Researchers from Professor Vijay Tiwari’s research group at the Department of Molecular Medicine, University of Southern Denmark, have developed a new method called MoPEDE, which has the potential to improve epilepsy treatment. The method combines brain measurements with genetic analyses, offering deeper insights into the origins and mechanisms of epileptic seizures.
How MoPEDE works: Bridging genetics and brain measurements
Epilepsy is a condition that occurs when the brain suddenly sends irregular signals, triggering seizures. Pinpointing the exact regions in the brain where seizures originate is essential for effective patient care. The MoPEDE method uses SEEG electrodes, which not only record the brain’s electrical activity but also collect biological material such as RNA and DNA from affected areas.
“We can now extract valuable genetic information from a very small amount of material,” explains Dr Arun Mahesh Mariappan, Adjunct Professor, Department of Molecular Medicine.
-This data sheds light on why some brain regions trigger seizures while others remain unaffected.
A step towards personalised treatments
MoPEDE was developed in close collaboration with Professor David Henshall’s team at RCSI in Dublin. By combining genetic data with detailed brain measurements, the method offers doctors a more precise map of epileptic regions. This is especially beneficial for patients who do not respond to medication or require surgical intervention.
“For the first time, we can accurately link specific genetic patterns to epileptic regions in the brain,” says Dr Anuj Dwivedi, Postdoc, Department of Molecular Medicine.
The findings could pave the way for personalised, patient-specific treatments.

Promising results and future potential
In the long term, the method not only has the potential to enhance diagnosis but could also contribute to the development of new treatment approaches tailored to different types of epilepsy.
For the many patients and their families, this means better everyday lives with fewer uncertainties and more effective treatments. Researchers hope MoPEDE will soon be incorporated into clinical practice, helping more individuals achieve greater control over their epilepsy.
Researchers from Professor Vijay Tiwari’s research group at the Department of Molecular Medicine, University of Southern Denmark, have developed a new method called MoPEDE, which has the potential to improve epilepsy treatment. The method combines brain measurements with genetic analyses, offering deeper insights into the origins and mechanisms of epileptic seizures.
How MoPEDE works: Bridging genetics and brain measurements
Epilepsy is a condition that occurs when the brain suddenly sends irregular signals, triggering seizures. Pinpointing the exact regions in the brain where seizures originate is essential for effective patient care. The MoPEDE method uses SEEG electrodes, which not only record the brain’s electrical activity but also collect biological material such as RNA and DNA from affected areas.
-This data sheds light on why some brain regions trigger seizures while others remain unaffected.
A step towards personalised treatments
MoPEDE was developed in close collaboration with Professor David Henshall’s team at RCSI in Dublin. By combining genetic data with detailed brain measurements, the method offers doctors a more precise map of epileptic regions. This is especially beneficial for patients who do not respond to medication or require surgical intervention.
The findings could pave the way for personalised, patient-specific treatments.
Promising results and future potential
In the long term, the method not only has the potential to enhance diagnosis but could also contribute to the development of new treatment approaches tailored to different types of epilepsy.
For the many patients and their families, this means better everyday lives with fewer uncertainties and more effective treatments. Researchers hope MoPEDE will soon be incorporated into clinical practice, helping more individuals achieve greater control over their epilepsy.
Facts about the MoPEDE method and its potential
How does MoPEDE work?
MoPEDE (Multimodal Profiling of Epileptic Brain Activity via Explanted Depth Electrodes) uses SEEG electrodes, which are placed in the brain during epilepsy diagnostics.
When the electrodes are removed, biological material such as RNA and DNA is analysed using advanced techniques like RNA sequencing and DNA methylation analysis.
The data is combined with brain measurements to create a detailed map of epileptic regions.
What has the method demonstrated?
Limitations and next steps:
Source – University of Southern Denmark
Dwivedi AK, Mahesh A, Sanfeliu A, Larkin J, Siwicki RA, Sweeney KJ, O’Brien DF, Widdess-Walsh P, Picelli S, Henshall DC, Tiwari VK. (2024) High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes. JCI Insight [Epub ahead of print]. [article]
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Researchers from Professor Vijay Tiwari’s research group at the Department of Molecular Medicine, University of Southern Denmark, have developed a new method called MoPEDE, which has the potential to improve epilepsy treatment. The method combines brain measurements with genetic analyses, offering deeper insights into the origins and mechanisms of epileptic seizures.
How MoPEDE works: Bridging genetics and brain measurements
Epilepsy is a condition that occurs when the brain suddenly sends irregular signals, triggering seizures. Pinpointing the exact regions in the brain where seizures originate is essential for effective patient care. The MoPEDE method uses SEEG electrodes, which not only record the brain’s electrical activity but also collect biological material such as RNA and DNA from affected areas.
-This data sheds light on why some brain regions trigger seizures while others remain unaffected.
A step towards personalised treatments
MoPEDE was developed in close collaboration with Professor David Henshall’s team at RCSI in Dublin. By combining genetic data with detailed brain measurements, the method offers doctors a more precise map of epileptic regions. This is especially beneficial for patients who do not respond to medication or require surgical intervention.
The findings could pave the way for personalised, patient-specific treatments.
Promising results and future potential
In the long term, the method not only has the potential to enhance diagnosis but could also contribute to the development of new treatment approaches tailored to different types of epilepsy.
For the many patients and their families, this means better everyday lives with fewer uncertainties and more effective treatments. Researchers hope MoPEDE will soon be incorporated into clinical practice, helping more individuals achieve greater control over their epilepsy.
Facts about the MoPEDE method and its potential
How does MoPEDE work?
MoPEDE (Multimodal Profiling of Epileptic Brain Activity via Explanted Depth Electrodes) uses SEEG electrodes, which are placed in the brain during epilepsy diagnostics.
When the electrodes are removed, biological material such as RNA and DNA is analysed using advanced techniques like RNA sequencing and DNA methylation analysis.
The data is combined with brain measurements to create a detailed map of epileptic regions.
What has the method demonstrated?
Limitations and next steps:
Source – University of Southern Denmark
Dwivedi AK, Mahesh A, Sanfeliu A, Larkin J, Siwicki RA, Sweeney KJ, O’Brien DF, Widdess-Walsh P, Picelli S, Henshall DC, Tiwari VK. (2024) High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes. JCI Insight [Epub ahead of print]. [article]
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Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
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