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

Arnolds, D.E.A.T; Silva, F.H Lopes da; Aitink, J.W; Kamp, Annelies

doi:10.1016/0013-4694(79)90009-9

Cited by 67 publications

(32 citation statements)

References 26 publications

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“…We made it plausible that a motor act, however small, will be related to a change in the spectral propertms of the RSA component of the hippocampal RSA, which, m varmus species including the dog, Is confined to the theta band but in other specms such as the rat can reach up to 12 c/sec. These results fit the hypothesis that the spectral properties of the hippocampal EEG reflect motor behaviour m a non-specific but predictable way, as stated more elaborately m our previous work Arnolds et al 1979). A simple relationship between hippocampal EEG characteristics and the intensity of motor behaviour could only be demonstrated, however, if EEG records were compared which had been obtained under the same experimental circumstances during behaviours of comparable morphology, the only difference being the amount of motor behaviour mvolved.…”

Section: Discussionsupporting

confidence: 89%

“…lying down, standing, eating, walking) and that transitions in motor behawour are correlated with shifts m amphtude, frequency and rhythmmity of the theta component m the hlppocampal EEG. These results m combination with data from the literature concerning rats, rabbits and cats Kemp and Kaada 1975) suggest that the spectral propertms of the dog's hlppocampal EEG reflect motor activity and sensory inputs in a non-specific but predmtable way, as was argued in our previous work Arnolds et al 1979). In order to substantiate this notion further we designed an experiment to determine whether the mtenslty of motor behavmur is reflected m the hippocampal EEG (part I of this study).…”

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confidence: 59%

“…

In previous studies (Lopes da Silva and Kamp 1969;Kamp et al 1971;Arnolds et al 1979), we have shown that there is a significant rhythmicity in the theta band of the dog's hippocampal EEG in the majority of behavioural states investigated (e.g. lying down, standing, eating, walking) and that transitions in motor behawour are correlated with shifts m amphtude, frequency and rhythmmity of the theta component m the hlppocampal EEG.

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mentioning

confidence: 77%

“…The procedures were the same as described previously Arnolds et al 1979). In addition, m order to determine hnear relatmnships between different signals the Z transformed coherence function was used, as described by Lopes da Silva et al (1973).…”

Section: (2) Data Acquzsltion and Computer Processingmentioning

confidence: 99%

“…Hence one of these was used for analysis. These were the same as described previously Arnolds et al 1979). Some special aspects are as follows:…”

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confidence: 99%

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

Arnolds

Silva

Aitink

et al. 1979

Electroencephalography and Clinical Neurophysiology

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In previous studies (Lopes da Silva and Kamp 1969;Kamp et al. 1971;Arnolds et al. 1979), we have shown that there is a significant rhythmicity in the theta band of the dog's hippocampal EEG in the majority of behavioural states investigated (e.g. lying down, standing, eating, walking) and that transitions in motor behawour are correlated with shifts m amphtude, frequency and rhythmmity of the theta component m the hlppocampal EEG. These results m combination with data from the literature concerning rats, rabbits and cats Kemp and Kaada 1975) suggest that the spectral propertms of the dog's hlppocampal EEG reflect motor activity and sensory inputs in a non-specific but predmtable way, as was argued in our previous work Arnolds et al. 1979). In order to substantiate this notion further we designed an experiment to determine whether the mtenslty of motor behavmur is reflected m the hippocampal EEG (part I of this study).The motor behavioural correlates of the hlppocampal EEG are described in many cases m the hterature at the level of goal-d~rected behaviour (walkmg towards or away from a goal) or m the context of particular mot1- This led us to mvestlgate whether such elementary motor acts would also be correlated with the properties of the hippocampal EEG. Thus m parts II and III of this study we describe the hippocampal EEG correlate~of steps, sighs, and of a motor reflex. This paper is based on an mtensive longitudinal study of 2 dogs. This approach allows a precise comparison of the EEG and behavlOUt recorded in different but exactly reproducible situations m the same animal. A prehminary report on these mvestlgatlons has been pubhshed elsewhere . In both dogs the electrodes were placed in the caudal 'knee' of the hlppocampus near the CAl-subiculum border. The positions from which we recorded are indicated m Fig. 1 by round black dots. In Fig. 1B the squares indmate the positions of some other electrode tips in the same bundle. The uppermost yielded large amphtude theta rhythm with important high frequency components. The tip located m the pyramidal cell layer yielded a rather irregular EEG of smaller amplitude while the electrodes below the pyramidal cells all gave a highly isomorphm clear rhythmm slow activity (RSA). Hence one of these was used for analysis.

