Non-Parametric Statistical Diagnosis 2000
DOI: 10.1007/978-94-015-9530-8_7
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Application of the change-point analysis to the investigation of the brain’s electrical activity

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Cited by 48 publications
(83 citation statements)
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“…It has been shown experimentally that the sequences of segments between different local EEG signals are indeed synchronized to a certain extent and form short-term metastable topological combinations (OM), with different size (number of cortical locations involved) and life-span (temporal duration) [257,289,290,434,444,447]. We argue that at the phenomenological level, the lasting OM would be experienced as a "phenomenal present" of consciousness.…”
Section: Synchronized Quasi-stationary Eeg Segments Operational Modumentioning
confidence: 93%
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“…It has been shown experimentally that the sequences of segments between different local EEG signals are indeed synchronized to a certain extent and form short-term metastable topological combinations (OM), with different size (number of cortical locations involved) and life-span (temporal duration) [257,289,290,434,444,447]. We argue that at the phenomenological level, the lasting OM would be experienced as a "phenomenal present" of consciousness.…”
Section: Synchronized Quasi-stationary Eeg Segments Operational Modumentioning
confidence: 93%
“…Later this general framework was used mostly as an "umbrella" notion in a series of experimental studies [257,289,290,[434][435][436][437][438][439][440][441][442][443][444][445][446][447][448][449][450] leading to the accumulation of an enormous amount of empirical neurophysiological data which have permitted to extensively develop, broaden, and modify the whole conception and establish OA as a theoretical framework in its present form compromise between simplicity, neurophysiological accuracy, and cognitive and phenomenal plausibility.…”
Section: Integration Of Space-time Of Brain and Mind Through Unified mentioning
confidence: 99%
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“…Furthermore, since functional connectivity is generated by means of reciprocal interactions in the TCC networks, it makes a suitable method for investigating the electrophysiological correlates of GWT inspired architectures. Although we argue that EEG coherence estimation is informative regarding functional brain states in terms of functional connectivity, the relationship between EEG coherence estimates and functional connectivity has been deemed problematic (e.g., Breakspear, 2002;Fingelkurts et al, 2003;Horwitz, 2003;Kaplan & Shishkin, 2000). Furthermore, since EEG signals show a finite correlation even when recorded from separate subjects, one must be cautious when interpreting EEG coherence as a measure of functional connectivity (Shaw, 1984).…”
Section: Introductionmentioning
confidence: 90%