Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes

Title: High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes
Authors: Dwivedi, Anuj Kumar; Mahesh, Arun; Sanfeliu, Albert; Larkin, Julian; Siwicki, Rebecca A.; Sweeney, Kieron J.; O’Brien, Donncha F.; Widdess-Walsh, Peter; Picelli, Simone; Henshall, David C.; Tiwari, Vijay K.
Source: Dwivedi, A K, Mahesh, A, Sanfeliu, A, Larkin, J, Siwicki, R A, Sweeney, K J, O’Brien, D F, Widdess-Walsh, P, Picelli, S, Henshall, D C & Tiwari, V K 2025, 'High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes', JCI Insight, vol. 10, no. 1, e184518. https://doi.org/10.1172/jci.insight.184518
Publication Year: 2025
Collection: University of Southern Denmark: Research Output / Syddansk Universitet
Description: The availability and integration of electrophysiological and molecular data from the living brain is critical in understanding and diagnosing complex human disease. Intracranial stereo electroencephalography (SEEG) electrodes used for identifying the seizure focus in patients with epilepsy could enable the integration of such multimodal data. Here, we report multimodal profiling of epileptic brain activity via explanted depth electrodes (MoPEDE), a method that recovers extensive protein-coding transcripts, including cell type markers, DNA methylation, and short variant profiles from explanted SEEG electrodes matched with electrophysiological and radiological data allowing for high-resolution reconstructions of brain structure and function. We found gene expression gradients that corresponded with the neurophysiology-assigned epileptogenicity index but also outlier molecular fingerprints in some electrodes, potentially indicating seizure generation or propagation zones not detected during electroclinical assessments. Additionally, we identified DNA methylation profiles indicative of transcriptionally permissive or restrictive chromatin states and SEEG-adherent differentially expressed and methylated genes not previously associated with epilepsy. Together, these findings validate that RNA profiles and genome-wide epigenetic data from explanted SEEG electrodes offer high-resolution surrogate molecular landscapes of brain activity. The MoPEDE approach has the potential to enhance diagnostic decisions and deepen our understanding of epileptogenic network processes in the human brain.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 2379-3708
Relation: info:eu-repo/semantics/altIdentifier/pmid/39541170; info:eu-repo/semantics/altIdentifier/pissn/2379-3708; info:eu-repo/semantics/altIdentifier/eissn/2379-3708
DOI: 10.1172/jci.insight.184518
Availability: https://portal.findresearcher.sdu.dk/da/publications/6ed19425-b8aa-49ac-af99-866061dd5771; https://doi.org/10.1172/jci.insight.184518; https://findresearcher.sdu.dk/ws/files/281988025/184518.2-20241220161329-covered-e0fd13ba177f913fd3156f593ead4cfd.pdf
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.7363B64D
Database: BASE