Large-scale network functional interactions during distraction and reappraisal in remitted bipolar and unipolar patients
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Giannis Lois
- Martin F Gerchen
- Peter Kirsch
- Philipp Kanske
- Sandra Schoenfelder
- Michele Wessa
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000413569800010&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1111/bdi.12512
- eISSN
- 1399-5618
- Externe Identifier
- Clarivate Analytics Document Solution ID: FK5VJ
- PubMed Identifier: 28960669
- ISSN
- 1398-5647
- Ausgabe der Veröffentlichung
- 6
- Zeitschrift
- BIPOLAR DISORDERS
- Schlüsselwörter
- bipolar disorder
- default mode network
- depression
- functional connectivity
- large-scale networks
- Paginierung
- 487 - 495
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Titel
- Large-scale network functional interactions during distraction and reappraisal in remitted bipolar and unipolar patients
- Sub types
- Article
- Ausgabe der Zeitschrift
- 19
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:sec><jats:title>Objectives</jats:title><jats:p>The human brain is organized into large‐scale networks that dynamically interact with each other. Extensive evidence has shown characteristic changes in certain large‐scale networks during transitions from internally directed to externally directed attention. The aim of the present study was to compare these context‐dependent network interactions during emotion regulation and to examine potential alterations in remitted unipolar and bipolar disorder patients.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We employed a multi‐region generalized psychophysiological interactions analysis to quantify connectivity changes during distraction vs reappraisal pair‐wise across 90 regions placed throughout the four networks of interest (default‐mode, frontoparietal, salience, and dorsal attention networks). Using network contingency analysis and permutation testing, we estimated the likelihood that the number of significant condition‐dependent connectivity changes in every pair of networks exceeds the number expected by chance. We first examined the pattern of functional connectivity in 42 healthy subjects (sample I) and then compared these connectivity patterns across healthy individuals (n=23) and remitted bipolar (n=21) and unipolar disorder patients (n=21) in an independent sample <jats:styled-content style="fixed-case">II</jats:styled-content>.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>In sample I, distraction compared to reappraisal was characterized by reduced connectivity within the default‐mode network and between the default‐mode and two cognitive control networks and increased connectivity among the cognitive control networks. In sample <jats:styled-content style="fixed-case">II</jats:styled-content>, both patient groups exhibited abnormally increased default‐mode intra‐ and inter‐network connectivity during distraction compared to reappraisal.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The present study highlights the role of large‐scale network interactions in emotion regulation and provides preliminary evidence of default‐mode inter‐ and intra‐network connectivity impairments in remitted bipolar and unipolar patients during emotion regulation.</jats:p></jats:sec>
- Autoren
- Giannis Lois
- Martin F Gerchen
- Peter Kirsch
- Philipp Kanske
- Sandra Schönfelder
- Michèle Wessa
- DOI
- 10.1111/bdi.12512
- eISSN
- 1399-5618
- ISSN
- 1398-5647
- Ausgabe der Veröffentlichung
- 6
- Zeitschrift
- Bipolar Disorders
- Sprache
- en
- Online publication date
- 2017
- Paginierung
- 487 - 495
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Herausgeber
- Wiley
- Herausgeber URL
- http://dx.doi.org/10.1111/bdi.12512
- Datum der Datenerfassung
- 2023
- Titel
- Large‐scale network functional interactions during distraction and reappraisal in remitted bipolar and unipolar patients
- Ausgabe der Zeitschrift
- 19
Datenquelle: Crossref
- Abstract
- <h4>Objectives</h4>The human brain is organized into large-scale networks that dynamically interact with each other. Extensive evidence has shown characteristic changes in certain large-scale networks during transitions from internally directed to externally directed attention. The aim of the present study was to compare these context-dependent network interactions during emotion regulation and to examine potential alterations in remitted unipolar and bipolar disorder patients.<h4>Methods</h4>We employed a multi-region generalized psychophysiological interactions analysis to quantify connectivity changes during distraction vs reappraisal pair-wise across 90 regions placed throughout the four networks of interest (default-mode, frontoparietal, salience, and dorsal attention networks). Using network contingency analysis and permutation testing, we estimated the likelihood that the number of significant condition-dependent connectivity changes in every pair of networks exceeds the number expected by chance. We first examined the pattern of functional connectivity in 42 healthy subjects (sample I) and then compared these connectivity patterns across healthy individuals (n=23) and remitted bipolar (n=21) and unipolar disorder patients (n=21) in an independent sample II.<h4>Results</h4>In sample I, distraction compared to reappraisal was characterized by reduced connectivity within the default-mode network and between the default-mode and two cognitive control networks and increased connectivity among the cognitive control networks. In sample II, both patient groups exhibited abnormally increased default-mode intra- and inter-network connectivity during distraction compared to reappraisal.<h4>Conclusions</h4>The present study highlights the role of large-scale network interactions in emotion regulation and provides preliminary evidence of default-mode inter- and intra-network connectivity impairments in remitted bipolar and unipolar patients during emotion regulation.
