University of Sussex
Browse

File(s) under permanent embargo

Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders

journal contribution
posted on 2023-06-09, 19:02 authored by Siemon C de Lange, Lianne H Scholtens, Leonard H van den Berg, Marco P Boks, Marco Bozzali, Wiepke Cahn, Udo Dannlowski, Sarah Durston, Elbert Geuze, Neeltje E M van Haren, Manon H J Hillegers, Kathrin Koch, María Ángeles Jurado, Matteo Mancini, Idoia Marqués-Iturria, Susanne Meinert, Roel A Ophoff, Tim J Reess, Jonathan Repple, René S Kahn, Martijn P van den Heuvel
Macroscale white matter pathways are the infrastructure for large-scale communication in the human brain and a prerequisite for healthy brain function. Disruptions in the brain's connectivity architecture play an important role in many psychiatric and neurological brain disorders. Here we show that connections important for global communication and network integration are particularly vulnerable to brain alterations across multiple brain disorders. We report on a cross-disorder connectome study comprising in total 1,033 patients and 1,154 matched controls across 8 psychiatric and 4 neurological disorders. We extracted disorder connectome fingerprints for each of these 12 disorders and combined them into a 'cross-disorder disconnectivity involvement map' describing the level of cross-disorder involvement of each white matter pathway of the human brain network. Network analysis revealed connections central to global network communication and integration to display high disturbance across disorders, suggesting a general cross-disorder involvement and the importance of these pathways in normal function.

History

Publication status

  • Published

File Version

  • Submitted version

Journal

Nature Human Behaviour

ISSN

2397-3374

Publisher

Nature Research

Issue

9

Volume

3

Page range

988-998

Department affiliated with

  • BSMS Neuroscience Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2019-10-01

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC