Differential hemispheric predilection of microstructural white matter and functional connectivity abnormalities between respectively semantic and behavioral variant frontotemporal dementia
Abstract
Semantic dementia (SD) and behavioral variant frontotemporal dementia (bvFTD), subtypes of frontotemporal dementia, are characterized by distinct clinical symptoms and neuroimaging features, with predominant left temporal grey matter (GM) atrophy in SD and bilateral or right frontal GM atrophy in bvFTD. Such differential hemispheric predilection may also be reflected by other neuroimaging features, such as brain connectivity. This study investigated white matter (WM) microstructure and functional connectivity differences between SD and bvFTD, focusing on the hemispheric predilection of these differences. Eight SD and 12 bvFTD patients, and 17 controls underwent diffusion tensor imaging and resting state functional MRI at 3T. Whole-brain WM microstructure was assessed to determine distinct WM tracts affected in SD and bvFTD. For these tracts, diffusivity measures and lateralization indices were calculated. Functional connectivity was established for GM regions affected in early stage SD or bvFTD. Results of a direct comparison between SD and bvFTD are reported. Whole-brain WM microstructure abnormalities were more pronounced in the left hemisphere in SD and bilaterally- with a slight predilection for the right- in bvFTD. Lateralization of tract-specific abnormalities was seen in SD only, toward the left hemisphere. Functional connectivity of disease-specific regions was mainly decreased bilaterally in SD and in the right hemisphere in bvFTD. SD and bvFTD show WM microstructure…
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Increased connectivity values were detected in specific FTD variants: parietal lobe connections in bvFTD, frontal lobe in CBS, occipital lobe in PSP, and structural thalamic tract connectivity in bvFTD and svPPA.
“We also detected increased connectivity values in specific FTD variants, for example, in the connections involving the parietal lobe in bvFTD (Meijboom et al., 2017; Whitwell et al., 2011b), the frontal lobe in CBS (Wolpe et al., 2014), occipital lobe in PSP (Whitwell et al., 2011a), and structural thalamic tract connectivity in bvFTD and svPPA.”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Meijboom et al., 2017
Functional ROI-to-ROI models showed alterations in fronto-temporal, intrafrontal, and precuneus-insula connectivity.
“In line with previous studies, the functional ROI-to-ROI models showed alterations in fronto-temporal (Jastorff et al., 2016; Meijboom et al., 2017), intrafrontal (Dopper et al., 2014; Whitwell, 2019), and precuneus-insula (Whitwell et al., 2011b) connectivity.”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Meijboom et al., 2017
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Montembeault, M., Brambati, S. M., Gorno‐Tempini, M. L., & Migliaccio, R. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00692 · Cited by 174 · see citing works
Jalilianhasanpour, R., Beheshtian, E., Sherbaf, G., Sahraian, S., & Sair, H. I. (2019) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000223 · Cited by 57 · see citing works
FTD spectrum: Neuroimaging across the FTD spectrum
Whitwell, J. L. (2019) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2019.05.009 · Cited by 53 · see citing works
Novel Alzheimer’s disease subtypes identified using a data and knowledge driven strategy
Mitelpunkt, A., Galili, T., Kozlovski, T., Bregman, N., Shachar, N., Marcus-Kalish, M., & Benjamini, Y. (2020) · Scientific Reports · doi:10.1038/s41598-020-57785-2 · Cited by 40 · see citing works
Neuroimaging in Frontotemporal Lobar Degeneration: Research and Clinical Utility
Dev, S. I., Dickerson, B. C., & Touroutoglou, A. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-51140-1_7 · Cited by 16 · see citing works
Disruption of macroscale functional network organisation in patients with frontotemporal dementia
Bouzigues, A., Godefroy, V., Du, V. L., Russell, L. L., Houot, M., Ber, I. L., Batrancourt, B. M., Lévy, R., Warren, J. D., Rohrer, J. D., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02847-4 · Cited by 12 · see citing works
Montembeault, M., Miller, Z., Geraudie, A., Pressman, P., Slegers, A., Millanski, C., Licata, A. E., Ratnasiri, B. M., Mandelli, M. L., Henry, M. L., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad077 · Cited by 11 · see citing works
Resting State Functional Connectivity Is Decreased Globally Across the C9orf72 Mutation Spectrum
Shoukry, R. S., Clark, M. G., & Floeter, M. K. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.598474 · Cited by 10 · see citing works
Gonzalez-Gomez, R., Ibañez, A., & Moguilner, S. (2023) · Network Neuroscience · doi:10.1162/netn_a_00285 · Cited by 10 · see citing works
Changes in local brain function in mild cognitive impairment due to semantic dementia
Cui, L., Chen, K., Huang, L., Sun, J., Lv, Y., Jia, X., & Guo, Q. (2021) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13621 · Cited by 10 · see citing works
Clinical Features of Late-onset Semantic Dementia
Mendez, M. F., Chávez, D., Desarzant, R. E., & Yerstein, O. (2020) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000229 · Cited by 10 · see citing works
Michelutti, M., Huppertz, H., Volkmann, H., Anderl‐Straub, S., Urso, D., Tafuri, B., Nigro, S. L., Manganotti, P., Werner, L., Lombardi, J., et al. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13215-9 · Cited by 7 · see citing works
Distinguishing Semantic Variant Primary Progressive Aphasia from Alzheimer’s Disease
Mendez, M. F., & Nasir, I. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230010 · Cited by 5 · see citing works
Chen, X., Chen, Y., Peng, G., & Liu, X. (2025) · Clinical Interventions in Aging · doi:10.2147/cia.s520351 · Cited by 2 · see citing works
Tippett, D. C. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733957136.793569912
Macomber, A. J., Zouridakis, A., Lubbat, V., Minogue, G., Kawles, A., Keszycki, R. M., Nelson, C., Gill, N. P., Gutstein, D., Castellani, R. J., et al. (2026) · Cerebral Cortex · doi:10.1093/cercor/bhag011
Advances in diffusion MRI in frontotemporal dementia
Ferraro, P. M., & Spinelli, E. G. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-23812-3.00009-6
- Authors
- Meijboom, R., Steketee, R. M. E., Ham, L. S., van der Lugt, A., van Swieten, J. C., & Smits, M.
- Affiliations
- Erasmus MC (NL)
- Department of Radiology and Nuclear Medicine, Erasmus MC – University Medical Centre Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC – University Medical Centre Rotterdam, The Netherlands
- Corresponding author
- Smits, Marion
- Venue
- Journal of Alzheimer’s Disease
- Publisher
- SAGE Publications
- Published
- 2017-01-24
- Volume
- 56
- Issue
- 2
- Pages
- 789-804
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W2568789352
- Cited by
- 17
- References
- 87
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 1
- FWCI
- 1.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Erasmus Universiteit Rotterdam
- Erasmus+
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- semantic dementia, behavioral variant frontotemporal dementia
- MeSH terms
- Brain, Brain Mapping, Female, Humans, Functional Laterality, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Organ Size, Rest, Diffusion Tensor Imaging, Frontotemporal Dementia, White Matter, Gray Matter
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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