444 articles in this topic
Researchers built a machine learning imaging pipeline to detect cerebral microhemorrhages and tested SS-31 (elamipretide) in aged hypertensive mice.
Sleep-wake patterns measured by wearables significantly predict dementia risk in 57,000+ older adults, matching the predictive power of genetic testing.
A professional oboist discovered that playing her instrument or singing completely suppressed her debilitating blepharospasm symptoms.
Researchers test a quantile-aggregation approach that may improve how Alzheimer's clinical trials detect treatment effects.
A spatial proteomics platform profiled 700,000+ brain cells, identifying a microglial subset that clusters around amyloid-Ξ² plaques in Alzheimer's disease.
A new deep learning model from UCSF predicts Alzheimer's diagnosis and cognitive trajectories from one MRI scanβno expensive multimodal imaging required.
A surprising structural feature on axon initial segments lets excitatory synapses jump-start neuron firing and redirect brain circuit information flow.
27-Hydroxycholesterol triggers microglial senescence through iron dysregulation, and the iron chelator deferoxamine reverses the damage.
Transdermal alcohol monitors paired with machine learning can now detect drinking events with over 90% accuracy β a leap beyond flawed self-reports.
People with mild cognitive impairment recruit extra brain regions and show altered muscle control just to stay balanced while thinking.
Researchers matched fMRI patterns across mouse models and 1,976 humans to find autism splits into hypo- and hyperconnectivity subtypes with distinct biology.
New fMRI research from UNC Chapel Hill uncovers distinct neurological subtypes within ASD, potentially reshaping diagnosis and treatment.
