Zhen-Qi Liu

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.

The paper identifies distinct brain maturation pathways linking environmental variation to cognitive development in adolescents using longitudinal data.

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 study shows that anaesthesia in marmosets alters large-scale brain organisation, similar to findings in humans and macaques, by constraining activity with structural connectivity and collapsing functional gradients.

This paper introduces a generative model of brain maps based on homophily and shows it can accurately reconstruct maps using biological and functional similarity.

The paper identifies neurotransmitter systems linked to specific symptom dimensions in early psychosis using neuroimaging and PET data.

The paper examines how childhood maltreatment affects brain structure in 3,711 individuals with MDD and PTSD, finding age- and sex-specific brain morphometric differences.

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 paper uses AI to analyze neuroscientific literature and discovers conserved cognitive circuits across species.

This paper uses MEG data to create cross-frequency neurophysiological gradients that represent cortical organization, showing alignment with known functional and structural axes and disruptions in Parkinson's disease.

The paper identifies a transdiagnostic functional connectivity pattern in early psychosis linked to cognitive inflexibility and arousal dysregulation across different diagnoses.

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

This study benchmarks 239 pairwise interaction statistics for functional connectivity mapping, finding substantial variation in their topological, neurobiological, and behavioral properties.

The paper examines age-related changes in multimodal connectivity within the default mode network using MRI and MEG data from adults aged 18 to 88.

This study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

This study benchmarks macaque brain gene expression for horizontal and vertical translation by comparing it to human gene expression and protein density.

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 shows that spherical projection in spin tests distorts spatial relationships, leading to inflated false positives, and suggests removing high-distortion spins to improve accuracy.

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

The paper identifies a stable microstructural white matter signature associated with negative and somatic symptoms in early psychosis across two independent cohorts using PLS correlation.

This study identifies glutamate as a co-agonist for acid-sensing ion channels (ASICs) that worsens ischemic brain damage, and presents a small molecule inhibitor that targets this interaction without affecting NMDARs.

The paper quantifies structure-function coupling in brain networks using diffusion MRI, MEG, and fMRI, finding heterogeneity across regions and frequency bands.

The paper evaluates 576 functional connectomics pipelines to identify those that minimize spurious discrepancies and motion confounds while being sensitive to inter-subject and experimental effects.

Neuromaps provides a software package to standardize and compare brain maps across different coordinate systems, enabling comprehensive annotation analysis of the human brain.

This study shows that structure-function coupling in the brain is dynamic and regionally heterogeneous, revealing organized patterns linked to cortical hierarchies and connection lengths.

The paper benchmarks functional brain connectivity by analyzing its relationship to structural and geometric brain organization, finding strong functional connectivity within intrinsic networks and at the apex of the unimodal-transmodal hierarchy.

This study investigates how the cortical hierarchy influences signal transmission in brain networks by analyzing resting state functional MRI and structural networks.