Neuroscience

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Posts tagged neurons

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Eavesdropping on brain cell chatter
Everything we do — all of our movements, thoughts and feelings – are the result of neurons talking with one another, and recent studies have suggested that some of the conversations might not be all that private. Brain cells known as astrocytes may be listening in on, or even participating in, some of those discussions. But a new mouse study suggests that astrocytes might only be tuning in part of the time — specifically, when the neurons get really excited about something. This research, published in Neuron, was supported by the National Institute of Neurological Disorders and Stroke (NINDS), part of the National Institutes of Health.
For a long time, researchers thought that the star-shaped astrocytes (the name comes from the Greek word for star) were simply support cells for the neurons.
It turns out that these cells have a number of important jobs, including providing nutrients and signaling molecules to neurons, regulating blood flow, and removing brain chemicals called neurotransmitters from the synapse. The synapse is the point of information transfer between two neurons. At this connection point, neurotransmitters are released from one neuron to affect the electrical properties of the other. Long arms of astrocytes are located next to synapses, where they can keep tabs on the conversations going on between neurons.
In recent years, it has been shown that astrocytes may also play a role in neuronal communication. When neurons release neurotransmitters, levels of calcium change within astrocytes. Calcium is critical for many processes, including release of molecules from the cell, and activation of a host of proteins within the cell. The role of this astrocytic calcium signaling for brain function remains a mystery.
In this study, Baljit S. Khakh, Ph.D., of the University of California, Los Angeles and his colleagues wanted to know when astrocytes responded to neuron activity with changes in their internal calcium levels. Using calcium indicator dyes, the researchers were able to image, for the first time, changes in calcium levels in the entire astrocyte. Previously, it was only possible to look at certain areas of the cell at one time, which provided an incomplete picture of what was happening.
Dr. Khakh said one of the most important outcomes of this work was in the methods that were used. “What our use of these calcium indicators shows is that we can image calcium throughout the entire astrocyte. This provides a new set of tools for the research community to use and to extend these findings,” he said.
“There has been intense interest in understanding how astrocytes facilitate communication between neurons, but it is only recently that studies with this level of precision have been possible,” said Edmund Talley, Ph.D., program director at NINDS. “Dr. Khakh’s study is an example of an exciting basic, or fundamental, research project that could have an important contribution to the shifting field of astrocyte biology,” he added.
For these experiments, researchers focused on the mossy fiber pathway, which connects two areas of the hippocampus, the structure involved in learning and memory. “This pathway has a unique architecture and although it has been very well studied, the role of astrocytes in this circuit has not been previously explored. This study provides one of the first really detailed understandings of astrocytes within this particular circuit,” said Dr. Khakh.
Dr. Khakh’s team activated neurons (getting them to release neurotransmitter by a variety of techniques) and then looked for a response in the neighboring astrocyte. As calcium levels rose, the astrocyte would light up quickly. They discovered that two neurotransmitters, glutamate and GABA, triggered the astrocytes to release calcium from their internal stores. Importantly, the researchers discovered that calcium levels increased through the entire astrocyte only if there was a large burst of neurotransmitter being released.
“We found that astrocytes in the mossy fiber pathway do not listen to the constant, millisecond by millisecond synaptic chatter that neurons engage in. Instead, they listen when neurons get excessively excited during bursts of activation,” said Dr. Khakh.
These findings suggest that astrocytes in the mossy fiber system may act as a switch that reacts to large amounts of neuronal activity by raising their levels of calcium. These calcium increases occur over multiple seconds, a relatively long time period compared to that seen in neurons. The spatial extent of the astrocyte calcium increases was also relatively large in comparison to the size of the synapse.
“Astrocytes may be sitting there quietly and when there is excessive activation in the neuronal circuit, they immediately respond with an increase in calcium which we could detect. And the next big question becomes, what they do with that calcium?” said Dr. Khakh.
Dr. Khakh’s results in the mossy fiber system differ from those others have described in other brain regions. This raises the intriguing possibility that astrocytes are not all the same and may serve various roles throughout the brain.
“It would be really interesting and important to find that astrocytes function differently in different areas of the brain, in a circuit-specific manner. This study gives a hint that this might be true,” said Dr. Talley.

Eavesdropping on brain cell chatter

Everything we do — all of our movements, thoughts and feelings – are the result of neurons talking with one another, and recent studies have suggested that some of the conversations might not be all that private. Brain cells known as astrocytes may be listening in on, or even participating in, some of those discussions. But a new mouse study suggests that astrocytes might only be tuning in part of the time — specifically, when the neurons get really excited about something. This research, published in Neuron, was supported by the National Institute of Neurological Disorders and Stroke (NINDS), part of the National Institutes of Health.

For a long time, researchers thought that the star-shaped astrocytes (the name comes from the Greek word for star) were simply support cells for the neurons.

It turns out that these cells have a number of important jobs, including providing nutrients and signaling molecules to neurons, regulating blood flow, and removing brain chemicals called neurotransmitters from the synapse. The synapse is the point of information transfer between two neurons. At this connection point, neurotransmitters are released from one neuron to affect the electrical properties of the other. Long arms of astrocytes are located next to synapses, where they can keep tabs on the conversations going on between neurons.

In recent years, it has been shown that astrocytes may also play a role in neuronal communication. When neurons release neurotransmitters, levels of calcium change within astrocytes. Calcium is critical for many processes, including release of molecules from the cell, and activation of a host of proteins within the cell. The role of this astrocytic calcium signaling for brain function remains a mystery.

In this study, Baljit S. Khakh, Ph.D., of the University of California, Los Angeles and his colleagues wanted to know when astrocytes responded to neuron activity with changes in their internal calcium levels. Using calcium indicator dyes, the researchers were able to image, for the first time, changes in calcium levels in the entire astrocyte. Previously, it was only possible to look at certain areas of the cell at one time, which provided an incomplete picture of what was happening.

Dr. Khakh said one of the most important outcomes of this work was in the methods that were used. “What our use of these calcium indicators shows is that we can image calcium throughout the entire astrocyte. This provides a new set of tools for the research community to use and to extend these findings,” he said.

“There has been intense interest in understanding how astrocytes facilitate communication between neurons, but it is only recently that studies with this level of precision have been possible,” said Edmund Talley, Ph.D., program director at NINDS. “Dr. Khakh’s study is an example of an exciting basic, or fundamental, research project that could have an important contribution to the shifting field of astrocyte biology,” he added.

For these experiments, researchers focused on the mossy fiber pathway, which connects two areas of the hippocampus, the structure involved in learning and memory. “This pathway has a unique architecture and although it has been very well studied, the role of astrocytes in this circuit has not been previously explored. This study provides one of the first really detailed understandings of astrocytes within this particular circuit,” said Dr. Khakh.

Dr. Khakh’s team activated neurons (getting them to release neurotransmitter by a variety of techniques) and then looked for a response in the neighboring astrocyte. As calcium levels rose, the astrocyte would light up quickly. They discovered that two neurotransmitters, glutamate and GABA, triggered the astrocytes to release calcium from their internal stores. Importantly, the researchers discovered that calcium levels increased through the entire astrocyte only if there was a large burst of neurotransmitter being released.

“We found that astrocytes in the mossy fiber pathway do not listen to the constant, millisecond by millisecond synaptic chatter that neurons engage in. Instead, they listen when neurons get excessively excited during bursts of activation,” said Dr. Khakh.

