Scale-invariant fluctuations of the dynamical synchronization in human brain electrical activity

Gong, Pulin; Nikolaev, Andrey R.; Leeuwen, Cees van

doi:10.1016/s0304-3940(02)01247-8

Cited by 72 publications

(60 citation statements)

References 14 publications

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“…In numerous publications, Freeman (2004aFreeman ( , b, 2005aFreeman ( , b, 2006 provided solid support for the view that the brain state space dynamics is poised towards a global state of self-organized criticality which affords the possibility for virtually instantaneous reorganization upon changes in external or internal variables. Evidence for scale-free brain dynamics of EEG as signature of self-organized criticality was also obtained by Linkenkaer-Hansen et al (2001), Gong et al (2003), and Stam and de Bruin (2004). Transcranial magnetic stimulation was shown to induce switches between two distinct modes of behavior (Meyer-Lindenberg et al 2002).…”

Section: On Brain Network Connectivitymentioning

confidence: 80%

Consciousness related neural events viewed as brain state space transitions

Werner

2008

Cogn Neurodyn

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This theoretical and speculative essay addresses a categorical distinction between neural events of sensory-motor cognition and those presumably associated with consciousness. It proposes to view this distinction in the framework of the branch of Statistical Physics currently referred to as Modern Critical Theory (Stanley, Introduction to phase transitions and critical phenomena, 1987; Marro and Dickman, Nonequilibrium phase transitions in lattice, 1999). Based on established landmarks of brain dynamics, network configurations and their role for conveying oscillatory activity of certain frequencies bands, the question is examined: what kind of state space transitions can systems with these properties undergo, and could the relation between neural processes of sensory-motor cognition and those of events in consciousness be of the same category as is characterized by state transitions in nonequilibrium physical systems? Approaches for empirical validation of this view by suitably designed brain imaging studies, and for computational simulations of the proposed principle are discussed.

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Section: On Brain Network Connectivitymentioning

confidence: 80%

Consciousness related neural events viewed as brain state space transitions

Werner

2008

Cogn Neurodyn

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“…Collectively, we refer to these emissions as fractoemission (Langford et al, 1987;Dickinson et al, 1988;Gonzalez and Pantano, 1990;Miura and Nakayama, 2000;Takeuchi and Nagahama, 2004;Mavromatou et al, 2004;Wu et al, 2004). It is worth mentioning that laboratory experiments show that more intense fractoemissions are observed during the unstable crack growth (Gonzalez and Pantano, 1990).…”

Section: Pre-seismic Electromagnetic Activitymentioning

confidence: 99%

Grain scale deformation in ultra-high-pressure metamorphic rocks—an indicator of rapid phase transformation

Lenze

Stöckhert

Wirth

2005

Earth and Planetary Science Letters

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Abstract. An important question in geophysics is whether earthquakes (EQs) can be anticipated prior to their occurrence. Pre-seismic electromagnetic (EM) emissions provide a promising window through which the dynamics of EQ preparation can be investigated. However, the existence of precursory features in pre-seismic EM emissions is still debatable: in principle, it is difficult to prove associations between events separated in time, such as EQs and their EM precursors. The scope of this paper is the investigation of the pre-seismic EM activity in terms of complexity. A basic reason for our interest in complexity is the striking similarity in behavior close to irreversible phase transitions among systems that are otherwise quite different in nature. Interestingly, theoretical studies (Hopfield, 1994;Herz and Hopfield 1995;Rundle et al., 1995;Corral et al., 1997) suggest that the EQ dynamics at the final stage and neural seizure dynamics should have many similar features and can be analyzed within similar mathematical frameworks. Motivated by this hypothesis, we evaluate the capability of linear and non-linear techniques to extract common features from brain electrical activities and pre-seismic EM emissions predictive of epileptic seizures and EQs respectively. The results suggest that a unified theory may exist for the ways in which firing neurons and opening cracks organize themselves to produce a large crisis, while the preparation of an epileptic shock or a large EQ can be studied in terms of "Intermittent Criticality".

