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Deactivation of Brain Areas During Self-Regulation of Slow Cortical Potentials in Seizure Patients
Authors:Ute Strehl PhD  Tracy Trevorrow  Ralf Veit  Thilo Hinterberger  Boris Kotchoubey  Michael Erb  Niels Birbaumer
Institution:(1) Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany;(2) Department of Psychology, Chaminade University, Honolulu, Hawaii, USA;(3) Section of Experimental Magnetic Resonance of the CNS, Department of Neuroradiology, University of Tübingen, Tübingen, Germany;(4) National Institutes of Health, NINDS, Bethesda, USA;(5) Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Gartenstr. 29, 72074 Tübingen, Germany
Abstract:This study investigates the neurophysiological basis of EEG feedback for patients with epilepsy. Brain areas are identified that become hemodynamically deactivated when epilepsy patients, trained in EEG self-regulation, generate positive slow cortical potentials (SCPs). Five patients were trained in producing positive SCPs, using a training protocol previously established to reduce seizure frequency in patients with drug refractory epilepsy. Patients attempted to produce positive SCP shifts in a functional magnetic resonance imaging (fMRI) scanner. Two patients were able to reliably produce positive SCP shifts. When these successful regulators were prompted to produce positive SCPs, blood oxygen level-dependent (BOLD) response indicated deactivation, in comparison to a control state, around the recording electrode, frontal lobe, and thalamus. Unsuccessful regulators’ BOLD response indicated no deactivation in cortical areas proximal to the active electrode. No thalamic deactivation was found in poor regulators. Decreased seizure frequency from SCP training may be the result of positively reinforced inhibition in cortical areas proximal to active electrode placement, the frontal cortex, and the thalamus.
Keywords:epilepsy  functional magnetic resonance imaging  neurofeedback  slow cortical potentials  self-regulation
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