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Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis
AIMS: To explore large‐scale brain network alterations and examine their clinical and neuropsychological relevance in patients with anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis. METHODS: Twenty‐four patients with anti‐NMDAR encephalitis and 26 matched healthy controls (HCs) were enrolled...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111502/ https://www.ncbi.nlm.nih.gov/pubmed/33713553 http://dx.doi.org/10.1111/cns.13632 |
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author | Wang, Jinhui Duan, Yunyun Zhang, Tian Huang, Jing Ren, Zhuoqiong Ye, Jing Wang, Ningkai Li, Yinzhi Chen, Xiaoya Gao, Peiyi Li, Kuncheng Liu, Yaou |
author_facet | Wang, Jinhui Duan, Yunyun Zhang, Tian Huang, Jing Ren, Zhuoqiong Ye, Jing Wang, Ningkai Li, Yinzhi Chen, Xiaoya Gao, Peiyi Li, Kuncheng Liu, Yaou |
author_sort | Wang, Jinhui |
collection | PubMed |
description | AIMS: To explore large‐scale brain network alterations and examine their clinical and neuropsychological relevance in patients with anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis. METHODS: Twenty‐four patients with anti‐NMDAR encephalitis and 26 matched healthy controls (HCs) were enrolled in our study. Based on the multimodal MRI dataset, individual morphological, structural, and functional brain networks were constructed and compared between the two groups at multiple levels. The associations with clinical/neuropsychological variables and the discriminant ability of significant alterations were further studied. RESULTS: Multimodal network analysis revealed that anti‐NMDAR encephalitis mainly affected morphological and structural networks, but subtle alterations were observed in functional networks. Intriguingly, decreased network local efficiency was observed for both morphological and structural networks and increased nodal centrality in the lateral orbital gyrus was convergently observed among the three types of networks in the patients. Moreover, the alterations, particularly those from structural networks, accounted largely for cognitive deficits of the patients and could distinguish the diseased individuals from the HCs with excellent performance (area under the curve =0.933). CONCLUSIONS: The current study provides a comprehensive view of characteristic multimodal network dysfunction in anti‐NMDAR encephalitis, which is crucial to establish new diagnostic biomarkers and promising therapeutic targets for the disease. |
format | Online Article Text |
id | pubmed-8111502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81115022021-05-18 Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis Wang, Jinhui Duan, Yunyun Zhang, Tian Huang, Jing Ren, Zhuoqiong Ye, Jing Wang, Ningkai Li, Yinzhi Chen, Xiaoya Gao, Peiyi Li, Kuncheng Liu, Yaou CNS Neurosci Ther Original Articles AIMS: To explore large‐scale brain network alterations and examine their clinical and neuropsychological relevance in patients with anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis. METHODS: Twenty‐four patients with anti‐NMDAR encephalitis and 26 matched healthy controls (HCs) were enrolled in our study. Based on the multimodal MRI dataset, individual morphological, structural, and functional brain networks were constructed and compared between the two groups at multiple levels. The associations with clinical/neuropsychological variables and the discriminant ability of significant alterations were further studied. RESULTS: Multimodal network analysis revealed that anti‐NMDAR encephalitis mainly affected morphological and structural networks, but subtle alterations were observed in functional networks. Intriguingly, decreased network local efficiency was observed for both morphological and structural networks and increased nodal centrality in the lateral orbital gyrus was convergently observed among the three types of networks in the patients. Moreover, the alterations, particularly those from structural networks, accounted largely for cognitive deficits of the patients and could distinguish the diseased individuals from the HCs with excellent performance (area under the curve =0.933). CONCLUSIONS: The current study provides a comprehensive view of characteristic multimodal network dysfunction in anti‐NMDAR encephalitis, which is crucial to establish new diagnostic biomarkers and promising therapeutic targets for the disease. John Wiley and Sons Inc. 2021-03-13 /pmc/articles/PMC8111502/ /pubmed/33713553 http://dx.doi.org/10.1111/cns.13632 Text en © 2021 The Authors. CNS Neuroscience & Therapeutics Published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Wang, Jinhui Duan, Yunyun Zhang, Tian Huang, Jing Ren, Zhuoqiong Ye, Jing Wang, Ningkai Li, Yinzhi Chen, Xiaoya Gao, Peiyi Li, Kuncheng Liu, Yaou Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis |
title | Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis |
title_full | Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis |
title_fullStr | Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis |
title_full_unstemmed | Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis |
title_short | Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis |
title_sort | aberrant multimodal brain networks in patients with anti‐nmda receptor encephalitis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111502/ https://www.ncbi.nlm.nih.gov/pubmed/33713553 http://dx.doi.org/10.1111/cns.13632 |
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