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      The frequency architecture of brain and brain body oscillations: an analysis

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          Abstract

          Research on brain oscillations has brought up a picture of coupled oscillators. Some of the most important questions that will be analyzed are, how many frequencies are there, what are the coupling principles, what their functional meaning is, and whether body oscillations follow similar coupling principles. It is argued that physiologically, two basic coupling principles govern brain as well as body oscillations: (i) amplitude (envelope) modulation between any frequencies m and n, where the phase of the slower frequency m modulates the envelope of the faster frequency n, and (ii) phase coupling between m and n, where the frequency of n is a harmonic multiple of m. An analysis of the center frequency of traditional frequency bands and their coupling principles suggest a binary hierarchy of frequencies. This principle leads to the foundation of the binary hierarchy brain body oscillation theory. Its central hypotheses are that the frequencies of body oscillations can be predicted from brain oscillations and that brain and body oscillations are aligned to each other. The empirical evaluation of the predicted frequencies for body oscillations is discussed on the basis of findings for heart rate, heart rate variability, breathing frequencies, fluctuations in the BOLD signal, and other body oscillations. The conclusion is that brain and many body oscillations can be described by a single system, where the cross talk – reflecting communication – within and between brain and body oscillations is governed by m : n phase to envelope and phase to phase coupling.

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          Alpha-band oscillations, attention, and controlled access to stored information

          Alpha-band oscillations are the dominant oscillations in the human brain and recent evidence suggests that they have an inhibitory function. Nonetheless, there is little doubt that alpha-band oscillations also play an active role in information processing. In this article, I suggest that alpha-band oscillations have two roles (inhibition and timing) that are closely linked to two fundamental functions of attention (suppression and selection), which enable controlled knowledge access and semantic orientation (the ability to be consciously oriented in time, space, and context). As such, alpha-band oscillations reflect one of the most basic cognitive processes and can also be shown to play a key role in the coalescence of brain activity in different frequencies.
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            Theta oscillations in the hippocampus.

            Theta oscillations represent the "on-line" state of the hippocampus. The extracellular currents underlying theta waves are generated mainly by the entorhinal input, CA3 (Schaffer) collaterals, and voltage-dependent Ca(2+) currents in pyramidal cell dendrites. The rhythm is believed to be critical for temporal coding/decoding of active neuronal ensembles and the modification of synaptic weights. Nevertheless, numerous critical issues regarding both the generation of theta oscillations and their functional significance remain challenges for future research.
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              EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis.

              Evidence is presented that EEG oscillations in the alpha and theta band reflect cognitive and memory performance in particular. Good performance is related to two types of EEG phenomena (i) a tonic increase in alpha but a decrease in theta power, and (ii) a large phasic (event-related) decrease in alpha but increase in theta, depending on the type of memory demands. Because alpha frequency shows large interindividual differences which are related to age and memory performance, this double dissociation between alpha vs. theta and tonic vs. phasic changes can be observed only if fixed frequency bands are abandoned. It is suggested to adjust the frequency windows of alpha and theta for each subject by using individual alpha frequency as an anchor point. Based on this procedure, a consistent interpretation of a variety of findings is made possible. As an example, in a similar way as brain volume does, upper alpha power increases (but theta power decreases) from early childhood to adulthood, whereas the opposite holds true for the late part of the lifespan. Alpha power is lowered and theta power enhanced in subjects with a variety of different neurological disorders. Furthermore, after sustained wakefulness and during the transition from waking to sleeping when the ability to respond to external stimuli ceases, upper alpha power decreases, whereas theta increases. Event-related changes indicate that the extent of upper alpha desynchronization is positively correlated with (semantic) long-term memory performance, whereas theta synchronization is positively correlated with the ability to encode new information. The reviewed findings are interpreted on the basis of brain oscillations. It is suggested that the encoding of new information is reflected by theta oscillations in hippocampo-cortical feedback loops, whereas search and retrieval processes in (semantic) long-term memory are reflected by upper alpha oscillations in thalamo-cortical feedback loops. Copyright 1999 Elsevier Science B.V.
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                Author and article information

                Contributors
                wolfgang.klimesch@sbg.ac.at
                Journal
                Eur J Neurosci
                Eur. J. Neurosci
                10.1111/(ISSN)1460-9568
                EJN
                The European Journal of Neuroscience
                John Wiley and Sons Inc. (Hoboken )
                0953-816X
                1460-9568
                24 October 2018
                October 2018
                : 48
                : 7 , NEURAL OSCILLATIONS ( doiID: 10.1111/ejn.2018.48.issue-7 )
                : 2431-2453
                Affiliations
                [ 1 ] Centre of Cognitive Neuroscience University of Salzburg Salzburg Austria
                Author notes
                [*] [* ] Correspondence: Prof Dr W. Klimesch, as above.

                E‐mail: wolfgang.klimesch@ 123456sbg.ac.at

                Author information
                http://orcid.org/0000-0002-4221-9401
                Article
                EJN14192
                10.1111/ejn.14192
                6668003
                30281858
                f993b185-316a-49ef-b152-afd222e00c4b
                © 2018 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 June 2017
                : 19 August 2018
                : 13 September 2018
                Page count
                Figures: 7, Tables: 1, Pages: 23, Words: 23949
                Categories
                Special Issue Review
                Neural Oscillations
                Custom metadata
                2.0
                ejn14192
                October 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.6.2 mode:remove_FC converted:31.07.2019

                Neurosciences
                body oscillations,brain oscillations,cross‐frequency coupling,oscillatory hierarchy,phase coupling

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