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Two Neurological Diseases Are "Genetic Doppelgängers"
Researchers have gained insight into the pathological mechanisms behind two devastating neurodegenerative diseases that are considered "genetic doppelgängers".
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Our Brains Replay Our Waking Experiences Whilst Asleep
Researchers have reported the first direct evidence that human brains replay waking experiences while asleep.
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Cognition and Gait Speed Decline Together
Cognition and gait speed often parallel each other in determining a person’s health trajectory, according to new research.
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Gene Variants That Protect Against Glaucoma Discovered
An international research collaboration led by researchers from the University of Helsinki and Stanford University has identified rare changes in a gene called ANGPTL7 that lower intraocular pressure and significantly reduce the risk of glaucoma.
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Genetic Study Links Higher Alcohol Consumption to Increased Stroke and PAD Risk
Using genetic analysis, researchers have found that higher alcohol consumption can increase risks for stroke and peripheral artery disease.
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New Test Detects Glaucoma Progression Earlier
A new test can detect glaucoma progression 18 months earlier than the current gold standard method, according to results from a UCL-sponsored clinical trial.
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Why Does a Disease of the Cerebellum Cause Mental Health Disorders? An Explanation May Lie in the Hippocampus
A recent study suggests that spinocerebellar ataxia 1 (SCA1), a neurodegenerative disorder of the cerebellum, could affect the functioning of the hippocampus, possibly explaining the mysteriously high occurrence of mental health issues in this devastating disease.
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Can We Change the Circadian Clock at a Molecular Level To Relieve Sleep Disorders?
Understanding the molecular mechanisms of our internal clocks may enable the development of therapies for sleep disorders and other effects of clock disruption.
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Brain Glitches in Sign Language Echo Those in Speech
Researchers have discovered a neural mechanism common to both speech and sign errors.
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Algorithm Outperforms Neurologists in Diagnosing Alzheimer's Disease
Researchers have developed a computer algorithm based on Artificial Intelligence (AI) that can accurately predict the risk for and diagnose Alzheimer's disease using a combination of brain magnetic resonance imaging (MRI), testing to measure cognitive impairment, along with data on age and gender.
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