These findings suggest that astrocytes in the mossy fiber system may act as a switch that reacts to large amounts of neuronal activity by raising their levels of calcium. These calcium increases occur over multiple seconds, a relatively long time period compared to that seen in neurons. The spatial extent of the astrocyte calcium increases was also relatively large in comparison to the size of the synapse.

“Astrocytes may be sitting there quietly and when there is excessive activation in the neuronal circuit, they immediately respond with an increase in calcium which we could detect. And the next big question becomes, what they do with that calcium?” said Dr. Khakh.

Dr. Khakh’s results in the mossy fiber system differ from those others have described in other brain regions. This raises the intriguing possibility that astrocytes are not all the same and may serve various roles throughout the brain.

“It would be really interesting and important to find that astrocytes function differently in different areas of the brain, in a circuit-specific manner. This study gives a hint that this might be true,” said Dr. Talley.

Filed under astrocytes neural activity calcium glutamate GABA hippocampus neurons neuroscience science

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Existence of new neuron repair pathway discovered
Most of your neurons can’t be replaced.
Other parts of your body – such as skin and bone – can be replaced by the body growing new cells, but when you injure your neurons, you can’t just grow new ones; instead, the existing cells have to repair themselves.
In the case of axon injury, the neuron is able to repair or sometimes even fully regenerate its axon. But neurons have two sides – the axon (which sends signals to other cells) and the dendrite (which receives signals from other cells).
Melissa Rolls, an associate professor of biochemistry and molecular biology at Penn State and director of the Huck Institutes’ Center for Cellular Dynamics, has done extensive comparisons of axons and dendrites – culminating recently in a paper published in Cell Reports.
“We know that the axon side can repair itself,” says Rolls, “and we know a bunch of the molecular players. But we really didn’t know whether neurons have the same capacity to regenerate their dendrites, and so that’s what we set out to find in this study.”
“Our lab uses a Drosophila model system, where the dendrites are very accessible to manipulation,” she says, “so we decided that we would start by removing all the dendrites from the neurons to see if they could regenerate. We didn’t start with anything subtle, like taking off just a few dendrites. We said ‘Let’s just push the system to its maximum and see if this is even possible.’ And we were surprised because we found that not only is it possible, it’s actually much faster than axon regeneration: at least in the cells that we’re using, axon regeneration takes a day or two to initiate, while dendrite regeneration typically initiates within four to six hours and it works really well. All the cells where we removed the dendrites grew new dendrites – none of them died; so it’s clear that these cells have a way to both detect dendrite injury and initiate regrowth of the injured part.”
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Existence of new neuron repair pathway discovered

Most of your neurons can’t be replaced.

Other parts of your body – such as skin and bone – can be replaced by the body growing new cells, but when you injure your neurons, you can’t just grow new ones; instead, the existing cells have to repair themselves.

In the case of axon injury, the neuron is able to repair or sometimes even fully regenerate its axon. But neurons have two sides – the axon (which sends signals to other cells) and the dendrite (which receives signals from other cells).

Melissa Rolls, an associate professor of biochemistry and molecular biology at Penn State and director of the Huck Institutes’ Center for Cellular Dynamics, has done extensive comparisons of axons and dendrites – culminating recently in a paper published in Cell Reports.

“We know that the axon side can repair itself,” says Rolls, “and we know a bunch of the molecular players. But we really didn’t know whether neurons have the same capacity to regenerate their dendrites, and so that’s what we set out to find in this study.”

“Our lab uses a Drosophila model system, where the dendrites are very accessible to manipulation,” she says, “so we decided that we would start by removing all the dendrites from the neurons to see if they could regenerate. We didn’t start with anything subtle, like taking off just a few dendrites. We said ‘Let’s just push the system to its maximum and see if this is even possible.’ And we were surprised because we found that not only is it possible, it’s actually much faster than axon regeneration: at least in the cells that we’re using, axon regeneration takes a day or two to initiate, while dendrite regeneration typically initiates within four to six hours and it works really well. All the cells where we removed the dendrites grew new dendrites – none of them died; so it’s clear that these cells have a way to both detect dendrite injury and initiate regrowth of the injured part.”

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Filed under neurons dendrites fruit flies dendrite regeneration axon regeneration neuroscience science

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(Image caption: During the learning processes, extensions grow on neurons. Synapses are located at the end of these extensions (left: as seen in nature; right: reconstruction). When the synapse growth is based on the correlated development of all synaptic components, it can remain stable for long periods of time. Credit: © MPI of Neurobiology/ Meyer)
Synapses – stability in transformation
Nothing lasts forever. This principle also applies to the proteins that make up the points of contact between our neurons. It is due to these proteins that the information arriving at a synapse can be transmitted and then received by the next neuron. When we learn something, new synapses are created or existing ones are strengthened. To enable us to retain long-term memories, synapses must remain stable for long periods of time, up to an entire lifetime. Researchers at the Max Planck Institute of Neurobiology in Martinsried near Munich have found an explanation as to how a synapse achieves remaining stable for a long time despite the fact that its proteins must be renewed regularly.
Learning in the laboratory
“We were interested first of all in what happens to the different components of a synapse when it grows during a learning process,” explains study leader Volker Scheuss. An understanding of how the components grow could also provide information about the long-term stability of synapses. Hence, the researchers studied the growth of synapses in tissue culture dishes following exposure to a (learning) stimulus. To do this, they deliberately activated individual synapses using the neurotransmitter glutamate: scientists have long known that glutamate plays an important role in learning processes and stimulates the growth of synapses. Over the following hours, the researchers observed the stimulated synapses and control synapses under a 2-photon microscope. To confirm the observed effects, they then examined individual synapses with the help of an electron microscope. “When you consider that individual synapses are only around one thousandth of a millimetre in size, this was quite a Sisyphean task,” says Tobias Bonhoeffer, the Director of the department where the research was carried out.
Synaptic stability – a concerted effort
The scientists discovered that during synapse growth the different protein structures always grew coordinated with each other. If one structural component was enlarged alone, or in a way that was not correctly correlated with the other components, its structural change would collapse soon after. Synapses with such incomplete changes cannot store any long-term memories.
The study findings show that the order and interaction between synaptic components is finely tuned and correlated. “In a system of this kind, it should be entirely possible to replace individual proteins while the rest of the structure maintains its integrity,” says Scheuss. However, if an entire group of components breaks away, the synapse is destabilised. This is also an important process given that the brain could not function correctly without the capacity to forget things. Hence, the study’s results provide not only important insight into the functioning and structure of synapses, they also establish a basis for a better understanding of memory loss, for example in the case of degenerative brain diseases.

(Image caption: During the learning processes, extensions grow on neurons. Synapses are located at the end of these extensions (left: as seen in nature; right: reconstruction). When the synapse growth is based on the correlated development of all synaptic components, it can remain stable for long periods of time. Credit: © MPI of Neurobiology/ Meyer)

Synapses – stability in transformation

Nothing lasts forever. This principle also applies to the proteins that make up the points of contact between our neurons. It is due to these proteins that the information arriving at a synapse can be transmitted and then received by the next neuron. When we learn something, new synapses are created or existing ones are strengthened. To enable us to retain long-term memories, synapses must remain stable for long periods of time, up to an entire lifetime. Researchers at the Max Planck Institute of Neurobiology in Martinsried near Munich have found an explanation as to how a synapse achieves remaining stable for a long time despite the fact that its proteins must be renewed regularly.

