Intrinsic network connectivity patterns underlying specific dimensions of impulsiveness in healthy young adults

• Verfasst von: Kubera, Katharina Maria [VerfasserIn]
• Verfasst von: Hirjak, Dusan [VerfasserIn]
• Verfasst von: Wolf, Nadine D. [VerfasserIn]
• Verfasst von: Thomann, Philipp [VerfasserIn]
• Verfasst von: Wolf, Robert Christian [VerfasserIn]
• Titel: Intrinsic network connectivity patterns underlying specific dimensions of impulsiveness in healthy young adults
• Verf.angabe: Katharina M. Kubera, Dusan Hirjak, Nadine D. Wolf, Fabio Sambataro, Philipp A. Thomann, R. Christian Wolf
• E-Jahr: 2018
• Jahr: May 2018
• Umfang: 11 S.
• Fussnoten: Published online: 3 November 2017 ; Gesehen am 27.11.2018
• Titel Quelle: Enthalten in: Brain topography
• Ort Quelle: Dordrecht [u.a.] : Springer Science + Business Media B.V, 1988
• Jahr Quelle: 2018
• Band/Heft Quelle: 31(2018), 3, Seite 477-487
• ISSN Quelle: 1573-6792
• DOI: doi:10.1007/s10548-017-0604-9
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Barratt Impulsiveness Scale
• Sach-SW: BIS
• Sach-SW: fMRI
• Sach-SW: Functional connectivity
• Sach-SW: Impulsivity
• Sach-SW: Resting-state
• K10plus-PPN: 1584507772

Abstract

Impulsiveness is a central human personality trait and of high relevance for the development of several mental disorders. Impulsiveness is a multidimensional construct, yet little is known about dimension-specific neural correlates. Here, we address the question whether motor, attentional and non-planning components, as measured by the Barratt Impulsiveness Scale (BIS-11), are associated with distinct or overlapping neural network activity. In this study, we investigated brain activity at rest and its relationship to distinct dimensions of impulsiveness in 30 healthy young adults (m/f = 13/17; age mean/SD = 26.4/2.6 years) using resting-state functional magnetic resonance imaging at 3T. A spatial independent component analysis and a multivariate model selection strategy were used to identify systems loading on distinct impulsivity domains. We first identified eight networks for which we had a-priori hypotheses. These networks included basal ganglia, cortical motor, cingulate and lateral prefrontal systems. From the eight networks, three were associated with impulsiveness measures (p < 0.05, FDR corrected). There were significant relationships between right frontoparietal network function and all three BIS domains. Striatal and midcingulate network activity was associated with motor impulsiveness only. Within the networks regionally confined effects of age and gender were found. These data suggest distinct and overlapping patterns of neural activity underlying specific dimensions of impulsiveness. Motor impulsiveness appears to be specifically related to striatal and midcingulate network activity, in contrast to a domain-unspecific right frontoparietal system. Effects of age and gender have to be considered in young healthy samples.