@article {4343, title = {Potential differences between monolingual and bilingual patients in approach and outcome after awake brain surgery.}, journal = {J Neurooncol}, volume = {148}, year = {2020}, month = {07/2020}, pages = {587-598}, abstract = {

INTRODUCTION: 20.8\% of the United States population and 67\% of the European population speak two or more languages. Intraoperative different languages, mapping, and localization are crucial. This investigation aims to address three questions between BL and ML patients: (1) Are there differences in complications (i.e. seizures) and DECS techniques during intra-operative brain mapping? (2) Is EOR different? and (3) Are there differences in the recovery pattern post-surgery?

METHODS: Data from 56 patients that underwent left-sided awake craniotomy for tumors infiltrating possible dominant hemisphere language areas from September 2016 to June 2019 were identified and analyzed in this study; 14 BL and 42 ML control patients. Patient demographics, education level, and the age of language acquisition were documented and evaluated. fMRI was performed on all participants.

RESULTS: 0 (0\%) BL and 3 (7\%) ML experienced intraoperative seizures (P = 0.73). BL patients received a higher direct DECS current in comparison to the ML patients (average = 4.7, 3.8, respectively, P = 0.03). The extent of resection was higher in ML patients in comparison to the BL patients (80.9 vs. 64.8, respectively, P = 0.04). The post-operative KPS scores were higher in BL patients in comparison to ML patients (84.3, 77.4, respectively, P = 0.03). BL showed lower drop in post-operative KPS in comparison to ML patients (- 4.3, - 8.7, respectively, P = 0.03).

CONCLUSION: We show that BL patients have a lower incidence of intra-operative seizures, lower EOR, higher post-operative KPS and tolerate higher DECS current, in comparison to ML patients.

}, keywords = {Brain Mapping, Brain Neoplasms, Craniotomy, Female, Follow-Up Studies, Glioma, Humans, Incidence, Language, Male, Middle Aged, Monitoring, Intraoperative, Prognosis, Retrospective Studies, Seizures, United States, Wakefulness}, issn = {1573-7373}, doi = {10.1007/s11060-020-03554-0}, author = {ReFaey, Karim and Tripathi, Shashwat and Bhargav, Adip G and Grewal, Sanjeet S and Middlebrooks, Erik H and Sabsevitz, David S and Jentoft, Mark and Peter Brunner and Wu, Adela and Tatum, William O and Ritaccio, Anthony and Chaichana, Kaisorn L and Quinones-Hinojosa, Alfredo} } @article {2201, title = {Proceedings of the first international workshop on advances in electrocorticography.}, journal = {Epilepsy Behav}, volume = {19}, year = {2010}, month = {10/2010}, pages = {204-15}, abstract = {

In October 2009, a group of neurologists, neurosurgeons, computational neuroscientists, and engineers congregated to present novel developments transforming human electrocorticography (ECoG) beyond its established relevance in clinical epileptology. The contents of the proceedings advanced the role of ECoG in seizure detection and prediction, neurobehavioral research, functional mapping, and brain-computer interface technology. The meeting established the foundation for future work on the methodology and application of surface brain recordings.

}, keywords = {Brain, Brain Mapping, Diagnosis, Computer-Assisted, Electroencephalography, Humans, International Cooperation, Seizures, Signal Detection, Psychological}, issn = {1525-5069}, doi = {10.1016/j.yebeh.2010.08.028}, url = {http://www.ncbi.nlm.nih.gov/pubmed/20889384}, author = {A L Ritaccio and Peter Brunner and Cervenka, Mackenzie C and Nathan E. Crone and Guger, C and Leuthardt, E C and Oostenveld, Robert and Stacey, William and Gerwin Schalk} } @article {2242, title = {Advances in the application of technology to epilepsy: the CIMIT/NIO Epilepsy Innovation Summit.}, journal = {Epilepsy Behav}, volume = {16}, year = {2009}, month = {09/2009}, pages = {3-46}, abstract = {

In 2008, a group of clinicians, scientists, engineers, and industry representatives met to discuss advances in the application of engineering technologies to the diagnosis and treatment of patients with epilepsy. The presentations also provided a guide for further technological development, specifically in the evaluation of patients for epilepsy surgery, seizure onset detection and seizure prediction, intracranial treatment systems, and extracranial treatment systems. This article summarizes the discussions and demonstrates that cross-disciplinary interactions can catalyze collaborations between physicians and engineers to address and solve many of the pressing unmet needs in epilepsy.

}, keywords = {Adult, Anticonvulsants, Brain Mapping, Child, Drug Resistance, Electric Stimulation Therapy, Electroencephalography, Engineering, Epilepsy, Humans, Magnetic Resonance Imaging, Medical Laboratory Science, Microelectrodes, Nanoparticles, Neurons, Neurosurgery, Neurotoxins, Predictive Value of Tests, Seizures, Spectroscopy, Near-Infrared, Tomography, Emission-Computed, Single-Photon, Tomography, Optical, Transcranial Magnetic Stimulation}, issn = {1525-5069}, doi = {10.1016/j.yebeh.2009.06.028}, url = {http://www.ncbi.nlm.nih.gov/pubmed/19780225}, author = {Schachter, Steven C and Guttag, John and Schiff, Steven J and Schomer, Donald L} } @article {2844, title = {Narrowband vs. broadband phase synchronization analysis applied to independent components of ictal and interictal EEG.}, journal = {Conf Proc IEEE Eng Med Biol Soc}, volume = {2007}, year = {2007}, month = {08/2007}, pages = {3864-7}, abstract = {This paper presents a comparison of the use of broadband and narrow band signals for phase synchronization analysis as applied to Independent Components of ictal and interictal scalp EEG in the context of seizure onset detection and prediction. Narrow band analysis for phase synchronization is found to be better performed in the present context than the broad band signal analysis. It has been observed that the phase synchronization of Independent Components in a narrow band (particularly the Gamma band) shows a prominent trend of increasing and decreasing synchronization at seizure onset near the epileptogenic area (spatially). This information is not always found to be consistent in analysis with the raw EEG signals, which may show spurious synchronization happening due to volume conduction effects. These observations lead us to believe that tracking changes in phase synchronization of narrow band activity, on continuous data records will be of great value in the context of seizure prediction.}, keywords = {Algorithms, Electroencephalography, Humans, Predictive Value of Tests, Seizures, Signal Processing, Computer-Assisted}, issn = {1557-170X}, doi = {10.1109/IEMBS.2007.4353176}, url = {http://www.ncbi.nlm.nih.gov/pubmed/18002842}, author = {Disha Gupta and Christopher J James} }