Deformation based morphometry study of longitudinal MRI changes in behavioral variant frontotemporal dementia
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Abstract
OBJECTIVE: To objectively quantify how cerebral volume loss could assist with clinical diagnosis and clinical trial design in the behavioural variant of frontotemporal dementia (bvFTD). METHODS: We applied deformation-based morphometric analyses with robust registration to precisely quantify the magnitude and pattern of atrophy in patients with bvFTD as compared to cognitively normal controls (CNCs), to assess the progression of atrophy over one year follow up and to generate clinical trial sample size estimates to detect differences for the structures most sensitive to change. This study included 203 subjects - 70 bvFTD and 133 CNCs - with a total of 482 timepoints from the Frontotemporal Lobar Degeneration Neuroimaging Initiative. RESULTS: Deformation based morphometry (DBM) revealed significant atrophy in the frontal lobes, insula, medial and anterior temporal regions bilaterally in bvFTD subjects compared to controls with outstanding subcortical involvement. We provide detailed information on regional changes per year. In both cross-sectional analysis and over a one-year follow-up period, ventricle expansion was the most prominent differentiator of bvFTD from controls and a sensitive marker of disease progression. CONCLUSIONS: Automated measurement of ventricular expansion is a sensitive and reliable marker of disease progression in bvFTD to be used in clinical trials for potential disease modifying drugs, as well as possibly to implement in clinical practice. Ventricular expansion measured with DBM provides the lowest published estimated sample size for clinical trial design to detect significant differences over one and two years.
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In bvFTD, greater gray and white matter atrophy was found in the medial and inferior lateral portions of the frontal lobes, dorsolateral prefrontal cortex, insula, basal ganglia, medial and anterior temporal regions bilaterally, and regions of brainstem and cerebellum.
“Greater gray and white matter atrophy were found in the medial and inferior lateral portions of the frontal lobes as well as dorsolateral prefrontal cortex, insula, basal ganglia, medial and anterior temporal regions bilaterally and regions of brainstem and cerebellum in bvFTD.”
From MRI data-driven algorithm for the diagnosis of behavioural variant frontotemporal dementia (2021) · cites this paper as [36]
In bvFTD, volume increase was shown in the ventricles and sulci, being more evident in the frontal horns and lateral sulcus.
“Correspondingly, volume increase was shown in the ventricles and sulci, being more evident in frontal horns and lateral sulcus.”
From MRI data-driven algorithm for the diagnosis of behavioural variant frontotemporal dementia (2021) · cites this paper as [36]
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Self-citationMRI data-driven algorithm for the diagnosis of behavioural variant frontotemporal dementia
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- Authors
- Manera, A. L., Dadar, M., Collins, D. L., & Ducharme, S.
- Affiliations
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Collins, D. Louis
- Venue
- NeuroImage: Clinical
- Publisher
- Elsevier BV
- Published
- 2019
- Volume
- 24
- Pages
- 102079
- ISSN
- 2213-1582 (ISSN-L)
- PMC
- PMC6879994
- OpenAlex
- W2985780005
- Cited by
- 65
- References
- 34
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 12 · 2023: 10 · 2022: 9 · 2021: 17 · 2020: 6 · 2019: 1
- FWCI
- 6.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage Clinical (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Fonds de Recherche du Québec - Santé
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- behavioral variant frontotemporal dementia, deformation-based morphometry, brain atrophy, ventriculomegaly, disease progression, frontal lobe atrophy, temporal lobe atrophy, insula, magnetic resonance imaging
- MeSH terms
- Aged, Atrophy, Brain, Cerebral Ventricles, Corpus Callosum, Female, Frontal Lobe, Gyrus Cinguli, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Organ Size, Case-Control Studies, Disease Progression, Frontotemporal Dementia, White Matter
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