Anticorrelation between the default and dorsal attention networks is a central feature of
human functional brain organization. Hallmarks of aging include impaired default network …

TorchXRayVision is an open source software library for working with chest X-ray datasets and
deep learning models. It provides a common interface and common pre-processing chain …

Objective: Neurodevelopmental disorders (NDDs) (attention deficit hyperactivity disorder [ADHD],
autism spectrum disorder [ASD], and obsessive-compulsive disorder [OCD]) share …

Computational models predicting symptomatic progression at the individual level can be
highly beneficial for early intervention and treatment planning for Alzheimer’s disease (AD). …

The preprocessing pipelines of the Human Connectome Project (HCP) were made publicly
available for the neuroimaging community to apply the HCP analytic approach to data from …

• Decision-support systems or clinical prediction tools based on machine learning (including
the special case of deep learning) are similar to clinical support tools developed using …

… Author links open overlay panel Joseph D. Viviano a , Robert W. Buchanan f , Navona
Calarco a , James M. Gold f , George Foussias b , Nikhil Bhagwat a c e , Laura Stefanik a , Colin …

Background Recent advances in techniques using functional magnetic resonance imaging
data demonstrate individually specific variation in brain architecture in healthy individuals. To …

An influential model of executive control suggests that it comprises three dissociable processes:
working memory, inhibition, and task switching. Multiple studies have investigated how …

Transcranial magnetic stimulation (TMS) modulates activity at local and regions distal to the
site of simulation. TMS has also been found to modulate brain networks, and it has been …