Numerous machine learning (ML) approaches have been proposed for automatic
classification of Alzheimer's disease (AD) from brain imaging data. In particular, over 30 …

Three-dimensional atlases of subcortical brain structures are valuable tools to reference
anatomy in neuroscience and neurology. For instance, they can be used to study the …

Background Brain–computer interfaces can enable communication for people with paralysis
by transforming cortical activity associated with attempted speech into text on a computer …

Imaging technologies are increasingly used to generate high-resolution reference maps of
brain structure and function. Comparing experimentally generated maps to these reference …

Electrophysiological signals exhibit both periodic and aperiodic properties. Periodic
oscillations have been linked to numerous physiological, cognitive, behavioral and disease …

Gene expression fundamentally shapes the structural and functional architecture of the
human brain. Open-access transcriptomic datasets like the Allen Human Brain Atlas provide …

Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap
across etiologies, yet it is crucial for formulating early, personalized management strategies …

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

Deep brain stimulation (DBS) is a highly efficacious treatment option for movement disorders
and a growing number of other indications are investigated in clinical trials. To ensure …

Although every life event is unique, there are considerable commonalities across events.
However, little is known about whether or how the brain flexibly represents information about …