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Epigenetic mechanism contributing to lifelong stress susceptibility discovered


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IMAGE: Eric J. Nestler, Dean for Academic and Scientific Affairs and Director of the Friedman Brain Institute at the Icahn School of Medicine at Mount Sinai and senior author of the.
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Credit: Mount Sinai Health System
An epigenetic modification that occurs in a major cell type in the brain s reward circuitry controls how stress early in life increases susceptibility to additional stress in adulthood, researchers at the Icahn School of Medicine at Mount Sinai have learned. In a study in
Nature Neuroscience, the team also reported that a small-molecule inhibitor of the enzyme responsible for this modification, currently being developed as an anti-cancer drug, was able to reverse increased vulnerability to lifelong stress in animal models. ....

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Fingerprints enhance our sense of touch

Fingerprints may be more useful to us than helping us nab criminal suspects: they also improve our sense of touch. Sensory neurons in the finger can detect touch on the scale of a single fingerprint ridge, according to new research published in JNeurosci. ....

Society For Neuroscience , Single Fingerprint , Medicine Health , சமூகம் க்கு நரம்பியல் , ஒற்றை கைரேகை , மருந்து ஆரோக்கியம் ,

Researchers discover how the brain learns from subconscious stimuli

Researchers uncovered for the first time what happens in animals brains when they learn from subconscious, visual stimuli. In time, this knowledge can lead to new treatments for a number of conditions. The study, a collaboration between KU Leuven, Massachusetts General Hospital, and Harvard was published in ....

United States , Wim Vanduffel , Massachusetts General Hospital , Professor Wim Vanduffel , Medicine Health , Parkinsons Disease , ஒன்றுபட்டது மாநிலங்களில் , மாசசூசெட்ஸ் ஜநரல் மருத்துவமனை , மருந்து ஆரோக்கியம் , பார்கின்சன்ஸ் நோய் ,

Criteria published for diagnosing the clinical syndrome of CTE during life


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(Boston) Newly published National Institute of Neurological Disorders and Stroke (NINDS) Consensus Diagnostic Criteria for Traumatic Encephalopathy Syndrome (TES) are the first expert consensus criteria developed for the clinical disorder associated with Chronic Traumatic Encephalopathy (CTE) brain pathology. CTE is a degenerative brain disease associated with a history of repetitive head impacts, including those sustained in contact and collision sports such as American football and boxing. At this time, CTE can only be diagnosed after death through a neuropathological examination of brain tissue. There has been no accepted approach or agreed upon criteria for the diagnosis of CTE and its clinical manifestations during life until now. ....

United States , Boston University , Walter Koroshetz , Douglas Katz , National Institutes Of Health , American Academy Of Neurology , Boston University School Of Medicine , National Institute Of Neurological Disorders , National Institute , Neurological Disorders , Consensus Diagnostic Criteria , Traumatic Encephalopathy Syndrome , Chronic Traumatic Encephalopathy , National Institutes , Diagnostic Criteria , Boston University School , Robert Stern , American Academy , Medicine Health , ஒன்றுபட்டது மாநிலங்களில் , போஸ்டன் பல்கலைக்கழகம் , டக்ளஸ் க்யாட்ஸ் , தேசிய நிறுவனங்கள் ஆஃப் ஆரோக்கியம் , அமெரிக்கன் கலைக்கழகம் ஆஃப் நரம்பியல் , போஸ்டன் பல்கலைக்கழகம் பள்ளி ஆஃப் மருந்து , தேசிய நிறுவனம் ஆஃப் நரம்பியல் கோளாறுகள் ,

Researchers enhance Alzheimer's disease classification through artificial intelligence


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(Boston) Warning signs for Alzheimer s disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease s destruction of the brain.
Improving the diagnostic accuracy of Alzheimer s disease is an important clinical goal. If we are able to increase the diagnostic accuracy of the models in ways that can leverage existing data such as MRI scans, then that can be hugely beneficial, explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at Boston University School of Medicine (BUSM).
Using an advanced AI (artificial intelligence) framework based on game theory (known as generative adversarial network or GAN), Kolachalama and his team processed brain images (some low and high quality) to generate a model that was able to classify Alzheimer s disease with improved accuracy. ....

United States , Boston University , Vijayab Kolachalama , Karen Toffler Charitable , American Heart Association , Boston University School Of Medicine , Hariri Institute For Computing , Translational Sciences , Hariri Research Award , Computational Science Engineering At Boston University , Scientist Development Grant , Boston University Alzheimer Disease Center , Center Grant , Blood Institute , Alzheimer Research Therapy , National Center , National Institutes Of Health , Framingham Heart Study National , Research Network , Boston University Affinity Research Collaboratives , Boston University School , Karen Toffler Charitable Trust , Advancing Translational Sciences , National Institutes , Strategically Focused Research Network , Hariri Institute ,