Learning in the laboratory

“We were interested first of all in what happens to the different components of a synapse when it grows during a learning process,” explains study leader Volker Scheuss. An understanding of how the components grow could also provide information about the long-term stability of synapses. Hence, the researchers studied the growth of synapses in tissue culture dishes following exposure to a (learning) stimulus. To do this, they deliberately activated individual synapses using the neurotransmitter glutamate: scientists have long known that glutamate plays an important role in learning processes and stimulates the growth of synapses. Over the following hours, the researchers observed the stimulated synapses and control synapses under a 2-photon microscope. To confirm the observed effects, they then examined individual synapses with the help of an electron microscope. “When you consider that individual synapses are only around one thousandth of a millimetre in size, this was quite a Sisyphean task,” says Tobias Bonhoeffer, the Director of the department where the research was carried out.

Synaptic stability – a concerted effort

The scientists discovered that during synapse growth the different protein structures always grew coordinated with each other. If one structural component was enlarged alone, or in a way that was not correctly correlated with the other components, its structural change would collapse soon after. Synapses with such incomplete changes cannot store any long-term memories.

The study findings show that the order and interaction between synaptic components is finely tuned and correlated. “In a system of this kind, it should be entirely possible to replace individual proteins while the rest of the structure maintains its integrity,” says Scheuss. However, if an entire group of components breaks away, the synapse is destabilised. This is also an important process given that the brain could not function correctly without the capacity to forget things. Hence, the study’s results provide not only important insight into the functioning and structure of synapses, they also establish a basis for a better understanding of memory loss, for example in the case of degenerative brain diseases.

Filed under synaptic plasticity neurons synapses learning glutamate neuroscience science

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Why your nose can be a pathfinder
When I was a child I used to sit in my grandfather’s workshop, playing with wood shavings. Freshly shaven wood has a distinct smell of childhood happiness, and whenever I get a whiff of that scent my brain immediately conjures up images of my grandfather at his working bench, the heat from the fireplace and the dog next to it.
Researchers at the Kavli Institute for Systems Neuroscience have recently discovered the process behind this phenomenon. The brain, it turns out, connects smells to memories through an associative process where neural networks are linked through synchronised brain waves of 20-40 Hz.
– We all know that smell is connected to memories, Kei Igarashi, lead author, explains.– We know that neurons in different brain regions need to oscillate in synchrony for these regions to speak effectively to each other. Still, the relationship between interregional coupling and formation of memory traces has remained poorly understood. So we designed a task to investigate how odour-place representation evolved in the entorhinal and hippocampal region, to figure out whether learning depends on coupling of oscillatory networks.
Smell guides the way in maze The researchers designed a maze for rats, where a rat would see a hole to poke its nose into. When poking into the hole, the rat was presented with one of two alternative smells. One smell told the rat that food would be found in the left food cup behind the rat. The other smell told it that there was food in the right cup. The rat would soon learn which smell would lead to a reward where. After three weeks of training, the rats chose correctly on more than 85% of the trials. In order to see what happened inside the brain during acquisition, 16–20 electrode pairs were inserted in the hippocampus and in different areas of the entorhinal cortex.
After the associations between smell and place were well established, the researchers could see a pattern of brain wave activity (the electrical signal from a large number of neurons) during retrieval.
Coherent brain activity evolves with learning – Immediately after the rat is exposed to the smell there is a burst in activity of 20–40 Hz waves in a specific connection between an area in the entorhinal cortex, lateral entorhinal cortex (LEC), and an area in the hippocampus, distal CA1 (dCA1), while a similar strong response was not observed in other connections, Igarashi explains.
This coherence of 20–40 Hz activity in the LEC and dCA1 evolved in parallel with learning, with little coherence between these areas before training started. By the time the learning period was over, cells were phase locked to the oscillation and a large portion of the cells responded specifically to one or the other of the smell-odour pairs.
Long distance communication in brain mediated by waves – This is not the first time we observe that the brain uses synchronised wave activity to establish network connections, Edvard Moser, director of the Kavli Institute for Systems Neuroscience says. – Both during encoding and retrieval of declarative memories there is an interaction between these areas mediated through gamma and theta oscillations. However, this is the first study to relate the development of a specific band of oscillations to memory performance in the hippocampus. Together, the evidence is now piling up and pointing in the direction of cortical oscillations as a general mechanism for mediating interactions among functionally specialised neurons in distributed brain circuits.
So, there you have it – the signals from your nose translate and connect to memories in an orchestrated symphony of signals in your head. Each of these memories connects to a location, pinpointed on your inner map. So when you feel a wave of reminiscence triggered by a fragrance, think about how waves created this connection in the first place.

Why your nose can be a pathfinder

When I was a child I used to sit in my grandfather’s workshop, playing with wood shavings. Freshly shaven wood has a distinct smell of childhood happiness, and whenever I get a whiff of that scent my brain immediately conjures up images of my grandfather at his working bench, the heat from the fireplace and the dog next to it.

Researchers at the Kavli Institute for Systems Neuroscience have recently discovered the process behind this phenomenon. The brain, it turns out, connects smells to memories through an associative process where neural networks are linked through synchronised brain waves of 20-40 Hz.

– We all know that smell is connected to memories, Kei Igarashi, lead author, explains.– We know that neurons in different brain regions need to oscillate in synchrony for these regions to speak effectively to each other. Still, the relationship between interregional coupling and formation of memory traces has remained poorly understood. So we designed a task to investigate how odour-place representation evolved in the entorhinal and hippocampal region, to figure out whether learning depends on coupling of oscillatory networks.

Smell guides the way in maze
The researchers designed a maze for rats, where a rat would see a hole to poke its nose into. When poking into the hole, the rat was presented with one of two alternative smells. One smell told the rat that food would be found in the left food cup behind the rat. The other smell told it that there was food in the right cup. The rat would soon learn which smell would lead to a reward where. After three weeks of training, the rats chose correctly on more than 85% of the trials. In order to see what happened inside the brain during acquisition, 16–20 electrode pairs were inserted in the hippocampus and in different areas of the entorhinal cortex.

After the associations between smell and place were well established, the researchers could see a pattern of brain wave activity (the electrical signal from a large number of neurons) during retrieval.

Coherent brain activity evolves with learning
– Immediately after the rat is exposed to the smell there is a burst in activity of 20–40 Hz waves in a specific connection between an area in the entorhinal cortex, lateral entorhinal cortex (LEC), and an area in the hippocampus, distal CA1 (dCA1), while a similar strong response was not observed in other connections, Igarashi explains.

This coherence of 20–40 Hz activity in the LEC and dCA1 evolved in parallel with learning, with little coherence between these areas before training started. By the time the learning period was over, cells were phase locked to the oscillation and a large portion of the cells responded specifically to one or the other of the smell-odour pairs.

Long distance communication in brain mediated by waves
– This is not the first time we observe that the brain uses synchronised wave activity to establish network connections, Edvard Moser, director of the Kavli Institute for Systems Neuroscience says. – Both during encoding and retrieval of declarative memories there is an interaction between these areas mediated through gamma and theta oscillations. However, this is the first study to relate the development of a specific band of oscillations to memory performance in the hippocampus. Together, the evidence is now piling up and pointing in the direction of cortical oscillations as a general mechanism for mediating interactions among functionally specialised neurons in distributed brain circuits.

So, there you have it – the signals from your nose translate and connect to memories in an orchestrated symphony of signals in your head. Each of these memories connects to a location, pinpointed on your inner map. So when you feel a wave of reminiscence triggered by a fragrance, think about how waves created this connection in the first place.

