Neuroscience

Articles and news from the latest research reports.

Posts tagged brain

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The Strange Neuroscience of Immortality
In the basement of the Northwest Science Building here at Harvard University, a locked door is marked with a pink and yellow sign: “Caution: Radioactive Material.” Inside researchers buzz around wearing dour expressions and plastic gloves. Among them is Kenneth Hayworth. He’s tall and gaunt, dressed in dark-blue jeans, a blue polo shirt, and gray running shoes. He looks like someone who sleeps little and eats less.
Hayworth has spent much of the past few years in a windowless room carving brains into very thin slices. He is by all accounts a curious man, known for casually saying things like, “The human race is on a beeline to mind uploading: We will preserve a brain, slice it up, simulate it on a computer, and hook it up to a robot body.” He wants that brain to be his brain. He wants his 100 billion neurons and more than 100 trillion synapses to be encased in a block of transparent, amber-colored resin—before he dies of natural causes.
Why? Ken Hayworth believes that he can live forever.
But first he has to die.
"If your body stops functioning, it starts to eat itself," he explains to me one drab morning this spring, "so you have to shut down the enzymes that destroy the tissue." If all goes according to plan, he says cheerfully, "I’ll be a perfect fossil." Then one day, not too long from now, his consciousness will be revived on a computer. By 2110, Hayworth predicts, mind uploading—the transfer of a biological brain to a silicon-based operating system—will be as common as laser eye surgery is today.

The Strange Neuroscience of Immortality

In the basement of the Northwest Science Building here at Harvard University, a locked door is marked with a pink and yellow sign: “Caution: Radioactive Material.” Inside researchers buzz around wearing dour expressions and plastic gloves. Among them is Kenneth Hayworth. He’s tall and gaunt, dressed in dark-blue jeans, a blue polo shirt, and gray running shoes. He looks like someone who sleeps little and eats less.

Hayworth has spent much of the past few years in a windowless room carving brains into very thin slices. He is by all accounts a curious man, known for casually saying things like, “The human race is on a beeline to mind uploading: We will preserve a brain, slice it up, simulate it on a computer, and hook it up to a robot body.” He wants that brain to be his brain. He wants his 100 billion neurons and more than 100 trillion synapses to be encased in a block of transparent, amber-colored resin—before he dies of natural causes.

Why? Ken Hayworth believes that he can live forever.

But first he has to die.

"If your body stops functioning, it starts to eat itself," he explains to me one drab morning this spring, "so you have to shut down the enzymes that destroy the tissue." If all goes according to plan, he says cheerfully, "I’ll be a perfect fossil." Then one day, not too long from now, his consciousness will be revived on a computer. By 2110, Hayworth predicts, mind uploading—the transfer of a biological brain to a silicon-based operating system—will be as common as laser eye surgery is today.

Filed under brain connectomics neuroscience psychology science

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A 12-year-old schoolgirl has been accepted into Mensa after discovering she is brainier than both Albert Einstein and Stephen Hawking.
Olivia Manning, from Liverpool, managed to get a whopping score in an IQ test of 162 - well above the 100 average.
Her score is not only two points better than genius German physicist Einstein and Professor Stephen Hawking, but puts her in the top one per cent of intelligent people in the world.
(Other sources: Liverpool Daily Post)

A 12-year-old schoolgirl has been accepted into Mensa after discovering she is brainier than both Albert Einstein and Stephen Hawking.

Olivia Manning, from Liverpool, managed to get a whopping score in an IQ test of 162 - well above the 100 average.

Her score is not only two points better than genius German physicist Einstein and Professor Stephen Hawking, but puts her in the top one per cent of intelligent people in the world.

(Other sources: Liverpool Daily Post)

Filed under brain intelligence IQ Einstein Hawking Olivia Manning neuroscience psychology science

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Delayed Development: 20-Somethings Blame the Brain

Recent research into how the brain develops suggests that people are better equipped to make major life decisions in their late 20s than earlier in the decade. The brain, once thought to be fully grown after puberty, is still evolving into its adult shape well into a person’s third decade, pruning away unused connections and strengthening those that remain, scientists say.
"Until very recently, we had to make some pretty important life decisions about education and career paths, who to marry and whether to go into the military at a time when parts of our brains weren’t optimal yet," says neuroscientist Jay Giedd at the National Institute of Mental Health, whose brain-imaging studies of thousands of young people have yielded many of the new insights. Postponing those decisions makes sense biologically, he says. "It’s a good thing that the 20s are becoming a time for self-discovery."
Such findings are part of a new wave of research into “emerging adulthood,” the years roughly from 18 to 29, which psychologists, sociologists and neuroscientists increasingly see as a distinct life stage. The gap between adolescence and full adulthood is becoming ever wider as more young people willingly or because of economic necessity prolong their education and postpone traditional adult responsibilities. As recently as the 1960s, the average age of first marriage for women in the U.S. was 20, and men 22. Today, the average is 26 for women and 28 for men.

