Xiao Liu
Associatet Professor of Biomedical Engineering

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431 Chemical and Biomedical Engineering
University Park, PA - xxl213@psu.edu
- 814-863-4419
Huck Affiliations
- Center for Brain, Behavior, and Cognition
- Neuroscience
- Neuroscience Institute
- Center for Neurotechnology in Mental Health Research
Links
Publication Tags
Brain Magnetic Resonance Imaging Arousal Anesthesia Spectral Resolution Physiology Primates Datasets Electroencephalography Information Services Potential Field Wakefulness Primate Sensory System Rodentia Sleep Frequency Analysis Electrophysiology Potential Fields Shift Isoflurane Hemodynamics Thalamus Deep Learning RegulationMost Recent Publications
Resting-state fMRI and EEG alpha power show distinct correlations at different time lags
Yameng *Gu, Xiao Liu,
Behavior-related resting-state MEG/fMRI connectivity changes are related to the hierarchical organization of the neocortex
Feng *Han, Xiao Liu,
Transient Arousal Modulations Contribute to Resting-State Functional Connectivity Changes Associated with Head Motion Parameters
Yameng *Gu, Feng *Han, Lucas *Sainburg, Xiao Liu, Cerebral Cortex
Electrophysiological and fMRI signals show consistent global propagations across the cortical hierarchy
Yameng *Gu, Xiao Liu,
Single neuron firing cascades underlie global spontaneous brain events
Xiao Liu, David Leopold, Yifan *Yang, PNAS
Physiologic noise co-activation pattern in default mode network
Wanyong Shin, Xiao Liu, Mark Lowe,
Spontaneous global brain events marked by sequenced cascades of spiking neurons
Xiao Liu, David Leopold, Yifan *Yang,
Salience network modulation leads a sequence of brain activity that causes resting-state fMRI correlations with EEG and physiological signals
Yameng *Gu, Feng *Han, Lucas *Sainburg, Xiao Liu,
Salience network leads sequenced brain changes underlying fMRI correlation with EEG and physiology
Yameng *Gu, Feng *Han, Lucas *Sainburg, Xiao Liu,
Consistent global propagations across cortical hierarchy in the electrophysiological and fMRI signals
Yameng *Gu, Xiao Liu,
Most-Cited Papers
Time-varying functional network information extracted from brief instances of spontaneous brain activity
Xiao Liu, Jeff H. Duyn, 2013, Proceedings of the National Academy of Sciences of the United States of America on p. 4392-4397
EEG correlates of time-varying BOLD functional connectivity
Catie Chang, Zhongming Liu, Michael C. Chen, Xiao Liu, Jeff H. Duyn, 2013, NeuroImage on p. 227-236
Tracking brain arousal fluctuations with fMRI
Catie Chang, David A. Leopold, Marieke Louise Schölvinck, Hendrik Mandelkow, Dante Picchioni, Xiao Liu, Frank Q. Ye, Janita N. Turchi, Jeff H. Duyn, 2016, Proceedings of the National Academy of Sciences of the United States of America on p. 4518-4523
Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns
Xiao Liu, Catie Chang, Jeff H. Duyn, 2013, Frontiers in Systems Neuroscience
Subcortical evidence for a contribution of arousal to fMRI studies of brain activity
Xiao Liu, Jacco A. De Zwart, Marieke L. Schölvinck, Catie Chang, Frank Q. Ye, David A. Leopold, Jeff H. Duyn, 2018, Nature Communications
Dynamic resting state functional connectivity in awake and anesthetized rodents
Zhifeng Liang, Xiao Liu, Nanyin Zhang, 2015, NeuroImage on p. 89-99
The change of functional connectivity specificity in rats under various anesthesia levels and its neural origin
Xiao Liu, Xiao Hong Zhu, Yi Zhang, Wei Chen, 2013, Brain Topography on p. 363-377
Co-activation patterns in resting-state fMRI signals
Xiao Liu, Nanyin Zhang, Catie Chang, Jeff H. Duyn, 2018, NeuroImage on p. 485-494
Co-regularized deep multi-network embedding
jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang, 2018, on p. 469-478
Arousal transitions in sleep, wakefulness, and anesthesia are characterized by an orderly sequence of cortical events
Xiao Liu, Toru Yanagawa, David A. Leopold, Catie Chang, Hiroaki Ishida, Naotaka Fujii, Jeff H. Duyn, 2015, NeuroImage on p. 222-231
News Articles Featuring Xiao Liu
Aug 25, 2022
Penn State awarded $1.6M to study if COVID-19 contributes to cognitive decline
As populations around the globe age, dementia — often caused by Alzheimer’s disease and related disorders — is a growing health issue for older adults worldwide.
Full Article
Jun 01, 2021
Coupled brain activity, cerebrospinal fluid flow could indicate Alzheimer's risk
Penn State researchers may have discovered a potential marker to clinically evaluate patients’ risk for Alzheimer’s disease through non-invasive imaging tests, according to a study published in PLOS Biology. The finding may have implications for diagnosis and treatment of the disease that results in significant cognitive decline, the researchers said.
Full Article