Brian L. Edlow

FOCUS, a 100 µm atlas of 180 manually segmented subcortical grey and white matter regions and 77 hand-built tracts, registered to MNI 2009b space for warping to individual brains.

This paper introduces a postmortem imaging pipeline for infant brainstem analysis, combining multiple modalities to overcome MRI limitations and enable high-resolution 3D visualization.

This study identifies and characterizes fifteen subnetworks within subcortical brain regions, revealing their functional organization and potential applications in understanding neuropsychiatric disorders.

The paper identifies a hypothalamic-brainstem activity sequence that drives arousal fluctuations and cortical hemodynamics during drowsiness using fMRI.

This paper introduces VesSynth, a vessel segmentation framework trained on synthetic data that achieves state-of-the-art accuracy across multiple imaging modalities and spatial resolutions.

The paper introduces a fast segmentation tool for brain MRI scans using a hybrid method, achieving comparable accuracy to a Bayesian approach but with significantly reduced runtime.

This study identifies subcortical hubs connected to multiple cortical networks using rs-fMRI data, suggesting they are targets for restoring consciousness in disorders of consciousness.

This study identifies brainstem and thalamus lesions as necessary and sufficient for coma in acute ischemic stroke, highlighting lesion location over volume in coma pathogenesis.

The paper introduces STREAM-4D, a tool linking TMS-EEG and diffusion MRI to visualize effective connectivity in the human brain, revealing structural connections related to TMS-evoked activity.

The paper investigates shared subcortical arousal systems across sensory modalities during attention modulation using fMRI data from 1,561 participants.

The paper investigates fast neural coordination across brain regions during autobiographical memory processing using intracranial recordings in humans.

The paper introduces NextBrain, a probabilistic histological atlas of the human brain, and presents a tool for automated MRI segmentation of anatomical regions.

This paper introduces a method to measure 3D fiber orientation in the human brain using two illumination angles in PS-OCT, achieving high angular precision and detailed 3D maps.

The paper maps brainstem connections sustaining wakefulness using ex vivo diffusion MRI, immunohistochemistry, and in vivo 7 Tesla functional MRI.

This study evaluates the feasibility of using cardiorespiratory data to correct noise in rs-fMRI of critically ill TBI patients, finding limited utility due to data quality issues.

This paper develops a continuous resting-state EEG model to predict recovery from disorders of consciousness after acute brain injury, achieving high accuracy across multiple time horizons.

This paper maps subcortical connectivity of the human default mode network using rs-fMRI and a novel tensor decomposition method, identifying key subcortical regions correlated with the DMN.

The paper integrates transcriptional and connectomic data across temporal dimensions to trace the evolution of frontal cortex circuits in humans and non-human primates, finding conserved features across species.

This study uses ex vivo diffusion MRI and histopathology to correlate tract disruptions with axonal injury in a TBI patient.

This study introduces a lesion correction method for cortical volumetric analysis in TBI patients, improving accuracy and enabling inclusion of lesioned brains in network-based analyses.

The paper presents an ultra-high resolution MRI dataset of an ex vivo human brain and provides it in both native and stereotactic spaces for research and educational use.