Cristin-resultat-ID: 1588531
Sist endret: 30. januar 2019, 16:25
NVI-rapporteringsår: 2018
Resultat
Vitenskapelig artikkel
2018

Data-driven clustering reveals a link between symptoms and functional brain connectivity in depression

Bidragsytere:
  • Luigi Angelo Maglanoc
  • Nils Inge Landrø
  • Rune Jonassen
  • Tobias Kaufmann
  • Aldo Còrdova Palomera
  • Eva Hilland
  • mfl.

Tidsskrift

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
ISSN 2451-9022
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2018
Volum: 4
Hefte: 1
Sider: 16 - 26
Open Access

Importkilder

Scopus-ID: 2-s2.0-85049314185

Beskrivelse Beskrivelse

Tittel

Data-driven clustering reveals a link between symptoms and functional brain connectivity in depression

Sammendrag

BACKGROUND: Depression is a complex disorder with large interindividual variability in symptom profiles that often occur alongside symptoms of other psychiatric domains, such as anxiety. A dimensional and symptom-based approach may help refine the characterization of depressive and anxiety disorders and thus aid in establishing robust biomarkers. We use resting-state functional magnetic resonance imaging to assess the brain functional connectivity correlates of a symptom-based clustering of individuals. METHODS: We assessed symptoms using the Beck Depression and Beck Anxiety Inventories in individuals with or without a history of depression (N = 1084) and high-dimensional data clustering to form subgroups based on symptom profiles. We compared dynamic and static functional connectivity between subgroups in a subset of the total sample (n = 252). RESULTS: We identified five subgroups with distinct symptom profiles, which cut across diagnostic boundaries with different total severity, symptom patterns, and centrality. For instance, inability to relax, fear of the worst, and feelings of guilt were among the most severe symptoms in subgroups 1, 2, and 3, respectively. The distribution of individuals was 32%, 25%, 22%, 10%, and 11% in subgroups 1 to 5, respectively. These subgroups showed evidence of differential static brain-connectivity patterns, in particular comprising a frontotemporal network. In contrast, we found no significant associations with clinical sum scores, dynamic functional connectivity, or global connectivity. CONCLUSIONS: Adding to the pursuit of individual-based treatment, subtyping based on a dimensional conceptualization and unique constellations of anxiety and depression symptoms is supported by distinct patterns of static functional connectivity in the brain.

Bidragsytere

Luigi Maglanoc

Bidragsyterens navn vises på dette resultatet som Luigi Angelo Maglanoc
  • Tilknyttet:
    Forfatter
    ved Psykologisk institutt ved Universitetet i Oslo
  • Tilknyttet:
    Forfatter
    ved NORMENT part UiO ved Universitetet i Oslo
Aktiv cristin-person

Nils Inge Landrø

  • Tilknyttet:
    Forfatter
    ved Psykologisk institutt ved Universitetet i Oslo
  • Tilknyttet:
    Forfatter
    ved Voksenpsykiatrisk avdeling Vinderen ved Diakonhjemmet sykehus
Aktiv cristin-person

Rune Jonassen

  • Tilknyttet:
    Forfatter
    ved Psykologisk institutt ved Universitetet i Oslo

Tobias Kaufmann

  • Tilknyttet:
    Forfatter
    ved NORMENT part UiO ved Universitetet i Oslo

Aldo Còrdova Palomera

  • Tilknyttet:
    Forfatter
    ved Stanford University
  • Tilknyttet:
    Forfatter
    ved NORMENT part UiO ved Universitetet i Oslo
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