Thomas T. Liu

Navigating Correlation, Causation, and Interpretation in Resting-State fMR

This paper examines limitations in interpreting resting-state fMRI correlations, distinguishing measurement distortion from causal non-identifiability and their implications for biological interpretation.

Resting state global brain activity induces bias in fMRI motion estimates

The paper shows that resting-state global brain activity biases motion estimates in fMRI, affecting functional connectivity measurements.

A Geometric View of Signal Sensitivity Metrics in multi-echo fMRI

This paper provides a geometric analysis of tSNR and dCNR in multi-echo fMRI, identifying three regimes of weight dependence and their impact on metric performance.

Effects of sub-threshold transcutaneous auricular vagus nerve stimulation on cerebral blood flow

This study investigates whether high-frequency sub-threshold taVNS affects cerebral blood flow using arterial spin labeling MRI in healthy subjects.

Functional Connectome Fingerprinting Using Shallow Feedforward Neural Networks

This study shows that shallow feedforward neural networks can achieve high accuracy in identifying subjects using rsfMRI correlation matrices with very short scan durations.

Weight Sensitivity of Temporal SNR Metrics in multi-echo fMRI

The paper analyzes weight sensitivity of temporal SNR metrics in multi-echo fMRI using a generalized Rayleigh quotient framework, showing high similarity in certain brain regions.

Nuisance effects in inter-scan functional connectivity estimates before and after nuisance regression

This paper examines how nuisance factors affect functional connectivity estimates across scans, both before and after nuisance regression, and highlights potential issues with global signal regression.

The Effects of Global Signal Regression on Estimates of Resting-state BOLD fMRI and EEG Vigilance Correlations

This study examines how global signal regression affects correlations between resting-state BOLD fMRI and EEG vigilance measures, finding a positive shift and changes in spatial patterns of correlations.

Nuisance Effects and the Limitations of Nuisance Regression in Dynamic Functional Connectivity fMRI

This study examines how nuisance factors affect dynamic functional connectivity estimates in fMRI and shows that nuisance regression does not fully eliminate their influence.

Template-based prediction of vigilance fluctuations in resting-state fMRI

This paper evaluates a template-based method for estimating vigilance from fMRI data in humans, showing it correlates with EEG and outperforms global signal estimation.

Cerebral blood flow predicts differential neurotransmitter activity

The paper investigates how cerebral blood flow changes in response to drugs targeting different neurotransmitter systems and finds a reliable spatial link between blood flow changes and receptor densities.