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      Dynamic Changes in Phase-Amplitude Coupling Facilitate Spatial Attention Control in Fronto-Parietal Cortex

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          Abstract

          Electrocorticography reveals how coupling between two frequencies of neuronal oscillation allows the frontal and parietal areas of the cortex to control visual attention from moment to moment in the human brain.

          Abstract

          Attention is a core cognitive mechanism that allows the brain to allocate limited resources depending on current task demands. A number of frontal and posterior parietal cortical areas, referred to collectively as the fronto-parietal attentional control network, are engaged during attentional allocation in both humans and non-human primates. Numerous studies have examined this network in the human brain using various neuroimaging and scalp electrophysiological techniques. However, little is known about how these frontal and parietal areas interact dynamically to produce behavior on a fine temporal (sub-second) and spatial (sub-centimeter) scale. We addressed how human fronto-parietal regions control visuospatial attention on a fine spatiotemporal scale by recording electrocorticography (ECoG) signals measured directly from subdural electrode arrays that were implanted in patients undergoing intracranial monitoring for localization of epileptic foci. Subjects ( n = 8) performed a spatial-cuing task, in which they allocated visuospatial attention to either the right or left visual field and detected the appearance of a target. We found increases in high gamma (HG) power (70–250 Hz) time-locked to trial onset that remained elevated throughout the attentional allocation period over frontal, parietal, and visual areas. These HG power increases were modulated by the phase of the ongoing delta/theta (2–5 Hz) oscillation during attentional allocation. Critically, we found that the strength of this delta/theta phase-HG amplitude coupling predicted reaction times to detected targets on a trial-by-trial basis. These results highlight the role of delta/theta phase-HG amplitude coupling as a mechanism for sub-second facilitation and coordination within human fronto-parietal cortex that is guided by momentary attentional demands.

          Author Summary

          The frontal and parietal areas of the cortex control the ability to focus visuospatial attention, and damage to these areas results in profound attentional disturbances. Although much research has concentrated on where these areas are located, little is known about how these areas may function in humans. Previous studies have demonstrated that neuronal spiking is more likely to occur in specific time windows based upon the phase of lower frequency neural oscillations – rhythmic or repetitive neuronal activity. These low-frequency rhythms are hypothesized to coordinate the timing of neuronal firing within local and across network regions. Here, we investigated how human frontal and parietal cortices use neural oscillations to control visuospatial attention. We identified a high-frequency component of electrical brain activity, broadband high gamma (70–250 Hz) amplitude, that became phase-locked to a slower rhythm, delta/theta (2–5 Hz), over frontal, parietal, and visual areas while the study subjects paid attention to the peripheral visual field. Changes in the strength of the coupling between delta/theta phase and high gamma amplitude predicted the attentional behavior of the subjects across single trials. From these results, we conclude that coupling between delta/theta phase and high gamma amplitude serves to coordinate information within – and perhaps between – frontal and parietal areas during allocation of visuospatial attention.

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          Most cited references44

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          Dynamic predictions: oscillations and synchrony in top-down processing.

          Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.
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            The θ-γ neural code.

            Theta and gamma frequency oscillations occur in the same brain regions and interact with each other, a process called cross-frequency coupling. Here, we review evidence for the following hypothesis: that the dual oscillations form a code for representing multiple items in an ordered way. This form of coding has been most clearly demonstrated in the hippocampus, where different spatial information is represented in different gamma subcycles of a theta cycle. Other experiments have tested the functional importance of oscillations and their coupling. These involve correlation of oscillatory properties with memory states, correlation with memory performance, and effects of disrupting oscillations on memory. Recent work suggests that this coding scheme coordinates communication between brain regions and is involved in sensory as well as memory processes. Copyright © 2013 Elsevier Inc. All rights reserved.
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              New vistas for alpha-frequency band oscillations.

              The amplitude of alpha-frequency band (8-14 Hz) activity in the human electroencephalogram is suppressed by eye opening, visual stimuli and visual scanning, whereas it is enhanced during internal tasks, such as mental calculation and working memory. alpha-Frequency band oscillations have hence been thought to reflect idling or inhibition of task-irrelevant cortical areas. However, recent data on alpha-amplitude and, in particular, alpha-phase dynamics posit a direct and active role for alpha-frequency band rhythmicity in the mechanisms of attention and consciousness. We propose that simultaneous alpha-, beta- (14-30 Hz) and gamma- (30-70 Hz) frequency band oscillations are required for unified cognitive operations, and hypothesize that cross-frequency phase synchrony between alpha, beta and gamma oscillations coordinates the selection and maintenance of neuronal object representations during working memory, perception and consciousness.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, USA )
                1544-9173
                1545-7885
                August 2014
                26 August 2014
                : 12
                : 8
                : e1001936
                Affiliations
                [1 ]Department of Psychology, University of California, Berkeley, Berkeley, California, United States of America
                [2 ]Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, United States of America
                [3 ]Department of Neurology, Epilepsy Center, Johns Hopkins Medical Institutions, Baltimore, Maryland, United States of America
                [4 ]Department of Neurology, Children's Hospital and Research Center, Oakland, Oakland, California, United States of America
                [5 ]Department of Surgery, Division of Neurological Surgery, Children's Hospital and Research Center, Oakland, Oakland, California, United States of America
                [6 ]Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, United States of America
                [7 ]Laboratory of Behavioral and Cognitive Neurology, Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, United States of America
                [8 ]Stanford Human Intracranial Cognitive Electrophysiology Program (SHICEP), Stanford University, Stanford, California, United States of America
                University of Oregon, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                The author(s) have made the following declarations about their contributions: Conceived and designed the experiments: SMS RTK. Performed the experiments: SMS NEC. Analyzed the data: SMS. Contributed reagents/materials/analysis tools: RAK KIA JP. Contributed to the writing of the manuscript: SMS JP RTK.

                Article
                PBIOLOGY-D-14-01519
                10.1371/journal.pbio.1001936
                4144794
                25157678
                1ff724e3-0450-4388-b9d2-d96fd42fe50a
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 April 2014
                : 18 July 2014
                Page count
                Pages: 14
                Funding
                This study was supported by National Institutes of Health grants 2R37NS21135 to RTK, 1R01NS078396 to JP, and 1R01NS40596 to NEC and the Nielsen Corporation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Attention
                Neurophysiology
                Brain Electrophysiology
                Evoked Potentials
                Sensory Perception
                Vision
                Cognitive Neuroscience
                Neural Networks
                Custom metadata
                The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. For data access, please contact the corresponding authors, Sara Szczepanski ( sszczepa@ 123456berkeley.edu ) or Robert Knight ( rtknight@ 123456berkeley.edu ). The data will be stored in the Collaborative Research in Computational Neuroscience data sharing website (crcns.org) at the Redwood Center for Theoretical Neuroscience, University of California, Berkeley under the direction of Fritz Sommer ( fsommer@ 123456berkeley.edu ), who maintains the site. These data will be available in perpetuity in the event the corresponding authors or Professor Sommer leave UC Berkeley.

                Life sciences
                Life sciences

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