NDLI: Intracranial force and cerebrospinal fluid dynamics in brain autoregulation

Content Provider	IEEE Xplore Digital Library
Author	Haque, M.A. Rahman, M.S.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh (Haque, M.A.) \|\| Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA (Rahman, M.S.)
Abstract	Cerebral autoregulation is the ability to maintaining adequate and stable cerebral blood flow around the brain regions. The ultimate outcome after an injury to the head is strongly affected by the individual capacity of autoregulation. However, this phenomenon has not been well studied yet in terms of energy dissipation that holds an important impact on brain hemodynamics. This paper, therefore, highlights a simple electrical model for brain neurons embedded in cerebrospinal fluid (CSF) that is intended to account for electrical, chemical and mechanical processes producing magnetic fields signaling cranial hemodynamics. The study also introduces a new index called intracranial force (ICF) associated with monitoring the cerebrovascular autoregulation, and has been derived from the negative gradient of the dissipated energy. The ICF has been used hereafter to develop a hypothesis stating that the intracranial pressure multiplied by the volume of cerebrospinal fluid is equalized by the amount of energy dissipation in the brain tissue.
Sponsorship	IEEE Jordan Sect.
Starting Page	1
Ending Page	5
File Size	1197064
Page Count	5
File Format	PDF
DOI	10.1109/AEECT.2013.6716470
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Jordan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic flux Neurons Force Intracranial pressure Cerebrospinal fluid Fluids Brain hemodynamics Iterative closest point algorithm Cerebrovascular autoregulation Cerebral blood flow Intracranial force Mathematical model Monitoring
Content Type	Text
Resource Type	Article

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