Disrupted Topological Organization of White Matter Network in Angelman Syndrome.
Angelman syndrome
diffusion MRI
network analysis
Journal
Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850
Informations de publication
Date de publication:
04 2023
04 2023
Historique:
revised:
03
07
2022
received:
13
04
2022
accepted:
05
07
2022
pubmed:
21
7
2022
medline:
15
3
2023
entrez:
20
7
2022
Statut:
ppublish
Résumé
Angelman syndrome (AS) is a genetic disorder that affects neurodevelopment. The investigation of changes in the brain white matter network, which would contribute to a better understanding of the pathogenesis of AS brain, was lacking. To investigate both local and global alterations of white matter in patients with AS. Prospective. A total of 29 AS patients (6.6 ± 1.4 years, 15 [52%] females) and 19 age-matched healthy controls (HC) (7.0 ± 1.5 years, 10 [53%] females). A 3-T, three-dimensional (3D) T1-weighted imaging by using gradient-echo-based sequence, single shell diffusion tensor imaging by using spin-echo-based echo-planar imaging. Network metrics including global efficiency (E Linear regression model, permutation test. P values estimated from the regression model for each brain region were adjusted by false discovery rate (FDR) correction. AS patients showed significantly lower E The AS brain showed diminished connectivity, reflected by reduced network efficiency compared to HC. Compared to densely connected regions, less connected regions were more vulnerable in AS. 2 TECHNICAL EFFICACY: Stage 3.
Sections du résumé
BACKGROUND
Angelman syndrome (AS) is a genetic disorder that affects neurodevelopment. The investigation of changes in the brain white matter network, which would contribute to a better understanding of the pathogenesis of AS brain, was lacking.
PURPOSE
To investigate both local and global alterations of white matter in patients with AS.
STUDY TYPE
Prospective.
SUBJECTS
A total of 29 AS patients (6.6 ± 1.4 years, 15 [52%] females) and 19 age-matched healthy controls (HC) (7.0 ± 1.5 years, 10 [53%] females).
FIELD STRENGTH/SEQUENCE
A 3-T, three-dimensional (3D) T1-weighted imaging by using gradient-echo-based sequence, single shell diffusion tensor imaging by using spin-echo-based echo-planar imaging.
ASSESSMENT
Network metrics including global efficiency (E
STATISTICAL TESTS
Linear regression model, permutation test. P values estimated from the regression model for each brain region were adjusted by false discovery rate (FDR) correction.
RESULTS
AS patients showed significantly lower E
DATA CONCLUSION
The AS brain showed diminished connectivity, reflected by reduced network efficiency compared to HC. Compared to densely connected regions, less connected regions were more vulnerable in AS.
EVIDENCE LEVEL
2 TECHNICAL EFFICACY: Stage 3.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1212-1221Informations de copyright
© 2022 International Society for Magnetic Resonance in Medicine.
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