Disrupted brain connectome in semantic variant of primary progressive aphasia
Abstract
Using resting-state functional magnetic resonance imaging and graph analysis, the topological organization of the functional brain network connectivity was explored in patients with left-sided onset semantic variant (SV) of primary progressive aphasia relative to healthy controls. Functional brain networks in SV patients were characterized by a significantly lower mean network degree, clustering coefficient, and global efficiency, longer characteristic path length and higher assortativity compared with controls. SV patients showed also a strongly left-lateralized loss of hubs, and reduced nodal degree in the inferior and ventral temporal regions and occipital cortices. In SV, the decreased nodal degree extended into the medial and ventral frontal cortex bilaterally, left amygdala and/or hippocampus, and left caudate nucleus. These findings provide evidence that the focal structural degeneration of the inferior temporal, and perysilvian language regions in SV patients ultimately results in a distributed pattern of functional connectivity abnormalities. The local network analysis shows that SV is associated with a functional degradation in the "pan-modal" inferior and/or ventral temporal regions, and the "modality-specific" visual cortical origin of the ventral processing pathway.
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FDR correction is the method of choice to correct for the multiple comparisons problem when using graph theory metrics.
“we employed the FDR correction which is the method of choice to correct for the multiple comparisons problem when using those measures (Agosta et al., 2014; Khazaee et al., 2015).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Agosta et al., 2014
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 Agosta et al., 2014
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- Authors
- Agosta, F., Galantucci, S., Valsasina, P., Canu, E., Meani, A., Marcone, A., Magnani, G., Falini, A., Comi, G., & Filippi, M.
- Affiliations
- Vita-Salute San Raffaele University (IT)
- Corresponding author
- Filippi, Massimo
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 35
- Issue
- 11
- Pages
- 2646-2655
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2151116038
- Cited by
- 94
- References
- 69
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 6 · 2023: 4 · 2022: 9 · 2021: 12 · 2020: 10 · 2019: 8 · 2018: 7 · 2017: 10 · 2016: 10 · 2015: 6 · 2014: 1
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Funders
- Italian Ministry of Health (GR-2010-2303035)
- 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, brain connectome, resting-state functional connectivity, network topology, network hubs, inferior temporal cortex, ventral stream, left lateralization, graph theory, clustering coefficient, global efficiency, path length, assortativity
- MeSH terms
- Aged, Aphasia, Brain, Female, Frontal Lobe, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Occipital Lobe, Temporal Lobe, Disease Progression
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