Journal ArticleDOI
Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
TLDR
The results indicate that the CompCor method increases the sensitivity and selectivity of fcMRI analysis, and show a high degree of interscan reliability for many fc MRI measures.Citations
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Journal ArticleDOI
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.
TL;DR: The newly developed toolbox, DPABI, which was evolved from REST and DPARSF is introduced, designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies.
Journal ArticleDOI
Anticorrelations in resting state networks without global signal regression
TL;DR: The results suggest that anticor Relations observed in resting-state connectivity are not an artifact introduced by global signal regression and might have biological origins, and that the CompCor method can be used to examine valid anticorrelations during rest.
Journal ArticleDOI
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Jinhui Wang,Jinhui Wang,Xindi Wang,Mingrui Xia,Xuhong Liao,Alan C. Evans,Yong-Min He,Yong-Min He +7 more
TL;DR: It is demonstrated that human brain functional networks exhibit efficient small-world, assortative, hierarchical and modular organizations and possess highly connected hubs and that these findings are robust against different analytical strategies.
Journal ArticleDOI
Robust prediction of individual creative ability from brain functional connectivity
Roger E. Beaty,Yoed N. Kenett,Alexander P. Christensen,Monica D. Rosenberg,Mathias Benedek,Qunlin Chen,Andreas Fink,Jiang Qiu,Thomas R. Kwapil,Michael J. Kane,Paul J. Silvia +10 more
TL;DR: A whole-brain network associated with high-creative ability comprised of cortical hubs within default, salience, and executive systems—intrinsic functional networks that tend to work in opposition is identified, suggesting that highly creative people are characterized by the ability to simultaneously engage these large-scale brain networks.
Journal ArticleDOI
Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases.
Michael D. Fox,Randy L. Buckner,Hesheng Liu,M. Mallar Chakravarty,M. Mallar Chakravarty,Andres M. Lozano,Andres M. Lozano,Alvaro Pascual-Leone +7 more
TL;DR: It is found that although different types of brain stimulation are applied in different locations, targets used to treat the same disease most often are nodes within the same brain network as defined by resting-state functional-connectivity MRI.
References
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Journal ArticleDOI
A method for comparing group fMRI data using independent component analysis: application to visual, motor and visuomotor tasks.
TL;DR: This method is applied to data from experiments designed to stimulate visual cortex, motor cortex or both visual and motor cortices, and several intergroup and intragroup metrics are proposed for assessing the utility of the components for comparisons of group ICA data.
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Altered functioning of the executive control circuit in late-life depression: episodic and persistent phenomena.
Howard J. Aizenstein,Meryl A. Butters,Minjie Wu,Laura Mazurkewicz,V. Andrew Stenger,Peter J. Gianaros,James T. Becker,Charles F. Reynolds,Cameron S. Carter +8 more
TL;DR: The results support a model of both episodic and persistent neurobiologic components of LLD, and at least some of the prefrontal hypoactivity seems to be an episodic characteristic of acute depression amenable to treatment.
Journal ArticleDOI
Group independent component analysis reveals consistent resting-state networks across multiple sessions.
Sharon C.-A. Chen,Thomas J. Ross,Thomas J. Ross,Wang Zhan,Wang Zhan,Carol S. Myers,Carol S. Myers,Keh-Shih Chuang,Keh-Shih Chuang,Stephen J. Heishman,Stephen J. Heishman,Elliot A. Stein,Elliot A. Stein,Yihong Yang,Yihong Yang +14 more
TL;DR: Group independent component analysis (gICA) was performed on resting-state data from 14 healthy subjects scanned on 5 fMRI scan sessions across 16 days and showed that components were remarkably consistent across session.
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Differences in resting corticolimbic functional connectivity in bipolar I euthymia.
Salvatore Torrisi,Teena D. Moody,Nathalie Vizueta,Moriah E. Thomason,Martin M. Monti,Jennifer Townsend,Susan Y. Bookheimer,Lori L. Altshuler +7 more
TL;DR: Resting state functional connectivity in the brain between key emotion regulation regions in bipolar I disorder is examined to delineate differences in coupling from healthy subjects.