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Delayed Development: 20-Somethings Blame the Brain

Recent research into how the brain develops suggests that people are better equipped to make major life decisions in their late 20s than earlier in the decade. The brain, once thought to be fully grown after puberty, is still evolving into its adult shape well into a person’s third decade, pruning away unused connections and strengthening those that remain, scientists say.

"Until very recently, we had to make some pretty important life decisions about education and career paths, who to marry and whether to go into the military at a time when parts of our brains weren’t optimal yet," says neuroscientist Jay Giedd at the National Institute of Mental Health, whose brain-imaging studies of thousands of young people have yielded many of the new insights. Postponing those decisions makes sense biologically, he says. "It’s a good thing that the 20s are becoming a time for self-discovery."

Such findings are part of a new wave of research into “emerging adulthood,” the years roughly from 18 to 29, which psychologists, sociologists and neuroscientists increasingly see as a distinct life stage. The gap between adolescence and full adulthood is becoming ever wider as more young people willingly or because of economic necessity prolong their education and postpone traditional adult responsibilities. As recently as the 1960s, the average age of first marriage for women in the U.S. was 20, and men 22. Today, the average is 26 for women and 28 for men.

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Filed under brain brain development adolescence adulthood neuroscience psychology science

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Struggling to Reconcile Conflicting Beliefs? Listen to Some Mozart
Countless claims have been made regarding the music of Mozart. Studies have suggested it can relieve depression, decrease pain, and even spark an increase in certain types of intelligence. One recent paper found it even increased heart transplant survival in mice.
Two researchers have identified another benefit. They provide preliminary evidence that listening to Mozart can help us cope with cognitive dissonance—that intense feeling of discomfort that arises when we realize two of our core beliefs are at odds.
The ability to recognize and accept the unpleasant reality that our convictions sometimes conflict is a key sign of emotional maturity. Without it, our instinct is to devalue, or refuse to believe, the information that makes us uncomfortable.
One example: If climate change requires collective action, and your instinct is to prize individual liberty, you can quell any cognitive dissonance by simply refusing to believe global warming is real.

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Struggling to Reconcile Conflicting Beliefs? Listen to Some Mozart

Countless claims have been made regarding the music of Mozart. Studies have suggested it can relieve depression, decrease pain, and even spark an increase in certain types of intelligence. One recent paper found it even increased heart transplant survival in mice.

Two researchers have identified another benefit. They provide preliminary evidence that listening to Mozart can help us cope with cognitive dissonance—that intense feeling of discomfort that arises when we realize two of our core beliefs are at odds.

The ability to recognize and accept the unpleasant reality that our convictions sometimes conflict is a key sign of emotional maturity. Without it, our instinct is to devalue, or refuse to believe, the information that makes us uncomfortable.

One example: If climate change requires collective action, and your instinct is to prize individual liberty, you can quell any cognitive dissonance by simply refusing to believe global warming is real.

Read more

Filed under Mozart brain cognitive dissonance music neuroscience psychology science

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How Do Blind People Picture Reality?
Paul Gabias has never seen a table. He was born prematurely and went blind shortly thereafter, most likely because of overexposure to oxygen in his incubator. And yet, Gabias, 60, has no trouble perceiving the table next to him. “My image of the table is exactly the same as a table,” he said. “It has height, depth, width, texture; I can picture the whole thing all at once. It just has no color.”
If you have trouble constructing a mental picture of a table that has no color — not even black or white — that’s probably because you’re blinded by your ability to see. Sighted people visualize the surrounding world by detecting borders between areas rich in different wavelengths of light, which we see as different colors. Gabias, like many blind people, builds pictures using his sense of touch, and by listening to the echoes of clicks of his tongue and taps of his cane as these sounds bounce off objects in his surroundings, a technique called echolocation.

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How Do Blind People Picture Reality?

Paul Gabias has never seen a table. He was born prematurely and went blind shortly thereafter, most likely because of overexposure to oxygen in his incubator. And yet, Gabias, 60, has no trouble perceiving the table next to him. “My image of the table is exactly the same as a table,” he said. “It has height, depth, width, texture; I can picture the whole thing all at once. It just has no color.”

If you have trouble constructing a mental picture of a table that has no color — not even black or white — that’s probably because you’re blinded by your ability to see. Sighted people visualize the surrounding world by detecting borders between areas rich in different wavelengths of light, which we see as different colors. Gabias, like many blind people, builds pictures using his sense of touch, and by listening to the echoes of clicks of his tongue and taps of his cane as these sounds bounce off objects in his surroundings, a technique called echolocation.

