NDLI: A computational model of mild traumatic brain injury

Content Provider	IEEE Xplore Digital Library
Author	Menon, J.P. Gupta, V. Aravamudhan, R.
Copyright Year	2012
Description	Author affiliation: Dept. of Biomed. Eng., Univ. of California, San Diego, La Jolla, CA, USA (Menon, J.P.) \|\| San Diego Dept. of Electr. Eng., Univ. of California, San Diego, La Jolla, CA, USA (Gupta, V.; Aravamudhan, R.)
Abstract	Electrical analysis of brain activity reveals the presence of synchronous oscillations over a range of frequencies. These rhythms are readily observed using electroencephalography (EEG). Clinical EEG data shows that Traumatic Brain Injury (TBI) alters these rhythms. Researchers have developed lumped parameter neural mass models (NMM) that can reproduce these various brain rhythms. This paper proposes an NMM based computational model of mild TBI that recreates the clinical EEG changes observed after injury. Specifically, the focus is on recreating changes observed after TBI in the 8-12 Hz alpha and the 4-8Hz theta frequency ranges. Mild TBI is simulated by increasing membrane reactivity and by decreasing synaptic connectivity in the NMM. These results indicate that clinically observed EEG changes with mild TBI are likely due to traumatic synaptic disruption and that with appropriate data, EEG may be used to quantify the extent of TBI in the future.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	1354
Ending Page	1357
File Size	605364
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346189
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain modeling Sociology Statistics Mathematical model Computational modeling Injuries Biological system modeling
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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