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Structure-function decoupling in genetic frontotemporal dementia

  • Kamen A. Tsvetanov*
  • , P. Simon Jones
  • , Maura Malpetti
  • , Genetic Frontotemporal Initiative (GENFI)
  • , Timothy Rittman
  • , Arabella Bouzigues
  • , John van Swieten
  • , Lize Jiskoot
  • , Harro Seelaar
  • , Barbara Borroni
  • , Enrico Premi
  • , Raquel Sanchez-Valle
  • , Fermin Moreno
  • , Robert Laforce
  • , Caroline Graff
  • , Matthis Synofzik
  • , Daniela Galimberti
  • , Mario Masellis
  • , Carmela Tartaglia
  • , Elizabeth Finger
  • Rik Vandenberghe, Alexandre de Mendonça, Fabrizio Tagliavini, Isabel Santana, Simon Ducharme, Christopher Butler, Alexander Gerhard, Johannes Levin, Markus Otto, Sandro Sorbi, Lucy L. Russell, Jonathan D. Rohrer, James B. Rowe
*Corresponding author for this work
  • University of Cambridge
  • University of Barcelona
  • University College London
  • University of Brescia
  • Hospital Clinic de Barcelona
  • Hospital Universitario Donostia
  • CHU de Québec-Université Laval
  • Karolinska Institutet
  • University of Tübingen
  • University of Milan
  • IRCCS Fondazione Ca'Granda – Ospedale Maggiore Policlinico - Milano
  • University of Toronto
  • Toronto Western Hospital
  • Western University
  • University Hospitals Leuven
  • KU Leuven
  • Faculdade de Medicina de Lisboa
  • IRCCS Fondazione Istituto Nazionale per lo studio e la cura dei tumori - Milano
  • University of Coimbra
  • McGill University
  • McConnell Brain Imaging Centre
  • University of Oxford
  • University of Manchester
  • Department of Geriatric Medicine
  • Ludwig Maximilian University of Munich
  • University Hospital Ulm
  • IRCCS Fondazione Don Carlo Gnocchi - Milano
  • University of Florence
  • MRC Cognition and Brain Sciences Unit

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

BACKGROUND: 

Functional network integrity is important for maintaining cognitive performance during the 10-20 year presymptomatic period of frontotemporal dementia (FTD), conferring resilience to advancing neuropathology and atrophy. The extent to which functional integrity relies on preserved structural connectivity is unclear. Here, we test the relationship between functional connectivity and structural connectivity, termed structure-function coupling, against genetic risk for FTD and disease progression. 

METHOD: 

We studied 56 symptomatic and 165 pre-symptomatic FTD-mutation carriers, and 141 family members without mutations, from the GENFI cohort. Diffusion weighted imaging and functional magnetic resonance imaging (Siemens MR platforms) were acquired and analysed using established approaches to quantify participant-level structural and functional connectomes (Figure 1-(1)). Connectomes were defined in the Brainnetome Atlas and re-mapped onto a subcortical network and seven resting-state networks based on the Yeo Networks (Figure 1-(2)). An inter-subject regularized canonical correlation analysis (CCA) with permutation-based cross-validation was used to jointly analyse the structural and functional connectomes (Figure 1-(3-4)). Second-level analysis with robust multiple linear regression models tested for differences between non-carriers, pre-symptomatic carriers and symptomatic carriers in the strength of association between structural and functional CCA subject scores. Age, sex, head motion and scanner site were included as covariates. 

RESULT: 

Canonical correlation analysis identified significant components linking structural and functional connectivity. The first component (r=0.656, p <0.001) reflected a structural connectivity pattern with high within- and between-networks loadings (Figure 1-(5)) with strong within-networks functional connectivity and weak-to-negative between-network functional connectivity (Figure 1-(6)). This component associated structural integrity with function segregation, whereby individuals with high structural connectivity within and between networks exhibit greater functional network segregation as shown by strong within-network functional connectivity and weak between network connectivity. The strength of this structure-function coupling was greater for non-carriers compared to pre-symptomatic carriers (Figure 1-(7)). Symptomatic carriers showed minimal relationship between structural and functional scores, indicating structure-function decoupling, consistent with the hypothesis that cognitive decline is triggered by critical decoupling of previously synergistic neural systems.

CONCLUSION: 

Our findings demonstrate progressive de-coupling between structural connectivity and functional segregation over the course of genetic frontotemporal dementia. These results have implications for designing pre-symptomatic disease-modifying 'preventative' trials, supported by imaging-based surrogate markers of neural system dynamics.

Original languageEnglish
Article numbere100438
JournalAlzheimer's & dementia : the journal of the Alzheimer's Association
Volume21
Issue numberS2
DOIs
Publication statusPublished - Dec 2025

Bibliographical note

Publisher Copyright:
© 2025 The Alzheimer's Association. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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