Binglin Fan1, Peirong Wu1, Xia Zhou1, Zexiang Chen1, Linlin Pang1, Ke Shi1, Jinou Zheng2. 1. Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China. 2. Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China. jinouzheng@163.com.
Abstract
PURPOSE: Previous studies have discovered different neuroimaging features in anti-NMDAR encephalitis associated with cognitive dysfunction. However, it is unknown whether there is a correlation between abnormal homotopic connectivity and cognitive impairment in anti-NMDAR encephalitis. We aim to explore the homotopic connectivity patterns of patients with anti-NMDAR encephalitis and their associations with clinical characteristics. METHODS: Resting-state functional magnetic resonance imaging (rs-fMRI) was performed on 29 patients with anti-NMDAR encephalitis and 26 healthy controls (HCs). Voxel-mirrored homotopic connectivity (VMHC) and multivariate pattern analysis (MVPA) were applied to analyze the imaging data. A correlation was also performed between aberrant brain regions and clinical parameters. RESULTS: Compared to HCs, the performance of alertness in the patient group was typically worse (p < 0.05). A significant decrease in VMHC was observed in many regions of the patients in comparison to HCs, including the cerebellar 6, para-hippocampal gyrus, insula, precuneus, and middle frontal gyrus (p < 0.001). The insula and middle frontal gyrus were found to show positive correlations with alertness. The MVPA method achieved a classification accuracy of 74.55% with a sensitivity of 82.76% and a specificity of 65.38% in discriminating patients from HCs. CONCLUSION: Our findings indicate that interhemispheric functional imbalance may play a significant role in the pathophysiology of cognitive dysfunction in anti-NMDAR encephalitis. The MVPA results suggest that abnormal VMHC may play a crucial role in the identification of patients with anti-NMDAR encephalitis from HCs.
PURPOSE: Previous studies have discovered different neuroimaging features in anti-NMDAR encephalitis associated with cognitive dysfunction. However, it is unknown whether there is a correlation between abnormal homotopic connectivity and cognitive impairment in anti-NMDAR encephalitis. We aim to explore the homotopic connectivity patterns of patients with anti-NMDAR encephalitis and their associations with clinical characteristics. METHODS: Resting-state functional magnetic resonance imaging (rs-fMRI) was performed on 29 patients with anti-NMDAR encephalitis and 26 healthy controls (HCs). Voxel-mirrored homotopic connectivity (VMHC) and multivariate pattern analysis (MVPA) were applied to analyze the imaging data. A correlation was also performed between aberrant brain regions and clinical parameters. RESULTS: Compared to HCs, the performance of alertness in the patient group was typically worse (p < 0.05). A significant decrease in VMHC was observed in many regions of the patients in comparison to HCs, including the cerebellar 6, para-hippocampal gyrus, insula, precuneus, and middle frontal gyrus (p < 0.001). The insula and middle frontal gyrus were found to show positive correlations with alertness. The MVPA method achieved a classification accuracy of 74.55% with a sensitivity of 82.76% and a specificity of 65.38% in discriminating patients from HCs. CONCLUSION: Our findings indicate that interhemispheric functional imbalance may play a significant role in the pathophysiology of cognitive dysfunction in anti-NMDAR encephalitis. The MVPA results suggest that abnormal VMHC may play a crucial role in the identification of patients with anti-NMDAR encephalitis from HCs.
Authors: Owen Robert Phillips; Shantanu H Joshi; Katherine L Narr; David W Shattuck; Manpreet Singh; Margherita Di Paola; Christoph J Ploner; Harald Prüss; Friedemann Paul; Carsten Finke Journal: J Neurol Neurosurg Psychiatry Date: 2017-11-03 Impact factor: 10.154
Authors: Dominique Endres; Frank Leypoldt; Karl Bechter; Alkomiet Hasan; Johann Steiner; Katharina Domschke; Klaus-Peter Wandinger; Peter Falkai; Volker Arolt; Oliver Stich; Sebastian Rauer; Harald Prüss; Ludger Tebartz van Elst Journal: Eur Arch Psychiatry Clin Neurosci Date: 2020-03-12 Impact factor: 5.270
Authors: Nishant Sinha; Yujiang Wang; Nádia Moreira da Silva; Anna Miserocchi; Andrew W McEvoy; Jane de Tisi; Sjoerd B Vos; Gavin P Winston; John S Duncan; Peter N Taylor Journal: Neurology Date: 2020-12-22 Impact factor: 9.910