Anterior temporal lobe structures differentiated learned from non-learned crossmodal objects, evidence of integrated crossmodal object representations.

Intrinsic dynamics are shaped by the intersection of molecular, microstructural, connectomic, and activation gradients.

Yeast cells can tune the modality of a nutrient response on physiological and evolutionary timescales by adapting the expression and sequence of a sensor protein.

The structural characteristics of a circuit and its hierarchical dimensions are shown to influence regional time-series dynamics after targeted cellular-level manipulations.

The multimodal linked independent component analysis promotes a more integrative understanding of transdiagnostic mechanisms of psychopathology.

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.

The comprehension of acoustic and visual speech depends on modality-specific pathways in the brain, which explains why auditory speech abilities and lip reading are not associated in typical adults.

Dimensionality reduction techniques reveal how the organization of neurotransmitter receptor and transporter co-expression in the human brain may bridge the gap between brain structure and function.

Glycans are remodeled by HIV and are determinants of CD4+ T cell susceptibility to HIV infection.

Quantitative analysis of behavior coupled with computational modeling reveal the set of circuit-level principles that underlie cerebellar-dependent motor learning in smooth pursuit eye movements of monkeys across timescales.