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Abnormalities of EEG Functional Connectivity and Effective Connectivity in Children with Autism Spectrum Disorder.
Geng, Xinling; Fan, Xiwang; Zhong, Yiwen; Casanova, Manuel F; Sokhadze, Estate M; Li, Xiaoli; Kang, Jiannan.
Afiliação
  • Geng X; School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.
  • Fan X; Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China.
  • Zhong Y; Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China.
  • Casanova MF; Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville, 701 Grove Rd, Greenville, SC 29605, USA.
  • Sokhadze EM; Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville, 701 Grove Rd, Greenville, SC 29605, USA.
  • Li X; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100859, China.
  • Kang J; College of Electronic & Information Engineering, Hebei University, Baoding 071000, China.
Brain Sci ; 13(1)2023 Jan 12.
Article em En | MEDLINE | ID: mdl-36672111
ABSTRACT
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder that interferes with normal brain development. Brain connectivity may serve as a biomarker for ASD in this respect. This study enrolled a total of 179 children aged 3-10 years (90 typically developed (TD) and 89 with ASD). We used a weighted phase lag index and a directed transfer function to investigate the functional and effective connectivity in children with ASD and TD. Our findings indicated that patients with ASD had local hyper-connectivity of brain regions in functional connectivity and simultaneous significant decrease in effective connectivity across hemispheres. These connectivity abnormalities may help to find biomarkers of ASD.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article