Search Results - "Cox, Robert W"

Is the statistic value all we should care about in neuroimaging? by Chen, Gang, Taylor, Paul A., Cox, Robert W.

“…Here we address an important issue that has been embedded within the neuroimaging community for a long time: the absence of effect estimates in results…”
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Applications of multivariate modeling to neuroimaging group analysis: A comprehensive alternative to univariate general linear model by Chen, Gang, Adleman, Nancy E., Saad, Ziad S., Leibenluft, Ellen, Cox, Robert W.

“…All neuroimaging packages can handle group analysis with t-tests or general linear modeling (GLM). However, they are quite hamstrung when there are multiple…”
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Two distinct forms of functional lateralization in the human brain by Gotts, Stephen J, Jo, Hang Joon, Wallace, Gregory L, Saad, Ziad S, Cox, Robert W, Martin, Alex

“…The hemispheric lateralization of certain faculties in the human brain has long been held to be beneficial for functioning. However, quantitative relationships…”
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The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders by Gotts, Stephen J, Saad, Ziad S, Jo, Hang Joon, Wallace, Gregory L, Cox, Robert W, Martin, Alex

“…We have previously argued from a theoretical basis that the standard practice of regression of the Global Signal from the fMRI time series in functional…”
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Fractionation of Social Brain Circuits in Autism Spectrum Disorders by Gotts, Stephen J, Simmons, W. Kyle, Milbury, Lydia A, Wallace, Gregory L, Cox, Robert W, Martin, Alex

“…Autism spectrum disorders are developmental disorders characterized by impairments in social and communication abilities and repetitive behaviours. Converging…”
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Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging by Chen, Gang, Pine, Daniel S., Brotman, Melissa A., Smith, Ashley R., Cox, Robert W., Taylor, Paul A., Haller, Simone P.

“…Here we investigate the crucial role of trials in task-based neuroimaging from the perspectives of statistical efficiency and condition-level generalizability…”
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Fighting or embracing multiplicity in neuroimaging? neighborhood leverage versus global calibration by Chen, Gang, Taylor, Paul A., Cox, Robert W., Pessoa, Luiz

“…Neuroimaging faces the daunting challenge of multiple testing – an instance of multiplicity – that is associated with two other issues to some extent: low…”
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To pool or not to pool: Can we ignore cross-trial variability in FMRI? by Chen, Gang, Padmala, Srikanth, Chen, Yi, Taylor, Paul A., Cox, Robert W., Pessoa, Luiz

“…•BOLD response varies substantially across trials with no clear sequential patterns, but some extent of synchronization exists between contralateral…”
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Trial and error: A hierarchical modeling approach to test-retest reliability by Chen, Gang, Pine, Daniel S., Brotman, Melissa A., Smith, Ashley R., Cox, Robert W., Haller, Simone P.

“…•Conventional ICC formulation does not account for cross-trial variability and thus may attenuate test-retest reliability.•The extent of ICC attenuation…”
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Trouble at rest: how correlation patterns and group differences become distorted after global signal regression by Saad, Ziad S, Gotts, Stephen J, Murphy, Kevin, Chen, Gang, Jo, Hang Joon, Martin, Alex, Cox, Robert W

“…Resting-state functional magnetic resonance imaging (RS-FMRI) holds the promise of revealing brain functional connectivity without requiring specific tasks…”
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A new method for improving functional-to-structural MRI alignment using local Pearson correlation by Saad, Ziad S., Glen, Daniel R., Chen, Gang, Beauchamp, Michael S., Desai, Rutvik, Cox, Robert W.

“…Accurate registration of Functional Magnetic Resonance Imaging (FMRI) T2⁎-weighted volumes to same-subject high-resolution T1-weighted structural volumes is…”
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Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning by Chen, Gang, Taylor, Paul A., Qu, Xianggui, Molfese, Peter J., Bandettini, Peter A., Cox, Robert W., Finn, Emily S.

“…While inter-subject correlation (ISC) analysis is a powerful tool for naturalistic scanning data, drawing appropriate statistical inferences is difficult due…”
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Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI by Gotts, Stephen J., Jo, Hang Joon, Reynolds, Richard C., Bandettini, Peter A., Martin, Alex, Cox, Robert W., Saad, Ziad S.

“…Artifactual sources of resting-state (RS) FMRI can originate from head motion, physiology, and hardware. Of these sources, motion has received considerable…”
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Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: Functional connectivity-based parcellation method by Kim, Jae-Hun, Lee, Jong-Min, Jo, Hang Joon, Kim, Sook Hui, Lee, Jung Hee, Kim, Sung Tae, Seo, Sang Won, Cox, Robert W., Na, Duk L., Kim, Sun I., Saad, Ziad S.

“…Noninvasive parcellation of the human cerebral cortex is an important goal for understanding and examining brain functions. Recently, the patterns of…”
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Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline by Adhikari, Bhim M, Jahanshad, Neda, Shukla, Dinesh, Glahn, David C, Blangero, John, Fox, Peter T, Reynolds, Richard C, Cox, Robert W, Fieremans, Els, Veraart, Jelle, Novikov, Dmitry S, Nichols, Thomas E, Hong, L Elliot, Thompson, Paul M, Kochunov, Peter

“…We measured and compared heritability estimates for measures of functional brain connectivity extracted using the Enhancing Neuroimaging Genetics through…”
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AFNI: What a long strange trip it's been by Cox, Robert W.

“…AFNI is an open source software package for the analysis and display of functional MRI data. It originated in 1994 to meet the specific needs of researchers at…”
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Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies by Chen, Gang, Nash, Tiffany A., Cole, Katherine M., Kohn, Philip D., Wei, Shau-Ming, Gregory, Michael D., Eisenberg, Daniel P., Cox, Robert W., Berman, Karen F., Shane Kippenhan, J.

“…The ubiquitous adoption of linearity for quantitative predictors in statistical modeling is likely attributable to its advantages of straightforward…”
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Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI by Glen, Daniel R., Taylor, Paul A., Buchsbaum, Bradley R., Cox, Robert W., Reynolds, Richard C.

“…Knowing the difference between left and right is generally assumed throughout the brain MRI research community. However, we note widespread occurrences of…”
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Temporal similarity perfusion mapping: A standardized and model-free method for detecting perfusion deficits in stroke by Song, Sunbin, Bokkers, Reinoud P H, Luby, Marie, Edwardson, Matthew A, Brown, Tyler, Shah, Shreyansh, Cox, Robert W, Saad, Ziad S, Reynolds, Richard C, Glen, Daniel R, Cohen, Leonardo G, Latour, Lawrence L

“…Interpretation of the extent of perfusion deficits in stroke MRI is highly dependent on the method used for analyzing the perfusion-weighted signal intensity…”
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Quantifying agreement between anatomical and functional interhemispheric correspondences in the resting brain by Jo, Hang Joon, Saad, Ziad S, Gotts, Stephen J, Martin, Alex, Cox, Robert W

“…The human brain is composed of two broadly symmetric cerebral hemispheres, with an abundance of reciprocal anatomical connections between homotopic locations…”
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