Literature DB >> 17919929

Competition between functional brain networks mediates behavioral variability.

A M Clare Kelly1, Lucina Q Uddin, Bharat B Biswal, F Xavier Castellanos, Michael P Milham.   

Abstract

Increased intraindividual variability (IIV) is a hallmark of disorders of attention. Recent work has linked these disorders to abnormalities in a "default mode" network, comprising brain regions routinely deactivated during goal-directed cognitive tasks. Findings from a study of the neural basis of attentional lapses suggest that a competitive relationship between the "task-negative" default mode network and regions of a "task-positive" attentional network is a potential locus of dysfunction in individuals with increased IIV. Resting state studies have shown that this competitive relationship is intrinsically represented in the brain, in the form of a negative correlation or antiphase relationship between spontaneous activity occurring in the two networks. We quantified the negative correlation between these two networks in 26 subjects, during active (Eriksen flanker task) and resting state scans. We hypothesized that the strength of the negative correlation is an index of the degree of regulation of activity in the default mode and task-positive networks and would be positively related to consistent behavioral performance. We found that the strength of the correlation between the two networks varies across individuals. These individual differences appear to be behaviorally relevant, as interindividual variation in the strength of the correlation was significantly related to individual differences in response time variability: the stronger the negative correlation (i.e., the closer to 180 degrees antiphase), the less variable the behavioral performance. This relationship was moderately consistent across resting and task conditions, suggesting that the measure indexes moderately stable individual differences in the integrity of functional brain networks. We discuss the implications of these findings for our understanding of the behavioral significance of spontaneous brain activity, in both healthy and clinical populations.

Entities:  

Mesh:

Year:  2007        PMID: 17919929     DOI: 10.1016/j.neuroimage.2007.08.008

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  571 in total

1.  Large-scale changes in network interactions as a physiological signature of spatial neglect.

Authors:  Antonello Baldassarre; Lenny Ramsey; Carl L Hacker; Alicia Callejas; Serguei V Astafiev; Nicholas V Metcalf; Kristi Zinn; Jennifer Rengachary; Abraham Z Snyder; Alex R Carter; Gordon L Shulman; Maurizio Corbetta
Journal:  Brain       Date:  2014-11-02       Impact factor: 13.501

Review 2.  Large-scale brain systems in ADHD: beyond the prefrontal-striatal model.

Authors:  F Xavier Castellanos; Erika Proal
Journal:  Trends Cogn Sci       Date:  2011-12-12       Impact factor: 20.229

3.  Network anticorrelations, global regression, and phase-shifted soft tissue correction.

Authors:  Jeffrey S Anderson; T Jason Druzgal; Melissa Lopez-Larson; Eun-Kee Jeong; Krishnaji Desai; Deborah Yurgelun-Todd
Journal:  Hum Brain Mapp       Date:  2010-06-09       Impact factor: 5.038

4.  Default mode network dysfunction in adults with prenatal alcohol exposure.

Authors:  Priya Santhanam; Claire D Coles; Zhihao Li; Longchuan Li; Mary Ellen Lynch; Xiaoping Hu
Journal:  Psychiatry Res       Date:  2011-11-10       Impact factor: 3.222

5.  Functional brain connectivity at rest changes after working memory training.

Authors:  Dietsje D Jolles; Mark A van Buchem; Eveline A Crone; Serge A R B Rombouts
Journal:  Hum Brain Mapp       Date:  2011-11-11       Impact factor: 5.038

6.  Reproducibility of single-subject functional connectivity measurements.

Authors:  J S Anderson; M A Ferguson; M Lopez-Larson; D Yurgelun-Todd
Journal:  AJNR Am J Neuroradiol       Date:  2011-01-27       Impact factor: 3.825

Review 7.  GABAergic interneuron origin of schizophrenia pathophysiology.

Authors:  Kazu Nakazawa; Veronika Zsiros; Zhihong Jiang; Kazuhito Nakao; Stefan Kolata; Shuqin Zhang; Juan E Belforte
Journal:  Neuropharmacology       Date:  2011-01-26       Impact factor: 5.250

8.  Thalamus is a common locus of reading, arithmetic, and IQ: Analysis of local intrinsic functional properties.

Authors:  Maki S Koyama; Peter J Molfese; Michael P Milham; W Einar Mencl; Kenneth R Pugh
Journal:  Brain Lang       Date:  2020-07-29       Impact factor: 2.381

9.  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

Review 10.  Functional Neurocircuits and Neuroimaging Biomarkers of Tobacco Use Disorder.

Authors:  Matthew T Sutherland; Elliot A Stein
Journal:  Trends Mol Med       Date:  2018-02       Impact factor: 11.951

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.