Researchers have identified the characteristics of over 100 memory-sensitive neurons that play a key role in how memories are recalled in the brain.
Combining neuroimaging and artificial intelligence, researchers identified novel brain signatures unique to the response of each antidepressant.
Researchers have identified significant differences in gene activity between the anterior and posterior areas of the hippocampus. Genes associated with depression and other mood disorders are more active in the anterior hippocampus, while genes linked to cognitive disorders, such as ASD, are more active in the posterior hippocampus.
Study identified 300 "hub genes" that appear to control separate gene networks in brain tissue samples. The SAMD3 gene appears to be a master regulator to control the activity of many of the gene hubs and the genes the hubs control.
Artificial IntelligenceAutismDeep LearningFeaturedMachine LearningNeuroscienceOpen Neuroscience Articles··4 min read
Using machine learning to analyze blood samples, researchers have identified a group of new biomarkers that could lead to early diagnosis of autism.
Study reports a link between levels of GlycA, an inflammatory molecule in the blood, and an increased risk of depression symptoms. Researchers also outline specific symptoms associated with menopause and an increased likelihood of developing depression.
Decreasing the amount of Reelin significantly protected against disease symptoms and promoted recovery in symptomatic animal models of multiple sclerosis. Reelin levels appear to correlate with MS severity and stages. Researchers report lowering levels of the protein could be a potential avenue of treatment for the autoimmune disorder.
Following a one year program of aerobic exercise improves memory function and boosts blood flow to brain areas critical for cognition in older adults with risk factors for dementia.
A neurotoxin found in snake venom allowed researchers to uncover a detailed shape of nicotinic receptors involved in muscle contractions.
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Artificial intelligence technology was able to identify specific brain regions which were most important for predicting whether a person with depression would respond to SSRI antidepressants.
For those with mild cognitive impairment (MCI) and other risk factors for Alzheimer's disease, participating in aerobic exercise several times a week may slow neurodegeneration. Aerobic exercise reduced hippocampal atrophy in those with MCI.
Researchers report EEG technology can help to predict the onset of epileptic seizures up to four minutes in advance. Additionally, acetate, an edible acid, may help to prevent seizures if they are detected with enough notice.