In vivo quantitative magnetic resonance imaging at ultra-high magnetic field reveals systematic differences of relaxation parameters (R₁) within the human secondary visual cortex at the level of the thin-thick-pale stripes system, which points toward higher cortical myelination of pale stripes.

Electrical stimulation at the lateral habenula causes an instantaneous remission of depressive symptoms in two rat models, with more medial stimulation sites exhibiting greater antidepressant effects than more lateral stimulation sites, as revealed by functional MRI studies.

The primate caudal area 47/12 is anatomically and functionally connected with the main nodes of the salience network, supporting the role of the ventrolateral prefrontal cortex in all major attention networks.

Resting-state functional connectivity between core regions of fronto-temporal auditory networks can distinguish music transmitters from innovators.

The human substantia nigra can be parcellated into three subdivisions that subserve emotional, cognitive and somatomotor function.

Atypical intrinsic neural timescales in the sensory cortex and caudate were associated with local grey matter volume, and linked with the severity of autism.

MRI methods are promising techniques for investigating the human subcortical auditory system, and these publicly available data, atlases, and tools make researching human audition simpler and more reliable.

Functional imaging (fMRI) across four mammalian species maps the brain areas engaging in burst-suppression activity during anesthesia, and uncovers differences between primates and rodents.

A complementary relationship exists between the hemispheric lateralization of inhibitory control (typically right) and speech (typically left), as observed in typically and atypically lateralized left-handed individuals.

Machine learning-based models of brain age using distinct MRI modalities (structural MRI and functional connectivity) capture complementary signals related to healthy age differences and capture unique patterns related to Alzheimer disease, including stages of disease progression, biomarkers, and cognition.