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Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis
BACKGROUND: NMDA receptor encephalitis (NMDARE) is the most prevalent autoimmune encephalitis and it encompasses a spectrum of clinical features. It is most commonly associated with alteration in consciousness, seizures, neuro-psychiatric symptoms, and movement disorders. Electroencephalography (EEG...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Wolters Kluwer - Medknow
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370159/ https://www.ncbi.nlm.nih.gov/pubmed/34447004 http://dx.doi.org/10.4103/aian.AIAN_882_20 |
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author | Viswanathan, Lakshminarayanapuram Gopal Siddappa, Shreedhara A. Nagappa, Madhu Mahadevan, Anita Duble, Shishir Bindu, Parayil S Taly, Arun B Sinha, Sanjib |
author_facet | Viswanathan, Lakshminarayanapuram Gopal Siddappa, Shreedhara A. Nagappa, Madhu Mahadevan, Anita Duble, Shishir Bindu, Parayil S Taly, Arun B Sinha, Sanjib |
author_sort | Viswanathan, Lakshminarayanapuram Gopal |
collection | PubMed |
description | BACKGROUND: NMDA receptor encephalitis (NMDARE) is the most prevalent autoimmune encephalitis and it encompasses a spectrum of clinical features. It is most commonly associated with alteration in consciousness, seizures, neuro-psychiatric symptoms, and movement disorders. Electroencephalography (EEG) plays a vital role and can give clues to diagnosis in a subset of patients. METHODS: We retrospectively characterized the clinical and EEG findings in our NMDARE patients (n = 48). A total of 131 EEGs were analyzed. RESULTS: We observed that patients with seizures had a younger age of onset (p < 0.001). The most common EEG pattern that was noted was diffuse slowing (n = 20) followed by generalized rhythmic delta activity (n = 9), focal spikes and slowing (n = 8 each). Delta brush pattern was seen in only 3 EEGs. Focal ictal rhythms were seen in 3 EEGs. There was no significant difference in outcomes such as seizure recurrence, modified Rankin score (mRS) at follow up/discharge or relapse between groups of patients who had EEG abnormalities in the first EEG and with those who did not. CONCLUSIONS: NMDARE has varied EEG findings, most of them being non-specific. When combined with clinical presentation, EEG is a useful tool in the diagnosis and management of NMDARE. |
format | Online Article Text |
id | pubmed-8370159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-83701592021-08-25 Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis Viswanathan, Lakshminarayanapuram Gopal Siddappa, Shreedhara A. Nagappa, Madhu Mahadevan, Anita Duble, Shishir Bindu, Parayil S Taly, Arun B Sinha, Sanjib Ann Indian Acad Neurol Original Article BACKGROUND: NMDA receptor encephalitis (NMDARE) is the most prevalent autoimmune encephalitis and it encompasses a spectrum of clinical features. It is most commonly associated with alteration in consciousness, seizures, neuro-psychiatric symptoms, and movement disorders. Electroencephalography (EEG) plays a vital role and can give clues to diagnosis in a subset of patients. METHODS: We retrospectively characterized the clinical and EEG findings in our NMDARE patients (n = 48). A total of 131 EEGs were analyzed. RESULTS: We observed that patients with seizures had a younger age of onset (p < 0.001). The most common EEG pattern that was noted was diffuse slowing (n = 20) followed by generalized rhythmic delta activity (n = 9), focal spikes and slowing (n = 8 each). Delta brush pattern was seen in only 3 EEGs. Focal ictal rhythms were seen in 3 EEGs. There was no significant difference in outcomes such as seizure recurrence, modified Rankin score (mRS) at follow up/discharge or relapse between groups of patients who had EEG abnormalities in the first EEG and with those who did not. CONCLUSIONS: NMDARE has varied EEG findings, most of them being non-specific. When combined with clinical presentation, EEG is a useful tool in the diagnosis and management of NMDARE. Wolters Kluwer - Medknow 2021 2020-11-06 /pmc/articles/PMC8370159/ /pubmed/34447004 http://dx.doi.org/10.4103/aian.AIAN_882_20 Text en Copyright: © 2006 - 2020 Annals of Indian Academy of Neurology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Viswanathan, Lakshminarayanapuram Gopal Siddappa, Shreedhara A. Nagappa, Madhu Mahadevan, Anita Duble, Shishir Bindu, Parayil S Taly, Arun B Sinha, Sanjib Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis |
title | Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis |
title_full | Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis |
title_fullStr | Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis |
title_full_unstemmed | Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis |
title_short | Spectrum and Evolution of EEG Changes in Anti-NMDAR Encephalitis |
title_sort | spectrum and evolution of eeg changes in anti-nmdar encephalitis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370159/ https://www.ncbi.nlm.nih.gov/pubmed/34447004 http://dx.doi.org/10.4103/aian.AIAN_882_20 |
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