Thomas T. Liu

Cognitive Neuroscience · 2004–2017

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 43 citations into it; #2,854 of 10,852 by trust here, #2,134 by citations
• Radiology, Nuclear Medicine and Imaging — 34 citations into it; #688 of 3,265 by trust here, #664 by citations
• Atomic and Molecular Physics, and Optics — 5 citations into it

Whom Thomas T. Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter Fransson
2. Jonathan D. Power
3. Gary H. Glover
4. Xiao Liu
5. Michael D. Fox
6. Xiaoqian J. Chai
7. Kevin Murphy
8. Rasmus M. Birn
9. John Muschelli
10. Bradley L. Schlaggar

Who trusts Thomas T. Liu overall

1. W. D. Penny
2. Susan L. Whitfield-Gabrieli

Papers from Thomas T. Liu's perspective

Ordered by how strongly the researchers Thomas T. Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR (Magnetic Resonance in Medicine)
2. The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
3. Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis (Human Brain Mapping)
4. The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? (NeuroImage)
5. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
6. Anticorrelations in resting state networks without global signal regression (NeuroImage)
7. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
8. Methods to detect, characterize, and remove motion artifact in resting state fMRI (NeuroImage)
9. Non-white noise in fMRI: Does modelling have an impact? (NeuroImage)
10. Neurophysiological investigation of the basis of the fMRI signal (Nature)

Their papers

• The Global Signal in fMRI: Nuisance or Information? (2017) — 404 citations
• A component based noise correction method (CompCor) for BOLD and perfusion based fMRI (2007) — 4,328 citations
• Modeling the hemodynamic response to brain activation. (2004) — 1,225 citations