Quantitative assessment of photic driving in renal failure

Hamel, Baruch; Bourne, J.R.; Ward, James W.; Teschan, Paul E.

doi:10.1016/0013-4694(78)90140-2

Cited by 14 publications

(4 citation statements)

References 9 publications

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“…While, for example, the manifestation in the EEG of the second harmonic during stimulation at 5 Hz is similar to that of the first harmonic at 10 Hz, its functional significance may be different (5,13,14,38,39). In some subjects (for example SV), the response at a given frequency of the EEG could occur when this represents a double or triple frequency of the stimulation, but not when this is the fundamental frequency.…”

Section: Discussionmentioning

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: Discussionmentioning

confidence: 99%

“…The ratio of harmonic amplitudes proved to be a fine indicator of the functional states in normal subjects (5,35). It may depend upon the clinical state of the patients, as found in renal disease (38). The gender EEG differences in older ages were found only in the second harmonic of the driving response (13).…”

Section: Introductionmentioning

confidence: 94%

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

View full text Add to dashboard Cite

show abstract

“…Thus, the chemical indices correlated best in the group with less slowing in the EEG ( Table 2), less of a latency increase in the VER ( Table 6) and less of an increased amplitude at subharmonic frequencies (Table 7). Since a relationship between the chemical and electrophysiological tests has been established by our data as well as those by others (9)(10)(11), it seems possible that the relationship may be somewhat linear for only the moderate but not for the extreme values. This suggestion likely reflects a general property found in most biological systems in which variables usually show a more direct relationship with more moderate than with extreme values (21).…”

Section: Discussionmentioning

confidence: 78%

“…Electrophysiological studies on uremic patients, whose symptoms typically reflect brain dysfunction, have shown abnormalities in the EEG (1)(2)(3)(4)(5)(6)(7), visual evoked responses (8)(9)(10) and photic driving responses (11). Most of these studies have emphasized changes of only one of these physiological indices.…”

Section: Introductionmentioning

confidence: 98%