@article {2208, title = {Proceedings of the Second International Workshop on Advances in Electrocorticography.}, journal = {Epilepsy Behav}, volume = {22}, year = {2011}, month = {12/2011}, pages = {641-50}, abstract = {

The Second International Workshop on Advances in Electrocorticography (ECoG) was convened in San Diego, CA, USA, on November 11-12, 2010. Between this meeting and the inaugural 2009 event, a much clearer picture has been emerging of cortical ECoG physiology and its relationship to local field potentials and single-cell recordings. Innovations in material engineering are advancing the goal of a stable long-term recording interface. Continued evolution of ECoG-driven brain-computer interface technology is determining innovation in neuroprosthetics. Improvements in instrumentation and statistical methodologies continue to elucidate ECoG correlates of normal human function as well as the ictal state. This proceedings document summarizes the current status of this rapidly evolving field.

}, keywords = {Brain, Brain Mapping, Brain Waves, Diagnosis, Computer-Assisted, Electroencephalography, Epilepsy, Humans, United States, User-Computer Interface}, issn = {1525-5069}, doi = {10.1016/j.yebeh.2011.09.028}, url = {http://www.ncbi.nlm.nih.gov/pubmed/22036287}, author = {A L Ritaccio and Boatman-Reich, Dana and Peter Brunner and Cervenka, Mackenzie C and Cole, Andrew J and Nathan E. Crone and Duckrow, Robert and Korzeniewska, Anna and Litt, Brian and Miller, John W and Moran, D and Parvizi, Josef and Viventi, Jonathan and Williams, Justin C and Gerwin Schalk} } @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 {2187, title = {Real-time detection of event-related brain activity.}, journal = {Neuroimage}, volume = {43}, year = {2008}, month = {11/2008}, pages = {245-9}, abstract = {

The complexity and inter-individual variation of\ brain\ signals impedes real-time detection of events in raw signals. To convert these complex signals into results that can be readily understood, current approaches usually apply statistical methods to data from known conditions after all data have been collected. The capability to provide meaningful visualization of complex\ brain\ signals without the requirement to initially collect data from all conditions would provide a new tool, essentially a new imaging technique, that would open up new avenues for the study of\ brain\ function. Here we show that a new analysis approach, called SIGFRIED, can overcome this serious limitation of current methods. SIGFRIED can visualize\ brain\ signal changes without requiring prior data collection from all conditions. This capacity is particularly well suited to applications in which comprehensive prior data collection is impossible or impractical, such as intraoperative localization of cortical function or detection of epileptic seizures.

}, keywords = {Adult, Algorithms, Brain Mapping, Computer Systems, Diagnosis, Computer-Assisted, Electroencephalography, Epilepsy, Evoked Potentials, Female, Humans, Male, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity}, issn = {1095-9572}, doi = {10.1016/j.neuroimage.2008.07.037}, url = {http://www.ncbi.nlm.nih.gov/pubmed/18718544}, author = {Gerwin Schalk and Leuthardt, E C and Peter Brunner and Ojemann, J G and Lester A Gerhardt and Jonathan Wolpaw} }