Joshua M Diamond1, Julio I Chapeton1, William H Theodore2, Sara K Inati3, Kareem A Zaghloul4. 1. Surgical Neurology Branch, NINDS, National Institutes of Health, Bethesda, MD 20892, United States. 2. Clinical Epilepsy Section, NINDS, National Institutes of Health, Bethesda, MD 20892, United States. 3. Epilepsy Service and EEG Section, NINDS, National Institutes of Health, Bethesda, MD 20892, United States. Electronic address: sara.inati@nih.gov. 4. Surgical Neurology Branch, NINDS, National Institutes of Health, Bethesda, MD 20892, United States. Electronic address: kareem.zaghloul@nih.gov.
Abstract
OBJECTIVE: Due to variability in the patterns of propagation of interictal epileptiform discharges (IEDs), qualitative definition of the irritative zone has been challenging. Here, we introduce a quantitative approach toward exploration of the dynamics of IED propagation within the irritative zone. METHODS: We examined intracranial EEG (iEEG) in nine participants undergoing invasive monitoring for seizure localization. We used an automated IED detector and a community detection algorithm to identify populations of electrodes exhibiting IED activity that co-occur in time, and to group these electrodes into communities. RESULTS: Within our algorithmically-identified communities, IED activity in the seizure onset zone (SOZ) tended to lead IED activity in other functionally coupled brain regions. The tendency of pathological activity to arise in the SOZ, and to spread to non-SOZ tissues, was greater in the asleep state. CONCLUSIONS: IED activity, and, by extension, the variability observed between the asleep and awake states, is propagated from a core seizure focus to nearby less pathological brain regions. SIGNIFICANCE: Using an unsupervised, computational approach, we show that the spread of IED activity through the epilepsy network varies with physiologic state. Published by Elsevier B.V.
OBJECTIVE: Due to variability in the patterns of propagation of interictal epileptiform discharges (IEDs), qualitative definition of the irritative zone has been challenging. Here, we introduce a quantitative approach toward exploration of the dynamics of IED propagation within the irritative zone. METHODS: We examined intracranial EEG (iEEG) in nine participants undergoing invasive monitoring for seizure localization. We used an automated IED detector and a community detection algorithm to identify populations of electrodes exhibiting IED activity that co-occur in time, and to group these electrodes into communities. RESULTS: Within our algorithmically-identified communities, IED activity in the seizure onset zone (SOZ) tended to lead IED activity in other functionally coupled brain regions. The tendency of pathological activity to arise in the SOZ, and to spread to non-SOZ tissues, was greater in the asleep state. CONCLUSIONS: IED activity, and, by extension, the variability observed between the asleep and awake states, is propagated from a core seizure focus to nearby less pathological brain regions. SIGNIFICANCE: Using an unsupervised, computational approach, we show that the spread of IED activity through the epilepsy network varies with physiologic state. Published by Elsevier B.V.
Authors: J M Paolicchi; P Jayakar; P Dean; I Yaylali; G Morrison; A Prats; T Resnik; L Alvarez; M Duchowny Journal: Neurology Date: 2000-02-08 Impact factor: 9.910
Authors: Eishi Asano; Otto Muzik; Aashit Shah; Csaba Juhász; Diane C Chugani; Sandeep Sood; James Janisse; Eser Lay Ergun; Judy Ahn-Ewing; Chenggang Shen; Jean Gotman; Harry T Chugani Journal: Epilepsia Date: 2003-03 Impact factor: 5.864
Authors: S Francione; P Vigliano; L Tassi; F Cardinale; R Mai; G Lo Russo; C Munari Journal: J Neurol Neurosurg Psychiatry Date: 2003-11 Impact factor: 10.154
Authors: Robert J Quon; Stephen Meisenhelter; Richard H Adamovich-Zeitlin; Yinchen Song; Sarah A Steimel; Edward J Camp; Markus E Testorf; Todd A MacKenzie; Robert E Gross; Bradley C Lega; Michael R Sperling; Michael J Kahana; Barbara C Jobst Journal: Epilepsia Date: 2020-12-17 Impact factor: 5.864