13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Disrupted Gamma Synchrony after Mild Traumatic Brain Injury and Its Correlation with White Matter Abnormality

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Mild traumatic brain injury (mTBI) has been firmly associated with disrupted white matter integrity due to induced white matter damage and degeneration. However, comparatively less is known about the changes of the intrinsic functional connectivity mediated via neural synchronization in the brain after mTBI. Moreover, despite the presumed link between structural and functional connectivity, no existing studies in mTBI have demonstrated clear association between the structural abnormality of white matter axons and the disruption of neural synchronization. To investigate these questions, we recorded resting state EEG and diffusion tensor imaging (DTI) from a cohort of military service members. A newly developed synchronization measure, the weighted phase lag index was applied on the EEG data for estimating neural synchronization. Fractional anisotropy was computed from the DTI data for estimating white matter integrity. Fifteen service members with a history of mTBI within the past 3 years were compared to 22 demographically similar controls who reported no history of head injury. We observed that synchronization at low-gamma frequency band (25–40 Hz) across scalp regions was significantly decreased in mTBI cases compared with controls. The synchronization in theta (4–7 Hz), alpha (8–13 Hz), and beta (15–23 Hz) frequency bands were not significantly different between the two groups. In addition, we found that across mTBI cases, the disrupted synchronization at low-gamma frequency was significantly correlated with the white matter integrity of the inferior cerebellar peduncle, which was also significantly reduced in the mTBI group. These findings demonstrate an initial correlation between the impairment of white matter integrity and alterations in EEG synchronization in the brain after mTBI. The results also suggest that disruption of intrinsic neural synchronization at low-gamma frequency may be a characteristic functional pathology following mTBI and may prove useful for developing better methods of diagnosis and treatment.

          Related collections

          Most cited references57

          • Record: found
          • Abstract: found
          • Article: not found

          Abnormal neural oscillations and synchrony in schizophrenia.

          Converging evidence from electrophysiological, physiological and anatomical studies suggests that abnormalities in the synchronized oscillatory activity of neurons may have a central role in the pathophysiology of schizophrenia. Neural oscillations are a fundamental mechanism for the establishment of precise temporal relationships between neuronal responses that are in turn relevant for memory, perception and consciousness. In patients with schizophrenia, the synchronization of beta- and gamma-band activity is abnormal, suggesting a crucial role for dysfunctional oscillations in the generation of the cognitive deficits and other symptoms of the disorder. Dysfunctional oscillations may arise owing to anomalies in the brain's rhythm-generating networks of GABA (gamma-aminobutyric acid) interneurons and in cortico-cortical connections.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Testing for nonlinearity in time series: the method of surrogate data

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources.

              To address the problem of volume conduction and active reference electrodes in the assessment of functional connectivity, we propose a novel measure to quantify phase synchronization, the phase lag index (PLI), and compare its performance to the well-known phase coherence (PC), and to the imaginary component of coherency (IC). The PLI is a measure of the asymmetry of the distribution of phase differences between two signals. The performance of PLI, PC, and IC was examined in (i) a model of 64 globally coupled oscillators, (ii) an EEG with an absence seizure, (iii) an EEG data set of 15 Alzheimer patients and 13 control subjects, and (iv) two MEG data sets. PLI and PC were more sensitive than IC to increasing levels of true synchronization in the model. PC and IC were influenced stronger than PLI by spurious correlations because of common sources. All measures detected changes in synchronization during the absence seizure. In contrast to PC, PLI and IC were barely changed by the choice of different montages. PLI and IC were superior to PC in detecting changes in beta band connectivity in AD patients. Finally, PLI and IC revealed a different spatial pattern of functional connectivity in MEG data than PC. The PLI performed at least as well as the PC in detecting true changes in synchronization in model and real data but, at the same token and like-wise the IC, it was much less affected by the influence of common sources and active reference electrodes. Copyright 2007 Wiley-Liss, Inc.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                30 October 2017
                2017
                : 8
                : 571
                Affiliations
                [1] 1Traumatic Injury Research Program, Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD, United States
                [2] 2The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, United States
                [3] 3Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD, United States
                [4] 4Graduate School of Nursing, Uniformed Services University of the Health Sciences , Bethesda, MD, United States
                [5] 5Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , Bethesda, MD, United States
                Author notes

                Edited by: Vassilis E. Koliatsos, Johns Hopkins School of Medicine, United States

                Reviewed by: Peka Christova, University of Minnesota, United States; James Joseph Wright, University of Auckland, New Zealand

                *Correspondence: Chao Wang, chaowang.ufl@ 123456gmail.com

                Specialty section: This article was submitted to Neurotrauma, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2017.00571
                5670344
                29163337
                fc9806c6-3477-4410-ac54-6a02cc7bc6c4
                Copyright © 2017 Wang, Costanzo, Rapp, Darmon, Nathan, Bashirelahi, Pham, Roy and Keyser.

                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
                : 04 June 2017
                : 12 October 2017
                Page count
                Figures: 3, Tables: 2, Equations: 6, References: 74, Pages: 10, Words: 8269
                Categories
                Neuroscience
                Original Research

                Neurology
                mild traumatic brain injury,eeg,neural synchronization,functional connectivity,white matter integrity

                Comments

                Comment on this article