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A Kamp

Publications and source records attributed to A Kamp.

6 recordsLinked to original sources

Hippocampal EEG and behaviour in dog. I. Hippocampal EEG correlates of gross motor behaviour.

It was shown that rewarding spectral shifts (i.e. increase in amplitude or peak frequency of the hippocampal EEG) causes a solitary dog to show increased motor behaviour. Rewarded spectral shifts concurred with a variety of behavioural transitions. It was found that statistically significant modulations occur in the spectral properties of the hippocampal EEG correlated with: (1) the transition from walking to standing; (2) the transition from standing while eating to walking away from the food dish; (3) the increase in speed of a walking dog, caused by rewarding the animal; and with (4) each head movement in a learned series of head movements. Thus behavioural transitions to a more active state are accompanied by an increase of amplitude, frequency and rhythmicity in the theta band of the hippocampal EEG; behavioural transitions to a less active state show the inverse relationship with the hippocampal EEG. A close relationship between modulations of the dog's hippocampal EEG activity and elementary motor acts is stressed. The hypothesis is put forward that the spectral properties of the hippocampal EEG reflect the degree to which a number of motor and sensory structures in the limbic midbrain and brain stem are active.

Animals

Hippocampal EEG and behaviour in dog. II. Hippocampal EEG correlates with elementary motor acts.

A positive correlation has been shown between the speed of forced stepping on a conveyor belt and the amplitude and frequency of the concomitant hippocampal EEG. Significant modulation in the spectral properties of the dog's hippocampal EEG has been found in relation to 3 elementary motor acts: stepping, respiratory movements and a reflex movement in reaction to linear acceleration of the animal. The findings support the idea that within a certain experimental situation the hippocampal EEG reflects the intensity of motor behaviour in a non-specific but predictable way. However, some experimental results indicate that sensory inputs may modulate the hippocampal EEG as well.

Animals

Hippocampal EEG and behaviour in dog. III. Hippocampal EEG correlates of stimulus-response tasks and of sexual behaviour.

A dog was trained to perform a spatial sound discrimination. The hippocampal EEG correlates and the movement correlates of correct trials were compared with those of incorrect trials and of 'pressings in between'. Correct and wrong responses on a place learning task were compared both with respect to the hippocampal EEG correlates and to the motor behaviour. Where significant differences in EEG correlates were found, the motor behaviour differed significantly as well. The same was found for 2 behavioral states with different motor behavioural qualities which occurred during copulation. The data support the hypothesis that the spectral properties of the hippocampal EEG reflect in a predictable but non-specific way the intensity of motor behaviour. They question the postulated correlations between hippocampal EEG and 'internal processes', on the ground that unambiguous experimental verification of such hypothesis appears to be very difficult.

Animals

EEG signs of cerebrovascular disorder, using physical exercise as a provocative method.

A group of patients suffering from cerebrovascular insufficiency was submitted to a pilot EEG investigation using physical exercise as a provocative method. Two control groups, one of young (20--30 years) and another of older (more than 50 years) subjects, were also investigated. Quantitative EEG spectral data, determined at rest and during a period after physical exercise, showed that deviations of the frequency distribution of the alpha band were related to cerebrovascular insufficiency.

Adult

Sequential frequency analysis: a method to quantify event related EEG changes.

A hybrid method of frequency analysis is described by means of which EEG changes related to stimulus-response tasks have been studied. Frequency analysis was carried out using a bank of 20 analog filters by means of which quantitative spectral data were obtained as a function of time. Storing, averaging and statistical analysis of these time-varying spectral data were performed, using a general purpose computer (PDP 11-20). The method proved to be useful for analysis of the non-stationary properties of EEG changes related to certain behavioural events.

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