ArticleNeuroImage. Clinical2019
Deformation based morphometry study of longitudinal MRI changes in behavioral variant frontotemporal dementia.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 74 citations in OpenAlex.
- Quantifying brain atrophy in Frontotemporal Dementia: a head-to-head comparison of neuroimaging techniques.medRxiv : the preprint server for health sciences · 2025Article
- Macro- and Microstructural Alterations in the Midbrain in Early Psychosis Associates with Clinical Symptom Scores.eNeuro · 2025Article
- Frontotemporal dementia subtyping using machine learning, multivariate statistics and neuroimaging.Brain communications · 2025Article
- Assessing the role of volumetric brain information in multiple sclerosis progression.Computational and structural biotechnology journal · 2025Article
- Biomechanical instability of the brain-CSF interface in hydrocephalus.Brain : a journal of neurology · 2024Review
- Deformation-based morphometry: a sensitive imaging approach to detect radiation-induced brain injury?Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Voxel- and tensor-based morphometry with machine learning techniques identifying characteristic brain impairment in patients with cervical spondylotic myelopathy.Frontiers in neurology · 2024Article
- VentRa: distinguishing frontotemporal dementia from psychiatric disorders.Brain communications · 2024Article
- The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials.Frontiers in aging neuroscience · 2024Article
- The neutral past: emotional (dys)regulation of autobiographical memory in behavioural variant frontotemporal dementia.Cognitive neuropsychiatry · 2023Article
- Modeling venous bias in resting state functional MRI metrics.Human brain mapping · 2023Article
- The use of hippocampal grading as a biomarker for preclinical and prodromal Alzheimer's disease.Human brain mapping · 2023Article
- Disrupted myelin lipid metabolism differentiates frontotemporal dementia caused by GRN and C9orf72 gene mutations.Acta neuropathologica communications · 2023Article
- Thalamic pathology in frontotemporal dementia: Predilection for specific nuclei, phenotype-specific signatures, clinical correlates, and practical relevance.Brain and behavior · 2023Review
- Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia.Brain : a journal of neurology · 2023Article
- Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference.Network neuroscience (Cambridge, Mass.) · 2023Article
- Longitudinal imaging highlights preferential basal ganglia circuit atrophy in Huntington's disease.Brain communications · 2023Article
- Social connections predict brain structure in a multidimensional free-ranging primate society.Science advances · 2022Article
- Morphological Changes of Frontal Areas in Male Individuals With HIV: A Deformation-Based Morphometry Analysis.Frontiers in neurology · 2022Article
- Deformation-based morphometry identifies deep brain structures protected by ocrelizumab.NeuroImage. Clinical · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo objectively quantify how cerebral volume loss could assist with clinical diagnosis and clinical trial design in the behavioural variant of frontotemporal dementia (bvFTD).
methodsWe 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.
resultsDeformation 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.
conclusionsAutomated 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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