Altered structural brain networks in linguistic variants of frontotemporal dementia.
Brain networks
Graph analysis
Gray matter structural covariance networks
Nonfluent variant of primary progressive aphasia
Semantic variant of primary progressive aphasia
Journal
Brain imaging and behavior
ISSN: 1931-7565
Titre abrégé: Brain Imaging Behav
Pays: United States
ID NLM: 101300405
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
accepted:
13
09
2021
pubmed:
11
11
2021
medline:
18
5
2022
entrez:
10
11
2021
Statut:
ppublish
Résumé
Semantic (svPPA) and nonfluent (nfvPPA) variants of primary progressive aphasia (PPA) have recently been associated with distinct patterns of white matter and functional network alterations in left frontoinsular and anterior temporal regions, respectively. Little information exists, however, about the topological characteristics of gray matter covariance networks in these two PPA variants. In the present study, we used a graph theory approach to describe the structural covariance network organization in 34 patients with svPPA, 34 patients with nfvPPA and 110 healthy controls. All participants underwent a 3 T structural MRI. Next, we used cortical thickness values and subcortical volumes to define subject-specific connectivity networks. Patients with svPPA and nfvPPA were characterized by higher values of normalized characteristic path length compared with controls. Moreover, svPPA patients had lower values of normalized clustering coefficient relative to healthy controls. At a regional level, patients with svPPA showed a reduced connectivity and impaired information processing in temporal and limbic brain areas relative to controls and nfvPPA patients. By contrast, local network changes in patients with nfvPPA were focused on frontal brain regions such as the pars opercularis and the middle frontal cortex. Of note, a predominance of local metric changes was observed in the left hemisphere in both nfvPPA and svPPA brain networks. Taken together, these findings provide new evidences of a suboptimal topological organization of the structural covariance networks in svPPA and nfvPPA patients. Moreover, we further confirm that distinct patterns of structural network alterations are related to neurodegenerative mechanisms underlying each PPA variant.
Identifiants
pubmed: 34755293
doi: 10.1007/s11682-021-00560-2
pii: 10.1007/s11682-021-00560-2
pmc: PMC9107413
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1113-1122Subventions
Organisme : NIA NIH HHS
ID : R01 AG032306
Pays : United States
Organisme : foundation for the national institutes of health
ID : R01, AG032306
Organisme : regione puglia
ID : D.G.R. n. 2117 of 21.11.2018
Informations de copyright
© 2021. The Author(s).
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