Literature DB >> 25264228

Does resting-state connectivity reflect depressive rumination? A tale of two analyses.

Marc G Berman1, Bratislav Misic2, Martin Buschkuehl3, Ethan Kross4, Patricia J Deldin4, Scott Peltier4, Nathan W Churchill2, Susanne M Jaeggi5, Vasily Vakorin2, Anthony R McIntosh2, John Jonides4.   

Abstract

Major Depressive Disorder (MDD) is characterized by rumination. Prior research suggests that resting-state brain activation reflects rumination when depressed individuals are not task engaged. However, no study has directly tested this. Here we investigated whether resting-state epochs differ from induced ruminative states for healthy and depressed individuals. Most previous research on resting-state networks comes from seed-based analyses with the posterior cingulate cortex (PCC). By contrast, we examined resting state connectivity by using the complete multivariate connectivity profile (i.e., connections across all brain nodes) and by comparing these results to seeded analyses. We find that unconstrained resting-state intervals differ from active rumination states in strength of connectivity and that overall connectivity was higher for healthy vs. depressed individuals. Relationships between connectivity and subjective mood (i.e., behavior) were strongly observed during induced rumination epochs. Furthermore, connectivity patterns that related to subjective mood were strikingly different for MDD and healthy control (HC) groups suggesting different mood regulation mechanisms.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Functional connectivity; Multivariate analysis; Resting-state; Rumination; fMRI

Mesh:

Year:  2014        PMID: 25264228     DOI: 10.1016/j.neuroimage.2014.09.027

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


  34 in total

1.  Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses.

Authors:  Sean L Simpson; Paul J Laurienti
Journal:  Brain Connect       Date:  2015-10-15

2.  Adults with Autism and Adults with Depression Show Similar Attentional Biases to Social-Affective Images.

Authors:  Kathryn E Unruh; James W Bodfish; Katherine O Gotham
Journal:  J Autism Dev Disord       Date:  2020-07

3.  Alterations of functional connectivity and intrinsic activity within the cingulate cortex of suicidal ideators.

Authors:  Henry W Chase; Anna Maria Segreti; Timothy A Keller; Vladimir L Cherkassky; Marcel A Just; Lisa A Pan; David A Brent
Journal:  J Affect Disord       Date:  2017-01-15       Impact factor: 4.839

4.  Stable long-range interhemispheric coordination is supported by direct anatomical projections.

Authors:  Kelly Shen; Bratislav Mišić; Ben N Cipollini; Gleb Bezgin; Martin Buschkuehl; R Matthew Hutchison; Susanne M Jaeggi; Ethan Kross; Scott J Peltier; Stefan Everling; John Jonides; Anthony R McIntosh; Marc G Berman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-04       Impact factor: 11.205

5.  Hippocampal atrophy and intrinsic brain network dysfunction relate to alterations in mind wandering in neurodegeneration.

Authors:  Claire O'Callaghan; James M Shine; John R Hodges; Jessica R Andrews-Hanna; Muireann Irish
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-04       Impact factor: 11.205

6.  Differential association of default mode network connectivity and rumination in healthy individuals and remitted MDD patients.

Authors:  Giannis Lois; Michèle Wessa
Journal:  Soc Cogn Affect Neurosci       Date:  2016-07-12       Impact factor: 3.436

7.  Subclinical depression severity is associated with distinct patterns of functional connectivity for subregions of anterior cingulate cortex.

Authors:  Carissa L Philippi; Julian C Motzkin; Maia S Pujara; Michael Koenigs
Journal:  J Psychiatr Res       Date:  2015-10-09       Impact factor: 4.791

8.  Insula-Retrosplenial Cortex Overconnectivity Increases Internalizing via Reduced Insight in Autism.

Authors:  Jeremy Hogeveen; Marie K Krug; Matthew V Elliott; Marjorie Solomon
Journal:  Biol Psychiatry       Date:  2018-01-31       Impact factor: 13.382

9.  Tracking mood fluctuations with functional network patterns.

Authors:  Nykan Mirchi; Richard F Betzel; Boris C Bernhardt; Alain Dagher; Bratislav Mišic
Journal:  Soc Cogn Affect Neurosci       Date:  2019-01-04       Impact factor: 3.436

10.  Inter-individual differences in the experience of negative emotion predict variations in functional brain architecture.

Authors:  Raluca Petrican; Cristina Saverino; R Shayna Rosenbaum; Cheryl Grady
Journal:  Neuroimage       Date:  2015-08-21       Impact factor: 6.556

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