Functional connectivity changes in behavioral, semantic, and nonfluent variants of frontotemporal dementia
Open accessAbstract
Frontotemporal dementia (FTD) affects behavior, language, and personality. This study aims to explore functional connectivity changes in three FTD variants: behavioral (bvFTD), semantic (svPPA), and nonfluent variant (nfvPPA). Seventy-six patients diagnosed with FTD by international criteria and thirty-two controls were investigated. Functional connectivity from resting functional magnetic resonance imaging (fMRI) was estimated for the whole brain. Two types of analysis were done: network basic statistic and topological measures by graph theory. Several hubs in the limbic system and basal ganglia were compromised in the behavioral variant apart from frontal networks. Nonfluent variants showed a major disconnection with respect to the behavioral variant in operculum and parietal inferior. The global efficiency had lower coefficients in nonfluent variants than behavioral variants and controls. Our results support an extensive disconnection among frontal, limbic, basal ganglia, and parietal hubs.
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Functional graph theory models captured node-degree differences in the left superior occipital area, left Heschl gyrus, and left frontal inferior pars triangularis.
“Moreover, the functional graph theory models captured node-degree differences in the left superior occipital area (Agosta et al., 2013; Reyes et al., 2018), left Heschl gyrus (Agosta et al., 2013), and left frontal inferior pars triangularis (Zhou et al., 2012).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Reyes et al., 2018
The multimodal approach helps to provide information on specific functional and structural alterations capturing differential patterns in FTD.
“However, the multimodal approach helps to provide information on specific functional and structural alterations capturing differential patterns in FTD (Agosta et al., 2012; Nguyen et al., 2013; Reyes et al., 2018; Whitwell, 2019).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Reyes et al., 2018
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- Authors
- Reyes, P., Ortega-Merchan, M. P., Rueda, A., Uriza, F., Santamaria-García, H., Rojas-Serrano, N., Rodriguez-Santos, J., Velasco-Leon, M. C., Rodriguez-Parra, J. D., Mora-Diaz, D. E., & Matallana, D.
- Affiliations
- Pontificia Universidad Javeriana (CO)
- Departamento de Radiología e Imágenes Diagnósticas, Hospital Universitario San Ignacio, Bogotá, Colombia
- Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
- Corresponding author
- Reyes, P.
- Venue
- Behavioural Neurology
- Publisher
- Wiley
- Published
- 2018
- Volume
- 2018
- Pages
- 1-10
- ISSN
- 0953-4180 (ISSN-L)
- 1875-8584
- PMC
- PMC5902123
- OpenAlex
- W2794480419
- Cited by
- 52
- References
- 69
- Citations by year
- 2025: 6 · 2024: 4 · 2023: 13 · 2022: 7 · 2021: 11 · 2020: 5 · 2019: 5 · 2018: 1
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Behavioural Neurology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Funders
- Hospital Universitario San Ignacio (697-2014)
- COLCIENCIAS (697-2014)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Keywords
- frontotemporal dementia, behavioral variant frontotemporal dementia, semantic dementia, functional connectivity, brain network hubs, graph theory, global efficiency, limbic system, basal ganglia, frontal network, resting-state fMRI
- MeSH terms
- Aged, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Aphasia, Primary Progressive, Primary Progressive Nonfluent Aphasia, Frontotemporal Dementia, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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