4.6 Article

White Matter Structural and Network Topological Changes Underlying the Behavioral Phenotype of MECP2 Mutant Monkeys

期刊

CEREBRAL CORTEX
卷 31, 期 12, 页码 5396-5410

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhab166

关键词

diffusion tensor imaging; graph theory; MECP2 mutation monkey; microstructure; Rett syndrome

资金

  1. National Key Research and Development Program of China [2018YFA0107902, 2018YFA0801403, 2016YFA0101401]
  2. National Natural Science Foundation of China [81930121, 31960120, U1602224]
  3. Major Basic Research Project of Science and Technology of Yunnan [202001BC070001]
  4. Sichuan Science and Technology Program [2021YJ0186]

向作者/读者索取更多资源

The study revealed that the brain white matter microstructure of Rett syndrome monkey models was initially disrupted but recovered later on, while the white matter network topology showed persistent abnormal dynamics, which were closely related to the behavioral abnormalities associated with RTT.
To explore the brain structural basis underlying the behavioral abnormalities associated with Rett syndrome (RTT), we carried out detailed longitudinal noninvasive magnetic resonance imaging analyses of RTT monkey models created by gene-editing, from weaning, through adolescence, till sexual maturation. Here, we report abnormal developmental dynamics of brain white matter (WM) microstructures and network topological organizations via diffusion tensor imaging. Specifically, disrupted WM microstructural integrity was observed at 9 months, but recovered thereafter, whereas WM network topological properties showed persistent abnormal dynamics from 9 to 37 months. Changes in the WM microstructure and WM network topology were correlated well with RTT-associated behavioral abnormalities including sleep latency, environmental exploration, and conflict encounters. Deleterious and protracted early WM myelination process likely lead to abnormal synaptic pruning, resulting in poor functional segregations. Together, this study provides initial evidence for changes in WM microstructure and network topological organization, which may underlie the neuro-patho-etilogy of RTT.

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