Evidence map›Paper›PMID 40986096›Full record

ArticleJournal of neurology2025

Neuroanatomical normative modelling in frontotemporal lobar degeneration: higher heterogeneity in the behavioural variant.

Srijan Konwar, Nikolett Hunyadvari, Annalena Venneri, James H Cole, Martina Bocchetta, Frontotemporal Lobar Degeneration Neuroimaging Initiative and for the 4-Repeat Tauopathy Neuroimaging Initiative

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Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Srijan KonwarDepartment of Psychology, College of Health, Medicine and Life Sciences, Centre for Cognitive and Clinical Neuroscience, Brunel University of London, London, UK.
Nikolett HunyadvariDepartment of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Annalena VenneriDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
James H ColeDepartment of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Martina BocchettaDepartment of Psychology, College of Health, Medicine and Life Sciences, Centre for Cognitive and Clinical Neuroscience, Brunel University of London, London, UK. m.bocchetta@ucl.ac.uk.ORCID http://orcid.org/0000-0003-1814-5024
Frontotemporal Lobar Degeneration Neuroimaging Initiative and for the 4-Repeat Tauopathy Neuroimaging Initiative

Funding

The Four Repeat Tauopathy Neuroimaging InitiativeR01AG038791 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2010 to 2020
$18.1M
The Frontotemporal Lobar Degeneration Neuroimaging InitiativeR01AG032306 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2009 to 2013
$10.0M
Alzheimer Society (UK) AS-JF-19a-004-517Alzheimer's Research UK ARUK-PPG2023B-013BRUNEL RESEARCH INITIATIVE & ENTERPRISE FUND (BRIEF) 12796115European Union - NextGenerationEU PE0000006NIA NIH HHS R01 AG032306NIA NIH HHS R01 AG038791
6 · The paper itself

Abstract

introductionFrontotemporal lobar degeneration (FTLD) includes heterogenous diseases: behavioural variant frontotemporal dementia (bvFTD), primary progressive aphasias (PPA), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). We applied neuroanatomical normative modelling to quantify individual atrophy patterns and heterogeneity within and between FTLD forms.

methodsWe included 160 participants across FTLDNI and 4RTNI studies: controls (n = 15), bvFTD (n = 22), nfvPPA (n = 14), svPPA (n = 21), CBS (n = 43) and PSP (n = 45). Using cortical thickness and subcortical volumes from 3T MRIs, we applied normative modelling with a large healthy reference dataset (n = 58,836), further accounting for age, sex, and scanner. Outlier regions (z < - 1.96) were used to compute total outlier counts (tOC) and Hamming distances, capturing individual atrophy patterns and inter-subject dissimilarity.

resultsbvFTD, svPPA, CBS and PSP showed significantly higher cortical tOC than controls, with all groups showing higher subcortical tOC than controls, especially svPPA and PSP. bvFTD, svPPA, CBS and PSP had significantly higher cortical Hamming distance scores than controls, with higher scores in bvFTD and svPPA than nfvPPA and PSP. svPPA and PSP had significantly higher subcortical scores than controls and CBS. Greater disease severity (measured using the Clinical Dementia Rating-CDR for PSP and CBS, and the CDR® plus NACC-FTLD global scores for FTD variants) was associated with increased tOC and dissimilarity, highlighting the link between clinical progression and neuroanatomical heterogeneity.

conclusionsThe pronounced heterogeneity within and between FTLD subtypes (particularly in bvFTD) increases with disease progression and may reflect distinct underlying pathologies. This supports the development of subtype-specific biomarkers and emphasize the need for personalized diagnostic and therapeutic strategies.

Indexed as

Frontotemporal Lobar DegenerationAgedAphasia, Primary ProgressiveAtrophyCerebral CortexFemaleFrontotemporal DementiaHumansMagnetic Resonance ImagingMaleMiddle AgedSupranuclear Palsy, ProgressiveFrontotemporal lobar degenerationIndividual neuroimaging biomarkersMRINeuroanatomical normative modelling

Identifiers

PMID40986096
PMCPMC12457516

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.