title: Detecting epileptic regions based on global brain connectivity patterns.
abstract: We present a method to detect epileptic regions based on functional connectivity differences between individual epilepsy patients and a healthy population. Our model assumes that the global functional characteristics of these differences are shared across patients, but it allows for the epileptic regions to vary between individuals. We evaluate the detection performance against intracranial EEG observations and compare our approach with two baseline methods that use standard statistics. The baseline techniques are sensitive to the choice of thresholds, whereas our algorithm automatically estimates the appropriate model parameters and compares favorably with the best baseline results. This suggests the promise of our approach for pre-surgical planning in epilepsy.
authors: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
authors: Andrew
authors: A
authors: Sweet
authors: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
authors: Archana
authors: A
authors: Venkataraman
authors: Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.
authors: Steven M
authors: SM
authors: Stufflebeam
authors: Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.
authors: Hesheng
authors: H
authors: Liu
authors: Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.
authors: Naoro
authors: N
authors: Tanaka
authors: Boston Children's Hospital, Boston, MA, USA.
authors: Joseph
authors: J
authors: Madsen
authors: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
authors: Polina
authors: P
authors: Golland
mesh_terms: D000465:Algorithms; D001921:Brain / Q000503:physiopathology*; D003198:Computer Simulation; D063132:Connectome / Q000379:methods*; D004569:Electroencephalography / Q000379:methods; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008959:Models, Neurological; D009415:Nerve Net / Q000503:physiopathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity