Literature DB >> 2408867

Depth profiles of hippocampal rhythmic slow activity ('theta rhythm') depend on behaviour.

G Buzsáki, P Rappelsberger, L Kellényi.   

Abstract

Wave shape patterns and spectral properties of hippocampal slow wave activity (RSA) were studied in behaving rats equipped with stationary recording/stimulating electrodes and a movable microelectrode. RSA waves had maximum power at about the hippocampal fissure, and two minima just below the pyramidal cells of CA1 and the inner molecular layer of the dentate gyrus, respectively. The phase profile of RSA was gradual during both running and lever pressing, but the two profiles showed phase differences in the stratum radiatum of CA1 and the hilus. Averaged RSA waves consisted of fast rising and slow decaying components, giving a saw-tooth like pattern. RSA waves were more asymmetric during running than during lever pressing. The slow component showed a sudden polarity reversal below the pyramidal layer of CA1. The fast component of RSA showed a gradual shift and change of the slope with depth. An additional small amplitude wave riding on the slow component ('notch') was present during running. The amplitude increase of the 'notch' occasionally caused frequency doubling of RSA and consequent high power of the second harmonic. The gradual shift and change of the fast component are explained by the hypothesis that somatic inhibitory and dendritic excitatory RSA dipoles in CA1 and dentate gyrus are active at different times of the RSA cycle.

Entities:  

Mesh:

Year:  1985        PMID: 2408867     DOI: 10.1016/0013-4694(85)91075-2

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  26 in total

1.  Methodological Considerations on the Use of Different Spectral Decomposition Algorithms to Study Hippocampal Rhythms.

Authors:  Y Zhou; A Sheremet; Y Qin; J P Kennedy; N M DiCola; S N Burke; A P Maurer
Journal:  eNeuro       Date:  2019-08-01

2.  Disrupting the medial prefrontal cortex alters hippocampal sequences during deliberative decision making.

Authors:  Brandy Schmidt; Anneke A Duin; A David Redish
Journal:  J Neurophysiol       Date:  2019-03-20       Impact factor: 2.714

3.  Disharmony in neural oscillations.

Authors:  Alexandre Hyafil
Journal:  J Neurophysiol       Date:  2017-02-08       Impact factor: 2.714

4.  Toward a proper estimation of phase-amplitude coupling in neural oscillations.

Authors:  Dino Dvorak; André A Fenton
Journal:  J Neurosci Methods       Date:  2014-01-19       Impact factor: 2.390

5.  Cross-frequency phase-phase coupling between θ and γ oscillations in the hippocampus.

Authors:  Mariano A Belluscio; Kenji Mizuseki; Robert Schmidt; Richard Kempter; György Buzsáki
Journal:  J Neurosci       Date:  2012-01-11       Impact factor: 6.167

Review 6.  Phase organization of network computations.

Authors:  Matthew A Wilson; Carmen Varela; Miguel Remondes
Journal:  Curr Opin Neurobiol       Date:  2015-02-11       Impact factor: 6.627

7.  Recognition memory and theta-gamma interactions in the hippocampus.

Authors:  John B Trimper; Roxana A Stefanescu; Joseph R Manns
Journal:  Hippocampus       Date:  2013-11-26       Impact factor: 3.899

8.  Behavior-dependent coordination of multiple theta dipoles in the hippocampus.

Authors:  Sean M Montgomery; Martha I Betancur; György Buzsáki
Journal:  J Neurosci       Date:  2009-02-04       Impact factor: 6.167

Review 9.  Time to put the mammillothalamic pathway into context.

Authors:  Christopher M Dillingham; Michal M Milczarek; James C Perry; Seralynne D Vann
Journal:  Neurosci Biobehav Rev       Date:  2020-12-09       Impact factor: 8.989

10.  Hippocampal Sequencing Mechanisms Are Disrupted in a Maternal Immune Activation Model of Schizophrenia Risk.

Authors:  Lucinda J Speers; Kirsten R Cheyne; Elena Cavani; Tara Hayward; Robert Schmidt; David K Bilkey
Journal:  J Neurosci       Date:  2021-07-12       Impact factor: 6.167

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