@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 {2189, title = {Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities.}, journal = {J Neurosci}, volume = {28}, year = {2008}, month = {11/2008}, pages = {11830-8}, keywords = {Cerebral Cortex, Electrodes, Implanted, Electroencephalography, Electronics, Medical, Electrophysiology, Evoked Potentials, Movement Disorders, Neurons, Prostheses and Implants, User-Computer Interface}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3879-08.2008}, url = {http://www.ncbi.nlm.nih.gov/pubmed/19005048?report=abstract}, author = {Kipke, Daryl R and Shain, William and Buzs{\'a}ki, Gy{\"o}rgy and Fetz, Eberhard E and Henderson, Jaimie M and Hetke, Jamille F and Gerwin Schalk} } @article {2106, title = {Analysis of the correlation between local field potentials and neuronal firing rate in the motor cortex.}, journal = {Conf Proc IEEE Eng Med Biol Soc}, volume = {1}, year = {2006}, month = {09/2006}, pages = {6185-8}, abstract = {

Neuronal firing rate has been the signal of choice for invasive motor\ brain\ machine\ interfaces\ (BMI). The use of local field potentials (LFP) in BMI experiments may provide additional dendritic information about movement intent and may improve performance. Here we study the time-varying amplitude modulated relationship between local field potentials (LFP) and single unit activity (SUA) in the motor cortex. We record LFP and SUA in the primary motor cortex of rats trained to perform a lever pressing task, and evaluate the correlation between pairs of peri-event time histograms (PETH) and movement evoked local field potentials (mEP) at the same electrode. Three different correlation coefficients were calculated and compared between the neuronal PETH and the magnitude and power of the mEP. Correlation as high as 0.7 for some neurons occurred between the PETH and the mEP magnitude. As expected, the correlations between the single trial LFP and SUV are much lower due to the inherent variability of both signals.

}, keywords = {Action Potentials, Animals, Brain, Brain Mapping, Electric Stimulation, Electrodes, Evoked Potentials, Motor, Male, Models, Statistical, Motor Cortex, Neurons, Rats, Rats, Sprague-Dawley, Signal Processing, Computer-Assisted, Synaptic Transmission}, issn = {1557-170X}, doi = {10.1109/IEMBS.2006.260516}, url = {http://www.ncbi.nlm.nih.gov/pubmed/17946745}, author = {Wang, Yiwen and Sanchez, Justin C and Principe, Jose and Mitzelfelt, Jeremiah D and Gunduz, Aysegul} }