Objective: To clarify the clinical and neurophysiological profiles of fronto-parietal opercular epilepsy in which epileptic spikes are detected with magnetoencephalography (MEG) but not with scalp electroencephalography (EEG).
Methods: Four patients presented with epileptic spikes localized to the fronto-parietal opercular cortex, which were only appreciated following MEG recordings.
Results: In all cases, seizure semiology suggested early activation of the operculum and lower peri-rolandic cortex consistent with the somatotopic organization of this region, i.e. tingling sensation involving the throat and hemi-face or contralateral upper limb, and spasms of the neck and throat. MEG spikes were localized in the fronto-parietal operculum. Three of the four patients underwent invasive electrocorticography and/or stereo-EEG recordings, and spikes were confirmed to arise from the estimated area of MEG dipole localization. Two patients remained seizure-free for over 1 year after resection of the epileptogenic region; the other patient declined resective surgery due to proximity to the language cortex.
Conclusion: This study demonstrates the usefulness of MEG in localizing spikes arising from within the fronto-parietal opercular regions, and implies that MEG may provide localizing information in patients with symptoms suggestive of opercular epilepsy, even if scalp EEG recordings fail to disclose any epileptogenic activities.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3645283 | PMC |
| http://dx.doi.org/10.1016/j.eplepsyres.2012.05.003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Using dynamic graph convolutional network to identify individuals with major depression disorder.
J Affect Disord
February 2025
Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China. Electronic address:
Article Synopsis
- Neuroimaging biomarkers are essential for diagnosing major depressive disorder (MDD), yet past research has had limitations like small sample sizes and inadequate focus on the neural connectome.
- The study utilized Dynamic Graph Convolutional Nets (DGCNs) on a dataset of 2317 resting state fMRI scans from 1081 MDD patients and 1236 healthy controls, achieving an accuracy of 82.5%.
- Key findings indicated that important brain connectivity patterns for classifying MDD were found in networks such as the default mode, fronto-parietal, and cingulo-opercular networks, highlighting DGCN's value in understanding MDD.
Reconfiguration of functional brain network organization and dynamics with changing cognitive demands in children with attention-deficit/hyperactivity disorder.
Biol Psychiatry Cogn Neurosci Neuroimaging
November 2024
Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address:
Background: The pathophysiology of attention-deficit/hyperactivity disorder (ADHD) is characterized by atypical brain network organization and dynamics. Although functional brain networks adaptively reconfigure across cognitive contexts, previous studies have largely focused on network dysfunction during the resting-state. This preliminary study examined how functional brain network organization and dynamics flexibly reconfigure across rest and two cognitive control tasks with different cognitive demands in 30 children with ADHD and 36 typically developing (TD) children (8-12 years).
View Article and Find Full Text PDFAssociations among environmental unpredictability, changes in resting-state functional connectivity, and adolescent psychopathology in the ABCD study.
Psychol Med
November 2024
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Background: Unpredictability is a core but understudied dimension of adversities and has been receiving increasing attention recently. The effects of unpredictability on psychopathology and the underlying neural mechanisms, however, remain unclear. It is also unknown how unpredictability interacts with other dimensions of adversities in predicting brain development and psychopathology of youth.
View Article and Find Full Text PDFFunctional brain networks in clinical high-risk for bipolar disorder and psychosis.
Psychiatry Res
December 2024
Department of Neurosciences, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Victoria, Australia.
Abnormal connectivity in the brain has been linked to the pathophysiology of severe mental illnesses, including bipolar disorder and schizophrenia. The current study aimed to investigate large-scale functional networks and global network metrics in clinical high-risk for bipolardisorder (CHR-BD, n = 25), clinical high-risk for psychosis (CHR-P, n = 30), and healthy controls (HCs, n = 19). Help-seeking youth at CHR-BD and CHR-P were recruited from the early intervention program at Dokuz Eylul University, Izmir, Turkey.
View Article and Find Full Text PDFDelay discounting and nucleus accumbens functional connectivity are related to weight status in adolescents from the ABCD study.
Pediatr Obes
September 2024
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Background: Despite the growing epidemic of paediatric obesity, questions remain regarding potential neural mechanisms for individual risk. Delay discounting is a cognitive process of comparison of valuation between immediate and delayed reward, which has been inconsistently linked to weight status. Moreover, central to the brain's reward system is the nucleus accumbens, a region structurally and functionally altered in obesity.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!