FTD spectrum: Neuroimaging across the FTD spectrum

Whitwell, Jennifer L.

doi:10.1016/bs.pmbts.2019.05.009

Cited by 53Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsAmyotrophic Lateral Sclerosis Research

FTD spectrum: Neuroimaging across the FTD spectrum

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Whitwell, Jennifer L.·2019·Progress in Molecular Biology and Translational Science

DOI 10.1016/bs.pmbts.2019.05.009PMC PMC7153045

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Abstract

Frontotemporal dementia is a complex and heterogeneous neurodegenerative disease that encompasses many clinical syndromes, pathological diseases, and genetic mutations. Neuroimaging has played a critical role in our understanding of the underlying pathophysiology of frontotemporal dementia and provided biomarkers to aid diagnosis. Early studies defined patterns of neurodegeneration and hypometabolism associated with the clinical, pathological and genetic aspects of frontotemporal dementia, with more recent studies highlighting how the breakdown of structural and functional brain networks define frontotemporal dementia. Molecular positron emission tomography ligands allowing the in vivo imaging of tau proteins have also provided important insights, although more work is needed to understand the biology of the currently available ligands.

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Subjects with svPPA exhibited distinct patterns of disconnection in functional and structural connectivity in the temporal lobe.
“The subjects with svPPA exhibited distinct patterns of disconnection in functional (Agosta et al., 2014; Popal et al., 2020; Whitwell, 2019) and structural (Agosta et al., 2012; Iaccarino et al., 2015; Zhang et al., 2013) connectivity in the temporal lobe.”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Whitwell, 2019
Subjects with nfvPPA showed primary alterations in speech-language regions with a predominance in the left hemisphere.
“The primary alterations in the subjects with nfvPPA were observed in speech-language regions (Mandelli et al., 2016, 2018), with a predominance in the left hemisphere (Whitwell, 2019).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Whitwell, 2019
Models using both atlases prioritized hallmark-affected areas for FTD, such as inferior and dorsolateral prefrontal cortex, anterior cingulum, middle, and superior temporal areas.
“Models using both atlases prioritized hallmark-affected areas for FTD, such as inferior and dorsolateral prefrontal cortex, anterior cingulum, middle, and superior temporal areas (Filippi et al., 2013; Meeter et al., 2017; Whitwell, 2019; Whitwell et al., 2011b; Zhang et al., 2009).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Whitwell, 2019