Read more

Filed under brain vision blindness reality mental representation perception neuroscience psychology science

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Whether you like someone can affect how your brain processes their actions, according to new research from the Brain and Creativity Institute at the USC Dornsife College of Letters, Arts and Sciences.
Most of the time, watching someone else move causes a “mirroring” effect — that is, the parts of our brains responsible for motor skills are activated by watching someone else in action.
But a study by USC researchers appearing in PLOS ONE shows that whether you like the person you’re watching can actually have an effect on brain activity related to motor actions and lead to “differential processing” — for example, thinking the person you dislike is moving more slowly than they actually are.
“We address the basic question of whether social factors influence our perception of simple actions,” said Lisa Aziz-Zadeh, assistant professor with the Brain and Creativity Institute and the Division of Occupational Science. “These results indicate that an abstract sense of group membership, and not only differences in physical appearance, can affect basic sensory-motor processing.”

Whether you like someone can affect how your brain processes their actions, according to new research from the Brain and Creativity Institute at the USC Dornsife College of Letters, Arts and Sciences.

Most of the time, watching someone else move causes a “mirroring” effect — that is, the parts of our brains responsible for motor skills are activated by watching someone else in action.

But a study by USC researchers appearing in PLOS ONE shows that whether you like the person you’re watching can actually have an effect on brain activity related to motor actions and lead to “differential processing” — for example, thinking the person you dislike is moving more slowly than they actually are.

“We address the basic question of whether social factors influence our perception of simple actions,” said Lisa Aziz-Zadeh, assistant professor with the Brain and Creativity Institute and the Division of Occupational Science. “These results indicate that an abstract sense of group membership, and not only differences in physical appearance, can affect basic sensory-motor processing.”

Filed under brain brain activity motor actions mirroring effect perception neuroscience psychology science

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Morphine and cocaine affect reward sensation differently
A new study by scientists in the US has found that the opiate morphine and the stimulant cocaine act on the reward centers in the brain in different ways, contradicting previous theories that these types of drugs acted in the same way.
Morphine and cocaine both affect the flow of the neurotransmitter dopamine, which has been shown to be important in the feeling of reward. When a dopamine neuron is stimulated it releases dopamine, which is then taken up by neighboring cells. Any excess is reabsorbed into the original dopamine neuron by a process known as “reuptake.”
Cocaine is known to block reuptake, and the excess dopamine leads to an enhanced reward effect. Cocaine is also known to make the cells in the nucleus accumbens, which receives signals from the VTA, more sensitive to cocaine. It was already known a protein called brain-derived neurotrophic factor (BDNF) in the VTA region of the brain enhances the reward response to cocaine.
The new study shows that BDNF has the opposite effect when morphine is present, decreasing the reward response and the development of addiction rather than enhancing it. The researchers identified numerous genes regulated by BDNF and associated with its effects. They used genetic techniques to suppress BDNF, and then directly excited the neurons in the nucleus accumbens that normally receives transmitted impulses from the VTA.
They found that suppressing BDNF in the VTA allowed morphine to increase the excitability of dopamine neurons and hence enhance the reward. When they optically excited the dopamine terminals in the nucleus accumbens that normally receive the transmissions from the VTA, they also found a reversal in the normal effect of BDNF.

Morphine and cocaine affect reward sensation differently

A new study by scientists in the US has found that the opiate morphine and the stimulant cocaine act on the reward centers in the brain in different ways, contradicting previous theories that these types of drugs acted in the same way.

Morphine and cocaine both affect the flow of the neurotransmitter dopamine, which has been shown to be important in the feeling of reward. When a dopamine neuron is stimulated it releases dopamine, which is then taken up by neighboring cells. Any excess is reabsorbed into the original dopamine neuron by a process known as “reuptake.”

Cocaine is known to block reuptake, and the excess dopamine leads to an enhanced reward effect. Cocaine is also known to make the cells in the nucleus accumbens, which receives signals from the VTA, more sensitive to cocaine. It was already known a protein called brain-derived neurotrophic factor (BDNF) in the VTA region of the brain enhances the reward response to cocaine.

The new study shows that BDNF has the opposite effect when morphine is present, decreasing the reward response and the development of addiction rather than enhancing it. The researchers identified numerous genes regulated by BDNF and associated with its effects. They used genetic techniques to suppress BDNF, and then directly excited the neurons in the nucleus accumbens that normally receives transmitted impulses from the VTA.

