Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

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

Following a first version AAL of the automated anatomical labeling atlas (Tzourio-Mazoyer et
al., 2002), a second version (AAL2)(Rolls et al., 2015) was developed that provided an …

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

Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology
remains unclear. Most studies of functional brain networks in MDD have had limited …

The promise of machine learning has fueled the hope for develo** diagnostic tools for
psychiatry. Initial studies showed high accuracy for the identification of major depressive …

Brain imaging efforts are being increasingly devoted to decode the functioning of the human
brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding …

The inquisitiveness about what happens in the brain has been there since the beginning of
humankind. Functional magnetic resonance imaging is a prominent tool which helps in the …

Multifactorial mechanisms underlying late-onset Alzheimer's disease (LOAD) are poorly
characterized from an integrative perspective. Here spatiotemporal alterations in brain …

Resting-state fMRI was first described by Biswal et al in 1995 and has since then been
widely used in both healthy subjects and patients with various neurologic, neurosurgical …