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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Updated: Jul 6, 2025

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

Interictal Electrical Source Imaging.

Stefan Rampp^1,2, Nadia Müller-Voggel¹, Hajo Hamer³

¹Department of Neurosurgery, University Hospital Erlangen, Germany.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society

|January 5, 2024

Summary

This summary is machine-generated.

Interictal electrical source imaging (ESI) pinpoints seizure origins in the brain using patient-specific models. This technique offers diagnostic performance comparable to other neuroimaging methods for epilepsy surgery evaluation.

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Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Area of Science:

Neuroscience
Medical Imaging
Computational Modeling

Background:

Epilepsy surgery requires precise localization of seizure onset zones.
Pharmacoresistant focal epilepsies necessitate advanced diagnostic tools for surgical candidacy assessment.
Interictal electrical source imaging (ESI) analyzes non-seizure brain activity to identify epileptic neuronal generators.

Purpose of the Study:

To provide an overview of the application and clinical value of interictal ESI in patients with pharmacoresistant focal epilepsies.
To discuss the neurophysiological constraints and technical considerations of interictal ESI.
To explore novel markers for improving interictal source analysis.

Main Methods:

Utilizes computational models incorporating individual patient's anatomic and neuronal characteristics.
Applies electrical source imaging to electroencephalography (EEG) data recorded between seizures.
Considers high-density EEG recordings for enhanced accuracy, but also demonstrates value with limited electrode coverage.

Main Results:

Interictal ESI demonstrates diagnostic performance on par with established neuroimaging techniques like MRI, PET, and SPECT.
The method provides valuable localization information even with limited EEG electrode coverage.
Novel oscillatory markers and frequency coupling/connectivity integration show potential for future accuracy improvements.

Conclusions:

Interictal ESI is a valuable tool for evaluating patients with pharmacoresistant focal epilepsies for epilepsy surgery.
Its accuracy can be further enhanced by high-density recordings and novel analytical approaches.
Integration into clinical routine is feasible and offers significant diagnostic utility.