Neuroscience

Articles and news from the latest research reports.

Posts tagged brain

63 notes

Surgeons at UC Davis Medical Center have successfully implanted a new telescope implant in the eye of a patient with end-stage age-related macular degeneration (AMD), the most advanced form of the disease and a leading cause of blindness in older Americans.
The device, approved by the Food and Drug Administration in 2010, is the only medical/surgical option available that restores a portion of vision lost to the disease. UC Davis Health System’s Eye Center, in collaboration with the Society for the Blind, is one of the few in California and the nation to offer the innovative procedure.

Surgeons at UC Davis Medical Center have successfully implanted a new telescope implant in the eye of a patient with end-stage age-related macular degeneration (AMD), the most advanced form of the disease and a leading cause of blindness in older Americans.

The device, approved by the Food and Drug Administration in 2010, is the only medical/surgical option available that restores a portion of vision lost to the disease. UC Davis Health System’s Eye Center, in collaboration with the Society for the Blind, is one of the few in California and the nation to offer the innovative procedure.

Filed under brain vision macular degeneration retina vision loss blindness ageing neuroscience science

36 notes

A team of neuroscientists and chemists from the U.S. and China September 24 publish research suggesting that a class of currently used anti-cancer drugs as well as several previously untested synthetic compounds show effectiveness in reversing memory loss in two animal models of Alzheimer’s disease.
CSHL Professor Yi Zhong, Ph.D., who led the research conducted in fruit flies and mice, says he and his colleagues were surprised with their results, which, he stressed, used two independent experimental approaches “the results of which clearly converged.”
Specifically, the research converged on what Zhong’s team suggests is a “preferred target” for treating memory loss associated with the amyloid-beta (Aβ) plaques seen in advanced Alzheimer’s patients. That target is the epidermal growth factor receptor, often called by its acronym, EGFR.
Overexpression of the EGFR is a characteristic feature of certain cancers, notably a subset of lung cancers.  Two targeted treatments, erlotinib (Tarceva) and gefitinib (Iressa), can dramatically, albeit transiently, reverse EGFR-positive cancers, by blocking the EGF receptor and thus preventing its activation.
The newly published research by Zhong’s team suggests that the signaling within cells that is induced by EGFR activation also plays a role in the pathology – still poorly understood – involved in Aβ-associated memory loss seen in Alzheimer’s patients.

A team of neuroscientists and chemists from the U.S. and China September 24 publish research suggesting that a class of currently used anti-cancer drugs as well as several previously untested synthetic compounds show effectiveness in reversing memory loss in two animal models of Alzheimer’s disease.

CSHL Professor Yi Zhong, Ph.D., who led the research conducted in fruit flies and mice, says he and his colleagues were surprised with their results, which, he stressed, used two independent experimental approaches “the results of which clearly converged.”

Specifically, the research converged on what Zhong’s team suggests is a “preferred target” for treating memory loss associated with the amyloid-beta (Aβ) plaques seen in advanced Alzheimer’s patients. That target is the epidermal growth factor receptor, often called by its acronym, EGFR.

Overexpression of the EGFR is a characteristic feature of certain cancers, notably a subset of lung cancers.  Two targeted treatments, erlotinib (Tarceva) and gefitinib (Iressa), can dramatically, albeit transiently, reverse EGFR-positive cancers, by blocking the EGF receptor and thus preventing its activation.

The newly published research by Zhong’s team suggests that the signaling within cells that is induced by EGFR activation also plays a role in the pathology – still poorly understood – involved in Aβ-associated memory loss seen in Alzheimer’s patients.

Filed under brain alzheimer alzheimer disease memory amyloid-beta EGFR neuroscience science

10 notes

With an incredible diversity of cell types, the central nervous system (CNS), comprising the brain, spinal cord and retina, can be considered to be the most complex organ in the body.

Professor Bill Harris, an experimental biologist and Head of the Department of Physiology, Development and Neuroscience, is fascinated by how this complex and sophisticated system is built out of a collection of undifferentiated cells.

By putting an advanced technology to novel use, he has been able to observe for the first time the entire process of retinal development at the cellular level in zebrafish embryos. This has achieved a long-sought goal in developmental neurobiology: a complete analysis of the building of a vertebrate CNS structure in vivo.

Read more

Filed under brain neuroscience retina retinal development visual system zebrafish CNS science

33 notes

White matter, old dogs, and new tricks at Dartmouth

Most people equate “gray matter” with the brain and its higher functions, such as sensation and perception, but this is only one part of the anatomical puzzle inside our heads. Another cerebral component is the white matter, which makes up about half the brain by volume and serves as the communications network.

The gray matter, with its densely packed nerve cell bodies, does the thinking, the computing, the decision-making. But projecting from these cell bodies are the axons—the network cables. They constitute the white matter. Its color derives from myelin—a fat that wraps around the axons, acting like insulation.

