Identification of neurobehavioural symptom groups based on shared brain mechanisms

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • King's College London (KCL)
  • Max Planck Institute of Psychiatry
  • Université de Rennes 1
  • Radboud University Nijmegen
  • Heidelberg University 
  • Trinity College Dublin
  • University of Hamburg
  • Stanford University
  • University of Montreal
  • University of Mannheim
  • French Alternative Energies and Atomic Energy Commission (CEA)
  • University of Vermont
  • University of Nottingham
  • Department of Dermatology, Allergy and Venereology
  • Physikalisch-Technische Bundesanstalt
  • Université Paris-Saclay
  • Assistance publique – Hôpitaux de Paris
  • Tampere University Hospital
  • University of Göttingen
  • National Institutes of Health (NIH)
  • University of Oslo
  • Diakonhjemmet Hospital
  • Karolinska Institutet
  • INSERM - Institut national de la santé et de la recherche médicale
  • University College London
  • University of Cambridge
  • Leibniz Institute for Neurobiology
  • Fudan University
  • Berlin Institute of Health at Charité

Abstract

Most psychopathological disorders develop in adolescence. The biological basis for this development is poorly understood. To enhance diagnostic characterization and develop improved targeted interventions, it is critical to identify behavioural symptom groups that share neural substrates. We ran analyses to find relationships between behavioural symptoms and neuroimaging measures of brain structure and function in adolescence. We found two symptom groups, consisting of anxiety/depression and executive dysfunction symptoms, respectively, that correlated with distinct sets of brain regions and inter-regional connections, measured by structural and functional neuroimaging modalities. We found that the neural correlates of these symptom groups were present before behavioural symptoms had developed. These neural correlates showed case–control differences in corresponding psychiatric disorders, depression and attention deficit hyperactivity disorder in independent clinical samples. By characterizing behavioural symptom groups based on shared neural mechanisms, our results provide a framework for developing a classification system for psychiatric illness that is based on quantitative neurobehavioural measures.

Details

Original languageEnglish
Pages (from-to)1306-1318
Number of pages13
JournalNature human behaviour
Volume3
Issue number12
Publication statusPublished - 1 Dec 2019
Peer-reviewedYes

External IDs

PubMed 31591521
ORCID /0000-0001-5398-5569/work/161890732