TY  - CONF
AU  - Tsvetanov, Kamen A
AU  - Jones, P Simon
AU  - Malpetti, Maura
AU  - Rittman, Timothy
AU  - Bouzigues, Arabella
AU  - van Swieten, John
AU  - Jiskoot, Lize
AU  - Seelaar, Harro
AU  - Borroni, Barbara
AU  - Premi, Enrico
AU  - Sanchez-Valle, Raquel
AU  - Moreno, Fermin
AU  - Laforce, Robert
AU  - Graff, Caroline
AU  - Synofzik, Matthis
AU  - Galimberti, Daniela
AU  - Masellis, Mario
AU  - Tartaglia, Carmela
AU  - Finger, Elizabeth
AU  - Vandenberghe, Rik
AU  - de Mendonça, Alexandre
AU  - Tagliavini, Fabrizio
AU  - Santana, Isabel
AU  - Ducharme, Simon
AU  - Butler, Christopher
AU  - Gerhard, Alexander
AU  - Levin, Johannes
AU  - Otto, Markus
AU  - Sorbi, Sandro
AU  - Russell, Lucy L
AU  - Rohrer, Jonathan D
AU  - Rowe, James B
TI  - Structure‐function decoupling in genetic frontotemporal dementia
JO  - Alzheimer's and dementia
VL  - 21
IS  - Suppl 2
SN  - 1552-5260
M1  - DZNE-2025-01476
SP  - e100438
PY  - 2025
AB  - 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.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.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.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.
T2  - Alzheimer’s Association International Conference
CY  - 27 Jul 2025 - 31 Jul 2025, Toronto (Canada)
Y2  - 27 Jul 2025 - 31 Jul 2025
M2  - Toronto, Canada
KW  - Humans
KW  - Male
KW  - Female
KW  - Frontotemporal Dementia: genetics
KW  - Frontotemporal Dementia: diagnostic imaging
KW  - Frontotemporal Dementia: physiopathology
KW  - Frontotemporal Dementia: pathology
KW  - Middle Aged
KW  - Magnetic Resonance Imaging
KW  - Connectome
KW  - Biomarkers
KW  - Brain: physiopathology
KW  - Brain: diagnostic imaging
KW  - Brain: pathology
KW  - Aged
KW  - Disease Progression
KW  - Mutation: genetics
KW  - Adult
KW  - Cohort Studies
KW  - Neural Pathways: physiopathology
KW  - Neural Pathways: diagnostic imaging
KW  - Diffusion Magnetic Resonance Imaging
KW  - Biomarkers (NLM Chemicals)
LB  - PUB:(DE-HGF)1 ; PUB:(DE-HGF)16
C6  - pmid:41447690
C2  - pmc:PMC12740290
DO  - DOI:10.1002/alz70856_100438
UR  - https://pub.dzne.de/record/283069
ER  -