EEG dynamical correlates of focal and diffuse causes of coma

Abstract Background Rapidly determining the causes of a depressed level of consciousness (DLOC) including coma is a common clinical challenge. Quantitative analysis of the electroencephalogram (EEG) has the potential to improve DLOC assessment by providing readily deployable, temporally detailed cha...

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Main Authors: MohammadMehdi Kafashan, Shoko Ryu, Mitchell J. Hargis, Osvaldo Laurido-Soto, Debra E. Roberts, Akshay Thontakudi, Lawrence Eisenman, Terrance T. Kummer, ShiNung Ching
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Neurology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12883-017-0977-0
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author MohammadMehdi Kafashan
Shoko Ryu
Mitchell J. Hargis
Osvaldo Laurido-Soto
Debra E. Roberts
Akshay Thontakudi
Lawrence Eisenman
Terrance T. Kummer
ShiNung Ching
author_facet MohammadMehdi Kafashan
Shoko Ryu
Mitchell J. Hargis
Osvaldo Laurido-Soto
Debra E. Roberts
Akshay Thontakudi
Lawrence Eisenman
Terrance T. Kummer
ShiNung Ching
author_sort MohammadMehdi Kafashan
collection DOAJ
description Abstract Background Rapidly determining the causes of a depressed level of consciousness (DLOC) including coma is a common clinical challenge. Quantitative analysis of the electroencephalogram (EEG) has the potential to improve DLOC assessment by providing readily deployable, temporally detailed characterization of brain activity in such patients. While used commonly for seizure detection, EEG-based assessment of DLOC etiology is less well-established. As a first step towards etiological diagnosis, we sought to distinguish focal and diffuse causes of DLOC through assessment of temporal dynamics within EEG signals. Methods We retrospectively analyzed EEG recordings from 40 patients with DLOC with consensus focal or diffuse culprit pathology. For each recording, we performed a suite of time-series analyses, then used a statistical framework to identify which analyses (features) could be used to distinguish between focal and diffuse cases. Results Using cross-validation approaches, we identified several spectral and non-spectral EEG features that were significantly different between DLOC patients with focal vs. diffuse etiologies, enabling EEG-based classification with an accuracy of 76%. Conclusions Our findings suggest that DLOC due to focal vs. diffuse injuries differ along several electrophysiological parameters. These results may form the basis of future classification strategies for DLOC and coma that are more etiologically-specific and therefore therapeutically-relevant.
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spelling doaj.art-4564d591b48c4a43b160c8e2bb9ba1e12022-12-22T03:11:06ZengBMCBMC Neurology1471-23772017-11-0117111110.1186/s12883-017-0977-0EEG dynamical correlates of focal and diffuse causes of comaMohammadMehdi Kafashan0Shoko Ryu1Mitchell J. Hargis2Osvaldo Laurido-Soto3Debra E. Roberts4Akshay Thontakudi5Lawrence Eisenman6Terrance T. Kummer7ShiNung Ching8Department of Electrical and Systems Engineering, Washington University in St. LouisDepartment of Electrical and Systems Engineering, Washington University in St. LouisDepartment of Neurology, Washington University School of MedicineDepartment of Neurology, Washington University School of MedicineDepartment of Neurology, Washington University School of MedicineDepartment of Electrical and Systems Engineering, Washington University in St. LouisDepartment of Neurology, Washington University School of MedicineDepartment of Neurology, Washington University School of MedicineDepartment of Electrical and Systems Engineering, Washington University in St. LouisAbstract Background Rapidly determining the causes of a depressed level of consciousness (DLOC) including coma is a common clinical challenge. Quantitative analysis of the electroencephalogram (EEG) has the potential to improve DLOC assessment by providing readily deployable, temporally detailed characterization of brain activity in such patients. While used commonly for seizure detection, EEG-based assessment of DLOC etiology is less well-established. As a first step towards etiological diagnosis, we sought to distinguish focal and diffuse causes of DLOC through assessment of temporal dynamics within EEG signals. Methods We retrospectively analyzed EEG recordings from 40 patients with DLOC with consensus focal or diffuse culprit pathology. For each recording, we performed a suite of time-series analyses, then used a statistical framework to identify which analyses (features) could be used to distinguish between focal and diffuse cases. Results Using cross-validation approaches, we identified several spectral and non-spectral EEG features that were significantly different between DLOC patients with focal vs. diffuse etiologies, enabling EEG-based classification with an accuracy of 76%. Conclusions Our findings suggest that DLOC due to focal vs. diffuse injuries differ along several electrophysiological parameters. These results may form the basis of future classification strategies for DLOC and coma that are more etiologically-specific and therefore therapeutically-relevant.http://link.springer.com/article/10.1186/s12883-017-0977-0ComaClassificationElectroencephalogramDepressed level of consciousness
spellingShingle MohammadMehdi Kafashan
Shoko Ryu
Mitchell J. Hargis
Osvaldo Laurido-Soto
Debra E. Roberts
Akshay Thontakudi
Lawrence Eisenman
Terrance T. Kummer
ShiNung Ching
EEG dynamical correlates of focal and diffuse causes of coma
BMC Neurology
Coma
Classification
Electroencephalogram
Depressed level of consciousness
title EEG dynamical correlates of focal and diffuse causes of coma
title_full EEG dynamical correlates of focal and diffuse causes of coma
title_fullStr EEG dynamical correlates of focal and diffuse causes of coma
title_full_unstemmed EEG dynamical correlates of focal and diffuse causes of coma
title_short EEG dynamical correlates of focal and diffuse causes of coma
title_sort eeg dynamical correlates of focal and diffuse causes of coma
topic Coma
Classification
Electroencephalogram
Depressed level of consciousness
url http://link.springer.com/article/10.1186/s12883-017-0977-0
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