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High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes
Anuj Kumar Dwivedi, … , David C. Henshall, Vijay K. Tiwari
Anuj Kumar Dwivedi, … , David C. Henshall, Vijay K. Tiwari
Published November 14, 2024
Citation Information: JCI Insight. 2025;10(1):e184518. https://doi.org/10.1172/jci.insight.184518.
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Research Article Neuroscience

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

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Abstract

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.

Authors

Anuj Kumar Dwivedi, Arun Mahesh, Albert Sanfeliu, Julian Larkin, Rebecca A. Siwicki, Kieron J. Sweeney, Donncha F. O’Brien, Peter Widdess-Walsh, Simone Picelli, David C. Henshall, Vijay K. Tiwari

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Figure 6

Transcriptional signatures associated with epileptogenicity index in epilepsy subtypes.

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Transcriptional signatures associated with epileptogenicity index in epi...
(A and B) Relationship between the EI and transcriptional signatures in TLE and RE brains. This figure displays the relationship between the EI and transcriptional signatures across different brain regions (set of genes differentially expressed in the same direction in our data and public data). We analyzed SOZ, PZ, and NIZ regions of TLE and RE. The results show that transcriptional signatures associated with a high epileptogenicity index (SOZ) in TLE and RE were also highly activated in epilepsy samples compared with healthy controls (data from an independent public dataset). Similarly, transcriptional signatures associated with a moderate epileptogenicity index (PZ) in nonlesional TLE and RE displayed increased activation in epilepsy compared with healthy controls (data from an independent public dataset). The activity of transcriptional signatures in excitatory and inhibitory neurons present in epilepsy and healthy controls. The ridge plots show the activity of transcriptional signatures within excitatory and inhibitory neurons. We compared the scores of signature genes associated with a high epileptogenicity index in excitatory and inhibitory neurons from both epilepsy and healthy samples. The results reveal a higher correlation between activity scores and the epileptogenicity index for these signature genes in excitatory and inhibitory neurons of epilepsy samples compared with their counterparts in healthy controls.

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