Cognitive variability in bipolar I disorder: A cluster-analytic approach informed by resting-state data

Publication type:
Journal article
Metadata:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000480665300010&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1016/j.neuropharm.2019.03.028
eISSN
1873-7064
Externe Identifier
  • Clarivate Analytics Document Solution ID: IQ3QD
  • PubMed Identifier: 30914304
ISSN
0028-3908
Zeitschrift
NEUROPHARMACOLOGY
Schlüsselwörter
  • Bipolar I disorder
  • Cognitive profile
  • Cluster analysis
  • Executive functions
  • Resting-state
Artikelnummer
ARTN 107585
Datum der Veröffentlichung
2019
Status
Published
Titel
Cognitive variability in bipolar I disorder: A cluster-analytic approach informed by resting-state data
Sub types
  • Article
Ausgabe der Zeitschrift
156

Data source: Web of Science (Lite)

Other metadata sources:
Autoren
DOI
10.1016/j.neuropharm.2019.03.028
ISSN
0028-3908
Zeitschrift
Neuropharmacology
Sprache
en
Artikelnummer
107585
Paginierung
107585 - 107585
Datum der Veröffentlichung
2019
Status
Published
Herausgeber
Elsevier BV
Herausgeber URL
http://dx.doi.org/10.1016/j.neuropharm.2019.03.028
Datum der Datenerfassung
2020
Titel
Cognitive variability in bipolar I disorder: A cluster-analytic approach informed by resting-state data
Ausgabe der Zeitschrift
156

Data source: Crossref

Abstract
<h4>Background</h4>While the presence of cognitive performance deficits in bipolar disorder I (BD-I) is well established, there is no consensus about which cognitive abilities are affected. Heterogeneous phenotypes displayed in BD-I further suggest the existence of subgroups among the disorder. The present study sought to identify different cognitive profiles among BD-I patients as well as potentially underlying neuronal network changes.<h4>Methods</h4>54 euthymic BD-I patients underwent cognitive testing and resting state neuroimaging. Hierarchical cluster-analysis was performed on executive function scores of bipolar patients. The derived clusters were compared against 54 age-, gender- and IQ-matched healthy controls (HC) to facilitate the interpretation of results. Further, resting state network properties were compared to identify differences probably underlying cognitive profiles.<h4>Results</h4>A three-cluster solution emerged. Cluster 1 (n = 22) was characterized by deficits in cognitive flexibility and motor inhibition, cluster 2 (n = 12) displayed impulsive decision-making, while cluster 3 (n = 20) showed good visuospatial planning. Weaker connections in cluster 1 compared to cluster 2 were found between regions activated during tasks cluster 1 showed deficits on. Cluster 3 had a higher modularity than cluster 2, which correlated positively with problem solving performance and risk-taking in this cluster.<h4>Conclusion</h4>Obtained clusters showed distinct cognitive profiles, characterized by deficits and strengths, most of which remained precluded in a general comparison. Weaker interregional connections and separated subnetworks might underly behavioral deficits and strengths, respectively. The findings help explain the phenotypic heterogeneity observed in BD-I. This article is part of the Special Issue entitled 'Current status of the neurobiology of aggression and impulsivity'.
Addresses
  • Emotion Regulation and Impulse Control Group, Department of Psychiatry and Psychotherapy, Johannes Gutenberg-University Mainz, Germany; Department of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg- University Mainz, Germany.
Autoren
DOI
10.1016/j.neuropharm.2019.03.028
eISSN
1873-7064
Externe Identifier
  • PubMed Identifier: 30914304
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: SFB636/C6
  • Deutsche Forschungsgemeinschaft: WE3638/3-1
Open access
false
ISSN
0028-3908
Zeitschrift
Neuropharmacology
Schlüsselwörter
  • Brain
  • Neural Pathways
  • Humans
  • Magnetic Resonance Imaging
  • Brain Mapping
  • Cluster Analysis
  • Impulsive Behavior
  • Cognition
  • Bipolar Disorder
  • Neuropsychological Tests
  • Adult
  • Female
  • Male
  • Executive Function
Sprache
eng
Medium
Print-Electronic
Online publication date
2019
Paginierung
107585
Datum der Veröffentlichung
2019
Status
Published
Datum der Datenerfassung
2019
Titel
Cognitive variability in bipolar I disorder: A cluster-analytic approach informed by resting-state data.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
156

Data source: Europe PubMed Central

Abstract
BACKGROUND: While the presence of cognitive performance deficits in bipolar disorder I (BD-I) is well established, there is no consensus about which cognitive abilities are affected. Heterogeneous phenotypes displayed in BD-I further suggest the existence of subgroups among the disorder. The present study sought to identify different cognitive profiles among BD-I patients as well as potentially underlying neuronal network changes. METHODS: 54 euthymic BD-I patients underwent cognitive testing and resting state neuroimaging. Hierarchical cluster-analysis was performed on executive function scores of bipolar patients. The derived clusters were compared against 54 age-, gender- and IQ-matched healthy controls (HC) to facilitate the interpretation of results. Further, resting state network properties were compared to identify differences probably underlying cognitive profiles. RESULTS: A three-cluster solution emerged. Cluster 1 (n = 22) was characterized by deficits in cognitive flexibility and motor inhibition, cluster 2 (n = 12) displayed impulsive decision-making, while cluster 3 (n = 20) showed good visuospatial planning. Weaker connections in cluster 1 compared to cluster 2 were found between regions activated during tasks cluster 1 showed deficits on. Cluster 3 had a higher modularity than cluster 2, which correlated positively with problem solving performance and risk-taking in this cluster. CONCLUSION: Obtained clusters showed distinct cognitive profiles, characterized by deficits and strengths, most of which remained precluded in a general comparison. Weaker interregional connections and separated subnetworks might underly behavioral deficits and strengths, respectively. The findings help explain the phenotypic heterogeneity observed in BD-I. This article is part of the Special Issue entitled 'Current status of the neurobiology of aggression and impulsivity'.
Date of acceptance
2019
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/30914304
DOI
10.1016/j.neuropharm.2019.03.028
eISSN
1873-7064
Zeitschrift
Neuropharmacology
Schlüsselwörter
  • Bipolar I disorder
  • Cluster analysis
  • Cognitive profile
  • Executive functions
  • Resting-state
  • Adult
  • Bipolar Disorder
  • Brain
  • Brain Mapping
  • Cluster Analysis
  • Cognition
  • Executive Function
  • Female
  • Humans
  • Impulsive Behavior
  • Magnetic Resonance Imaging
  • Male
  • Neural Pathways
  • Neuropsychological Tests
Sprache
eng
Country
England
Paginierung
107585
PII
S0028-3908(19)30107-8
Datum der Veröffentlichung
2019
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2020
Titel
Cognitive variability in bipolar I disorder: A cluster-analytic approach informed by resting-state data.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
156

Data source: PubMed

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