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Section: Discussionsupporting

confidence: 89%

mentioning

confidence: 59%

“…

…”

mentioning

confidence: 77%

Section: (2) Data Acquzsltion and Computer Processingmentioning

confidence: 99%

“…Hence one of these was used for analysis. These were the same as described previously Arnolds et al 1979). Some special aspects are as follows:…”

mentioning

confidence: 99%

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

Arnolds

Silva

Aitink

et al. 1979

Electroencephalography and Clinical Neurophysiology

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Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model

et al. 1998

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O'Keefe and Recce ([1993] Hippocampus 68:317–330) have observed that the spatially selective firing of pyramidal cells in the CA1 field of the rat hippocampus tends to advance to earlier phases of the electroencephalogram theta rhythm as a rat passes through the place field of a cell. We present here a neural network model based on integrate‐and‐fire neurons that accounts for this effect. In this model, place selectivity in the hippocampus is a consequence of synaptic interactions between pyramidal neurons together with weakly selective external input. The phase shift of neuronal spiking arises in the model as a result of asymmetric spread of activation through the network, caused by asymmetry in the synaptic interactions. Several experimentally observed properties of the phase shift effect follow naturally from the model, including 1) the observation that the first spikes a cell fires appear near the theta phase corresponding to minimal population activity, 2) the overall advance is less than 360°, and 3) the location of the rat within the place field of the cell is the primary correlate of the firing phase, not the time the rat has been in the field. The model makes several predictions concerning the emergence of place fields during the earliest stages of exploration in a novel environment. It also suggests new experiments that could provide further constraints on a possible explanation of the phase precession effect. © 1996 Wiley‐Liss, Inc.

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Rhythmic hippocampal slow oscillation characterizes REM sleep in humans

Bódizs¹,

Kántor

Szabó³

et al. 2001

Hippocampus

102

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Hippocampal rhythmic slow activity (RSA) is a well-known electrophysiological feature of exploratory behavior, spatial cognition, and rapid eye movement (REM) sleep in several mammalian species. Recently, RSA in humans during spatial navigation was reported, but systematic data regarding human REM sleep are lacking. Using mesio-temporal corticography with foramen ovale electrodes in epileptic patients, we report the presence of a 1.5-3-Hz synchronous rhythmic hippocampal oscillation seemingly specific to REM sleep. This oscillation is continuous during whole REM periods, is clearly observable by visual inspection, and appears in tonic and phasic REM sleep episodes equally. Quantitative analysis proved that this 1.5-3-Hz frequency band significantly differentiates REM sleep from waking and slow-wake sleep (SWS). No other frequency band proved to be significant or showed this high rhythmicity. Even in temporo-lateral surface recordings, although visually much less striking, the relative power of the 1.5-3-Hz frequency band differentiates REM sleep from other states with statistical significance. This could mean that the 1.5-3-Hz hippocampal RSA spreads over other cortical areas in humans as in other mammals. We suggest that this oscillation is the counterpart of the hippocampal theta of mammalian REM sleep, and that the 1.5-3-Hz delta EEG activity is a basic neurophysiological feature of human REM sleep.

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

Cited by 67 publications

References 26 publications

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

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

Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model

Rhythmic hippocampal slow oscillation characterizes REM sleep in humans

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