Title
Analysis of brain recurrence
Department
Natural Sciences
Document Type
Article
Publication Source
Understanding Complex Systems
Publication Date
2015-01-01
First Page
213
Last Page
251
Abstract
Analysis of Brain Recurrence (ABR) is a method for extracting physiologically significant information from the electroencephalogram (EEG), a non-stationary electrical output of the brain, the ultimate complex dynamical system. ABR permits quantification of temporal patterns in the EEG produced by the non-autonomous differential laws that govern brain metabolism. In the context of appropriate experimental and statistical designs, ABR is ideally suited to the task of interpreting the EEG. Present applications of ABR include discovery of a human magnetic sense, increased mechanistic understanding of neuronal membrane processes, diagnosis of degenerative neurological disease, detection of changes in brain metabolism caused by weak environmental electromagnetic fields, objective characterization of the quality of human sleep, and evaluation of sleep disorders. ABR has important beneficial implications for the development of clinical and experimental neuroscience. © 2015 Springer International Publishing Switzerland.
DOI
10.1007/978-3-319-07155-8_7
Recommended Citation
Frilot, Clifton; Kim, Paul Y.; Carrubba, Simona; McCarty, David E.; Chesson, Andrew L.; and Marino, Andrew A., "Analysis of brain recurrence" (2015). Articles & Book Chapters. 252.
https://digitalcommons.daemen.edu/faculty_scholar/252
https://doi.org/10.1007/978-3-319-07155-8_7