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Longitudinal Rates of Lobar Atrophy in Frontotemporal Dementia, Semantic Dementia, and Alzheimer's Disease
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Frontotemporal dementia with the V337M MAPT mutation: Tau-PET and pathology correlations
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Gray and white matter changes in presymptomatic genetic frontotemporal dementia: a longitudinal MRI study
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MRI signatures of brain macrostructural atrophy and microstructural degradation in frontotemporal lobar degeneration subtypes
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Disrupted brain connectome in semantic variant of primary progressive aphasia
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Brain Magnetic Resonance Imaging Structural Changes in a Pedigree of Asymptomatic Progranulin Mutation Carriers
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Cognition and gray and white matter characteristics of presymptomatic C9orf72 repeat expansion
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Diagnostic Accuracy of MRI and Additional [ 18 F]FDG-PET for Behavioral Variant Frontotemporal Dementia in Patients with Late Onset Behavioral Changes
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Disruption of large-scale neural networks in non-fluent/agrammatic variant primary progressive aphasia associated with frontotemporal degeneration pathology
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Gray Matter Atrophy in Behavioral Variant Frontotemporal Dementia: A Meta-Analysis of Voxel-Based Morphometry Studies
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The neural correlates and clinical characteristics of psychosis in the frontotemporal dementia continuum and the C9orf72 expansion
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[18F]AV-1451 binding in vivo mirrors the expected distribution of TDP-43 pathology in the semantic variant of primary progressive aphasia
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Voxel-Based Morphometry in Frontotemporal Lobar Degeneration With Ubiquitin-Positive Inclusions With and Without Progranulin Mutations
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Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease
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Distinct regional anatomic and functional correlates of neurodegenerative apraxia of speech and aphasia: An MRI and FDG-PET study
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Whole‐brain white matter disruption in semantic and nonfluent variants of primary progressive aphasia
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Region-Specific Decline of Cerebral Glucose Metabolism in Patients with Frontotemporal Dementia: A Prospective 18F-FDG-PET Study
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Dissociating behavioral disorders in early dementia—An FDG-PET study
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Longitudinal Patterns of Regional Change on Volumetric MRI in Frontotemporal Lobar Degeneration
Whitwell, J. L., Anderson, V. M., Scahill, R. I., Rossor, M. N., & Fox, N. C. (2004) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000077160 · Cited by 77 · see citing works
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Does TDP-43 type confer a distinct pattern of atrophy in frontotemporal lobar degeneration?
Whitwell, J. L., Jack, C. R., Parisi, J. E., Senjem, M. L., Knopman, D. S., Boeve, B. F., Rademakers, R., Baker, M., Petersen, R. C., Dickson, D. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e31820203c2 · Cited by 77 · see citing works
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Music Recognition in Frontotemporal Lobar Degeneration and Alzheimer Disease
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Salience Network Resting-State Activity: Prediction of Frontotemporal Dementia Progression
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Brain Network Organization and Social Executive Performance in Frontotemporal Dementia
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Patterns of Striatal Degeneration in Frontotemporal Dementia
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In vivo 18 F-AV-1451 tau PET signal in MAPT mutation carriers varies by expected tau isoforms
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Neuroimaging in frontotemporal lobar degeneration—predicting molecular pathology
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Measuring disease progression in frontotemporal lobar degeneration: A clinical and MRI study
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Longitudinal Grey and White Matter Changes in Frontotemporal Dementia and Alzheimer’s Disease
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Frontal asymmetry in behavioral variant frontotemporal dementia: clinicoimaging and pathogenetic correlates
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An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease
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Imaging Signatures of Molecular Pathology in Behavioral Variant Frontotemporal Dementia
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Structural and functional brain signatures of C9orf72 in motor neuron disease
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Symmetric corticobasal degeneration (S-CBD)
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Midbrain atrophy is not a biomarker of progressive supranuclear palsy pathology
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Different FDG-PET metabolic patterns at single-subject level in the behavioral variant of fronto-temporal dementia
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Thalamic atrophy in frontotemporal dementia — Not just a C9orf72 problem
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Presymptomatic white matter integrity loss in familial frontotemporal dementia in the GENFI cohort: A cross‐sectional diffusion tensor imaging study
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Voxel‐based morphometry in patients with obsessive‐compulsive behaviors in behavioral variant frontotemporal dementia
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Structural neuroanatomy of face processing in frontotemporal lobar degeneration
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Longitudinal White matter change in frontotemporal dementia subtypes and sporadic late onset Alzheimer’s disease
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More Atrophy of Deep Gray Matter Structures in Frontotemporal Dementia Compared to Alzheimer's Disease
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Double dissociation in the anatomy of socioemotional disinhibition and executive functioning in dementia.
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[114]Filippi M, Agosta F, Scola E, Functional network connectivity in the behavioral variant of frontotemporal dementia. Cortex. 2013; 49(9): 2389– 2401. 23164495
[116]Farb NA, Grady CL, Strother S, Abnormal network connectivity in frontotemporal dementia: evidence for prefrontal isolation. Cortex. 2013; 49(7): 1856– 1873. 23092697
[212]Whitwell JL, Jack CR Jr., Parisi JE, Imaging signatures of molecular pathology in behavioral variant frontotemporal dementia. J Mol Neurosci. 2011; 45(3): 372– 378. 21556732 PMC3401589

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Authors: Whitwell, J. L.
Affiliations: Mayo Clinic (US)
Corresponding author: Whitwell, Jennifer L.
ORCID: Whitwell, Jennifer L.
Venue: Progress in Molecular Biology and Translational Science
Publisher: Elsevier
Published: 2019
Volume: 165
Pages: 187-223
ISSN: 1877-1173 (ISSN-L)
DOI: 10.1016/bs.pmbts.2019.05.009
PMC: PMC7153045
OpenAlex: W2952889621
Cited by: 53
References: 269
Citations by year: 2026: 3 · 2025: 14 · 2024: 8 · 2023: 10 · 2022: 9 · 2021: 7 · 2018: 2
FWCI: 17.55
Type: book chapter
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Progress in molecular biology and translational science (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health
National Institute on Aging (R01AG050603)
National Institute on Deafness and Other Communication Disorders (R01DC014942, R01DC012519)
National Institute of Neurological Disorders and Stroke (R01NS089757, R21NS094684)
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: frontotemporal dementia, neuroimaging, neurodegeneration, hypometabolism, brain networks, tau imaging, biomarkers, genetic mutations, clinical syndromes, pathophysiology
MeSH terms: Humans, Mutation, Speech, tau Proteins, Imaging, Three-Dimensional, Frontotemporal Dementia, Neuroimaging

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FTD spectrum: Neuroimaging across the FTD spectrum

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