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Chen J, Lin M, Shi N, Shen J, Weng X, Pang F, Liang J. Altered Cortical Information Interaction During Respiratory Events in Children with Obstructive Sleep Apnea-Hypopnea Syndrome. Neurosci Bull 2024:10.1007/s12264-024-01197-z. [PMID: 38558365 DOI: 10.1007/s12264-024-01197-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 12/02/2023] [Indexed: 04/04/2024] Open
Abstract
Obstructive sleep apnea-hypopnea syndrome (OSAHS) significantly impairs children's growth and cognition. This study aims to elucidate the pathophysiological mechanisms underlying OSAHS in children, with a particular focus on the alterations in cortical information interaction during respiratory events. We analyzed sleep electroencephalography before, during, and after events, utilizing Symbolic Transfer Entropy (STE) for brain network construction and information flow assessment. The results showed a significant increase in STE after events in specific frequency bands during N2 and rapid eye movement (REM) stages, along with increased STE during N3 stage events. Moreover, a noteworthy rise in the information flow imbalance within and between hemispheres was found after events, displaying unique patterns in central sleep apnea and hypopnea. Importantly, some of these alterations were correlated with symptom severity. These findings highlight significant changes in brain region coordination and communication during respiratory events, offering novel insights into OSAHS pathophysiology in children.
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Affiliation(s)
- Jin Chen
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, China; Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
- School of General Education, Guangzhou Huali College, Guangzhou, 511325, China
| | - Minmin Lin
- Department of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Department of Otorhinolaryngology, Head and Neck Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Naikai Shi
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, China; Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Jingxian Shen
- TUM-Neuroimaging Center, Technical University of Munich, 81675, Munich, Germany
| | - Xuchu Weng
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, China; Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Feng Pang
- Department of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
- Department of Otorhinolaryngology, Head and Neck Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
| | - Jiuxing Liang
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, China; Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, Sun Yat-Sen University, Guangzhou, 510006, China.
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Sun L, Zhang W, Wang M, Wang S, Li Z, Zhao C, Lin M, Si Q, Li X, Liang Y, Wei J, Zhang X, Chen R, Li C. Reading-related Brain Function Restored to Normal After Articulation Training in Patients with Cleft Lip and Palate: An fMRI Study. Neurosci Bull 2022; 38:1215-1228. [PMID: 35849311 PMCID: PMC9554179 DOI: 10.1007/s12264-022-00918-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 04/19/2022] [Indexed: 10/17/2022] Open
Abstract
Cleft lip and/or palate (CLP) are the most common craniofacial malformations in humans. Speech problems often persist even after cleft repair, such that follow-up articulation training is usually required. However, the neural mechanism behind effective articulation training remains largely unknown. We used fMRI to investigate the differences in brain activation, functional connectivity, and effective connectivity across CLP patients with and without articulation training and matched normal participants. We found that training promoted task-related brain activation among the articulation-related brain networks, as well as the global attributes and nodal efficiency in the functional-connectivity-based graph of the network. Our results reveal the neural correlates of effective articulation training in CLP patients, and this could contribute to the future improvement of the post-repair articulation training program.
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Affiliation(s)
- Liwei Sun
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, 100069, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
| | - Wenjing Zhang
- Beijing Stomatological Hospital, Capital Medical University, Beijing, 100050, China
| | - Mengyue Wang
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Songjian Wang
- Beijing Institute of Otolaryngology-Head and Neck Surgery, Beijing, 100005, China
- Key Laboratory of Otolaryngology-Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, 100005, China
- Beijing Tongren Hospital, Capital Medical University, Beijing, 100005, China
| | - Zhen Li
- Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
| | - Cui Zhao
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, 100069, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
| | - Meng Lin
- Peking University First Hospital, Beijing, 100034, China
| | - Qian Si
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, 100069, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
| | - Xia Li
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
| | - Ying Liang
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, 100069, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
| | - Jing Wei
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, 100069, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China
| | - Xu Zhang
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, 100069, China.
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China.
| | - Renji Chen
- Beijing Stomatological Hospital, Capital Medical University, Beijing, 100050, China.
| | - Chunlin Li
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, 100069, China.
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, School of Biomedical Engineering, Capital Medical University, Beijing, 100069, China.
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