Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
Abstract
We compare dynamical properties of brain electrical activity from different recording regions and from different physiological and pathological brain states. Using the nonlinear prediction error and an estimate of an effective correlation dimension in combination with the method of iterative amplitude adjusted surrogate data, we analyze sets of electroencephalographic (EEG) time series: surface EEG recordings from healthy volunteers with eyes closed and eyes open, and intracranial EEG recordings from epilepsy patients during the seizure free interval from within and from outside the seizure generating area as well as intracranial EEG recordings of epileptic seizures. As a preanalysis step an inclusion criterion of weak stationarity was applied. Surface EEG recordings with eyes open were compatible with the surrogates' null hypothesis of a Gaussian linear stochastic process. Strongest indications of nonlinear deterministic dynamics were found for seizure activity. Results of the other sets were found to be inbetween these two extremes.
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In the Bonn database, set E contains intracranial EEG data captured during epileptic seizures.
“Set E contains intracranial EEG data captured during epileptic seizures.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [36]
In the Bonn database, each set consists of 100 text files, each containing a single EEG time series represented in ASCII code and comprising 4097 samples.
“Each set consists of 100 text files, each containing a single EEG time series represented in ASCII code and comprising 4097 samples.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [36]
In the Bonn database, sets C and D encompass intracranial EEG recordings taken during seizure-free intervals, with set C recorded from within the seizure-generating area and set D from outside the seizure-generating area of epileptic patients.
“Sets C and D encompass intracranial EEG recordings taken during seizure-free intervals, with set C recorded from within the seizure-generating area and set D from outside the seizure-generating area of epileptic patients.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [36]
The Bonn EEG time series database involves EEG data obtained from a 128-channel acquisition system, featuring recordings from 5 patients identified as A, B, C, D, and E.
“The Bonn EEG time series database [36] involves EEG data obtained from a 128-channel acquisition system, featuring recordings from 5 patients identified as A, B, C, D, and E.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [36]
The Bonn database is devoid of artifacts, obviating the necessity for preprocessing prior to classifying the signals as healthy (non-epileptic) or unhealthy (epileptic).
“This database is devoid of artifacts, obviating the necessity for preprocessing prior to classifying the signals as healthy (non-epileptic) or unhealthy (epileptic).”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [36]
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- Authors
- Andrzejak, R. G., Lehnertz, K., Mormann, F., Rieke, C., David, P., & Elger, C. E.
- Affiliations
- University of Bonn (DE)
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2001-11-20
- Volume
- 64
- Issue
- 6
- Pages
- 061907-061907
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2053744708
- Cited by
- 3,032
- References
- 50
- Citations by year
- 2026: 167 · 2025: 227 · 2024: 230 · 2023: 236 · 2022: 219 · 2021: 268 · 2020: 283 · 2019: 218 · 2018: 198 · 2017: 167 · 2016: 112 · 2015: 90 · 2014: 122 · 2013: 80 · 2012: 78
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (publishedVersion)
- PubMed (publishedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- brain electrical activity, EEG, intracranial EEG, epilepsy, epileptic seizures, correlation dimension, brain states, eyes open vs eyes closed, weak stationarity
- MeSH terms
- Brain, Electroencephalography, Electrophysiology, Epilepsy, Humans, Time Factors, Models, Statistical
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