International study shows what drives physician use of wearable data and what gets in the way. Find out how physician enthusiasm varies by specialty. A 2026 survey of more than 2,200 physicians in the ...

Summary: Researchers have identified the causal circuits of OCD for the first time. Rather than relying on traditional ...

Summary: A new randomized clinical trial suggests that using personalized brain imaging to guide transcranial magnetic stimulation (TMS) may significantly improve outcomes for people with ...

Abstract: The main objective of this paper is to determine whether resting-state fMRI can identify functional connectivity differences between individuals with autism who experience severe issues with ...

TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data. tedana originally came about as a part of the ME-ICA pipeline, although ...

WashU Medicine pediatric neurologist Benjamin Kay, MD, PhD, treats children with ADHD. A new study by Kay and colleagues found that stimulant medications commonly prescribed for the condition might ...

This valuable study tests whether prediction error or prediction uncertainty controls how the brain segments continuous experience into events. The paper uses validated models that predict human ...

Researchers have developed a new method for predicting dementia with over 80% accuracy and up to nine years before a diagnosis. The new method provides a more accurate way to predict dementia than ...

Small animal fMRI is an essential part of translational research in the cognitive neurosciences. Due to small dimensions and animal physiology preclinical fMRI is prone to artifacts that may lead to ...

Levels of alertness are closely linked with human behavior and cognition. However, while functional magnetic resonance imaging (fMRI) allows for investigating whole-brain dynamics during behavior and ...