Vincent Moya Quiros, Ahmed Adham, Philippe Convers, Gaetan Lesca, François Mauguiere, Hugo Soulier, Alexis Arzimanoglou, Allan Bayat, Hilde Braakman, Jean-Philippe Camdessanche, Philippe Casenave, Laurence Chaton, Yves Chaix, Maxime Chochoi, Christel Depienne, Vincent Desportes, Jessie De Ridder, Vera Dinkelacker, Elena Gardella, Gerhard J Kluger, Julien Jung, Martine Lemesle Martin, Maria Margherita Mancardi, Markus Mueller, Anne-Lise Poulat, Konrad Platzer, Agathe Roubertie, Marijn F Stokman, Anneke T Vulto-van Silfhout, Gert Wiegand, Laure Mazzola
{"title":"SYN1相关癫痫的电临床特征和功能连接性分析","authors":"Vincent Moya Quiros, Ahmed Adham, Philippe Convers, Gaetan Lesca, François Mauguiere, Hugo Soulier, Alexis Arzimanoglou, Allan Bayat, Hilde Braakman, Jean-Philippe Camdessanche, Philippe Casenave, Laurence Chaton, Yves Chaix, Maxime Chochoi, Christel Depienne, Vincent Desportes, Jessie De Ridder, Vera Dinkelacker, Elena Gardella, Gerhard J Kluger, Julien Jung, Martine Lemesle Martin, Maria Margherita Mancardi, Markus Mueller, Anne-Lise Poulat, Konrad Platzer, Agathe Roubertie, Marijn F Stokman, Anneke T Vulto-van Silfhout, Gert Wiegand, Laure Mazzola","doi":"10.1002/ana.27063","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>There is currently scarce data on the electroclinical characteristics of epilepsy associated with synapsin 1 (SYN1) pathogenic variations. We examined clinical and electro-encephalographic (EEG) features in patients with epilepsy and SYN1 variants, with the aim of identifying a distinctive electroclinical pattern.</p><p><strong>Methods: </strong>In this retrospective multicenter study, we collected and reviewed demographic, genetic, and epilepsy data of 19 male patients with SYN1 variants. Specifically, we analyzed interictal EEG data for all patients, and electro-clinical data from 10 epileptic seizures in 5 patients, using prolonged video-EEG monitoring recordings. Inter-ictal EEG functional connectivity parameters and frequency spectrum of the 10 patients over 12 years of age, were computed and compared with those of 56 age- and sex-matched controls.</p><p><strong>Results: </strong>The main electroclinical features of epilepsy in patients with SYN1 were (1) EEG background and organization mainly normal; (2) interictal abnormalities are often rare or not visible on EEG; (3) more than 60% of patients had reflex seizures (cutaneous contact with water and defecation being the main triggers) isolated or associated with spontaneous seizures; (4) electro-clinical semiology of seizures was mainly temporal or temporo-insulo/perisylvian with a notable autonomic component; and (5) ictal EEG showed a characteristic rhythmic theta/delta activity predominating in temporo-perisylvian regions at the beginning of most seizures. Comparing patients with SYN1 to healthy subjects, we observed a shift to lower frequency bands in power spectrum of interictal EEG and an increased connectivity in both temporal regions.</p><p><strong>Interpretation: </strong>A distinct epilepsy syndrome emerges in patients with SYN1, with a rather characteristic clinical and EEG pattern suggesting predominant temporo-insular involvement. ANN NEUROL 2024.</p>","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":" ","pages":""},"PeriodicalIF":8.1000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electro-Clinical Features and Functional Connectivity Analysis in SYN1-Related Epilepsy.\",\"authors\":\"Vincent Moya Quiros, Ahmed Adham, Philippe Convers, Gaetan Lesca, François Mauguiere, Hugo Soulier, Alexis Arzimanoglou, Allan Bayat, Hilde Braakman, Jean-Philippe Camdessanche, Philippe Casenave, Laurence Chaton, Yves Chaix, Maxime Chochoi, Christel Depienne, Vincent Desportes, Jessie De Ridder, Vera Dinkelacker, Elena Gardella, Gerhard J Kluger, Julien Jung, Martine Lemesle Martin, Maria Margherita Mancardi, Markus Mueller, Anne-Lise Poulat, Konrad Platzer, Agathe Roubertie, Marijn F Stokman, Anneke T Vulto-van Silfhout, Gert Wiegand, Laure Mazzola\",\"doi\":\"10.1002/ana.27063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>There is currently scarce data on the electroclinical characteristics of epilepsy associated with synapsin 1 (SYN1) pathogenic variations. We examined clinical and electro-encephalographic (EEG) features in patients with epilepsy and SYN1 variants, with the aim of identifying a distinctive electroclinical pattern.