The human brain undergoes a prolonged period of cortical development that spans multiple
decades. During childhood and adolescence, cortical development progresses from lower …

With the aging population, prevalence of neurodegenerative diseases is increasing, thus
placing a growing burden on individuals and the whole society. However, individual rates of …

Los grandes avances acaecidos en el campo de la neurociencia en los comienzos del siglo
XXI están cambiando totalmente nuestra forma de entender cómo aprende el cerebro; por …

How individual differences in brain network organization track behavioral variability is a
fundamental question in systems neuroscience. Recent work suggests that resting-state and …

Recently, deep learning has unlocked unprecedented success in various domains,
especially using images, text, and speech. However, deep learning is only beneficial if the …

As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …

The organization of human brain networks can be measured by capturing correlated brain
activity with fMRI. There is considerable interest in understanding how brain networks vary …

Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …

The goal of the present study was to apply deep learning algorithms to identify autism
spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the …

Aberrant topological organization of whole-brain networks has been inconsistently reported
in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes …