Literature DB >> 22341211

Characterizing variation in the functional connectome: promise and pitfalls.

Clare Kelly1, Bharat B Biswal, R Cameron Craddock, F Xavier Castellanos, Michael P Milham.   

Abstract

The functional MRI (fMRI) community has zealously embraced resting state or intrinsic functional connectivity approaches to mapping brain organization. Having demonstrated their utility for charting the large-scale functional architecture of the brain, the field is now leveraging task-independent methods for the investigation of phenotypic variation and the identification of biomarkers for clinical conditions. Enthusiasm aside, questions regarding the significance and validity of intrinsic brain phenomena remain. Here, we discuss these challenges and outline current developments that, in moving the field toward discovery science, permit a shift from cartography toward a mechanistic understanding of the neural bases of variation in cognition, emotion and behavior. Copyright Â
© 2012. Published by Elsevier Ltd.

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Year:  2012        PMID: 22341211      PMCID: PMC3882689          DOI: 10.1016/j.tics.2012.02.001

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  96 in total

1.  CORSICA: correction of structured noise in fMRI by automatic identification of ICA components.

Authors:  Vincent Perlbarg; Pierre Bellec; Jean-Luc Anton; Mélanie Pélégrini-Issac; Julien Doyon; Habib Benali
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

2.  The respiration response function: the temporal dynamics of fMRI signal fluctuations related to changes in respiration.

Authors:  Rasmus M Birn; Monica A Smith; Tyler B Jones; Peter A Bandettini
Journal:  Neuroimage       Date:  2007-12-15       Impact factor: 6.556

3.  Defining functional areas in individual human brains using resting functional connectivity MRI.

Authors:  Alexander L Cohen; Damien A Fair; Nico U F Dosenbach; Francis M Miezin; Donna Dierker; David C Van Essen; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2008-03-25       Impact factor: 6.556

4.  Multi-level bootstrap analysis of stable clusters in resting-state fMRI.

Authors:  Pierre Bellec; Pedro Rosa-Neto; Oliver C Lyttelton; Habib Benali; Alan C Evans
Journal:  Neuroimage       Date:  2010-03-10       Impact factor: 6.556

5.  Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures.

Authors:  Urs Braun; Michael M Plichta; Christine Esslinger; Carina Sauer; Leila Haddad; Oliver Grimm; Daniela Mier; Sebastian Mohnke; Andreas Heinz; Susanne Erk; Henrik Walter; Nina Seiferth; Peter Kirsch; Andreas Meyer-Lindenberg
Journal:  Neuroimage       Date:  2011-08-23       Impact factor: 6.556

6.  Investigating the electrophysiological basis of resting state networks using magnetoencephalography.

Authors:  Matthew J Brookes; Mark Woolrich; Henry Luckhoo; Darren Price; Joanne R Hale; Mary C Stephenson; Gareth R Barnes; Stephen M Smith; Peter G Morris
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-19       Impact factor: 11.205

7.  Retrospective estimation and correction of physiological fluctuation in functional MRI.

Authors:  X Hu; T H Le; T Parrish; P Erhard
Journal:  Magn Reson Med       Date:  1995-08       Impact factor: 4.668

8.  Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.

Authors:  Theodore D Satterthwaite; Daniel H Wolf; James Loughead; Kosha Ruparel; Mark A Elliott; Hakon Hakonarson; Ruben C Gur; Raquel E Gur
Journal:  Neuroimage       Date:  2012-01-02       Impact factor: 6.556

9.  Relationship between cingulo-insular functional connectivity and autistic traits in neurotypical adults.

Authors:  Adriana Di Martino; Zarrar Shehzad; Clare Kelly; Amy Krain Roy; Dylan G Gee; Lucina Q Uddin; Kristin Gotimer; Donald F Klein; F Xavier Castellanos; Michael P Milham
Journal:  Am J Psychiatry       Date:  2009-07-15       Impact factor: 18.112

10.  Your resting brain CAREs about your risky behavior.

Authors:  Christine L Cox; Kristin Gotimer; Amy K Roy; F Xavier Castellanos; Michael P Milham; Clare Kelly
Journal:  PLoS One       Date:  2010-08-19       Impact factor: 3.240

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  103 in total

1.  Neuroscience: Making connections.

Authors:  Jon Bardin
Journal:  Nature       Date:  2012-03-21       Impact factor: 49.962

2.  Social interactions elicit rapid shifts in functional connectivity in the social decision-making network of zebrafish.

Authors:  Magda C Teles; Olinda Almeida; João S Lopes; Rui F Oliveira
Journal:  Proc Biol Sci       Date:  2015-10-07       Impact factor: 5.349

Review 3.  Type 2 diabetes and cognitive impairment: contributions from neuroimaging.

Authors:  John P Ryan; David F Fine; Caterina Rosano
Journal:  J Geriatr Psychiatry Neurol       Date:  2014-01-05       Impact factor: 2.680

4.  Identifying functional networks using endogenous connectivity in gamma band electrocorticography.

Authors:  Andrew L Ko; Kurt E Weaver; Shahin Hakimian; Jeffrey G Ojemann
Journal:  Brain Connect       Date:  2013-09-21

Review 5.  What is a representative brain? Neuroscience meets population science.

Authors:  Emily B Falk; Luke W Hyde; Colter Mitchell; Jessica Faul; Richard Gonzalez; Mary M Heitzeg; Daniel P Keating; Kenneth M Langa; Meghan E Martz; Julie Maslowsky; Frederick J Morrison; Douglas C Noll; Megan E Patrick; Fabian T Pfeffer; Patricia A Reuter-Lorenz; Moriah E Thomason; Pamela Davis-Kean; Christopher S Monk; John Schulenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-22       Impact factor: 11.205

6.  Sub-hubs of baseline functional brain networks are related to early improvement following two-week pharmacological therapy for major depressive disorder.

Authors:  Yuedi Shen; Jiashu Yao; Xueyan Jiang; Lei Zhang; Luoyi Xu; Rui Feng; Liqiang Cai; Jing Liu; Jinhui Wang; Wei Chen
Journal:  Hum Brain Mapp       Date:  2015-04-30       Impact factor: 5.038

7.  A multivariate distance-based analytic framework for connectome-wide association studies.

Authors:  Zarrar Shehzad; Clare Kelly; Philip T Reiss; R Cameron Craddock; John W Emerson; Katie McMahon; David A Copland; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2014-02-28       Impact factor: 6.556

8.  Connectivity trajectory across lifespan differentiates the precuneus from the default network.

Authors:  Zhi Yang; Catie Chang; Ting Xu; Lili Jiang; Daniel A Handwerker; F Xavier Castellanos; Michael P Milham; Peter A Bandettini; Xi-Nian Zuo
Journal:  Neuroimage       Date:  2013-11-25       Impact factor: 6.556

9.  Intrinsic functional connectivity of the frontoparietal network predicts inter-individual differences in the propensity for costly third-party punishment.

Authors:  Qun Yang; Gabriele Bellucci; Morris Hoffman; Ko-Tsung Hsu; Bonian Lu; Gopikrishna Deshpande; Frank Krueger
Journal:  Cogn Affect Behav Neurosci       Date:  2021-07-30       Impact factor: 3.282

10.  A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.

Authors:  Chao-Gan Yan; Brian Cheung; Clare Kelly; Stan Colcombe; R Cameron Craddock; Adriana Di Martino; Qingyang Li; Xi-Nian Zuo; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2013-03-15       Impact factor: 6.556

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