EEG dynamical correlates of focal and diffuse causes of coma
| Autor: | Osvaldo Laurido-Soto, Shoko Ryu, MohammadMehdi Kafashan, Lawrence N. Eisenman, Akshay Thontakudi, Mitchell J Hargis, Terrance T. Kummer, ShiNung Ching, Debra E Roberts |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Adult Male medicine.medical_specialty Neurology Adolescent Brain activity and meditation Depressed level of consciousness Electroencephalography lcsh:RC346-429 03 medical and health sciences Young Adult 0302 clinical medicine Level of consciousness medicine Humans Coma lcsh:Neurology. Diseases of the nervous system Aged Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry General Medicine Middle Aged Classification Electroencephalogram 030104 developmental biology Seizure detection Technical Advance Consciousness Disorders Female Neurology (clinical) medicine.symptom business Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | BMC Neurology BMC Neurology, Vol 17, Iss 1, Pp 1-11 (2017) |
| ISSN: | 1471-2377 |
| Popis: | 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. Electronic supplementary material The online version of this article (doi: 10.1186/s12883-017-0977-0) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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