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Thomas T. Liu

Researcher at University of California, San Diego

Publications -  152
Citations -  13252

Thomas T. Liu is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Cerebral blood flow & Resting state fMRI. The author has an hindex of 51, co-authored 149 publications receiving 11117 citations. Previous affiliations of Thomas T. Liu include University of California, Berkeley & Siemens.

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A component based noise correction method (CompCor) for BOLD and perfusion based fMRI

TL;DR: A component based method for the reduction of noise in both blood oxygenation level-dependent (BOLD) and perfusion-based functional magnetic resonance imaging (fMRI) data is presented and the temporal standard deviation of resting-state perfusion and BOLD data in gray matter regions was significantly reduced.
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Modeling the hemodynamic response to brain activation.

TL;DR: Quantitative modeling of the hemodynamic response, when combined with experimental data measuring both the BOLD and CBF responses, makes possible a more specific and quantitative assessment of brain physiology than is possible with standard BOLD imaging alone.
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The global signal in fMRI: Nuisance or Information?

TL;DR: A closer look at the global signal is taken, examining in detail the various sources that can contribute to the signal, including global signal regression, global signal subtraction, and global signal normalization.
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Detection power, estimation efficiency, and predictability in event-related fMRI.

TL;DR: The relation between detection power, estimation efficiency, and predictability is examined and it is shown that small increases in predictability can offer significant gains in detection power with only a minor decrease in estimation efficiency.