Filed under neurons smell memory brainwaves brain activity entorhinal cortex hippocampus neuroscience science

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Scientists Identify Key Cells in Touch Sensation
In a study published online today in the journal Nature, a team of Columbia University Medical Center researchers led by Ellen Lumpkin, PhD, associate professor of somatosensory biology, solve an age-old mystery of touch: how cells just beneath the skin surface enable us to feel fine details and textures.
Touch is the last frontier of sensory neuroscience. The cells and molecules that initiate vision—rod and cone cells and light-sensitive receptors—have been known since the early 20th century, and the senses of smell, taste, and hearing are increasingly understood. But almost nothing is known about the cells and molecules responsible for initiating our sense of touch.
This study is the first to use optogenetics—a new method that uses light as a signaling system to turn neurons on and off on demand—on skin cells to determine how they function and communicate.
The team showed that skin cells called Merkel cells can sense touch and that they work virtually hand in glove with the skin’s neurons to create what we perceive as fine details and textures.
“These experiments are the first direct proof that Merkel cells can encode touch into neural signals that transmit information to the brain about the objects in the world around us,” Dr. Lumpkin said.
The findings not only describe a key advance in our understanding of touch sensation, but may stimulate research into loss of sensitive-touch perception.
Several conditions—including diabetes and some cancer chemotherapy treatments, as well as normal aging—are known to reduce sensitive touch. Merkel cells begin to disappear in one’s early 20s, at the same time that tactile acuity starts to decline. “No one has tested whether the loss of Merkel cells causes loss of function with aging—it could be a coincidence—but it’s a question we’re interested in pursuing,” Dr. Lumpkin said.
In the future, these findings could inform the design of new “smart” prosthetics that restore touch sensation to limb amputees, as well as introduce new targets for treating skin diseases such as chronic itch.
The study was published in conjunction with a second study by the team done in collaboration with the Scripps Research Institute. The companion study identifies a touch-activated molecule in skin cells, a gene called Piezo2, whose discovery has the potential to significantly advance the field of touch perception.
“The new findings should open up the field of skin biology and reveal how sensations are initiated,” Dr. Lumpkin said. Other types of skin cells may also play a role in sensations of touch, as well as less pleasurable skin sensations, such as itch. The same optogenetics techniques that Dr. Lumpkin’s team applied to Merkel cells can now be applied to other skin cells to answer these questions.
“It’s an exciting time in our field because there are still big questions to answer, and the tools of modern neuroscience give us a way to tackle them,” she said.

Scientists Identify Key Cells in Touch Sensation

In a study published online today in the journal Nature, a team of Columbia University Medical Center researchers led by Ellen Lumpkin, PhD, associate professor of somatosensory biology, solve an age-old mystery of touch: how cells just beneath the skin surface enable us to feel fine details and textures.

Touch is the last frontier of sensory neuroscience. The cells and molecules that initiate vision—rod and cone cells and light-sensitive receptors—have been known since the early 20th century, and the senses of smell, taste, and hearing are increasingly understood. But almost nothing is known about the cells and molecules responsible for initiating our sense of touch.

This study is the first to use optogenetics—a new method that uses light as a signaling system to turn neurons on and off on demand—on skin cells to determine how they function and communicate.

The team showed that skin cells called Merkel cells can sense touch and that they work virtually hand in glove with the skin’s neurons to create what we perceive as fine details and textures.

“These experiments are the first direct proof that Merkel cells can encode touch into neural signals that transmit information to the brain about the objects in the world around us,” Dr. Lumpkin said.

The findings not only describe a key advance in our understanding of touch sensation, but may stimulate research into loss of sensitive-touch perception.

Several conditions—including diabetes and some cancer chemotherapy treatments, as well as normal aging—are known to reduce sensitive touch. Merkel cells begin to disappear in one’s early 20s, at the same time that tactile acuity starts to decline. “No one has tested whether the loss of Merkel cells causes loss of function with aging—it could be a coincidence—but it’s a question we’re interested in pursuing,” Dr. Lumpkin said.

In the future, these findings could inform the design of new “smart” prosthetics that restore touch sensation to limb amputees, as well as introduce new targets for treating skin diseases such as chronic itch.

The study was published in conjunction with a second study by the team done in collaboration with the Scripps Research Institute. The companion study identifies a touch-activated molecule in skin cells, a gene called Piezo2, whose discovery has the potential to significantly advance the field of touch perception.

“The new findings should open up the field of skin biology and reveal how sensations are initiated,” Dr. Lumpkin said. Other types of skin cells may also play a role in sensations of touch, as well as less pleasurable skin sensations, such as itch. The same optogenetics techniques that Dr. Lumpkin’s team applied to Merkel cells can now be applied to other skin cells to answer these questions.

“It’s an exciting time in our field because there are still big questions to answer, and the tools of modern neuroscience give us a way to tackle them,” she said.

Filed under sense of touch merkel cells neurons Piezo2 touch neuroscience science

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Uncovering the underlying causes of Parkinson’s disease
A breakthrough investigation by UTS researchers into the underlying causes of Parkinson’s disease has brought us a step closer to understanding how to manage the condition.
The team, led by UTS postdoctoral fellow Dr Dominic Hare and Professor Philip Doble, has produced the first empirical evidence that an imbalance of iron and dopamine in the substantia nigra pars compacta (SNc) region of the brain is the root cause of the neurodegenerative condition.
Caused by the slow loss of neurons in the SNc that control autonomous movement, Parkinson’s disease causes persistent shaking, gastrointestinal problems and a variety of other ailments.
More than 80,000 Australians suffer from the illness, most over the age of 60.
Hare’s findings, before only assumptions in the scientific community, finally validate the theory that iron and dopamine react to create free radicals in the brain that slowly destroy neuron pathways and bring about the onset of Parkinson’s.
"When these two chemicals react, it forms a toxic species of dopamine that essentially reacts like bleach in the brain," said Hare.
To conduct their research Hare and his team used a unique tagging technique using antibodies labelled with gold nanoparticles that acted as proxies for dopamine molecules. This enabled the team to monitor and “co-localise” metals with other molecules and proteins in the brain.
And the findings of this work, said Hare, were revelatory.
"What we found is those particular cells (in the SNc) have what you could call an ‘anti-Goldilocks effect’ – they have just the right amount of iron and just the right amount of dopamine to cause damage," said Dr Hare.
"When we give mice a toxin that mimics the effects of Parkinson’s disease, these cells degenerate."
Hare theorises that this effect is likely a natural result of aging, when the brain’s ability to securely store iron diminishes and allows iron molecules to “leak” into critical areas such as the SNc.
Finding ways to design drugs that can get into the brain and eliminate surplus iron – an initiative that is already well underway in the process of treating other illnesses like cancer and Alzheimer’s disease – is now the next step forward in research.
Preventative measures to halt the build-up of iron in the brain as humans undergo the aging process are also touted by Hare as an important next step, and is something he is now working on.
"I think the real hope is, while we might not necessarily find a cure, prevention is actually not that far away," said Hare.
"So it’s a case where you can wake up and say, ‘my Parkinson’s is flaring up again’, take a tablet and go about your business."

Uncovering the underlying causes of Parkinson’s disease

A breakthrough investigation by UTS researchers into the underlying causes of Parkinson’s disease has brought us a step closer to understanding how to manage the condition.

The team, led by UTS postdoctoral fellow Dr Dominic Hare and Professor Philip Doble, has produced the first empirical evidence that an imbalance of iron and dopamine in the substantia nigra pars compacta (SNc) region of the brain is the root cause of the neurodegenerative condition.

