Variability in Brain Structure and Function Reflects Lack of Peer Support

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Matthias Schurz - , Radboud University Nijmegen, University of Oxford, University of Innsbruck (Autor:in)
  • Lucina Q Uddin - , University of Miami (Autor:in)
  • Philipp Kanske - , Professur für Klinische Psychologie und Behaviorale Neurowissenschaft, Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)
  • Claus Lamm - , Universität Wien (Autor:in)
  • Jérôme Sallet - , University of Oxford, Université de Lyon (Autor:in)
  • Boris C Bernhardt - , McGill University (Autor:in)
  • Rogier B Mars - , Radboud University Nijmegen, University of Oxford (Autor:in)
  • Danilo Bzdok - , McGill University (Autor:in)

Abstract

Humans are a highly social species. Complex interactions for mutual support range from helping neighbors to building social welfare institutions. During times of distress or crisis, sharing life experiences within one's social circle is critical for well-being. By translating pattern-learning algorithms to the UK Biobank imaging-genetics cohort (n = ~40 000 participants), we have delineated manifestations of regular social support in multimodal whole-brain measurements. In structural brain variation, we identified characteristic volumetric signatures in the salience and limbic networks for high- versus low-social support individuals. In patterns derived from functional coupling, we also located interindividual differences in social support in action-perception circuits related to binding sensory cues and initiating behavioral responses. In line with our demographic profiling analysis, the uncovered neural substrates have potential implications for loneliness, substance misuse, and resilience to stress.

Details

OriginalspracheEnglisch
Seiten (von - bis)4612-4627
Seitenumfang16
FachzeitschriftCerebral cortex (New York, N.Y. : 1991)
Jahrgang31
Ausgabenummer10
PublikationsstatusVeröffentlicht - Okt. 2021
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC8408465
Scopus 85116111623

Schlagworte

Schlagwörter

  • Bayesian hierarchical modeling, machine learning, population neuroscience, salience network, social brain