Detecting Epileptic Regions Based on Global Brain Connectivity Patterns

Detecting Epileptic Regions Based on Global Brain Connectivity Patterns

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 re...

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Bibliographic Details
Main Authors: Sweet, Andrew, Venkataraman, Archana, Stufflebeam, Steven M., Liu, Hesheng, Tanaka, Naoro, Madsen, Joseph R., Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag Berlin Heidelberg 2014
Online Access:http://hdl.handle.net/1721.1/86976
https://orcid.org/0000-0003-2516-731X

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