Caused by the slow loss of neurons in the SNc that control autonomous movement, Parkinson’s disease causes persistent shaking, gastrointestinal problems and a variety of other ailments.

More than 80,000 Australians suffer from the illness, most over the age of 60.

Hare’s findings, before only assumptions in the scientific community, finally validate the theory that iron and dopamine react to create free radicals in the brain that slowly destroy neuron pathways and bring about the onset of Parkinson’s.

"When these two chemicals react, it forms a toxic species of dopamine that essentially reacts like bleach in the brain," said Hare.

To conduct their research Hare and his team used a unique tagging technique using antibodies labelled with gold nanoparticles that acted as proxies for dopamine molecules. This enabled the team to monitor and “co-localise” metals with other molecules and proteins in the brain.

And the findings of this work, said Hare, were revelatory.

"What we found is those particular cells (in the SNc) have what you could call an ‘anti-Goldilocks effect’ – they have just the right amount of iron and just the right amount of dopamine to cause damage," said Dr Hare.

"When we give mice a toxin that mimics the effects of Parkinson’s disease, these cells degenerate."

Hare theorises that this effect is likely a natural result of aging, when the brain’s ability to securely store iron diminishes and allows iron molecules to “leak” into critical areas such as the SNc.

Finding ways to design drugs that can get into the brain and eliminate surplus iron – an initiative that is already well underway in the process of treating other illnesses like cancer and Alzheimer’s disease – is now the next step forward in research.

Preventative measures to halt the build-up of iron in the brain as humans undergo the aging process are also touted by Hare as an important next step, and is something he is now working on.

"I think the real hope is, while we might not necessarily find a cure, prevention is actually not that far away," said Hare.

"So it’s a case where you can wake up and say, ‘my Parkinson’s is flaring up again’, take a tablet and go about your business."

Filed under parkinson's disease substantia nigra dopamine iron neurons neurodegeneration neuroscience science

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Using your loaf to fight brain disease
Experts analyse baker’s yeast to discover potential for combatting neurological conditions like Parkinson’s and even cancer  
A humble ingredient of bread – baker’s yeast – has provided scientists with remarkable new insights into understanding basic processes likely involved in diseases such as Parkinson’s and cancer.
In a new study published in the prestigious journal PNAS (Proceedings of the National Academy of Science), the team from Germany, Leicester, and Portugal detail a new advance – describing for the first time a key feature in cellular development linked to the onset of these devastating diseases.
The research team is from the University Medical Center Goettingen, University of Leicester, and Instituto de Medicina Molecular, Lisbon, directed by long-time collaborators and senior authors Professor Tiago Outeiro and Dr Flaviano Giorgini.
Professor Outeiro, of the University Medical Center Goettingen, Goettingen and Instituto de Medicina Molecular, Lisbon, said: “This work shows how taking advantage of simple model organisms might help us speed up the discovery of more complex biological processes. Yeast cells are really excellent living test tubes, with a powerful toolbox that enabled us to learn about the underpinnings of complex human disorders.”
Dr Giorgini, of the world-renowned Department of Genetics, at the University of Leicester, added: “We are tremendously excited by our results. The family of proteins under investigation have always been a bit of a “black box”, and a true understanding of what these proteins do at a cellular level - and why they are important - has remained elusive. This work provides a step into this darkness.”
The current research takes advantage of the simplicity and genetic power of the baker’s yeast Saccharomyces cerevisiae to understand basic cellular processes underlying Parkinson’s disease. The team studied a family of proteins in yeast (Hsp31, Hsp32, Hsp33, and Hsp34) which are related to a human protein known as DJ-1. Mutations in the human DJ-1 protein cause early-onset inherited forms of Parkinson’s disease, and alterations in the human protein have been associated with more common forms of Parkinson’s disease as well. In addition, changes in DJ-1 function are also associated with certain forms of cancer.
Claire Bale, Research Communications Manager at Parkinson’s UK, commented: “This important research sheds new light on the root causes of Parkinson’s.
“Although mutations in the DJ-1 gene cause rare inherited forms of the condition, we believe that understanding the role of this crucial protein and how it helps keep nerve cells healthy could be important for developing treatments that can help all people with Parkinson’s. We look forward to hearing the results of future investigations in this emerging new area.”
Professor Outeiro continued: “We reasoned that, by studying the yeast cousins of the human protein we would gain important insight into the function these proteins play, and understand why they may cause disease.
Dr Giorgini added: “Though the human protein DJ-1 has been linked to Parkinson’s disease, its central cellular role is not well understood, and thus it is not clear why mutations in this protein cause this devastating disease. Our study sheds new light on what DJ-1 and related proteins are doing at a cellular level, and may thus ultimately have importance for better understanding Parkinson’s.”
The scientists discovered that the yeast versions of the human protein are important for maintenance of normal lifespan of the yeast cell and are involved in regulation of autophagy – a process which the cell employs to breakdown and recycle damaged cellular components. Lifespan and autophagy are central processes in the context of both Parkinson’s disease and cancer. This work is critical because it provides a precise cellular role for DJ-1 family proteins, which links to some of the molecular functions previously ascribed to these proteins. This work could ultimately provide new insight into the mechanisms that contribute to Parkinson’s and cancer.
Leonor Miller-Fleming, of the Instituto de Medicina Molecular, Lisbon and University of Leicester, said: “Our work is important because it suggests that human DJ-1 may function in a similar manner to the yeast version of this protein. We feel that similar studies should be performed with human DJ-1 in nerve cells, to clarify its function and to see if this contributes to the formation of Parkinson’s disease. Ultimately, the detailed understanding of how these proteins function may enable us to come up with novel strategies to treat Parkinson’s disease, cancer, and other related disorders.”
The collaborators believe the next steps in the research are to better understand the details of how the DJ-1 family of proteins regulates autophagy, and if this applies in human neurons, particularly dopaminergic neurons, which are the nerve cells most sensitive to loss in the Parkinson’s brain. Once the researchers build up on the findings they have now described, they will be in a better position to design novel strategies for therapeutic intervention.
Professor Outeiro explained: “This study highlights the importance of international collaborations and networks, in which different strengths are combined to yield novel insights into science. Importantly, this scientific collaboration is also based upon personal friendship between the two senior authors, which makes science ever more exciting and fun.”
Dr Giorgini added: “In addition, this work was primarily spearheaded by a single PhD student – Leonor Miller-Fleming – who drove the project forward with passion and creativity, showing the importance of promoting, supporting and funding doctoral research.”
Professor Outeiro said: “We were pioneers in the development of the first model of Parkinson’s disease in yeast cells. With this work, we explored the powerful toolbox of yeast cells to learn about DJ-1 proteins, also intimately linked to Parkinson’s disease. We are basically adding pieces to this complicated puzzle, and getting one step closer to understanding the origin of this disorder.”
(Image: © Wikipedia)

Using your loaf to fight brain disease

Experts analyse baker’s yeast to discover potential for combatting neurological conditions like Parkinson’s and even cancer

A humble ingredient of bread – baker’s yeast – has provided scientists with remarkable new insights into understanding basic processes likely involved in diseases such as Parkinson’s and cancer.

In a new study published in the prestigious journal PNAS (Proceedings of the National Academy of Science), the team from Germany, Leicester, and Portugal detail a new advance – describing for the first time a key feature in cellular development linked to the onset of these devastating diseases.

