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      Epileptogenic Source Imaging Using Cross-Frequency Coupled Signals From Scalp EEG

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          Abstract

          The epileptogenic zone (EZ) is a brain region containing the sources of seizure genesis. Removal of the EZ is associated with cessation of seizures after resective surgical procedures, as measured by Engel Class I score. This study describes a novel EEG (electroencephalography) source imaging (ESI) method which uses cross-frequency coupled potential signals (SCFC) derived from scalp EEG.

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

          A K Engel, P Fries, W. Singer (2001)
          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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            Rhythms of the Brain

            György Buzsáki (2006)
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              Measuring phase-amplitude coupling between neuronal oscillations of different frequencies.

              Adriano B. L. Tort, Robert Komorowski, Howard Eichenbaum … (2010)
              Neuronal oscillations of different frequencies can interact in several ways. There has been particular interest in the modulation of the amplitude of high-frequency oscillations by the phase of low-frequency oscillations, since recent evidence suggests a functional role for this type of cross-frequency coupling (CFC). Phase-amplitude coupling has been reported in continuous electrophysiological signals obtained from the brain at both local and macroscopic levels. In the present work, we present a new measure for assessing phase-amplitude CFC. This measure is defined as an adaptation of the Kullback-Leibler distance-a function that is used to infer the distance between two distributions-and calculates how much an empirical amplitude distribution-like function over phase bins deviates from the uniform distribution. We show that a CFC measure defined this way is well suited for assessing the intensity of phase-amplitude coupling. We also review seven other CFC measures; we show that, by some performance benchmarks, our measure is especially attractive for this task. We also discuss some technical aspects related to the measure, such as the length of the epochs used for these analyses and the utility of surrogate control analyses. Finally, we apply the measure and a related CFC tool to actual hippocampal recordings obtained from freely moving rats and show, for the first time, that the CA3 and CA1 regions present different CFC characteristics.
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                Author and article information

                Journal
                Title: IEEE Transactions on Biomedical Engineering
                Abbreviated Title: IEEE Trans. Biomed. Eng.
                Publisher: Institute of Electrical and Electronics Engineers (IEEE)
                ISSN (Print): 0018-9294
                ISSN (Electronic): 1558-2531
                Publication date Created: December 2016
                Publication date (Print): December 2016
                Volume: 63
                Issue: 12
                Pages: 2607-2618
                Article
                DOI: 10.1109/TBME.2016.2613936
                PubMed ID: 27875126
                SO-VID: f8796eb5-177b-45ae-a1e9-9cb4a57c8692
                Copyright © © 2016
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