Asa Farahani

This study reconstructs brainstem connectomes using MRI and finds structural and functional connectivity correlations, revealing heterogeneous structure-function coupling across brainstem nuclei.

The paper introduces netneurotools, a Python toolkit developed by trainees to streamline brain imaging workflows by integrating diverse data types and addressing interoperability challenges.

The paper maps brain metastases from breast, lung, and melanoma cancers to vascular anatomy, showing that vascular features predict metastatic patterns.

This study shows that cognitive co-activation dominates fMRI synchrony in the awake brain but is replaced by anatomical and molecular constraints during consciousness perturbations.

This paper shows that local lateral connectivity in deep neural networks can replicate cortex-like topographical organization without explicit learning rules.

This study maps AQP4 expression across the human brain, linking it to vascular physiology, neurodegenerative disease patterns, and edema, revealing its role in glymphatic function and disease vulnerability.

This study identifies two brain-body health axes using multi-omics data from aging populations, linking metabolic features to cognitive deficits.

This study examines how network structure and local biological features influence spatial patterns of cortical atrophy in ALS using the CALSNIC dataset.

The paper identifies four frontal face patches in the human prefrontal cortex involved in social processing of faces using fMRI and functional connectivity analysis.

This study maps cerebral blood perfusion across the human lifespan and links it to brain structure, function, and disease vulnerability using ASL data from 1,305 individuals.

This study maps neuropeptide receptor distribution across the human brain, revealing cortical-subcortical gradients and their functional and evolutionary significance.

This study maps the functional architecture of the cerebral cortex during naturalistic movie-watching using fMRI data from 176 subjects, revealing 24 functional areas/networks and three executive control networks.