Articles with public access mandates - Robert CoxLearn more
Available somewhere: 56
Variability in the analysis of a single neuroimaging dataset by many teams
R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ...
Nature 582 (7810), 84-88, 2020
Mandates: US National Science Foundation, US National Institutes of Health, Austrian …
Trouble at rest: how correlation patterns and group differences become distorted after global signal regression
ZS Saad, SJ Gotts, K Murphy, G Chen, HJ Jo, A Martin, RW Cox
Brain connectivity 2 (1), 25-32, 2012
Mandates: US National Institutes of Health
FMRI clustering in AFNI: false-positive rates redux
RW Cox, G Chen, DR Glen, RC Reynolds, PA Taylor
Brain connectivity 7 (3), 152-171, 2017
Mandates: US National Institutes of Health
Mapping sources of correlation in resting state FMRI, with artifact detection and removal
HJ Jo, ZS Saad, WK Simmons, LA Milbury, RW Cox
Neuroimage 52 (2), 571-582, 2010
Mandates: US National Institutes of Health
A new method for improving functional-to-structural MRI alignment using local Pearson correlation
ZS Saad, DR Glen, G Chen, MS Beauchamp, R Desai, RW Cox
Neuroimage 44 (3), 839-848, 2009
Mandates: US National Institutes of Health
Two distinct forms of functional lateralization in the human brain
SJ Gotts, HJ Jo, GL Wallace, ZS Saad, RW Cox, A Martin
Proceedings of the National Academy of Sciences 110 (36), E3435-E3444, 2013
Mandates: US National Institutes of Health
Fractionation of social brain circuits in autism spectrum disorders
SJ Gotts, WK Simmons, LA Milbury, GL Wallace, RW Cox, A Martin
Brain 135 (9), 2711-2725, 2012
Mandates: US National Institutes of Health
Linear mixed-effects modeling approach to FMRI group analysis
G Chen, ZS Saad, JC Britton, DS Pine, RW Cox
Neuroimage 73, 176-190, 2013
Mandates: US National Institutes of Health
AFNI: what a long strange trip it's been
RW Cox
Neuroimage 62 (2), 743-747, 2012
Mandates: US National Institutes of Health
Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: functional connectivity-based parcellation method
JH Kim, JM Lee, HJ Jo, SH Kim, JH Lee, ST Kim, SW Seo, RW Cox, ...
Neuroimage 49 (3), 2375-2386, 2010
Mandates: US National Institutes of Health
Effective preprocessing procedures virtually eliminate distance‐dependent motion artifacts in resting state FMRI
HJ Jo, SJ Gotts, RC Reynolds, PA Bandettini, A Martin, RW Cox, ZS Saad
Journal of applied mathematics 2013 (1), 935154, 2013
Mandates: US National Institutes of Health
Applications of multivariate modeling to neuroimaging group analysis: a comprehensive alternative to univariate general linear model
G Chen, NE Adleman, ZS Saad, E Leibenluft, RW Cox
Neuroimage 99, 571-588, 2014
Mandates: US National Institutes of Health
fMRI clustering and false-positive rates
RW Cox, G Chen, DR Glen, RC Reynolds, PA Taylor
Proceedings of the National Academy of Sciences 114 (17), E3370-E3371, 2017
Mandates: US National Institutes of Health
FMRI group analysis combining effect estimates and their variances
G Chen, ZS Saad, AR Nath, MS Beauchamp, RW Cox
Neuroimage 60 (1), 747-765, 2012
Mandates: US National Institutes of Health
Correcting brain-wide correlation differences in resting-state FMRI
ZS Saad, RC Reynolds, HJ Jo, SJ Gotts, G Chen, A Martin, RW Cox
Brain connectivity 3 (4), 339-352, 2013
Mandates: US National Institutes of Health
Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis
G Chen, DR Glen, ZS Saad, JP Hamilton, ME Thomason, IH Gotlib, ...
Computers in biology and medicine 41 (12), 1142-1155, 2011
Mandates: US National Institutes of Health
Is the statistic value all we should care about in neuroimaging?
G Chen, PA Taylor, RW Cox
NeuroImage 147, 952-959, 2017
Mandates: US National Institutes of Health
Intraclass correlation: Improved modeling approaches and applications for neuroimaging
G Chen, PA Taylor, SP Haller, K Kircanski, J Stoddard, DS Pine, ...
Human brain mapping 39 (3), 1187-1206, 2018
Mandates: US National Institutes of Health
Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling
G Chen, PA Taylor, YW Shin, RC Reynolds, RW Cox
Neuroimage 147, 825-840, 2017
Mandates: US National Institutes of Health
Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level
G Chen, YW Shin, PA Taylor, DR Glen, RC Reynolds, RB Israel, RW Cox
NeuroImage 142, 248-259, 2016
Mandates: US National Institutes of Health
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