IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-60556-0.html
   My bibliography  Save this article

Cell-specific mechanisms drive connectivity across the time course of Huntington’s disease

Author

Listed:
  • Carlos Estevez-Fraga

    (University College London)

  • Isaac Sebenius

    (University of Cambridge
    University of Cambridge)

  • Justine Y. Hansen

    (McGill University)

  • Benjamin Hänisch

    (University Hospital Tübingen
    German Centre for Mental Health
    Max Planck School of Cognition)

  • Paul Zeun

    (Southampton General Hospital)

  • Rachael I. Scahill

    (University College London)

  • Sarah Gregory

    (University College London)

  • Eilanoir B. Johnson

    (Department for Science Innovation and Technology)

  • Edward J. Wild

    (University College London)

  • Lauren M. Byrne

    (University College London)

  • Alexandra Durr

    (Pitié-Salpêtrière University Hospital)

  • Bernhard Landwehrmeyer

    (University of Ulm)

  • Blair R. Leavitt

    (University of British Columbia
    UBC Children’s Hospital)

  • Bratislav Misic

    (McGill University)

  • Sofie Louise Valk

    (Research Centre Jülich
    Heinrich Heine University Düsseldorf
    Max Planck Institute for Human Cognitive and Brain Sciences)

  • Geraint Rees

    (University College London)

  • Sarah J. Tabrizi

    (University College London)

  • Peter McColgan

    (University College London
    F. Hoffmann-La Roche Ltd.)

Abstract

Hyperconnectivity in functional brain networks occurs decades before disease onset in Huntington’s disease. However, the biological mechanisms remain unknown. We investigate connectivity in Huntington’s disease using Morphometric INverse Divergence (MIND) in three Huntington’s disease cohorts (N = 512) spanning from two decades before the onset of symptoms through to functional decline. Here, we identify stage-specific profiles, with hyperconnectivity 22 years from predicted motor onset, progressing to hypoconnectivity through the late premanifest and manifest stages, showing that hypoconnectivity is correlated with neurofilament light concentrations. To understand the biological mechanisms, we investigate associations with cortical organization principles including disease epicentres and cell-autonomous systems, in particular neurotransmitter distribution. The contribution from disease epicentres is limited to late premanifest while cell-autonomous associations are demonstrated across the Huntington’s disease lifespan. Specific relationships to cholinergic and serotoninergic systems localized to granular and infragranular cortical layers are identified, consistent with serotoninergic layer 5a neuronal vulnerability previously identified in post-mortem brains.

Suggested Citation

  • Carlos Estevez-Fraga & Isaac Sebenius & Justine Y. Hansen & Benjamin Hänisch & Paul Zeun & Rachael I. Scahill & Sarah Gregory & Eilanoir B. Johnson & Edward J. Wild & Lauren M. Byrne & Alexandra Durr , 2025. "Cell-specific mechanisms drive connectivity across the time course of Huntington’s disease," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60556-0
    DOI: 10.1038/s41467-025-60556-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-60556-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-60556-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60556-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.