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      Aberrant occipital dynamics differentiate HIV-infected patients with and without cognitive impairment

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          Abstract

          The population-level neural dynamics underlying HIV-associated neurocognitive disorders (HAND) are poorly understood. Wiesman et al. report that spontaneous and oscillatory neural activity in occipital cortices distinguish HIV-infected patients from uninfected controls, and patients by HAND status. This is the first neuroimaging evidence to dissociate HIV-infected patients with and without HAND.

          Abstract

          Combination antiretroviral therapies have revolutionized the treatment of HIV infection, and many patients now enjoy a lifespan equal to that of the general population. However, HIV-associated neurocognitive disorders (HAND) remain a major health concern, with between 30% and 70% of all HIV-infected patients developing cognitive impairments during their life time. One important feature of HAND is visuo-perceptual deficits, but the systems-level neural dynamics underlying these impairments are poorly understood. In the current study, we use magnetoencephalography and advanced time series analyses to examine these neural dynamics during a visuospatial processing task in a group of HIV-infected patients without HAND ( n = 25), patients with HAND ( n = 18), and a group of demographically-matched uninfected controls ( n = 24). All participants completed a thorough neuropsychological assessment, and underwent magnetoencephalography and structural MRI protocols. In agreement with previous studies, patients with HAND performed significantly worse than HIV-infected patients without HAND and controls on the cognitive task, in terms of increased reaction time and decreased accuracy. Our magnetoencephalography results demonstrated that both spontaneous and neural oscillatory activity within the occipital cortices were affected by HIV infection, and that these patterns predicted behavioural performance (i.e. accuracy) on the task. Specifically, spontaneous neural activity in the alpha (8–16 Hz) and gamma (52–70 Hz) bands during the prestimulus baseline period, as well as oscillatory theta responses (4–8 Hz) during task performance were aberrant in HIV-infected patients, with both spontaneous alpha and oscillatory theta activity significantly predicting accuracy on the task and neuropsychological performance outside of the magnetoencephalography scanner. Importantly, these rhythmic patterns of population-level neural activity also distinguished patients by HAND status, such that spontaneous alpha activity in patients with HAND was elevated relative to HIV-infected patients without HAND and controls. In contrast, HIV-infected patients with and without HAND had increased spontaneous gamma compared to controls. Finally, there was a stepwise decrease in oscillatory theta activity as a function of disease severity, such that the response diminished from controls to patients without HAND to patients with HAND. Interestingly, the strength of the relationship between this theta response and accuracy also dissociated patient groups in a similar manner (controls > HIV with no HAND > HIV with HAND), indicating a reduced coupling between neurophysiology and behaviour in HIV-infected patients. This study provides the first neuroimaging evidence of a dissociation between HIV-infected patients with and without HAND, and these findings shed new light on the neural bases of cognitive impairment in HIV infection.

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          Most cited references56

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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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              Dynamic imaging of coherent sources: Studying neural interactions in the human brain.

              Functional connectivity between cortical areas may appear as correlated time behavior of neural activity. It has been suggested that merging of separate features into a single percept ("binding") is associated with coherent gamma band activity across the cortical areas involved. Therefore, it would be of utmost interest to image cortico-cortical coherence in the working human brain. The frequency specificity and transient nature of these interactions requires time-sensitive tools such as magneto- or electroencephalography (MEG/EEG). Coherence between signals of sensors covering different scalp areas is commonly taken as a measure of functional coupling. However, this approach provides vague information on the actual cortical areas involved, owing to the complex relation between the active brain areas and the sensor recordings. We propose a solution to the crucial issue of proceeding beyond the MEG sensor level to estimate coherences between cortical areas. Dynamic imaging of coherent sources (DICS) uses a spatial filter to localize coherent brain regions and provides the time courses of their activity. Reference points for the computation of neural coupling may be based on brain areas of maximum power or other physiologically meaningful information, or they may be estimated starting from sensor coherences. The performance of DICS is evaluated with simulated data and illustrated with recordings of spontaneous activity in a healthy subject and a parkinsonian patient. Methods for estimating functional connectivities between brain areas will facilitate characterization of cortical networks involved in sensory, motor, or cognitive tasks and will allow investigation of pathological connectivities in neurological disorders.
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                Author and article information

                Journal
                Brain
                Brain
                brainj
                Brain
                Oxford University Press
                0006-8950
                1460-2156
                June 2018
                17 April 2018
                17 April 2018
                : 141
                : 6
                : 1678-1690
                Affiliations
                [1 ]Department of Neurological Sciences, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
                [2 ]Center for Magnetoencephalography, UNMC, Omaha, NE, USA
                [3 ]Department of Internal Medicine, Division of Infectious Diseases, UNMC, Omaha, NE, USA
                [4 ]Department of Neurology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
                [5 ]Department of Pharmacology and Experimental Neuroscience, UNMC, Omaha, NE, USA
                Author notes
                Correspondence to: Tony W. Wilson Center for Magnetoencephalography 988422 Nebraska Medical Center Omaha Nebraska 68198-8422, USA E-mail: twwilson@ 123456unmc.edu
                Author information
                http://orcid.org/0000-0003-0917-1570
                http://orcid.org/0000-0002-5053-8306
                Article
                awy097
                10.1093/brain/awy097
                5972635
                29672678
                972c4a8a-7c30-43c1-a9f4-2f0f8d5b6e55
                © The Author(s) (2018). Published by Oxford University Press on behalf of the Guarantors of Brain.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 19 July 2017
                : 8 January 2018
                : 19 February 2018
                Page count
                Pages: 13
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: R01-MH103220
                Award ID: P30-MH062261
                Award ID: F31-AG055332
                Funded by: National Science Foundation 10.13039/100000001
                Award ID: #1539067
                Funded by: University of Nebraska Medical Center 10.13039/100006518
                Categories
                Original Articles

                Neurosciences
                hiv,hiv-associated neurocognitive disorders,visuo-perception,magnetoencephalography,neural oscillations

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