The research team is from the University Medical Center Goettingen, University of Leicester, and Instituto de Medicina Molecular, Lisbon, directed by long-time collaborators and senior authors Professor Tiago Outeiro and Dr Flaviano Giorgini.

Professor Outeiro, of the University Medical Center Goettingen, Goettingen and Instituto de Medicina Molecular, Lisbon, said: “This work shows how taking advantage of simple model organisms might help us speed up the discovery of more complex biological processes. Yeast cells are really excellent living test tubes, with a powerful toolbox that enabled us to learn about the underpinnings of complex human disorders.”

Dr Giorgini, of the world-renowned Department of Genetics, at the University of Leicester, added: “We are tremendously excited by our results. The family of proteins under investigation have always been a bit of a “black box”, and a true understanding of what these proteins do at a cellular level - and why they are important - has remained elusive. This work provides a step into this darkness.”

The current research takes advantage of the simplicity and genetic power of the baker’s yeast Saccharomyces cerevisiae to understand basic cellular processes underlying Parkinson’s disease. The team studied a family of proteins in yeast (Hsp31, Hsp32, Hsp33, and Hsp34) which are related to a human protein known as DJ-1. Mutations in the human DJ-1 protein cause early-onset inherited forms of Parkinson’s disease, and alterations in the human protein have been associated with more common forms of Parkinson’s disease as well. In addition, changes in DJ-1 function are also associated with certain forms of cancer.

Claire Bale, Research Communications Manager at Parkinson’s UK, commented: “This important research sheds new light on the root causes of Parkinson’s.

“Although mutations in the DJ-1 gene cause rare inherited forms of the condition, we believe that understanding the role of this crucial protein and how it helps keep nerve cells healthy could be important for developing treatments that can help all people with Parkinson’s. We look forward to hearing the results of future investigations in this emerging new area.”

Professor Outeiro continued: “We reasoned that, by studying the yeast cousins of the human protein we would gain important insight into the function these proteins play, and understand why they may cause disease.

Dr Giorgini added: “Though the human protein DJ-1 has been linked to Parkinson’s disease, its central cellular role is not well understood, and thus it is not clear why mutations in this protein cause this devastating disease. Our study sheds new light on what DJ-1 and related proteins are doing at a cellular level, and may thus ultimately have importance for better understanding Parkinson’s.”

The scientists discovered that the yeast versions of the human protein are important for maintenance of normal lifespan of the yeast cell and are involved in regulation of autophagy – a process which the cell employs to breakdown and recycle damaged cellular components. Lifespan and autophagy are central processes in the context of both Parkinson’s disease and cancer. This work is critical because it provides a precise cellular role for DJ-1 family proteins, which links to some of the molecular functions previously ascribed to these proteins. This work could ultimately provide new insight into the mechanisms that contribute to Parkinson’s and cancer.

Leonor Miller-Fleming, of the Instituto de Medicina Molecular, Lisbon and University of Leicester, said: “Our work is important because it suggests that human DJ-1 may function in a similar manner to the yeast version of this protein. We feel that similar studies should be performed with human DJ-1 in nerve cells, to clarify its function and to see if this contributes to the formation of Parkinson’s disease. Ultimately, the detailed understanding of how these proteins function may enable us to come up with novel strategies to treat Parkinson’s disease, cancer, and other related disorders.”

The collaborators believe the next steps in the research are to better understand the details of how the DJ-1 family of proteins regulates autophagy, and if this applies in human neurons, particularly dopaminergic neurons, which are the nerve cells most sensitive to loss in the Parkinson’s brain. Once the researchers build up on the findings they have now described, they will be in a better position to design novel strategies for therapeutic intervention.

Professor Outeiro explained: “This study highlights the importance of international collaborations and networks, in which different strengths are combined to yield novel insights into science. Importantly, this scientific collaboration is also based upon personal friendship between the two senior authors, which makes science ever more exciting and fun.”

Dr Giorgini added: “In addition, this work was primarily spearheaded by a single PhD student – Leonor Miller-Fleming – who drove the project forward with passion and creativity, showing the importance of promoting, supporting and funding doctoral research.”

Professor Outeiro said: “We were pioneers in the development of the first model of Parkinson’s disease in yeast cells. With this work, we explored the powerful toolbox of yeast cells to learn about DJ-1 proteins, also intimately linked to Parkinson’s disease. We are basically adding pieces to this complicated puzzle, and getting one step closer to understanding the origin of this disorder.”

(Image: © Wikipedia)

Filed under parkinson's disease yeast DJ-1 gene autophagy neurons neuroscience science

253 notes

Experimental Cancer Drug Reverses Schizophrenia in Adolescent Mice
Johns Hopkins researchers say that an experimental anticancer compound appears to have reversed behaviors associated with schizophrenia and restored some lost brain cell function in adolescent mice with a rodent version of the devastating mental illness.
The drug is one of a class of compounds known as PAK inhibitors, which have been shown in animal experiments to confer some protection from brain damage due to Fragile X syndrome, an inherited disease in humans marked by mental retardation. There also is some evidence, experts say, suggesting PAK inhibitors could be used to treat Alzheimer’s disease. And because the PAK protein itself can initiate cancer and cell growth, PAK inhibitors have also been tested for cancer.
In the new Johns Hopkins-led study, reported online March 31 in the Proceedings of the National Academy of Sciences, the researchers found that the compound, called FRAX486, appears to halt an out-of-control biological “pruning” process in the schizophrenic brain during which important neural connections are unnecessarily destroyed. Working with mice that mimic the pathological progression of schizophrenia and related disorders, the researchers were able to partially restore disabled neurons so they could connect to other nerve cells.
The Johns Hopkins team says the findings in teenage mice are an especially promising step in efforts to develop better therapies for schizophrenia in humans, because schizophrenia symptoms typically appear in late adolescence and early adulthood.
“By using this compound to block excess pruning in adolescent mice, we also normalized the behavior deficit,” says study leader Akira Sawa, M.D., Ph.D., a professor of psychiatry and behavioral sciences at the Johns Hopkins University School of Medicine. “That we could intervene in adolescence and still make a difference in restoring brain function in these mice is intriguing.”
For the mouse experiments, Sawa and his colleagues chemically turned down the expression of a gene known as Disrupted-in-Schizophrenia 1 (DISC1), whose protein appears to regulate the fate of neurons in the cerebral cortex responsible for “higher-order” functions, like information processing.
In studies of rodent brain cells, the researchers found that a DISC1 deficit caused deterioration of vital parts of the neuron called spines, which help neurons communicate with one another.
Reduced amounts of DISC1 protein also impact the development of a protein called Kalirin-7 (KAL7), which is needed to regulate another protein called Rac1. Without enough DISC1, KAL7 can’t adequately control Rac1 production and the development of neuronal spines. Excess Rac1 apparently erases spines and leads to excess PAK in the mice.
By using FRAX486 to reduce the activity of PAK, the researchers were able to protect against the deterioration of the spines caused by too little DISC1, halting the process. This normalized the excess pruning and resulted in the restoration of missing spines. They were able to see this by peering into the brains of the mice with DISC1 mutations on the 35th and 60th day of their lives, the equivalent of adolescence and young adulthood.
Sawa, who is also director of the Johns Hopkins Schizophrenia Center, cautions that it has not yet been shown that PAK is elevated in the brains of people with schizophrenia. Thus, he says, it is important to validate these results by determining whether this haywire PAK cascade is also occurring in humans.
In the mice, the researchers also found that their behavior improved when PAK inhibitors were used. The mice were tested for their reaction to noises. There is a neuropsychiatric phenomenon in which any organism will react less to a strong, startling sound when they have first been primed by hearing a weaker one. In schizophrenia, the first noise makes no impact on the reaction to the second one.
The mice in the study showed improvements in their reactions after being treated with the PAK inhibitor. The drug was given in small doses and appeared to be safe for the animals.
“Drugs aimed at treating a disease should be able to reverse an already existing defect as well as block future damage,” Sawa says. “This compound has the potential to do both.”
(Image: iStockphoto)

Experimental Cancer Drug Reverses Schizophrenia in Adolescent Mice

Johns Hopkins researchers say that an experimental anticancer compound appears to have reversed behaviors associated with schizophrenia and restored some lost brain cell function in adolescent mice with a rodent version of the devastating mental illness.