</p><p><strong>Methods: </strong>In this retrospective multicenter study, we collected and reviewed demographic, genetic, and epilepsy data of 19 male patients with SYN1 variants. Specifically, we analyzed interictal EEG data for all patients, and electro-clinical data from 10 epileptic seizures in 5 patients, using prolonged video-EEG monitoring recordings. Inter-ictal EEG functional connectivity parameters and frequency spectrum of the 10 patients over 12 years of age, were computed and compared with those of 56 age- and sex-matched controls.</p><p><strong>Results: </strong>The main electroclinical features of epilepsy in patients with SYN1 were (1) EEG background and organization mainly normal; (2) interictal abnormalities are often rare or not visible on EEG; (3) more than 60% of patients had reflex seizures (cutaneous contact with water and defecation being the main triggers) isolated or associated with spontaneous seizures; (4) electro-clinical semiology of seizures was mainly temporal or temporo-insulo/perisylvian with a notable autonomic component; and (5) ictal EEG showed a characteristic rhythmic theta/delta activity predominating in temporo-perisylvian regions at the beginning of most seizures. Comparing patients with SYN1 to healthy subjects, we observed a shift to lower frequency bands in power spectrum of interictal EEG and an increased connectivity in both temporal regions.</p><p><strong>Interpretation: </strong>A distinct epilepsy syndrome emerges in patients with SYN1, with a rather characteristic clinical and EEG pattern suggesting predominant temporo-insular involvement. ANN NEUROL 2024.</p>\",\"PeriodicalId\":127,\"journal\":{\"name\":\"Annals of Neurology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":8.1000,\"publicationDate\":\"2024-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Neurology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ana.27063\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ana.27063","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Electro-Clinical Features and Functional Connectivity Analysis in SYN1-Related Epilepsy.
Objective: There is currently scarce data on the electroclinical characteristics of epilepsy associated with synapsin 1 (SYN1) pathogenic variations. We examined clinical and electro-encephalographic (EEG) features in patients with epilepsy and SYN1 variants, with the aim of identifying a distinctive electroclinical pattern.
Methods: In this retrospective multicenter study, we collected and reviewed demographic, genetic, and epilepsy data of 19 male patients with SYN1 variants. Specifically, we analyzed interictal EEG data for all patients, and electro-clinical data from 10 epileptic seizures in 5 patients, using prolonged video-EEG monitoring recordings. Inter-ictal EEG functional connectivity parameters and frequency spectrum of the 10 patients over 12 years of age, were computed and compared with those of 56 age- and sex-matched controls.
Results: The main electroclinical features of epilepsy in patients with SYN1 were (1) EEG background and organization mainly normal; (2) interictal abnormalities are often rare or not visible on EEG; (3) more than 60% of patients had reflex seizures (cutaneous contact with water and defecation being the main triggers) isolated or associated with spontaneous seizures; (4) electro-clinical semiology of seizures was mainly temporal or temporo-insulo/perisylvian with a notable autonomic component; and (5) ictal EEG showed a characteristic rhythmic theta/delta activity predominating in temporo-perisylvian regions at the beginning of most seizures. Comparing patients with SYN1 to healthy subjects, we observed a shift to lower frequency bands in power spectrum of interictal EEG and an increased connectivity in both temporal regions.
Interpretation: A distinct epilepsy syndrome emerges in patients with SYN1, with a rather characteristic clinical and EEG pattern suggesting predominant temporo-insular involvement. ANN NEUROL 2024.
期刊介绍:
Annals of Neurology publishes original articles with potential for high impact in understanding the pathogenesis, clinical and laboratory features, diagnosis, treatment, outcomes and science underlying diseases of the human nervous system. Articles should ideally be of broad interest to the academic neurological community rather than solely to subspecialists in a particular field. Studies involving experimental model system, including those in cell and organ cultures and animals, of direct translational relevance to the understanding of neurological disease are also encouraged.