Literature DB >> 32239277

Altered brain white matter connectome in children and adolescents with prenatal alcohol exposure.

Xiangyu Long1,2,3, Graham Little4, Sarah Treit4, Christian Beaulieu4, Gaolang Gong5,6, Catherine Lebel7,8,9.   

Abstract

Diffuson tensor imaging (DTI) has demonstrated widespread alterations of brain white matter structure in children with prenatal alcohol exposure (PAE), yet it remains unclear how these alterations affect the structural brain network as a whole. The present study aimed to examine changes in the DTI-based structural connectome in children and adolescents with PAE compared to unexposed controls. Participants were 121 children and adolescents with PAE (51 females) and 119 typically-developing controls (49 females) aged 5-18 years with DTI data collected at one of four research centers across Canada. Graph-theory based analysis was performed on the connectivity matrix constructed from whole-brain white matter fibers via deterministic tractography. The PAE group had significantly decreased whole-brain global efficiency, degree centrality, and participation coefficients, as well as increased shortest path length and betweenness centrality compared to unexposed controls. Individuals with PAE had decreased connectivity between the attention, somatomotor, and default mode networks compared to controls. This study demonstrates decreased structural white matter connectivity in children and adolescents with PAE at a whole-brain level, suggesting widespread alterations in how networks are connected with each other. This decreased connectivity may underlie cognitive and behavioural difficulties in children with PAE.

Entities:  

Keywords:  Diffusion tensor imaging; Global efficiency; Graph theory; Inter-/intra-network; Prenatal alcohol exposure; Structural connectome

Mesh:

Substances:

Year:  2020        PMID: 32239277     DOI: 10.1007/s00429-020-02064-z

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  6 in total

1.  A Comparative Analysis of White Matter Structural Networks on SCLC Patients After Chemotherapy.

Authors:  Anastasios Mentzelopoulos; Irene Karanasiou; Matilda Papathanasiou; Nikolaos Kelekis; Vasileios Kouloulias; George K Matsopoulos
Journal:  Brain Topogr       Date:  2022-02-25       Impact factor: 3.020

2.  Structure can predict function in the human brain: a graph neural network deep learning model of functional connectivity and centrality based on structural connectivity.

Authors:  Josh Neudorf; Shaylyn Kress; Ron Borowsky
Journal:  Brain Struct Funct       Date:  2021-10-11       Impact factor: 3.270

3.  Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson's Disease.

Authors:  Weiqi Zeng; Wenliang Fan; Xiangchuang Kong; Xiaoming Liu; Ling Liu; Ziqin Cao; Xiaoqian Zhang; Xiaoman Yang; Chi Cheng; Yi Wu; Yu Xu; Xuebing Cao; Yan Xu
Journal:  Front Aging Neurosci       Date:  2022-02-14       Impact factor: 5.750

4.  Evaluation of Brain Alterations and Behavior in Children With Low Levels of Prenatal Alcohol Exposure.

Authors:  Xiangyu Long; Catherine Lebel
Journal:  JAMA Netw Open       Date:  2022-04-01

5.  Brain connectomes in youth at risk for serious mental illness: an exploratory analysis.

Authors:  Paul D Metzak; Mohammed K Shakeel; Xiangyu Long; Mike Lasby; Roberto Souza; Signe Bray; Benjamin I Goldstein; Glenda MacQueen; JianLi Wang; Sidney H Kennedy; Jean Addington; Catherine Lebel
Journal:  BMC Psychiatry       Date:  2022-09-15       Impact factor: 4.144

6.  Disruptions in global network segregation and integration in adolescents and young adults with fetal alcohol spectrum disorder.

Authors:  Carlos I Rodriguez; Victor M Vergara; Vince D Calhoun; Daniel D Savage; Derek A Hamilton; Claudia D Tesche; Julia M Stephen
Journal:  Alcohol Clin Exp Res       Date:  2021-08-02       Impact factor: 3.928

  6 in total

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