BRAIN NETWORK CONNECTIVITY FROM MATCHING CORTICAL FEATURE DENSITIES.
brain connectivity
brain networks
kernel density
structural association networks
Journal
Proceedings. IEEE International Symposium on Biomedical Imaging
ISSN: 1945-7928
Titre abrégé: Proc IEEE Int Symp Biomed Imaging
Pays: United States
ID NLM: 101492570
Informations de publication
Date de publication:
Apr 2020
Apr 2020
Historique:
entrez:
10
12
2020
pubmed:
11
12
2020
medline:
11
12
2020
Statut:
ppublish
Résumé
We present a new method for constructing structural inference brain networks from functional measures of cortical features. Instead of averaging vertex-wise cortical features, we propose the use of full functions of spatial densities of measures such as thickness and use two dimensional pairwise correlations between regions to construct population networks. We show increased within group correlations for both healthy controls and toddlers with prenatal alcohol exposure compared to the existing mean-based correlation approach. Further, we also show significant differences in brain connectivity between the healthy controls and the exposed group.
Identifiants
pubmed: 33299534
doi: 10.1109/isbi45749.2020.9098689
pmc: PMC7722986
mid: NIHMS1650735
doi:
Types de publication
Journal Article
Langues
eng
Pagination
995-998Subventions
Organisme : NIAAA NIH HHS
ID : K25 AA024192
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA026834
Pays : United States
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