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“…This self-similar behavior is common to a large number of complex biological and non-biological systems (Stanley et al, 2000), and reflects a tendency of these systems to self-organize at different scales independently from the mechanisms underlying their dynamics (Bak et al, 1987). Scale-free behavior was shown for electroencephalogram (EEG) signal amplitudes (Novikov et al, 1997;Pereda et al, 1998;Watters, 1998;Freeman and Barrie, 2000;Hwa and Ferree, 2002;Le Van Quyen, 2003), for amplitudes of alpha and beta band oscillations (Linkenkaer-Hansen et al, 2001Nikulin and Brismar, 2005), and for the duration of synchrony episodes between different brain areas in several frequency bands (Gong et al, 2003;Stam and de Bruin, 2004). Spatial scale-free dynamics was also shown at scales ranging from a few millimeters to an entire hemisphere (Freeman and Barrie, 2000).…”

mentioning

confidence: 96%

Feedback modulates the temporal scale-free dynamics of brain electrical activity in a hypothesis testing task

et al. 2007

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Abstract-We used the electroencephalogram (EEG) to investigate whether positive and negative performance feedbacks exert different long-lasting modulations of electrical activity in a reasoning task. Nine college students serially tested hypotheses concerning a hidden rule by judging its presence or absence in triplets of digits, and revised them on the basis of an exogenous performance feedback. The scaling properties of the transition period between feedback and triplet presentation were investigated with detrended fluctuation analysis (DFA). DFA showed temporal scale-free dynamics of EEG activity in both feedback conditions for time scales larger than 150 ms. Furthermore, DFA revealed that negative feedback elicits significantly higher scaling exponents than positive feedback. This effect covers a wide network comprising parietooccipital and left frontal regions. We thus showed that specific task demands can modify the temporal scale-free dynamics of the ongoing brain activity. Putative neural correlates of these long-lasting feedback-specific modulations are proposed. When confronted with problems that they must solve under incomplete information, people typically generate and select hypotheses, and modify them according to feedback from the environment. Positive feedback should help in keeping the current hypothesis active and in keeping competing hypotheses in the foreground.Negative feedback is instrumental in shutting down neural activity associated to invalidated hypotheses, inhibiting hypothesis-feedback associations, and in promoting new hypothesis testing (HT) (Papo et al., 2003).The modalities through which performance feedback modulates subsequent activity are still poorly understood. Studies of the time course of brain electrical activity timelocked to performance feedback using event-related potentials (ERPs) showed that positive and negative feedback conditions were associated with topographically and chronometrically separable patterns of electrical brain activity (Papo et al., 2003;Miltner et al., 1997;Ruchsow et al., 2002;Muller et al., 2005). Moreover, neuroimaging studies of performance feedback (Elliott et al., 1997;Monchi et al., 2001) showed that positive and negative feedback specifically activates separable fronto-limbico-striatal loops. Altogether, the regulatory properties of feedback were proposed to be fulfilled by a reward-related dopaminergic corticostriatal circuit (Holroyd and Coles, 2002) and its stress-driven resetting by medial temporal brain structures (Papo et al., 2003).Both ERP and neuroimaging studies concentrated on the short-run (Ͻ1 s) time-locked impulse-like effects of feedback. The underlying assumption was that this time window represents the characteristic temporal scale of the response to feedback. However, contrary to perceptual phenomena, the length and content of reasoning episodes are not strictly determined by the discrete events or stimuli promoting them. In fact, reasoning comes in episodes of uneven length. This variability is inherent to the phenomenon....

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Scale-invariant fluctuations of the dynamical synchronization in human brain electrical activity

Cited by 72 publications

References 14 publications

Consciousness related neural events viewed as brain state space transitions

Consciousness related neural events viewed as brain state space transitions

Grain scale deformation in ultra-high-pressure metamorphic rocks—an indicator of rapid phase transformation

Feedback modulates the temporal scale-free dynamics of brain electrical activity in a hypothesis testing task

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