Alex Schelgel, first author on a paper in the August 2012 Journal of Cognitive Neuroscience, has been using the white matter as a landscape on which to study brain function. An important result of the research is showing that you can indeed “teach old dogs new tricks.” The brain you have as an adult is not necessarily the brain you are always going to have. It can still change, even for the better.

"This work is contributing to a new understanding that the brain stays this plastic organ throughout your life, capable of change," Schlegel says. "Knowing what actually happens in the organization of the brain when you are learning has implications for the development of new models of learning as well as potential interventions in cases of stroke and brain damage."

Schlegel is a graduate student working under Peter Tse, an associate professor of psychological and brain sciences and a coauthor on the paper. “This study was Peter’s idea,” Schlegel says. “He wanted to know if we could see white matter change as a result of a long-term learning process. Chinese seemed to him like the most intensive learning experience he could think of.”

Twenty-seven Dartmouth students were enrolled in a nine-month Chinese language course between 2007 and 2009, enabling Schlegel to study their white matter in action. While many neuroscientists use magnetic resonance imaging (MRI) in brain studies, Schlegel turned to a new MRI technology, called diffusion tensor imaging (DTI). He used DTI to measure the diffusion of water in axons, tracking the communication pathways in the brain. Restrictions in this diffusion can indicate that more myelin has wrapped around an axon.

"An increase in myelination tells us that axons are being used more, transmitting messages between processing areas," Schlegel says. "It means there is an active process under way."

Their data suggest that white matter myelination is precisely what was seen among the language students. There is a structural change that goes along with this learning process. While some studies have shown that changes in white matter occurred with learning, these observations were made in simple skill learning and strictly on a “before and after” basis.

"This was the first study looking at a really complex, long-term learning process over time, actually looking at changes in individuals as they learn a task," says Schlegel. "You have a much stronger causal argument when you can do that."

The work demonstrates that significant changes are occurring in adults who are learning. The structure of their brains undergoes change.

"This flies in the face of all these traditional views that all structural development happens in infancy, early in childhood," Schlegel says. "Now that we actually do have tools to watch a brain change, we are discovering that in many cases the brain can be just as malleable as an adult as it is when you are a child or an adolescent."

(Source: eurekalert.org)

Filed under brain learning plasticity white matter neuroscience psychology science

112 notes

Using precisely-targeted lasers, researchers manipulate neurons in worms’ brains and take control of their behavior
In the quest to understand how the brain turns sensory input into behavior, Harvard scientists have crossed a major threshold. Using precisely-targeted lasers, researchers have been able to take over an animal’s brain, instruct it to turn in any direction they choose, and even to implant false sensory information, fooling the animal into thinking food was nearby.
As described in a September 23 paper published in Nature, a team made up of Sharad Ramanathan, an Assistant Professor of Molecular and Cellular Biology, and of Applied Physics, Askin Kocabas, a Post-Doctoral Fellow in Molecular and Cellular Biology, Ching-Han Shen, a Research Assistant in Molecular and Cellular Biology, and Zengcai V. Guo, from the Howard Hughes Medical Institute were able to take control of Caenorhabditis elegans – tiny, transparent worms – by manipulating neurons in the worms’ “brain.”
(Image credit: Ian D. Chin-Sang)

Using precisely-targeted lasers, researchers manipulate neurons in worms’ brains and take control of their behavior

In the quest to understand how the brain turns sensory input into behavior, Harvard scientists have crossed a major threshold. Using precisely-targeted lasers, researchers have been able to take over an animal’s brain, instruct it to turn in any direction they choose, and even to implant false sensory information, fooling the animal into thinking food was nearby.

As described in a September 23 paper published in Nature, a team made up of Sharad Ramanathan, an Assistant Professor of Molecular and Cellular Biology, and of Applied Physics, Askin Kocabas, a Post-Doctoral Fellow in Molecular and Cellular Biology, Ching-Han Shen, a Research Assistant in Molecular and Cellular Biology, and Zengcai V. Guo, from the Howard Hughes Medical Institute were able to take control of Caenorhabditis elegans – tiny, transparent worms – by manipulating neurons in the worms’ “brain.”

(Image credit: Ian D. Chin-Sang)

Filed under behavior brain caenorhabditis elegans neuron neuroscience science

16 notes

Tomoko Sakai and colleagues from Kyoto University in Japan subjected a pregnant chimp to a 3D ultrasound to gather images of the fetus between 14 and 34 weeks of development. The volume of its growing brain was then compared to that of an unborn human.

The team found that brain size increases in both chimps and humans until about 22 weeks, but after then only the growth of human brains continues to accelerate. This suggests that as the brain of modern humans rapidly evolved, differences between the two species emerged before birth as well as afterwards.

The researchers now plan to examine how different parts of the brain develop in the womb, particularly the forebrain, which is responsible for decision-making, self-awareness and creativity.

