Gang Chen
Orcid: 0000-0002-2960-089XAffiliations:
- National Institute of Mental Health, Bethesda, MD, USA
According to our database1,
Gang Chen
authored at least 42 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Inter-subject correlation during long narratives reveals widespread neural correlates of reading ability.
NeuroImage, November, 2023
BOLD Response is more than just magnitude: Improving detection sensitivity through capturing hemodynamic profiles.
NeuroImage, August, 2023
Highlight results, don't hide them: Enhance interpretation, reduce biases and improve reproducibility.
NeuroImage, July, 2023
Dynamic analysis of variable fractional order cantilever beam based on shifted Legendre polynomials algorithm.
J. Comput. Appl. Math., 2023
2022
Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing.
NeuroImage, 2022
Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging.
NeuroImage, 2022
Shifted Legendre polynomials algorithm used for the numerical analysis of viscoelastic plate with a fractional order model.
Math. Comput. Simul., 2022
Shifted Bernstein-Legendre polynomial collocation algorithm for numerical analysis of viscoelastic Euler-Bernoulli beam with variable order fractional model.
Math. Comput. Simul., 2022
2021
Different activation signatures in the primary sensorimotor and higher-level regions for haptic three-dimensional curved surface exploration.
NeuroImage, 2021
ICA-based denoising strategies in breath-hold induced cerebrovascular reactivity mapping with multi echo BOLD fMRI.
NeuroImage, 2021
NeuroImage, 2021
NeuroImage, 2021
Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies.
NeuroImage, 2021
2020
Reliability map of individual differences reflected in inter-subject correlation in naturalistic imaging.
NeuroImage, 2020
Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning.
NeuroImage, 2020
Fighting or embracing multiplicity in neuroimaging? neighborhood leverage versus global calibration.
NeuroImage, 2020
2019
Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling.
Neuroinformatics, 2019
NeuroImage, 2019
Finding the baby in the bath water - evidence for task-specific changes in resting state functional connectivity evoked by training.
NeuroImage, 2019
2018
NeuroImage, 2018
2017
Variance decomposition for single-subject task-based fMRI activity estimates across many sessions.
NeuroImage, 2017
Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling.
NeuroImage, 2017
Corrigendum to "Untangling the relatedness among correlations, Part I: Nonparametric approaches to inter-subject correlation analysis at the group level" [Neuroimage (in press)].
NeuroImage, 2017
2016
NeuroImage, 2016
Segregating attention from response control when performing a motor inhibition task: Segregating attention from response control.
NeuroImage, 2016
Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level.
NeuroImage, 2016
Frontiers Neuroinformatics, 2016
Brain Connect., 2016
2014
Surface-based mixed effects multilevel analysis of grouped human electrocorticography.
NeuroImage, 2014
Applications of multivariate modeling to neuroimaging group analysis: A comprehensive alternative to univariate general linear model.
NeuroImage, 2014
2013
Brain Connect., 2013
2012
Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression.
Brain Connect., 2012
2011
NeuroImage, 2011
Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis.
Comput. Biol. Medicine, 2011
2009
A new method for improving functional-to-structural MRI alignment using local Pearson correlation.
NeuroImage, 2009
2006
The role of the amygdala and rostral anterior cingulate in encoding expected outcomes during learning.
NeuroImage, 2006