Author

Liang Zhan

University of PittsburghORCID 0000-0002-7920-4828Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 5 Assay:imaging· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Approach:graph neural network· 1

Frequent Co-Authors

Alex LeowiD· 4 shared Igor ForteliD· 2 shared Olusola AjiloreiD· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Amy BoosiD· 1 shared Fang LiuiD· 1 shared George Frederick WittenbergiD· 1 shared Gina McKernaniD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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4 shared papersNeuroscience

Alex LeowORCID

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Author profile →

5 papers

Recent·Most cited

Mapping the Causal Roles of Non-Primary Motor Areas in Human Reach Planning and Execution

Golnaz Haddadshargh, Roberto M. de Freitas, Jennifer Mak, Amy Boos, Xiaoqi Fang, Jennifer L. Collinger, Gina McKernan, Liang Zhan, Fang Liu, George Frederick Wittenberg

This study uses TMS and fMRI to investigate how non-primary motor areas affect reaching performance, finding that PMd and PPC perturbations alter movement smoothness and accuracy.

Human Brain Mapping · Feb 1, 2026Peer-reviewedBioengineering

Instantaneous Frequency: A New Functional Biomarker for Dynamic Brain Causal Networks

Haoteng Tang, Siyuan Dai, Lei Guo, Pengfei Gu, Guodong Liu, Alex Leow, Paul M. Thompson, Heng Huang, Liang Zhan, Alzheimer’s Disease Neuroimaging Initiative

This paper introduces instantaneous frequency as a biomarker for dynamic brain networks, showing it can distinguish clinical and demographic groups in neurodegenerative conditions.

AI in neuroscience. · May 20, 2025Peer-reviewedNeuroscience

Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes

Thanos Manos, Sandra Diaz-Pier, Igor Fortel, Ira Frahmand Driscoll, Liang Zhan, Alex Leow

The paper uses a Kuramoto phase oscillator model with hybrid resting-state structural connectomes to simulate functional connectomes that align with observed data.

Frontiers in Computational Neuroscience · Dec 19, 2023Peer-reviewedNeuroscience

Disrupted excitation-inhibition balance in cognitively normal individuals at risk of Alzheimers disease

Igor Fortel, Liang Zhan, Olusola Ajilore, Yichao Wu, R. Scott Mackin, Alex Leow

The paper examines how AD risk factors relate to hippocampal excitation-inhibition balance in cognitively normal individuals, finding sex-specific differences and effects of APOE-ε4.

Journal of Alzheimer s Disease · Sep 12, 2023Peer-reviewedNeuroscience

rest2vec: Vectorizing the resting-state functional connectome using graph embedding

Zachery D. Morrissey, Liang Zhan, Olusola Ajilore, Alex Leow

The paper introduces rest2vec, a graph embedding method for analyzing resting-state functional connectomes, preserving correlative information and improving functional module assignment.

NeuroImage · Nov 11, 2020Peer-reviewedNeuroscience