- Addresses
- Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University Mainz, Mainz, Germany.
- Autoren
- Giannis Lois
- Martin F Gerchen
- Peter Kirsch
- Philipp Kanske
- Sandra Schönfelder
- Michèle Wessa
- DOI
- 10.1111/bdi.12512
- eISSN
- 1399-5618
- Externe Identifier
- PubMed Identifier: 28960669
- Funding acknowledgements
- Bundesministerium für Bildung und Forschung: 01GQ1003B
- Deutsche Forschungsgemeinschaft: We3638/3‐1
- Open access
- false
- ISSN
- 1398-5647
- Ausgabe der Veröffentlichung
- 6
- Zeitschrift
- Bipolar disorders
- Schlüsselwörter
- Brain
- Nerve Net
- Humans
- Emotions
- Cognition
- Attention
- Bipolar Disorder
- Neuronal Plasticity
- Adult
- Female
- Male
- Connectome
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2017
- Paginierung
- 487 - 495
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Datum der Datenerfassung
- 2017
- Titel
- Large-scale network functional interactions during distraction and reappraisal in remitted bipolar and unipolar patients.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 19
Datenquelle: Europe PubMed Central
- Abstract
- OBJECTIVES: The human brain is organized into large-scale networks that dynamically interact with each other. Extensive evidence has shown characteristic changes in certain large-scale networks during transitions from internally directed to externally directed attention. The aim of the present study was to compare these context-dependent network interactions during emotion regulation and to examine potential alterations in remitted unipolar and bipolar disorder patients. METHODS: We employed a multi-region generalized psychophysiological interactions analysis to quantify connectivity changes during distraction vs reappraisal pair-wise across 90 regions placed throughout the four networks of interest (default-mode, frontoparietal, salience, and dorsal attention networks). Using network contingency analysis and permutation testing, we estimated the likelihood that the number of significant condition-dependent connectivity changes in every pair of networks exceeds the number expected by chance. We first examined the pattern of functional connectivity in 42 healthy subjects (sample I) and then compared these connectivity patterns across healthy individuals (n=23) and remitted bipolar (n=21) and unipolar disorder patients (n=21) in an independent sample II. RESULTS: In sample I, distraction compared to reappraisal was characterized by reduced connectivity within the default-mode network and between the default-mode and two cognitive control networks and increased connectivity among the cognitive control networks. In sample II, both patient groups exhibited abnormally increased default-mode intra- and inter-network connectivity during distraction compared to reappraisal. CONCLUSIONS: The present study highlights the role of large-scale network interactions in emotion regulation and provides preliminary evidence of default-mode inter- and intra-network connectivity impairments in remitted bipolar and unipolar patients during emotion regulation.
- Date of acceptance
- 2017
- Autoren
- Giannis Lois
- Martin F Gerchen
- Peter Kirsch
- Philipp Kanske
- Sandra Schönfelder
- Michèle Wessa
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/28960669
- DOI
- 10.1111/bdi.12512
- eISSN
- 1399-5618
- Ausgabe der Veröffentlichung
- 6
- Zeitschrift
- Bipolar Disord
- Schlüsselwörter
- bipolar disorder
- default mode network
- depression
- functional connectivity
- large-scale networks
- Adult
- Attention
- Bipolar Disorder
- Brain
- Cognition
- Connectome
- Emotions
- Female
- Humans
- Male
- Nerve Net
- Neuronal Plasticity
- Sprache
- eng
- Country
- Denmark
- Paginierung
- 487 - 495
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2018
- Titel
- Large-scale network functional interactions during distraction and reappraisal in remitted bipolar and unipolar patients.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 19
Datenquelle: PubMed
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