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      Resting-state hippocampal connectivity correlates with symptom severity in post-traumatic stress disorder

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          Abstract

          Post-traumatic stress disorder (PTSD) is a serious mental health injury which can manifest after experiencing a traumatic life event. The disorder is characterized by symptoms of re-experiencing, avoidance, emotional numbing and hyper-arousal. Whilst its aetiology and resultant symptomology are better understood, relatively little is known about the underlying cortical pathophysiology, and in particular whether changes in functional connectivity may be linked to the disorder. Here, we used non-invasive neuroimaging with magnetoencephalography to examine functional connectivity in a resting-state protocol in the combat-related PTSD group ( n = 23), and a military control group ( n = 21). We identify atypical long-range hyperconnectivity in the high-gamma-band resting-state networks in a combat-related PTSD population compared to soldiers who underwent comparable environmental exposure but did not develop PTSD. Using graph analysis, we demonstrate that apparent network connectivity of relevant brain regions is associated with cognitive-behavioural outcomes. We also show that left hippocampal connectivity in the PTSD group correlates with scores on the well-established PTSD Checklist (PCL). These findings indicate that atypical synchronous neural interactions may underlie the psychological symptoms of PTSD, whilst also having utility as a potential biomarker to aid in the diagnosis and monitoring of the disorder.

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          Highlights

          • Soldiers with PTSD display increased connectivity in high gamma resting state.

          • Left frontal, temporal and hippocampus regions show hyperconnectivity in PTSD.

          • Emotionally-salient stimuli induced increased connectivity in soldiers without PTSD.

          • Connectivity strength in left hippocampus correlates with PTSD symptom severity.

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          Most cited references31

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          Diagnostic and statistical manual of mental disorders.

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            Coupling between neuronal firing, field potentials, and FMRI in human auditory cortex.

            Functional magnetic resonance imaging (fMRI) is an important tool for investigating human brain function, but the relationship between the hemodynamically based fMRI signals in the human brain and the underlying neuronal activity is unclear. We recorded single unit activity and local field potentials in auditory cortex of two neurosurgical patients and compared them with the fMRI signals of 11 healthy subjects during presentation of an identical movie segment. The predicted fMRI signals derived from single units and the measured fMRI signals from auditory cortex showed a highly significant correlation (r = 0.75, P < 10(-47)). Thus, fMRI signals can provide a reliable measure of the firing rate of human cortical neurons.
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              High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations

              In recent years high-frequency brain activity in the gamma-frequency band (30–80 Hz) and above has become the focus of a growing body of work in MEG/EEG research. Unfortunately, high-frequency neural activity overlaps entirely with the spectral bandwidth of muscle activity (~20–300 Hz). It is becoming appreciated that artifacts of muscle activity may contaminate a number of non-invasive reports of high-frequency activity. In this review, the spectral, spatial, and temporal characteristics of muscle artifacts are compared with those described (so far) for high-frequency neural activity. In addition, several of the techniques that are being developed to help suppress muscle artifacts in MEG/EEG are reviewed. Suggestions are made for the collection, analysis, and presentation of experimental data with the aim of reducing the number of publications in the future that may contain muscle artifacts.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                1 August 2014
                1 August 2014
                2014
                : 5
                : 377-384
                Affiliations
                [a ]Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
                [b ]Neuroscience & Mental Health Program, The Hospital for Sick Children Research Institute, Toronto, Canada
                [c ]Department of Medical Imaging, University of Toronto, Toronto, Canada
                [d ]Department of Psychology, University of Toronto, Toronto, Canada
                [e ]Directorate of Mental Health, Canadian Forces Health Services, Ottawa, Canada
                [f ]Canadian Forces Environmental Medicine Establishment, Toronto, Canada
                [g ]Defence Research and Development Canada, Toronto, Canada
                [h ]Division of Neurology, The Hospital for Sick Children, Toronto, Canada
                Author notes
                [* ]Corresponding author at: Department of Diagnostic Imaging, 555 University Ave., Toronto M5G 1X8, Canada. ben.dunkley@ 123456sickkids.ca
                Article
                S2213-1582(14)00109-0
                10.1016/j.nicl.2014.07.017
                4145533
                25180157
                3d6032a3-a727-4657-a981-1699bdf09534
                © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

                History
                : 22 April 2014
                : 7 July 2014
                : 30 July 2014
                Categories
                Article

                post-traumatic stress disorder,magnetoencephalography (meg),resting-state,functional connectivity,neural network

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