Thomas Liu, PhD

Affiliations: 
Center for Functional MRI University of California, San Diego, La Jolla, CA 
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Publications

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Hays CC, Zlatar ZZ, Meloy MJ, et al. (2020) Interaction of APOE, cerebral blood flow, and cortical thickness in the entorhinal cortex predicts memory decline. Brain Imaging and Behavior
Falahpour M, Nalci A, Liu TT. (2018) The Effects of Global Signal Regression on Estimates of Resting-State Blood Oxygen-Level-Dependent Functional Magnetic Resonance Imaging and Electroencephalogram Vigilance Correlations. Brain Connectivity. 8: 618-627
Falahpour M, Chang C, Wong CW, et al. (2018) Template-based prediction of vigilance fluctuations in resting-state fMRI. Neuroimage
Dukart J, Holiga Š, Chatham C, et al. (2018) Cerebral blood flow predicts differential neurotransmitter activity. Scientific Reports. 8: 4074
Ge Q, Peng W, Zhang J, et al. (2017) Short-term apparent brain tissue changes are contributed by cerebral blood flow alterations. Plos One. 12: e0182182
Liu TT. (2017) Reprint of 'Noise contributions to the fMRI signal: An Overview'. Neuroimage. 154: 4-14
Nalci A, Rao BD, Liu TT. (2017) Global Signal Regression Acts as a Temporal Downweighting Process in Resting-State fMRI. Neuroimage
Liu TT. (2016) Noise contributions to the fMRI signal: An Overview. Neuroimage
Wong CW, DeYoung PN, Liu TT. (2016) Differences in the resting-state fMRI global signal amplitude between the eyes open and eyes closed states are related to changes in EEG vigilance. Neuroimage. 124: 24-31
Mackey S, Olafsson V, Aupperle RL, et al. (2015) Greater preference consistency during the Willingness-to-Pay task is related to higher resting state connectivity between the ventromedial prefrontal cortex and the ventral striatum. Brain Imaging and Behavior
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