The drug is one of a class of compounds known as PAK inhibitors, which have been shown in animal experiments to confer some protection from brain damage due to Fragile X syndrome, an inherited disease in humans marked by mental retardation. There also is some evidence, experts say, suggesting PAK inhibitors could be used to treat Alzheimer’s disease. And because the PAK protein itself can initiate cancer and cell growth, PAK inhibitors have also been tested for cancer.

In the new Johns Hopkins-led study, reported online March 31 in the Proceedings of the National Academy of Sciences, the researchers found that the compound, called FRAX486, appears to halt an out-of-control biological “pruning” process in the schizophrenic brain during which important neural connections are unnecessarily destroyed.
Working with mice that mimic the pathological progression of schizophrenia and related disorders, the researchers were able to partially restore disabled neurons so they could connect to other nerve cells.

The Johns Hopkins team says the findings in teenage mice are an especially promising step in efforts to develop better therapies for schizophrenia in humans, because schizophrenia symptoms typically appear in late adolescence and early adulthood.

“By using this compound to block excess pruning in adolescent mice, we also normalized the behavior deficit,” says study leader Akira Sawa, M.D., Ph.D., a professor of psychiatry and behavioral sciences at the Johns Hopkins University School of Medicine. “That we could intervene in adolescence and still make a difference in restoring brain function in these mice is intriguing.”

For the mouse experiments, Sawa and his colleagues chemically turned down the expression of a gene known as Disrupted-in-Schizophrenia 1 (DISC1), whose protein appears to regulate the fate of neurons in the cerebral cortex responsible for “higher-order” functions, like information processing.

In studies of rodent brain cells, the researchers found that a DISC1 deficit caused deterioration of vital parts of the neuron called spines, which help neurons communicate with one another.

Reduced amounts of DISC1 protein also impact the development of a protein called Kalirin-7 (KAL7), which is needed to regulate another protein called Rac1. Without enough DISC1, KAL7 can’t adequately control Rac1 production and the development of neuronal spines. Excess Rac1 apparently erases spines and leads to excess PAK in the mice.

By using FRAX486 to reduce the activity of PAK, the researchers were able to protect against the deterioration of the spines caused by too little DISC1, halting the process. This normalized the excess pruning and resulted in the restoration of missing spines. They were able to see this by peering into the brains of the mice with DISC1 mutations on the 35th and 60th day of their lives, the equivalent of adolescence and young adulthood.

Sawa, who is also director of the Johns Hopkins Schizophrenia Center, cautions that it has not yet been shown that PAK is elevated in the brains of people with schizophrenia. Thus, he says, it is important to validate these results by determining whether this haywire PAK cascade is also occurring in humans.

In the mice, the researchers also found that their behavior improved when PAK inhibitors were used. The mice were tested for their reaction to noises. There is a neuropsychiatric phenomenon in which any organism will react less to a strong, startling sound when they have first been primed by hearing a weaker one. In schizophrenia, the first noise makes no impact on the reaction to the second one.

The mice in the study showed improvements in their reactions after being treated with the PAK inhibitor. The drug was given in small doses and appeared to be safe for the animals.

“Drugs aimed at treating a disease should be able to reverse an already existing defect as well as block future damage,” Sawa says. “This compound has the potential to do both.”

(Image: iStockphoto)

Filed under schizophrenia mental illness DISC1 neurons Kalirin-7 dendritic spine cancer neuroscience science

273 notes

New respect for primary visual cortex



In the context of learning and memory, the primary visual cortex is the Rodney Dangerfield of cortical areas: It gets no respect. Also known as “V1,” this brain region is the very first place where information from the retina arrives in the cerebral cortex.
Many existing models of visual processing have dismissed V1 as a static filter, capable only of detecting objects’ edges and passively conveying this information to higher-order visual areas that do the hard work of learning, recognition, prediction, and cognition. But a new MIT study brings fresh respect for the lowly visual cortex: Building on growing evidence that V1 can do more than detect edges, neuroscientist Mark Bear and his postdoc Jeffrey Gavornik have shown that V1 is the site of a complex type of learning involving spatial-temporal sequences.
“We rely on spatial-temporal sequence learning for everything we do,” says Bear, the Picower Professor of Neuroscience at MIT, a Howard Hughes Medical Institute investigator, and the senior author of the study, which appeared in the March 23 online edition of Nature Neuroscience. “It is how we predict what is coming next so that we can modify our behavior accordingly.”
Sequence learning — or a lack thereof — explains why driving on an unfamiliar road at night, with sparse visual information, is such a white-knuckle experience compared with driving more familiar routes that offer visual cues to predict the road ahead. It is also what allows baseball batters to hit balls traveling too fast to actually see: They do so using visual cues from the pitcher’s throw to predict the arc, trajectory, and timing based on past experience.
The value of V1
In the past decade, researchers have begun to chip away at the view of V1 as an immutable, passive brain region. Studies have shown, for example, that V1 can change in response to experience, a hallmark of plasticity. “Every new discovery allowed us to ask a new question that would have seemed outlandish before,” Bear says.
For the new study, the outlandish question was whether V1 could learn to recognize sequences. To find out, Gavornik designed experiments using gratings of black and white stripes in different orientations — the type of stimuli known to cause responses in V1 neurons. For a training sequence, he showed mice gratings in four different orientations — a combination labeled “ABCD” — in the same order 200 times a day for four days. Control mice saw randomly ordered sequences.
On the fifth day, Gavornik presented the training sequences and random sequences, and measured the V1 neural responses. Among mice that had seen the learned sequence, ABCD, that sequence elicited a more powerful response than unfamiliar sequences — indicating the V1 had changed in response to experience.
Bear then altered the timing of the sequences and found that V1 also detected very precise temporal alternations. That makes sense, he notes: In real life, sequencing and timing are always coupled, so the brain must have a mechanism to respond to this pairing.
Implications for human disease
The most “mind-blowing” results of the study, Bear says, came from experiments testing the neural response when the second visual stimulus, “B,” was replaced with a gray screen following the first stimulus, “A.”
“The primary visual cortex responded as if B were there,” Bear says. “The recordings did not report on what the animal was seeing, but on what the animal was expecting to see.”
“V1 had formed a memory that B follows A, and it used that memory to predict what would happen next, after A,” Gavornik adds. “It is as if the mouse were [acting] based on previously learned visual cues.”
But did the experience-dependent plasticity evident in V1 actually arise there, or did it reflect feedback from a higher brain region that underwent a change? To find out, Gavornik injected a blocker of receptors for the neurotransmitter acetylcholine, which is also known to be important for memory formation in the brain. He found that this treatment prevented learning in the targeted V1 region.
“A disruption in acetylcholine signaling is one of the first things to go wrong in Alzheimer’s disease, and one of the few approved treatments for this disease are drugs that promote the action of acetylcholine,” Bear says. “Our study raises the possibility of using visual sequence learning as a sensitive assay for earlier diagnosis of Alzheimer’s, when therapeutic interventions have a better chance of slowing the disease.”
Spatial-temporal sequence learning is also impaired in schizophrenia and dyslexia, but the origins of this impairment remain a mystery. “When we discover what is going on at a neural and molecular level, maybe we can understand better what happens in human disorders and look for new therapeutic approaches,” Gavornik says.
On a broader scale, the involvement of V1 in higher-level cognitive functions might have intrigued the renowned Spanish neuroscientist (and future Nobel laureate) Santiago Ramón y Cajal, who in 1899 speculated that despite significant heterogeneity, different regions of cortex still follow general principles. “Our study supports Cajal’s theory,” Bear says, “because we show that basic cortical computations may be fundamentally similar in higher and lower regions, even if they are used to serve different functions.”

