Beamforming Technique May Improve Epilepsy Surgery Outcomes
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In brief
In brief
Cincinnati Children's researchers demonstrate that user-defined virtual sensor beamforming enhances MEG imaging to identify seizure onset zones beyond the temporal lobe that conventional methods miss. This technique may improve surgical outcomes for the 25% of pediatric epilepsy patients who continue experiencing seizures after temporal lobectomy.
Written by the GCMD Library team from the article.
Beamforming Technique May Improve Epilepsy Surgery Outcomes - Research Horizons Research Horizons Home Findings Features Announcements Learning Newsletter Subscribe Subspecialty News All Categories Announcements Features Findings Learning & Networking Search Search Home Findings Features Announcements Learning Newsletter Subscribe Subspecialty News Home Findings Imaging Sciences Beamforming Technique May Improve Epilepsy Surgery Outcomes Beamforming Technique May Improve Epilepsy Surgery Outcomes Research By: Jeffrey Tenney, MD, PhD | Hansel Greiner, MD Post Date: January 7, 2025 | Publish Date: Dec. 30, 2024 Share on X Share on LinkedIn Share by Email brain epilepsy seizures Even with years of improvements in surgical procedures to treat epilepsy seizures, up to 25% of children receiving temporal lobectomies continue to suffer from seizures. Now, a study led by researchers at Cincinnati Children’s reports that an imaging technique called user-defined virtual sensor (UDvs) beamforming can help experts find seizure onset zones beyond the temporal lobe that other methods often cannot detect. Findings were published online Dec. 30, 2024, in Epilepsia . Beamforming is a signal processing technique that enhances non-invasive MEG (magnetoencephalography) scans to allow more accurate pinpointing of sources of neural activity within deep brain tissues. In this study—led by Jeffrey Tenney, MD, PhD, and Hansel Greiner, MD, with the Division of Neurology at Cincinnati Children’s—MEG-bas
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