We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App

New Method for Triggering and Imaging Seizures to Help Guide Epilepsy Surgery

By MedImaging International staff writers
Posted on 13 Mar 2024
Print article
Image: Overview of the seizure triggering electrodes and the brain reconstruction method (Photo courtesy of University Hospital of Bern)
Image: Overview of the seizure triggering electrodes and the brain reconstruction method (Photo courtesy of University Hospital of Bern)

Individuals experiencing epilepsy and seizures unmanageable with medication often find brain surgery beneficial. This procedure aims to excise the epileptic tissue while preserving healthy tissue, thus controlling seizures without inducing neurological damage. Accurately identifying the epileptic tissue is crucial for the success of such surgeries, and the acquisition of images during seizures can significantly enhance the precision of surgical planning. Traditionally, ictal SPECT has been the exclusive neuro-imaging technique capable of capturing seizures as they occur within the brain since the 1990s. Yet, the increasing demands on healthcare resources and time have led many epilepsy centers to forgo this informative method. A new approach for inducing and imaging seizures could now enable clinicians to obtain real-time insights for customizing epilepsy surgery more effectively.

In comparison to the previous approach, where physicians from neurology and nuclear medicine waited for hours to days to capture the onset of a seizure, the new method developed by researchers at University Hospital of Bern (Bern, Switzerland), is more convenient, requires fewer resources, and is clinically feasible. In their study involving three adult subjects with left temporal lobe epilepsy, the researchers decided not to wait for spontaneous occurrences and instead imaged planned seizures that were triggered with targeted electrical stimulation to the brain. The research team employed stereotactic electroencephalography (sEEG) leads placed in specific brain regions to induce seizures characteristic of each patient. A radiotracer, 99mTc-HMPAO, was administered within 12 seconds of the seizure's start, with SPECT imaging following within 40 minutes.

The method successfully triggered seizures in all the participants, replicating each patient's typical seizure presentation and electrographic pattern observed through sEEG, without causing any adverse effects. The seizures induced were specific for each patient, with early seizure spread being uniquely imaged. In the first two cases, ictal SPECT provided additional insights beyond those offered by sEEG, highlighting the early involvement of brain regions lacking electrode coverage. In the third case, both sEEG and ictal SPECT provided overlapping information.

“The finding of this study is of practical nature, as it greatly facilitates the acquisition of the ictal SPECT,” said Thomas Pyka, MD, Privatdozent in the Department of Nuclear Medicine at the University Hospital of Bern. “This may help obtain images of greater quality and could contribute to the refinement of resection planning, improving seizure and cognitive outcomes in epilepsy surgery.”

Related Links:
University Hospital of Bern

Gold Member
Solid State Kv/Dose Multi-Sensor
Trimline Basic
Radiation Therapy Treatment Software Application
Elekta ONE
Ultrasound Catheter Connector Cover

Print article



view channel
Image: The artificial intelligence model outperformed clinical tests at predicting the progress of Alzheimer’s disease (Photo courtesy of 123RF)

AI Outperforms Clinical Tests at Predicting Alzheimer’s Progress from MRI Scans

Dementia is a major global health challenge, impacting over 55 million individuals worldwide and costing approximately USD 820 billion annually. Projections indicate that the number of cases will nearly... Read more


view channel
Image: The new FDA-cleared AI-enabled applications have been integrated into the EPIQ CVx and Affiniti CVx ultrasound systems (Photo courtesy of Royal Philips)

Next-Gen AI-Enabled Cardiovascular Ultrasound Platform Speeds Up Analysis

Heart failure is a significant global health challenge, affecting approximately 64 million individuals worldwide. It is associated with high mortality rates and poor quality of life, placing a considerable... Read more

General/Advanced Imaging

view channel
Image: The NeuroLF ultra-compact brain Positron Emission Tomography (PET) scanner (Photo courtesy of Positrigo)

Breakthrough Brain PET System Aids Diagnosis of Neurological Disorders

Alzheimer's disease (AD) is the most prevalent type of dementia, representing approximately 70% of all dementia cases in individuals over 60 years of age. As of 2020, there were more than 55 million people... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: Calantic Digital Solutions is an orchestrated suite of AI radiology solutions that aims to transform radiology (Photo courtesy of Bayer)

Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions

Imaging data constitutes approximately 90% of all medical data, with the volume of such data continuously expanding, thereby significantly increasing the workload for radiologists amid existing resource limitations.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.