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Mesial‐to‐lateral gradients of epileptiform activity to localize mesial temporal lobe epilepsy.

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Title: Mesial‐to‐lateral gradients of epileptiform activity to localize mesial temporal lobe epilepsy.
Authors: Aguila, Carlos A. (AUTHOR), Lucas, Alfredo (AUTHOR), Lavelle, Sarah (AUTHOR), Pattnaik, Akash R. (AUTHOR), Kim, Juri (AUTHOR), Ojemann, William K. S. (AUTHOR), Ma, Devin (AUTHOR), Josyula, Mariam (AUTHOR), Petillo, Nina (AUTHOR), LaRocque, Joshua J. (AUTHOR), Sinha, Saurabh R. (AUTHOR), Ellis, Colin A. (AUTHOR), Parashos, Alexandra (AUTHOR), Gleichgerrcht, Ezequiel (AUTHOR), Davis, Kathryn A. (AUTHOR), Litt, Brian (AUTHOR), Conrad, Erin C. (AUTHOR)
Source: Epilepsia (Series 4). Sep2025, Vol. 66 Issue 9, p3491-3504. 14p.
Subjects: Temporal lobe epilepsy, Epilepsy, Electrophysiology, Electroencephalography, Medical research, Surgery, Diagnosis, Epileptiform discharges
Abstract: Objective: Mesial temporal lobe epilepsy is a common localization of drug‐resistant epilepsy in adults. Patients often undergo intracranial electroencephalographic monitoring to confirm localization and determine candidacy for focal ablation or resection. Clinicians primarily base surgical decision‐making on seizure onset patterns, with imaging abnormalities and information from interictal epileptiform discharge (spikes) used as ancillary data. How the morphology and timing of spikes within multielectrode sequences may inform surgical planning is unknown, in part due to the lack of measurement methods for large datasets. We hypothesized that patients with mesial temporal lobe epilepsy have a distinct mesial‐to‐lateral spike gradient that differentiates them from other epilepsy localizations. Methods: In a multicenter study at the University of Pennsylvania and the Medical University of South Carolina, we analyzed the timing and morphology of spikes and seizure high‐frequency energy ratio in 75 patients with drug‐resistant epilepsy. We compared these features across patients with mesial temporal lobe epilepsy, temporal neocortical epilepsy, and other localizations. Results: A logistic regression model combining all features predicted a clinical localization of mesial temporal lobe epilepsy in unseen patients with an area under the receiver operating characteristic curve of.82 (compared to an area under the receiver operating characteristic curve of.70 for seizure‐only features, DeLong test p =.08) and an average precision of.84. Spike rate was the most important feature in the combined model. Significance: These findings advance surgical planning by demonstrating that quantitative spike analysis can effectively supplement seizure data in localizing mesial temporal lobe epilepsy. This approach could reduce reliance on prolonged seizure monitoring, potentially decreasing patient risk and hospitalization costs while improving surgical targeting. Our results support incorporating automated spike analysis into standard clinical workflows for epilepsy surgery evaluation. [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
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PubType: Academic Journal
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  Data: Mesial‐to‐lateral gradients of epileptiform activity to localize mesial temporal lobe epilepsy.
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  Data: <searchLink fieldCode="AR" term="%22Aguila%2C+Carlos+A%2E%22">Aguila, Carlos A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lucas%2C+Alfredo%22">Lucas, Alfredo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lavelle%2C+Sarah%22">Lavelle, Sarah</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pattnaik%2C+Akash+R%2E%22">Pattnaik, Akash R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Juri%22">Kim, Juri</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ojemann%2C+William+K%2E+S%2E%22">Ojemann, William K. S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Devin%22">Ma, Devin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Josyula%2C+Mariam%22">Josyula, Mariam</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Petillo%2C+Nina%22">Petillo, Nina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22LaRocque%2C+Joshua+J%2E%22">LaRocque, Joshua J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sinha%2C+Saurabh+R%2E%22">Sinha, Saurabh R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ellis%2C+Colin+A%2E%22">Ellis, Colin A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Parashos%2C+Alexandra%22">Parashos, Alexandra</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gleichgerrcht%2C+Ezequiel%22">Gleichgerrcht, Ezequiel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Davis%2C+Kathryn+A%2E%22">Davis, Kathryn A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Litt%2C+Brian%22">Litt, Brian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Conrad%2C+Erin+C%2E%22">Conrad, Erin C.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Epilepsia+%28Series+4%29%22">Epilepsia (Series 4)</searchLink>. Sep2025, Vol. 66 Issue 9, p3491-3504. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Temporal+lobe+epilepsy%22">Temporal lobe epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Epilepsy%22">Epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Electrophysiology%22">Electrophysiology</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research%22">Medical research</searchLink><br /><searchLink fieldCode="DE" term="%22Surgery%22">Surgery</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Epileptiform+discharges%22">Epileptiform discharges</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: Mesial temporal lobe epilepsy is a common localization of drug‐resistant epilepsy in adults. Patients often undergo intracranial electroencephalographic monitoring to confirm localization and determine candidacy for focal ablation or resection. Clinicians primarily base surgical decision‐making on seizure onset patterns, with imaging abnormalities and information from interictal epileptiform discharge (spikes) used as ancillary data. How the morphology and timing of spikes within multielectrode sequences may inform surgical planning is unknown, in part due to the lack of measurement methods for large datasets. We hypothesized that patients with mesial temporal lobe epilepsy have a distinct mesial‐to‐lateral spike gradient that differentiates them from other epilepsy localizations. Methods: In a multicenter study at the University of Pennsylvania and the Medical University of South Carolina, we analyzed the timing and morphology of spikes and seizure high‐frequency energy ratio in 75 patients with drug‐resistant epilepsy. We compared these features across patients with mesial temporal lobe epilepsy, temporal neocortical epilepsy, and other localizations. Results: A logistic regression model combining all features predicted a clinical localization of mesial temporal lobe epilepsy in unseen patients with an area under the receiver operating characteristic curve of.82 (compared to an area under the receiver operating characteristic curve of.70 for seizure‐only features, DeLong test p =.08) and an average precision of.84. Spike rate was the most important feature in the combined model. Significance: These findings advance surgical planning by demonstrating that quantitative spike analysis can effectively supplement seizure data in localizing mesial temporal lobe epilepsy. This approach could reduce reliance on prolonged seizure monitoring, potentially decreasing patient risk and hospitalization costs while improving surgical targeting. Our results support incorporating automated spike analysis into standard clinical workflows for epilepsy surgery evaluation. [ABSTRACT FROM AUTHOR]
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  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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=188366460
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        Value: 10.1111/epi.18462
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        Text: English
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      – SubjectFull: Temporal lobe epilepsy
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      – SubjectFull: Electrophysiology
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      – SubjectFull: Epileptiform discharges
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              Text: Sep2025
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