Altered functional connectivity of cortical networks in semantic variant primary progressive aphasia
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Abstract
As their illness progresses, patients with the semantic variant of Primary Progressive Aphasia (svPPA) frequently exhibit peculiar behaviors indicative of altered visual attention or an increased interest in artistic endeavors. In the present study, we examined changes within and between large-scale functional brain networks that may explain this altered visual behavior. We first examined the connectivity of the visual association network, the dorsal attention network, and the default mode network in healthy young adults (n = 89) to understand the typical architecture of these networks in the healthy brain. We then compared the large-scale functional connectivity of these networks in a group of svPPA patients (n = 12) to a group of age-matched cognitively normal controls (n = 30). Our results showed that the between-network connectivity of the dorsal attention and visual association networks was elevated in svPPA patients relative to controls. We further showed that this heightened between-network connectivity was associated with a decrease in the within-network connectivity of the default mode network, possibly due to progressive degeneration of the anterior temporal lobes in svPPA. These results suggest that focal neurodegeneration can lead to the reorganization of large-scale cognitive networks beyond the primarily affected network(s), possibly contributing to cognitive or behavioral changes that are commonly present as part of the clinical phenotype of svPPA.
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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 Popal et al., 2020
The AAL's models prioritized also other areas with extensive evidence of affectation in FTD such as the insula and precuneus.
“Furthermore, the AAL’s models prioritized also other areas with extensive evidence of affectation in FTD such as the insula and precuneus (Agosta et al., 2013; Baez et al., 2019; Popal et al., 2020; Reyes et al., 2018; Whitwell et al., 2011b).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Popal et al., 2020
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Flagged first, then by citations
Research works printed but not linked: 1
- Wernicke C. Lehrbuch der gehirnkrankheiten für aerzte und studirende Vol. 2 1881 Fischer 18056751
Cited by
Sorted by citations
Gonzalez-Gomez, R., Ibañez, A., & Moguilner, S. (2023) · Network Neuroscience · doi:10.1162/netn_a_00285 · Cited by 10 · see citing works
- Authors
- Popal, H., Quimby, M., Hochberg, D., Dickerson, B. C., & Collins, J. A.
- Affiliations
- Temple University (US)
- Harvard University (US)
- Corresponding author
- Dickerson, Bradford C.
- Venue
- NeuroImage: Clinical
- Publisher
- Elsevier BV
- Published
- 2020
- Volume
- 28
- Pages
- 102494
- ISSN
- 2213-1582 (ISSN-L)
- PMC
- PMC7708956
- OpenAlex
- W3099235881
- Cited by
- 18
- References
- 110
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 3 · 2022: 6 · 2021: 1
- FWCI
- 1.34
- 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, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health
- 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
- semantic dementia, functional connectivity, large-scale brain networks, dorsal attention network, default mode network, between-network connectivity, within-network connectivity, neurodegeneration, network reorganization, visual attention, artistic behavior
- MeSH terms
- Brain, Humans, Magnetic Resonance Imaging, Semantics, Temporal Lobe, Aphasia, Primary Progressive, Young Adult
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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