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Results Suggestive of the Brain Trying to ‘Re-organize’ itself and Recover during the Early Stages of an Epileptic Seizure
Author(s) -
Richard Robertson
Publication year - 2018
Publication title -
epilepsy journal
Language(s) - English
Resource type - Journals
ISSN - 2472-0895
DOI - 10.4172/2472-0895.1000127
Subject(s) - epileptic seizure , epilepsy , neuroscience , psychology , cognitive science , cognitive psychology
It literally "boggles the mind" to try to imagine the chaos that must be occurring in the brain during an epileptic seizure! No wonder seizures are often referred to as 'brainstorms'! This paper presents some results of my studies analyzing the EEGs of patients during epileptic seizures. Based on cross-frequency coupling strength computations, contour plot snapshots are presented which may be showing the brain 'struggling' to regain control. Results are presented in graphical form for the progression of four epileptic seizures. There are two each from two patients, during the first dozen or two seconds after onset, for seizures lasting roughly a minute. Much longer time studies were done for each in my four recent SSRN e-papers. Using the metric of harmonic wavelet bicoherence, MATLAB contour plots were created illustrating cross-frequency coupling strength among various EEG frequency bands. A short sequence of such plots is presented for each seizure, stepped forward in time by a second (or sometimes less), from a contour plot at or shortly after seizure onset. Each sequence shows how the rather dis-organized and/or sparse pattern of cross-frequency coupling soon after seizure onset morphs into noticeable frequency band coupling. This coupling may be modulated by narrow, low-frequency sub-bands, as suggested by key contour plots. My conjectures may well be premature. But, for these seizures from two different patients with a specific, common type of seizure, complex partial, there seems to be a distinct pattern of activity, with the brain 'fighting' to ‘reset’ itself, to escape the seizure. There also appears to be a 'characteristic' neuronal spiking frequency for each seizure, which might identify a specific type(s) and location(s) of neurons responsible for this behavior. Perhaps such knowledge could eventually lead to more effective treatment options?

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