Jianxun Ren

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.

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.