(Source: newscientist.com)

Filed under brain primates ultrasound animals brain development neuroscience science

57 notes

The BCMI-MIdAS (Brain-Computer Music Interface for Monitoring and Inducing Affective States) project
The central purpose of the project is to develop technology for building innovative intelligent systems that can monitor our affective state, and induce specific affective states through music, automatically and adaptively. This is a highly interdisciplinary project, which will address several technical challenges at the interface between science, technology and performing arts/music (incorporating computer-generated music and machine learning).
Research questions
How can music change affective states and what are the specific musical traits (i.e., the parameters of a piece of music) that elicit such states?
How can we control such traits in a piece of music in order to induce specific affective states in a participant? 
How can we effectively detect information about affective states induced by music in the EEG signal, going beyond EEG asymmetry and characterising information contained in synchronisation patterns?
How can we use the EEG to monitor the affective state induced by music on-line (i.e., in “real-time”)?
How can we produce a generative music system capable of generating music embodying musical traits aimed at inducing specific affective states, observable in the EEG of the participant?
 How can we build an intelligent adaptive system for monitoring and inducing affective states through music on-line?

The BCMI-MIdAS (Brain-Computer Music Interface for Monitoring and Inducing Affective States) project

The central purpose of the project is to develop technology for building innovative intelligent systems that can monitor our affective state, and induce specific affective states through music, automatically and adaptively. This is a highly interdisciplinary project, which will address several technical challenges at the interface between science, technology and performing arts/music (incorporating computer-generated music and machine learning).

Research questions

  • How can music change affective states and what are the specific musical traits (i.e., the parameters of a piece of music) that elicit such states?
  • How can we control such traits in a piece of music in order to induce specific affective states in a participant?
  • How can we effectively detect information about affective states induced by music in the EEG signal, going beyond EEG asymmetry and characterising information contained in synchronisation patterns?
  • How can we use the EEG to monitor the affective state induced by music on-line (i.e., in “real-time”)?
  • How can we produce a generative music system capable of generating music embodying musical traits aimed at inducing specific affective states, observable in the EEG of the participant?
  • How can we build an intelligent adaptive system for monitoring and inducing affective states through music on-line?

(Source: cmr.soc.plymouth.ac.uk)

Filed under BCMI EEG brain brain activity mood music technology neuroscience science

43 notes

New Caledonian crows reason about hidden causal agents
We have generally believed that animals are not capable of very complex thought, even though many species use tools and engage in other complex behaviors.
Even a bird brain appears to be capable of understanding things that are not visible may be affecting their environment.
This study looks at whether New Caledonian crows, that were caught just for this experiment, are capable of attributing actions to a hidden cause, when they see that possible cause come and go.
Read more

New Caledonian crows reason about hidden causal agents

We have generally believed that animals are not capable of very complex thought, even though many species use tools and engage in other complex behaviors.

Even a bird brain appears to be capable of understanding things that are not visible may be affecting their environment.

This study looks at whether New Caledonian crows, that were caught just for this experiment, are capable of attributing actions to a hidden cause, when they see that possible cause come and go.

Read more

Filed under causal cognition intelligence brain evolution crows

39 notes

Sleep Oscillations in the Thalamocortical System Induce Long-Term Neuronal Plasticity
Long-term plasticity contributes to memory formation and sleep plays a critical role in memory consolidation. However, it is unclear whether sleep slow oscillation by itself induces long-term plasticity that contributes to memory retention. Using in vivo prethalamic electrical stimulation at 1 Hz, which itself does not induce immediate potentiation of evoked responses, we investigated how the cortical evoked response was modulated by different states of vigilance. We found that somatosensory evoked potentials during wake were enhanced after a slow-wave sleep episode (with or without stimulation during sleep) as compared to a previous wake episode. In vitro, we determined that this enhancement has a postsynaptic mechanism that is calcium dependent, requires hyperpolarization periods (slow waves), and requires a coactivation of both AMPA and NMDA receptors. Our results suggest that long-term potentiation occurs during slow-wave sleep, supporting its contribution to memory.

Sleep Oscillations in the Thalamocortical System Induce Long-Term Neuronal Plasticity

Long-term plasticity contributes to memory formation and sleep plays a critical role in memory consolidation. However, it is unclear whether sleep slow oscillation by itself induces long-term plasticity that contributes to memory retention. Using in vivo prethalamic electrical stimulation at 1 Hz, which itself does not induce immediate potentiation of evoked responses, we investigated how the cortical evoked response was modulated by different states of vigilance. We found that somatosensory evoked potentials during wake were enhanced after a slow-wave sleep episode (with or without stimulation during sleep) as compared to a previous wake episode. In vitro, we determined that this enhancement has a postsynaptic mechanism that is calcium dependent, requires hyperpolarization periods (slow waves), and requires a coactivation of both AMPA and NMDA receptors. Our results suggest that long-term potentiation occurs during slow-wave sleep, supporting its contribution to memory.

Filed under brain plasticity memory sleep SWS neuron neuroscience psychology science

free counters