New respect for primary visual cortex

In the context of learning and memory, the primary visual cortex is the Rodney Dangerfield of cortical areas: It gets no respect. Also known as “V1,” this brain region is the very first place where information from the retina arrives in the cerebral cortex.

Many existing models of visual processing have dismissed V1 as a static filter, capable only of detecting objects’ edges and passively conveying this information to higher-order visual areas that do the hard work of learning, recognition, prediction, and cognition. But a new MIT study brings fresh respect for the lowly visual cortex: Building on growing evidence that V1 can do more than detect edges, neuroscientist Mark Bear and his postdoc Jeffrey Gavornik have shown that V1 is the site of a complex type of learning involving spatial-temporal sequences.

“We rely on spatial-temporal sequence learning for everything we do,” says Bear, the Picower Professor of Neuroscience at MIT, a Howard Hughes Medical Institute investigator, and the senior author of the study, which appeared in the March 23 online edition of Nature Neuroscience. “It is how we predict what is coming next so that we can modify our behavior accordingly.”

Sequence learning — or a lack thereof — explains why driving on an unfamiliar road at night, with sparse visual information, is such a white-knuckle experience compared with driving more familiar routes that offer visual cues to predict the road ahead. It is also what allows baseball batters to hit balls traveling too fast to actually see: They do so using visual cues from the pitcher’s throw to predict the arc, trajectory, and timing based on past experience.

The value of V1

In the past decade, researchers have begun to chip away at the view of V1 as an immutable, passive brain region. Studies have shown, for example, that V1 can change in response to experience, a hallmark of plasticity. “Every new discovery allowed us to ask a new question that would have seemed outlandish before,” Bear says.

For the new study, the outlandish question was whether V1 could learn to recognize sequences. To find out, Gavornik designed experiments using gratings of black and white stripes in different orientations — the type of stimuli known to cause responses in V1 neurons. For a training sequence, he showed mice gratings in four different orientations — a combination labeled “ABCD” — in the same order 200 times a day for four days. Control mice saw randomly ordered sequences.

On the fifth day, Gavornik presented the training sequences and random sequences, and measured the V1 neural responses. Among mice that had seen the learned sequence, ABCD, that sequence elicited a more powerful response than unfamiliar sequences — indicating the V1 had changed in response to experience.

Bear then altered the timing of the sequences and found that V1 also detected very precise temporal alternations. That makes sense, he notes: In real life, sequencing and timing are always coupled, so the brain must have a mechanism to respond to this pairing.

Implications for human disease

The most “mind-blowing” results of the study, Bear says, came from experiments testing the neural response when the second visual stimulus, “B,” was replaced with a gray screen following the first stimulus, “A.”

“The primary visual cortex responded as if B were there,” Bear says. “The recordings did not report on what the animal was seeing, but on what the animal was expecting to see.”

“V1 had formed a memory that B follows A, and it used that memory to predict what would happen next, after A,” Gavornik adds. “It is as if the mouse were [acting] based on previously learned visual cues.”

But did the experience-dependent plasticity evident in V1 actually arise there, or did it reflect feedback from a higher brain region that underwent a change? To find out, Gavornik injected a blocker of receptors for the neurotransmitter acetylcholine, which is also known to be important for memory formation in the brain. He found that this treatment prevented learning in the targeted V1 region.

“A disruption in acetylcholine signaling is one of the first things to go wrong in Alzheimer’s disease, and one of the few approved treatments for this disease are drugs that promote the action of acetylcholine,” Bear says. “Our study raises the possibility of using visual sequence learning as a sensitive assay for earlier diagnosis of Alzheimer’s, when therapeutic interventions have a better chance of slowing the disease.”

Spatial-temporal sequence learning is also impaired in schizophrenia and dyslexia, but the origins of this impairment remain a mystery. “When we discover what is going on at a neural and molecular level, maybe we can understand better what happens in human disorders and look for new therapeutic approaches,” Gavornik says.

On a broader scale, the involvement of V1 in higher-level cognitive functions might have intrigued the renowned Spanish neuroscientist (and future Nobel laureate) Santiago Ramón y Cajal, who in 1899 speculated that despite significant heterogeneity, different regions of cortex still follow general principles. “Our study supports Cajal’s theory,” Bear says, “because we show that basic cortical computations may be fundamentally similar in higher and lower regions, even if they are used to serve different functions.”

Filed under primary visual cortex sequence learning learning V1 plasticity neurons neuroscience science

108 notes

Huntington’s disease: Study discovers potassium boost improves walking in mouse model
Tweaking a specific cell type’s ability to absorb potassium in the brain improved walking and prolonged survival in a mouse model of Huntington’s disease, reports a UCLA study published March 30 in the online edition of Nature Neuroscience. The discovery could point to new drug targets for treating the devastating disease, which strikes one in every 20,000 Americans.
Huntington’s disease is passed from parent to child through a mutation in the huntingtin gene. By killing brain cells called neurons, the progressive disorder gradually deprives patients of their ability to walk, speak, swallow, breathe and think clearly. No cure exists, and patients with aggressive cases can die in as little as 10 years.
The laboratories of Baljit Khakh, a professor of physiology and neurobiology, and Michael Sofroniew, a professor of neurobiology, teamed up at the David Geffen School of Medicine at UCLA to unravel the role played in Huntington’s by astrocytes—large, star-shaped cells found in the brain and spinal cord.
Read more

Huntington’s disease: Study discovers potassium boost improves walking in mouse model

Tweaking a specific cell type’s ability to absorb potassium in the brain improved walking and prolonged survival in a mouse model of Huntington’s disease, reports a UCLA study published March 30 in the online edition of Nature Neuroscience. The discovery could point to new drug targets for treating the devastating disease, which strikes one in every 20,000 Americans.

Huntington’s disease is passed from parent to child through a mutation in the huntingtin gene. By killing brain cells called neurons, the progressive disorder gradually deprives patients of their ability to walk, speak, swallow, breathe and think clearly. No cure exists, and patients with aggressive cases can die in as little as 10 years.

The laboratories of Baljit Khakh, a professor of physiology and neurobiology, and Michael Sofroniew, a professor of neurobiology, teamed up at the David Geffen School of Medicine at UCLA to unravel the role played in Huntington’s by astrocytes—large, star-shaped cells found in the brain and spinal cord.

Read more

Filed under huntington's disease astrocytes huntingtin neurons animal model gene mutation neuroscience science

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