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      Intraoperative Frontal Alpha-Band Power Correlates with Preoperative Neurocognitive Function in Older Adults

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          Abstract

          Each year over 16 million older Americans undergo general anesthesia for surgery, and up to 40% develop postoperative delirium and/or cognitive dysfunction (POCD). Delirium and POCD are each associated with decreased quality of life, early retirement, increased 1-year mortality, and long-term cognitive decline. Multiple investigators have thus suggested that anesthesia and surgery place severe stress on the aging brain, and that patients with less ability to withstand this stress will be at increased risk for developing postoperative delirium and POCD. Delirium and POCD risk are increased in patients with lower preoperative cognitive function, yet preoperative cognitive function is not routinely assessed, and no intraoperative physiological predictors have been found that correlate with lower preoperative cognitive function. Since general anesthesia causes alpha-band (8–12 Hz) electroencephalogram (EEG) power to decrease occipitally and increase frontally (known as “anteriorization”), and anesthetic-induced frontal alpha power is reduced in older adults, we hypothesized that lower intraoperative frontal alpha power might correlate with lower preoperative cognitive function. Here, we provide evidence that such a correlation exists, suggesting that lower intraoperative frontal alpha power could be used as a physiological marker to identify older adults with lower preoperative cognitive function. Lower intraoperative frontal alpha power could thus be used to target these at-risk patients for possible therapeutic interventions to help prevent postoperative delirium and POCD, or for increased postoperative monitoring and follow-up. More generally, these results suggest that understanding interindividual differences in how the brain responds to anesthetic drugs can be used as a probe of neurocognitive function (and dysfunction), and might be a useful measure of neurocognitive function in older adults.

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          Most cited references55

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          Über das Elektrenkephalogramm des Menschen

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            The Role of Alpha-Band Brain Oscillations as a Sensory Suppression Mechanism during Selective Attention

            Evidence has amassed from both animal intracranial recordings and human electrophysiology that neural oscillatory mechanisms play a critical role in a number of cognitive functions such as learning, memory, feature binding and sensory gating. The wide availability of high-density electrical and magnetic recordings (64–256 channels) over the past two decades has allowed for renewed efforts in the characterization and localization of these rhythms. A variety of cognitive effects that are associated with specific brain oscillations have been reported, which range in spectral, temporal, and spatial characteristics depending on the context. Our laboratory has focused on investigating the role of alpha-band oscillatory activity (8–14 Hz) as a potential attentional suppression mechanism, and this particular oscillatory attention mechanism will be the focus of the current review. We discuss findings in the context of intersensory selective attention as well as intrasensory spatial and feature-based attention in the visual, auditory, and tactile domains. The weight of evidence suggests that alpha-band oscillations can be actively invoked within cortical regions across multiple sensory systems, particularly when these regions are involved in processing irrelevant or distracting information. That is, a central role for alpha seems to be as an attentional suppression mechanism when objects or features need to be specifically ignored or selected against.
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              Electroencephalogram signatures of loss and recovery of consciousness from propofol.

              Unconsciousness is a fundamental component of general anesthesia (GA), but anesthesiologists have no reliable ways to be certain that a patient is unconscious. To develop EEG signatures that track loss and recovery of consciousness under GA, we recorded high-density EEGs in humans during gradual induction of and emergence from unconsciousness with propofol. The subjects executed an auditory task at 4-s intervals consisting of interleaved verbal and click stimuli to identify loss and recovery of consciousness. During induction, subjects lost responsiveness to the less salient clicks before losing responsiveness to the more salient verbal stimuli; during emergence they recovered responsiveness to the verbal stimuli before recovering responsiveness to the clicks. The median frequency and bandwidth of the frontal EEG power tracked the probability of response to the verbal stimuli during the transitions in consciousness. Loss of consciousness was marked simultaneously by an increase in low-frequency EEG power (<1 Hz), the loss of spatially coherent occipital alpha oscillations (8-12 Hz), and the appearance of spatially coherent frontal alpha oscillations. These dynamics reversed with recovery of consciousness. The low-frequency phase modulated alpha amplitude in two distinct patterns. During profound unconsciousness, alpha amplitudes were maximal at low-frequency peaks, whereas during the transition into and out of unconsciousness, alpha amplitudes were maximal at low-frequency nadirs. This latter phase-amplitude relationship predicted recovery of consciousness. Our results provide insights into the mechanisms of propofol-induced unconsciousness, establish EEG signatures of this brain state that track transitions in consciousness precisely, and suggest strategies for monitoring the brain activity of patients receiving GA.
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                Author and article information

                Contributors
                Journal
                Front Syst Neurosci
                Front Syst Neurosci
                Front. Syst. Neurosci.
                Frontiers in Systems Neuroscience
                Frontiers Media S.A.
                1662-5137
                08 May 2017
                2017
                : 11
                : 24
                Affiliations
                [1] 1Center for Cognitive Neuroscience, Duke University Durham, NC, USA
                [2] 2Department of Psychology and Neuroscience, Duke University Durham, NC, USA
                [3] 3Department of Anesthesiology, Duke University Medical Center Durham, NC, USA
                [4] 4Department of Psychiatry and Behavioral Sciences, Duke University Medical Center Durham, NC, USA
                [5] 5Department of Neurobiology, Duke University Medical Center Durham, NC, USA
                Author notes

                Edited by: Logan James Voss, Waikato District Health Board, New Zealand

                Reviewed by: Matthias Kreuzer, Emory University, USA; Seun Akeju, Massachusetts General Hospital, USA

                *Correspondence: Marty G. Woldorff woldorff@ 123456duke.edu Miles Berger miles.berger@ 123456duke.edu

                Co-senior authors.

                Article
                10.3389/fnsys.2017.00024
                5420579
                28533746
                957dcdac-e2ff-40b8-9854-c4ae1c1c3af6
                Copyright © 2017 Giattino, Gardner, Sbahi, Roberts, Cooter, Moretti, Browndyke, Mathew, Woldorff, Berger and the MADCO-PC Investigators.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 February 2017
                : 05 April 2017
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 73, Pages: 11, Words: 8897
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: T32 #GM08600, R03-AG050918
                Funded by: American Geriatrics Society 10.13039/100002582
                Award ID: Jahnigen Award
                Funded by: International Anesthesia Research Society 10.13039/100008984
                Award ID: Mentored Research Award
                Categories
                Neuroscience
                Original Research

                Neurosciences
                cognitive function,aging,alpha oscillations,anteriorization,eeg,general anesthesia,isoflurane,propofol

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