Perturbation‐induced responses improved seizure forecasting in epileptic rats.
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| Title: | Perturbation‐induced responses improved seizure forecasting in epileptic rats. |
|---|---|
| Authors: | Chang, Wei‐Chih (AUTHOR), Lin, Jack (AUTHOR), Cheung, Warwick (AUTHOR), Lai, Alan (AUTHOR), Cook, Mark J. (AUTHOR), Grayden, David B. (AUTHOR), Stacey, William C. (AUTHOR) |
| Source: | Epilepsia (Series 4). Jun2026, Vol. 67 Issue 6, p3158-3170. 13p. |
| Subjects: | Brain stimulation, Biomarkers, Animal models in research, Epilepsy, Neurological disorders, Electroencephalography |
| Abstract: | Objective: The unpredictability of seizures is one of the most challenging aspects of uncontrolled epilepsy for patients. Prior work forecasting seizure risk has measured changes in passive intracranial electroencephalographic (EEG) signals, but currently, there are no such clinical devices available. Based upon dynamical theory, we hypothesized that the response of the brain to perturbing stimulation provides a robust measurement of seizure risk that outperforms the results from passive EEG. Methods: To test the hypothesis, we performed more than 8 weeks of periodic electrical stimulation and continuous EEG recordings in epileptic rats induced by intrahippocampal injection of tetanus toxin, in which seizures started spontaneously. Results: Using the perturbation‐evoked responses as a predictive biomarker of seizure risk, we built a preictal detection system that had excellent accuracy (area under the receiver operating characteristic curve >.95) at distinguishing the preictal from the interictal states. In comparison, a similar preictal detection system that used only passive features from the same experimental animals was unable to identify the preictal state better than chance. Significance: Our results advocate for perturbation to be used for seizure prediction purposes, which could improve the efficacy of seizure forecasting when applied clinically. [ABSTRACT FROM AUTHOR] |
| Copyright of Epilepsia (Series 4) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 194752830 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Perturbation‐induced responses improved seizure forecasting in epileptic rats. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chang%2C+Wei‐Chih%22">Chang, Wei‐Chih</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Jack%22">Lin, Jack</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheung%2C+Warwick%22">Cheung, Warwick</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lai%2C+Alan%22">Lai, Alan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cook%2C+Mark+J%2E%22">Cook, Mark J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grayden%2C+David+B%2E%22">Grayden, David B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stacey%2C+William+C%2E%22">Stacey, William C.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Epilepsia+%28Series+4%29%22">Epilepsia (Series 4)</searchLink>. Jun2026, Vol. 67 Issue 6, p3158-3170. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Brain+stimulation%22">Brain stimulation</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Animal+models+in+research%22">Animal models in research</searchLink><br /><searchLink fieldCode="DE" term="%22Epilepsy%22">Epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Neurological+disorders%22">Neurological disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: The unpredictability of seizures is one of the most challenging aspects of uncontrolled epilepsy for patients. Prior work forecasting seizure risk has measured changes in passive intracranial electroencephalographic (EEG) signals, but currently, there are no such clinical devices available. Based upon dynamical theory, we hypothesized that the response of the brain to perturbing stimulation provides a robust measurement of seizure risk that outperforms the results from passive EEG. Methods: To test the hypothesis, we performed more than 8 weeks of periodic electrical stimulation and continuous EEG recordings in epileptic rats induced by intrahippocampal injection of tetanus toxin, in which seizures started spontaneously. Results: Using the perturbation‐evoked responses as a predictive biomarker of seizure risk, we built a preictal detection system that had excellent accuracy (area under the receiver operating characteristic curve >.95) at distinguishing the preictal from the interictal states. In comparison, a similar preictal detection system that used only passive features from the same experimental animals was unable to identify the preictal state better than chance. Significance: Our results advocate for perturbation to be used for seizure prediction purposes, which could improve the efficacy of seizure forecasting when applied clinically. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Epilepsia (Series 4) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/epi.70196 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 3158 Subjects: – SubjectFull: Brain stimulation Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Animal models in research Type: general – SubjectFull: Epilepsy Type: general – SubjectFull: Neurological disorders Type: general – SubjectFull: Electroencephalography Type: general Titles: – TitleFull: Perturbation‐induced responses improved seizure forecasting in epileptic rats. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chang, Wei‐Chih – PersonEntity: Name: NameFull: Lin, Jack – PersonEntity: Name: NameFull: Cheung, Warwick – PersonEntity: Name: NameFull: Lai, Alan – PersonEntity: Name: NameFull: Cook, Mark J. – PersonEntity: Name: NameFull: Grayden, David B. – PersonEntity: Name: NameFull: Stacey, William C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00139580 Numbering: – Type: volume Value: 67 – Type: issue Value: 6 Titles: – TitleFull: Epilepsia (Series 4) Type: main |
| ResultId | 1 |
