Stability of resonance EEG reactions to flickering light in humans

Федотчев, А. И.; Bondar, A. T.; Konovalov, V. F.

doi:10.1016/0167-8760(90)90073-m

Cited by 41 publications

(36 citation statements)

References 7 publications

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“…This profile apparently reflects the characteristic EEG oscillators in different bands (6,8). These oscillators were found to be very variable across a group of subjects, but in each individual, the frequencies of the peaks proved to be very stable over a long period of time (6). Other investigators also observed large interindividual variability and long-term individual stability of the driving reactions (4).…”

Section: Introductionmentioning

confidence: 89%

“…This has been considered to reflect constitutional features of the EEG (4,6). On the other hand, some authors have found variable components of the reaction in photic driving, which are determined by the current functional state (5,35,37).…”

Section: Discussionmentioning

confidence: 99%

“…Other investigators also observed large interindividual variability and long-term individual stability of the driving reactions (4). Significantly, however, the resonance driving peaks not only coincided with the background peaks, such as those of alpha activity, but also appeared at the frequencies where no peaks were observed in the background EEG (6,8). This potential for revealing the individual latent oscillators makes the IPS test very valuable and promising in both clinical and basic neurophysiological studies and permits obtaining additional information not present in the resting EEG (1,(13)(14)(15)(16).…”

Section: Introductionmentioning

confidence: 99%

“…A gradual continuous change in frequency of stimulation across the entire EEG frequency range has allowed an individual's profile of reactivity to be calculated, based on the set of peaks elicited in the EEG spectrogram. This profile apparently reflects the characteristic EEG oscillators in different bands (6,8). These oscillators were found to be very variable across a group of subjects, but in each individual, the frequencies of the peaks proved to be very stable over a long period of time (6).…”

Section: Introductionmentioning

confidence: 99%

“…The hypothesis of the resonance nature of the driving response was suggested as early as the nineteen forties (3) and later was accepted and experimentally confirmed by many investigators (4)(5)(6)(7)(8)(9)(10). On this basis, IPS has been used to test some basic neurophysiological mechanisms taking into account modern concepts of the organizing role of the bioelectrical rhythms in the brain (11,12).…”

Section: Introductionmentioning

confidence: 99%

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Photic driving in the electroencephalogram of children and adolescents: harmonic structure and relation to the resting state

Лазарев

Simpson

Schubsky

et al. 2001

Braz J Med Biol Res

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In order to identify latent bioelectrical oscillators, 15 normal subjects (aged 9-17 years, 8 males, 7 females) were subjected to intermittent photic stimulation. The EEG amplitude spectra corresponding to the 11 fixed frequencies of stimulation presented (3-24 Hz) were combined to form "profiles" of the driving reaction in the right occipital area. The driving response varied with frequency, and was demonstrable in 70-100% of cases (using as criterion peak amplitudes 20% larger than those of the neighbors). The strongest responses were observed at the frequency closest to the alpha peak of the resting EEG. A secondary profile maximum was in the theta band. In 10 subjects, this maximum exceeded half the alpha peak (with an average of 72.4% of the alpha peak), while in the resting spectra, theta amplitudes were much lower than the alpha maxima. This responsiveness in theta activity seems to be characteristic of prepubertal and pubertal subjects. The profiles and resting EEG spectra showed a highly significant Pearson's correlation, with the peak in the theta band of the profiles being the main difference observed between them. The correlation coefficient was significantly correlated with the ratio of the maxima in the theta and alpha bands (R = -0.77, P<0.001). The correlation coefficient between profile and resting spectrum may be a useful indicator in screening methods used to reveal latent cerebral oscillators. Profiles for the second and third harmonics were correlated with those of the first harmonic (fundamental frequency), when considering the corresponding EEG frequencies. Peak frequencies in all three profiles were close to those of the individual's background alpha rhythm, and peak amplitudes in higher harmonics were not much lower than those of the fundamental frequency (mean values of 84 and 63%, for second and third harmonics, respectively).

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Section: Introductionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Photic driving in the electroencephalogram of children and adolescents: harmonic structure and relation to the resting state

Лазарев

Simpson

Schubsky

et al. 2001

Braz J Med Biol Res

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Resonance phenomena in the human auditory cortex: individual resonance frequencies of the cerebral cortex determine electrophysiological responses

et al. 2010

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The brain can be considered a dynamical system which is able to oscillate at multiple frequencies. To study the brain's preferred oscillation frequencies, the resonance frequencies in the frequency response of the system can be assessed by stimulating the brain at various stimulation frequencies. Furthermore, the event-related potential (ERP) can be considered as the brain's impulse response. For linear dynamical systems, the frequency response should be equivalent to the frequency transform of the impulse response. The present study test whether this fundamental relation is also true for the frequency transform of the ERP and the frequency response of the brain. Results show that the spectral characteristics of both impulse and frequency response in the gamma frequency range are significantly correlated. Thus, we speculate that the resonance frequencies determine the frequency spectrum of the impulse response. This, in turn, implies that both measures are determined by the same, individually specific, neuronal generator mechanisms.

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Dynamic Processes in Regulation and Some Implications for Biofeedback and Biobehavioral Interventions

Lehrer

Eddie

2013

Appl Psychophysiol Biofeedback

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Systems theory has long been applied in psychology, biology, and sociology. This paper applies newer methods of control systems modeling to the assessment of system stability in health and disease. Control systems can be characterized as open or closed systems with feedback loops. Feedback produces oscillatory activity, and the complexity of naturally occurring oscillatory patterns reflects the multiplicity of feedback mechanisms, such that many mechanisms operate simultaneously to control the system. Unstable systems, often associated with poor health, are characterized by absence of oscillation, random noise, or a very simple pattern of oscillation. This modeling approach can be applied to a diverse range of phenomena, including cardiovascular and brain activity, mood and thermal regulation, and social system stability. External system stressors such as disease, psychological stress, injury, or interpersonal conflict may perturb a system, yet simultaneously stimulate oscillatory processes and exercise control mechanisms. Resonance can occur in systems with negative feedback loops, causing high-amplitude oscillations at a single frequency. Resonance effects can be used to strengthen modulatory oscillations, but may obscure other information and control mechanisms, and weaken system stability. Positive as well as negative feedback loops are important for system function and stability. Examples are presented of oscillatory processes in heart rate variability, and regulation of autonomic, thermal, pancreatic and central nervous system processes, as well as in social/organizational systems such as marriages and business organizations. Resonance in negative feedback loops can help stimulate oscillations and exercise control reflexes, but also can deprive the system of important information. Empirical hypotheses derived from this approach are presented, including that moderate stress may enhance health and functioning.

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Stability of resonance EEG reactions to flickering light in humans

Cited by 41 publications

References 7 publications

Photic driving in the electroencephalogram of children and adolescents: harmonic structure and relation to the resting state

Photic driving in the electroencephalogram of children and adolescents: harmonic structure and relation to the resting state

Resonance phenomena in the human auditory cortex: individual resonance frequencies of the cerebral cortex determine electrophysiological responses

Dynamic Processes in Regulation and Some Implications for Biofeedback and Biobehavioral Interventions

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