Covariance statistics and network analysis of brain PET imaging studies.
Aged
Aged, 80 and over
Alzheimer Disease
/ diagnostic imaging
Brain
/ diagnostic imaging
Case-Control Studies
Cross-Sectional Studies
Dihydroxyphenylalanine
/ administration & dosage
Disease Progression
Female
Fluorodeoxyglucose F18
/ administration & dosage
Humans
Male
Neuroimaging
Positron-Emission Tomography
Radiographic Image Interpretation, Computer-Assisted
/ methods
Radiopharmaceuticals
/ administration & dosage
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
21 02 2019
21 02 2019
Historique:
received:
03
07
2018
accepted:
09
01
2019
entrez:
23
2
2019
pubmed:
23
2
2019
medline:
29
8
2020
Statut:
epublish
Résumé
The analysis of structural and functional neuroimaging data using graph theory has increasingly become a popular approach for visualising and understanding anatomical and functional relationships between different cerebral areas. In this work we applied a network-based approach for brain PET studies using population-based covariance matrices, with the aim to explore topological tracer kinetic differences in cross-sectional investigations. Simulations, test-retest studies and applications to cross-sectional datasets from three different tracers ([
Identifiants
pubmed: 30792460
doi: 10.1038/s41598-019-39005-8
pii: 10.1038/s41598-019-39005-8
pmc: PMC6385265
doi:
Substances chimiques
Radiopharmaceuticals
0
Fluorodeoxyglucose F18
0Z5B2CJX4D
fluorodopa F 18
2C598205QX
Dihydroxyphenylalanine
63-84-3
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
2496Subventions
Organisme : Medical Research Council
ID : MC_U120097115
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom
Organisme : CIHR
Pays : Canada
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
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