Hesheng Liu

Charting sex divergence in the human brain across the lifespan

This paper constructs sex-specific lifespan brain charts using neuroimaging data from 59,915 individuals, revealing dynamic sex differences in brain development and improving detection of neuropsychiatric abnormalities.

Large-scale genome- and phenome-wide analyses reveal the genetic architecture, pathophysiology and comorbidity of restless legs syndrome

This study identifies 15 novel RLS-associated loci and links them to neurodevelopmental programs, while revealing over 100 comorbidities and brain structural associations through genome- and phenome-wide analyses.

Robust lesion network mapping reveals symptom-specific circuits

This paper introduces robust lesion network mapping (rLNM) to address statistical validity concerns in lesion network mapping, showing it recovers distinct symptom-specific networks and predicts postoperative language decline.

Parallel processing chains span cytoarchitectures to organize association cortex

The paper identifies parallel processing chains in association cortex using multiple functional mapping modalities, showing they are experience-driven and organized across different cytoarchitectures.

Gliomas preferentially develop within the action-mode network

This study identifies a functionally connected glioma network overlapping with the action-mode network and shows its prognostic significance and association with acetylcholine transporter expression.

Function of the auditory cortex characterized by its intrinsic dynamic coactivation patterns estimated in individuals

The paper characterizes the auditory cortex's function through dynamic coactivation patterns identified in fMRI data, showing consistency between resting-state and task conditions.

Longer scans boost prediction and cut costs in brain-wide association studies

The paper shows longer scans improve prediction accuracy in brain-wide association studies while reducing costs, with 30-minute scans being the most cost-effective.

DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning

DeepPrep accelerates neuroimaging preprocessing by 11-fold using deep learning, outperforming current state-of-the-art methods in scalability and robustness.

Individual connectivity-based parcellations reflect functional properties of human auditory cortex

The paper maps individual auditory cortex subareas using functional network analysis and fMRI, showing high intraindividual reproducibility and meaningful interindividual variability.

Individualized functional connectivity markers associated with motor and mood symptoms of Parkinson's disease

The paper identifies individualized functional connectivity markers in Parkinson's disease patients that predict both motor and mood symptoms using functional MRI data.

The somato-cognitive action network links diverse neuromodulatory targets for Parkinson's disease

This study identifies the somato-cognitive action network (SCAN) as a key pathway in Parkinson's disease, showing its dysfunction and link to neuromodulatory treatments.

High-resolution Dynamic Human Brain Neural Activity Recording Using 3T MRI

This paper introduces TRIGGER, a 3T MRI technique for high-resolution neural activity recording in awake humans, showing millisecond temporal resolution and hemispheric response timing.

A temporal hierarchy of object processing in human visual cortex

The paper examines how object representations evolve over time in the human visual cortex using intracranial EEG recordings and representational similarity analysis.

Increased prevalence of a frontoparietal brain state is associated with better motor recovery in individuals with pontine stroke affecting dominant-hand corticospinal tract

The paper examines brain activity patterns in stroke patients, finding that increased time in a frontoparietal brain state correlates with better motor recovery in those with dominant-hand corticospinal tract damage.

Anatomical and functional connectivity support the existence of a salience network node within the caudal ventrolateral prefrontal cortex

The paper identifies a salience network node within the caudal ventrolateral prefrontal cortex using anatomical and functional connectivity analyses in non-human primates and humans.

Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment

This study disentangles the genetic and environmental influences on functional connectivity strength and topography in the human cortex, revealing distinct roles for genes and environment.

Functional connectome reorganization relates to post-stroke motor recovery and structural disconnection

This study uses graph matching to analyze functional connectivity reorganization in stroke patients, showing it correlates with motor recovery and structural disconnection.

Individual variability in functional organization of the human and monkey auditory cortex

This study examines individual variability in the functional organization of human and monkey auditory cortex using intrinsic connectivity and task-based fMRI, finding greater variability in non-primary regions, compared to visual areas, and left hemisphere lateralization.

Reconstructing lost BOLD signal in individual participants using deep machine learning

This paper uses deep machine learning to reconstruct lost BOLD signals in individual participants, showing good correlation with original signals and functional connectivity maps.

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and Emotion

This study introduces a hierarchical Bayesian model to estimate individual-specific cortical networks and shows that their topography can predict human behavior with moderate accuracy.