Computationally derived anatomic subtypes of behavioral variant frontotemporal dementia show temporal stability and divergent patterns of longitudinal atrophy
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Introduction: Behavioral variant frontotemporal dementia (bvFTD) can be computationally divided into four distinct anatomic subtypes based on patterns of frontotemporal and subcortical atrophy. To more precisely predict disease trajectories of individual patients, the temporal stability of each subtype must be characterized. Methods: We investigated the longitudinal stability of the four previously identified anatomic subtypes in 72 bvFTD patients. We also applied a voxel‐wise mixed effects model to examine subtype differences in atrophy patterns across multiple timepoints. Results: Our results demonstrate the stability of the anatomic subtypes at baseline and over time. While they had common salience network atrophy, each subtype showed distinctive baseline and longitudinal atrophy patterns. Discussion: Recognizing these anatomically heterogeneous subtypes and their different patterns of atrophy progression in early bvFTD will improve disease course prediction in individual patients. Longitudinal volumetric predictions based on these anatomic subtypes may be used as a more accurate endpoint in treatment trials.
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Regional grey matter atrophy patterns are known to be heterogeneous in bvFTD, and a cross-sectional study suggested at least four distinct data-driven subtypes.
“However, since many years regional GM atrophy patterns are known to be heterogeneous in bvFTD, of which a cross-sectional study suggested at least four distinct (data-driven) subtypes (Kril et al., 2005; Ranasinghe et al., 2021).”
From The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials (2024) · cites this paper as Ranasinghe et al., 2021
In bvFTD, a cross-sectional study suggested at least four distinct data-driven subtypes.
“in bvFTD, of which a cross-sectional study suggested at least four distinct (data-driven) subtypes (Kril et al., 2005; Ranasinghe et al., 2021).”
From The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials (2024) · cites this paper as Ranasinghe et al., 2021
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References 43 · Cited by 13
Research works printed but not linked: 1
- [30]Whitwell JL, Przybelski SA, Weigand SD, et al. Distinct anatomical subtypes of the behavioural variant of frontotemporal dementia: a cluster analysis study. Brain. 2009; 132: 2932‐ 2946. 19762452 PMC2768663
- Authors
- Ranasinghe, K. G., Toller, G., Cobigo, Y., Chiang, K., Callahan, P., Eliazer, C., Kramer, J. H., Rosen, H. J., Miller, B. L., & Rankin, K. P.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Rankin, Katherine P.
- ORCID
- Venue
- Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
- Publisher
- Wiley
- Published
- 2021-01
- Volume
- 13
- Issue
- 1
- Pages
- e12183-e12183
- ISSN
- 2352-8729 (ISSN-L)
- PMC
- PMC8274310
- OpenAlex
- W3182362477
- Cited by
- 13
- References
- 43
- Citations by year
- 2025: 3 · 2024: 5 · 2023: 2 · 2022: 2 · 2021: 1
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Larry L. Hillblom Foundation (2019-A-013-SUP, A-013, 2014‐A‐004‐NET, 2015‐A‐034‐FEL)
- National Institutes of Health (2014-A-004-NET)
- National Institute on Aging (R01AG029577, RF1AG029577, K08AG058749, F32AG050434, K24AG045333, P01AG019724, P30AG062422, P50AG023501)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- behavioral variant frontotemporal dementia, temporal stability, longitudinal brain atrophy, salience network, subcortical atrophy, frontotemporal atrophy, disease progression prediction
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