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Gang Chen
National Institutes of Health
68Publications
26H-index
3,127Citations
Publications 68
Newest
Published on Feb 4, 2019in Translational Psychiatry5.18
Bernhard Meyer40
Estimated H-index: 40
(Medical University of Vienna),
Ulrich Rabl9
Estimated H-index: 9
(Medical University of Vienna)
+ 10 AuthorsAlan F. Schatzberg86
Estimated H-index: 86
(Stanford University)
Due to lacking predictors of depression recovery, successful treatment of major depressive disorder (MDD) is frequently only achieved after therapeutic optimization leading to a prolonged suffering of patients. This study aimed to determine neural prognostic predictors identifying non-remitters prior or early after treatment initiation. Moreover, it intended to detect time-sensitive neural mediators indicating depression recovery. This longitudinal, interventional, single-arm, open-label, phase ...
Published in The Journal of Neuroscience6.07
Rossella Falcone (NIH: National Institutes of Health), David Weintraub + -3 AuthorsBarry J. Richmond35
Estimated H-index: 35
(NIH: National Institutes of Health)
The rostromedioventral striatum is critical for behavior dependent on evaluating rewards. We asked what contribution tonically active neurons (TANs), the putative striatal cholinergic interneurons, make in coding reward value in this part of the striatum. Two female monkeys were given the option to accept or reject an offered reward in each trial, the value of which was signaled by a visual cue. 45% of the TANs use temporally modulated activity to encode information about discounted value. These...
Published on Jul 18, 2019in bioRxiv
Gang Chen26
Estimated H-index: 26
(NIH: National Institutes of Health),
Paul A. Taylor13
Estimated H-index: 13
(NIH: National Institutes of Health)
+ 1 AuthorsLuiz Pessoa1
Estimated H-index: 1
(UMD: University of Maryland, College Park)
Neuroimaging faces the daunting challenge of multiple testing - an instance of multiplicity - that is associated with two other issues to some extent: low inference efficiency and poor reproducibility. Typically, the same statistical model is applied to each spatial unit independently in the approach of massively univariate modeling, and corrections for multiple testing are applied to account for the existence of tens of thousand of simultaneous statistical inferences. In dealing with multiplici...
Published on Jun 12, 2019in Human Brain Mapping4.55
Gang Chen98
Estimated H-index: 98
,
Paul‐Christian Bürkner + 6 AuthorsLuiz Pessoa1
Estimated H-index: 1
Published on May 30, 2019in bioRxiv
Gang Chen98
Estimated H-index: 98
,
Paul A. Taylor13
Estimated H-index: 13
+ 4 AuthorsEmily S. Finn14
Estimated H-index: 14
While inter-subject correlation (ISC) analysis is a powerful tool for naturalistic scanning data, drawing appropriate statistical inferences is difficult due to the daunting task of accounting for the intricate relatedness in data structure as well as the intricacy of handling the multiple testing issue. In our previous work we proposed nonparametric approaches to performing group ISC analysis through bootstrapping for one group of subjects and permutation testing for two groups (Chen et al., 20...
Published on May 1, 2019in Science Advances
Yinghua Yu1
Estimated H-index: 1
(Okayama University),
Laurentius Huber11
Estimated H-index: 11
+ 7 AuthorsPeter A. Bandettini58
Estimated H-index: 58
When humans perceive a sensation, their brains integrate inputs from sensory receptors and process them based on their expectations. The mechanisms of this predictive coding in the human somatosensory system are not fully understood. We fill a basic gap in our understanding of the predictive processing of somatosensation by examining the layer-specific activity in sensory input and predictive feedback in the human primary somatosensory cortex (S1). We acquired submillimeter functional magnetic r...
Published on Mar 1, 2019in NeuroImage5.81
Adam Steel4
Estimated H-index: 4
,
Cibu Thomas14
Estimated H-index: 14
+ 2 AuthorsChris I. Baker36
Estimated H-index: 36
Abstract Resting-state functional connectivity (rsFC) between brain regions has been used for studying training-related changes in brain function during the offline period of skill learning. However, it is difficult to infer whether the observed training-related changes in rsFC measured between two scans occur as a consequence of task performance, whether they are specific to a given task, or whether they reflect confounding factors such as diurnal fluctuations in brain physiology that impact th...
Published on Jan 16, 2019in Neuroinformatics5.13
Gang Chen26
Estimated H-index: 26
(NIH: National Institutes of Health),
Yaqiong Xiao1
Estimated H-index: 1
(UMD: University of Maryland, College Park)
+ 5 AuthorsRobert W. Cox45
Estimated H-index: 45
(NIH: National Institutes of Health)
Here we address the current issues of inefficiency and over-penalization in the massively univariate approach followed by the correction for multiple testing, and propose a more efficient model that pools and shares information among brain regions. Using Bayesian multilevel (BML) modeling, we control two types of error that are more relevant than the conventional false positive rate (FPR): incorrect sign (type S) and incorrect magnitude (type M). BML also aims to achieve two goals: 1) improving ...
Published on Jan 8, 2019in Psychological Medicine5.64
Rany Abend11
Estimated H-index: 11
,
Caroline Swetlitz1
Estimated H-index: 1
+ 10 AuthorsGang Chen98
Estimated H-index: 98
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