Aim: To describe the general aspects of cavernomas and epilepsy and review the available literature on the utility of electrocorticography (ECoG) in cerebral cavernoma surgery.
Methods: We searched studies in PubMed, MedLine, Scopus, Web of Science, and Google Scholar (from January 1969 to December 2013) using the keywords "electrocorticography" or "ECoG" or "prognosis" or "outcome" and "cavernomas". Original articles that reported utility of ECoG in epilepsy surgery were included. Four review authors independently selected the studies, extracted data, and assessed the methodological quality of the studies using the recommendations of the Cochrane Handbook for Systematic Reviews of Interventions, PRISMA guidelines, and Jadad Scale. A meta-analysis was not possible due to methodological, clinical, and statistical heterogeneity of included studies. We analysed six articles with a total of 219 patients.
Results: The most common surgical approach was lesionectomy using ECoG in the temporal lobe with Engel I outcome range from 72.7 to 100%.
Conclusions: Small controlled studies suggest that ECoG-guided resection offers the best functional results in seizure control for subjects undergoing cavernoma surgery, especially in the temporal lobe.
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http://dx.doi.org/10.1684/epd.2014.0674 | DOI Listing |
Sci Data
December 2024
Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Interictal epileptiform discharges (IEDs) such as spikes and sharp waves represent pathological electrophysiological activities occurring in epilepsy patients between seizures. IEDs occur preferentially during non-rapid eye movement (NREM) sleep and are associated with impaired memory and cognition. Despite growing interest, most studies involving IED detections rely on visual annotations or employ simple amplitude threshold approaches.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China. Electronic address:
This study introduces a novel method for acquiring brain electrical signals comparable to intracranial recordings without the health risks associated with implanted electrodes. We developed a technique using ultrasonic tools to create micro-holes in the skull and insert hollow implants, preventing natural healing. This approach establishes an artificial ionic current path (AICP) using tissue fluid, facilitating signal transmission from the cortex to the scalp surface.
View Article and Find Full Text PDFEpilepsia Open
December 2024
Department of Neuroscience, Corewell Health, Grand Rapids, Michigan, USA.
medRxiv
September 2024
Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Objective: Brain-Computer Interfaces (BCIs) hold significant promise for restoring communication in individuals with partial or complete loss of the ability to speak due to paralysis from amyotrophic lateral sclerosis (ALS), brainstem stroke, and other neurological disorders. Many of the approaches to speech decoding reported in the BCI literature have required time-aligned target representations to allow successful training - a major challenge when translating such approaches to people who have already lost their voice.
Approach: In this pilot study, we made a first step toward scenarios in which no ground truth is available.
Prog Neurobiol
October 2024
Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, United States; Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, United States; Memorial Hermann Hospital, Texas Medical Center, Houston, TX 77030, United States. Electronic address:
How we combine minimal linguistic units into larger structures remains an unresolved topic in neuroscience. Language processing involves the abstract construction of 'vertical' and 'horizontal' information simultaneously (e.g.
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