They found that suppressing BDNF in the VTA allowed morphine to increase the excitability of dopamine neurons and hence enhance the reward. When they optically excited the dopamine terminals in the nucleus accumbens that normally receive the transmissions from the VTA, they also found a reversal in the normal effect of BDNF.

Filed under BDNF brain cocaine dopamine morphine neuron neuroscience psychology reward addiction science

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Breakthrough study identifies trauma switch

Research identifies the mechanism that protects our brains from turning stress and trauma into post-traumatic stress disorder

Researchers from the University of Exeter Medical School have for the first time identified the mechanism that protects us from developing uncontrollable fear.

Our brains have the extraordinary capacity to adapt to changing environments – experts call this ‘plasticity’. Plasticity protects us from developing mental disorders as the result of stress and trauma.

Researchers found that stressful events re-programme certain receptors in the emotional centre of the brain (the amygdala), which the receptors then determine how the brain reacts to the next traumatic event.

These receptors (called protease-activated receptor 1 or PAR1) act in the same way as a command centre, telling neurons whether they should stop or accelerate their activity.

Before a traumatic event, PAR1s usually tell amygdala neurons to remain active and produce vivid emotions. However, after trauma they command these neurons to stop activating and stop producing emotions – so protecting us from developing uncontrollable fear.

This helps us to keep our fear under control, and not to develop exaggerated responses to mild or irrelevant fear triggers – for example, someone who may have witnessed a road traffic accident who develops a fear of cars or someone who may have had a dog jump up on them as a child and who now panics when they see another dog.

The research team used mice in which the PAR1 receptors were genetically de-activated and found that the animals developed a pathological fear in response to even mild, aversive stimuli.

The study was led by Professor Robert Pawlak of University of Exeter Medical School. He said: “The discovery that the same receptor can either awaken neurons or ‘switch them off’ depending on previous trauma and stress experience, adds an entirely new dimension to our knowledge of how the brain operates and emotions are formed.”

Professor Pawlak added: “We are now planning to extend our study to investigate if the above mechanisms, or genetic defects of the PAR1 receptor, are responsible for the development of anxiety disorders and depression in human patients. There is more work to be done, but the potential for the development of future therapies based on our findings is both exciting and intriguing.”

The article describing the above findings has recently been published in one of the most prestigious psychiatry journals, Molecular Psychiatry.

(Source: eurekalert.org)

Filed under brain PTSD plasticity stress PAR1s neuron neuroscience psychology science

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 Training computers to understand the human brain 
Understanding how the human brain categorizes information through signs and language is a key part of developing computers that can ‘think’ and ‘see’ in the same way as humans. Hiroyuki Akama at the Graduate School of Decision Science and Technology, Tokyo Institute of Technology, together with co-workers in Yokohama, the USA, Italy and the UK, have completed a study using fMRI datasets to train a computer to predict the semantic category of an image originally viewed by five different people.
The participants were asked to look at pictures of animals and hand tools together with an auditory or written (orthographic) description. They were asked to silently ‘label’ each pictured object with certain properties, whilst undergoing an fMRI brain scan. The resulting scans were analysed using algorithms that identified patterns relating to the two separate semantic groups (animal or tool).
After ‘training’ the algorithms in this way using some of the auditory session data, the computer correctly identified the remaining scans 80-90% of the time. Similar results were obtained with the orthographic session data. A cross-modal approach, namely training the computer using auditory data but testing it using orthographic, reduced performance to 65-75%. Continued research in this area could lead to systems that allow people to speak through a computer simply by thinking about what they want to say.

Training computers to understand the human brain

Understanding how the human brain categorizes information through signs and language is a key part of developing computers that can ‘think’ and ‘see’ in the same way as humans. Hiroyuki Akama at the Graduate School of Decision Science and Technology, Tokyo Institute of Technology, together with co-workers in Yokohama, the USA, Italy and the UK, have completed a study using fMRI datasets to train a computer to predict the semantic category of an image originally viewed by five different people.

The participants were asked to look at pictures of animals and hand tools together with an auditory or written (orthographic) description. They were asked to silently ‘label’ each pictured object with certain properties, whilst undergoing an fMRI brain scan. The resulting scans were analysed using algorithms that identified patterns relating to the two separate semantic groups (animal or tool).

After ‘training’ the algorithms in this way using some of the auditory session data, the computer correctly identified the remaining scans 80-90% of the time. Similar results were obtained with the orthographic session data. A cross-modal approach, namely training the computer using auditory data but testing it using orthographic, reduced performance to 65-75%. Continued research in this area could lead to systems that allow people to speak through a computer simply by thinking about what they want to say.

Filed under brain fMRI semantics technology multi-voxel pattern analysis neuroscience psychology science

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