Paper Info
Title
Integration Of Multimodal Neuroimaging And Electroencephalography For The Study Of Acute Epileptiform Activity After Traumatic Brain Injury
Abstract
The integration of multidimensional, longitudinal data acquired using the combined use of structural neuroimaging [e.g. magnetic resonance imaging (MRI), computed tomography (CT)] and neurophysiological recordings [e.g. electroencephalography (EEG)] poses substantial challenges to neuroinformaticians and to biomedical scientists who interact frequently with such data. In traumatic brain injury (TBI) studies, this challenge is even more severe due to the substantial heterogeneity of TBIs across patients and to the variety of neurophysiological responses to injury. Additionally, the study of acute epileptiform activity prompted by TBI poses logistic, analytic and data integration difficulties. Here we describe our proposed solutions to the integration of structural neuroimaging with neurophysiological recordings to study epileptiform activity after TBI. Based on techniques for TBI-robust segmentation and electrical activity localization, we have developed an approach to the joint analysis of MRI/CT/EEG data to identify the foci of seizure-related activity and to facilitate the study of TBI-related neuropathophysiology.
Year
DOI
Venue
2015
10.1007/978-3-319-21843-4_13
DATA INTEGRATION IN THE LIFE SCIENCES, DILS 2015
Keywords
Field
DocType
Magnetic resonance imaging, Computed tomography, Electroencephalography, Traumatic brain injury, Big data, Segmentation, Seizure, Neurophysiology
Data integration,Data mining,Neuroscience,Neurophysiology,Computer science,Computed tomography,Eeg data,Neuroimaging,Traumatic brain injury,Electroencephalography,Magnetic resonance imaging
Conference
Volume
ISSN
Citations 
9162
0302-9743
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Andrei Irimia15710.84
Sheng-Yang M. Goh210.70
Paul M Vespa3235.19
John D Van Horn431628.50