For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
8
views
40
references
 Top references
cited by
3
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      946
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Decreased Interhemispheric Functional Connectivity and Its Associations with Clinical Correlates following Traumatic Brain Injury

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      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

          Objective

          To explore the interhemispheric functional coordination following traumatic brain injury (TBI) and its association with posttraumatic anxiety and depressive symptoms.

          Methods

          This was a combination of a retrospective cohort study and a cross-sectional observational study. We investigated the functional coordination between hemispheres by voxel-mirrored homotopic connectivity (VMHC). Grey matter volumes were examined by voxel-based morphometry (VBM), and microstructural integrity of the corpus callosum (CC) was assessed by diffusion tension imaging (DTI). The anxiety and depressive symptoms were evaluated with the Hospital Anxiety and Depression Scale.

          Results

          The VMHC values of the bilateral middle temporal gyrus (MTG) and orbital middle frontal gyrus (MFG) were significantly decreased in TBI patients versus the healthy controls. Weakened homotopic functional connectivity (FC) in the bilateral orbital MFG is moderate positively correlated with anxiety and depressive symptoms. The white matter integrity in the CC was extensively reduced in TBI patients. In the receiver operating characteristic analysis, the VMHC value of the orbital MFG could distinguish TBI from HC with an area under the curve of 0.939 (sensitivity of 1 and specificity of 0.867).

          Conclusion

          TBI disrupts the interhemispheric functional and structural connection, which is correlated with posttraumatic mood disorders. These findings may serve as a clinical indicator for diagnosis.

          Related collections

          Most cited references40

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

          A fast diffeomorphic image registration algorithm.

          John Ashburner (2007)
          This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It is implemented for both 2D and 3D image registration and has been formulated to include an option for estimating inverse consistent deformations. Nonlinear registration is considered as a local optimisation problem, which is solved using a Levenberg-Marquardt strategy. The necessary matrix solutions are obtained in reasonable time using a multigrid method. A constant Eulerian velocity framework is used, which allows a rapid scaling and squaring method to be used in the computations. DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects.
          Article 0 comments Cited 1443 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.

            Chao-Gan Yan, Xin-Di Wang, Xi-Nian Zuo … (2016)
            Brain imaging efforts are being increasingly devoted to decode the functioning of the human brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding exponentially. Beyond the general neuroimaging analysis packages (e.g., SPM, AFNI and FSL), REST and DPARSF were developed to meet the increasing need of user-friendly toolboxes for R-fMRI data processing. To address recently identified methodological challenges of R-fMRI, we introduce the newly developed toolbox, DPABI, which was evolved from REST and DPARSF. DPABI incorporates recent research advances on head motion control and measurement standardization, thus allowing users to evaluate results using stringent control strategies. DPABI also emphasizes test-retest reliability and quality control of data processing. Furthermore, DPABI provides a user-friendly pipeline analysis toolkit for rat/monkey R-fMRI data analysis to reflect the rapid advances in animal imaging. In addition, DPABI includes preprocessing modules for task-based fMRI, voxel-based morphometry analysis, statistical analysis and results viewing. DPABI is designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies. We anticipate this open-source toolbox will assist novices and expert users alike and continue to support advancing R-fMRI methodology and its application to clinical translational studies.
            Article 0 comments Cited 1045 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Clinicopathological Evaluation of Chronic Traumatic Encephalopathy in Players of American Football.

              Jesse Mez, Daniel Daneshvar, Patrick T Kiernan … (2017)
              Players of American football may be at increased risk of long-term neurological conditions, particularly chronic traumatic encephalopathy (CTE).
              Article 0 comments Cited 349 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Liang Gao:
                ORCID: https://orcid.org/0000-0002-0151-1086
                Yan Dong:
                ORCID: https://orcid.org/0000-0002-6191-7774
                Journal
                Journal ID (nlm-ta): Biomed Res Int
                Journal ID (iso-abbrev): Biomed Res Int
                Journal ID (publisher-id): BMRI
                Title: BioMed Research International
                Publisher: Hindawi
                ISSN (Print): 2314-6133
                ISSN (Electronic): 2314-6141
                Publication date Collection: 2022
                Publication date (Electronic): 7 April 2022
                Volume: 2022
                Electronic Location Identifier: 3408660
                Affiliations
                1Department of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
                2Department of Neurosurgery, Shanghai Hushan Hospital, Fudan University, Shanghai, China
                3Department of Neurosurgery, People's Hospital of Putuo District, Tongji University School of Medicine, Shanghai, China
                4Department of Neurosurgery, Shanghai Pudong New Area People's Hospital, Shanghai, China
                5Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
                6Psychology Honors Program, University of California, San Diego, USA
                7Shanghai Tenth People's Hospital Clinical Medicine Scientific and Technical Innovation Park, Shanghai, China
                Author notes

                Academic Editor: Quintino Giorgio D'alessandris

                Author information
                https://orcid.org/0000-0003-1915-4686
                https://orcid.org/0000-0002-0151-1086
                https://orcid.org/0000-0002-6191-7774
                Article
                DOI: 10.1155/2022/3408660
                PMC ID: 9012975
                PubMed ID: 35437509
                SO-VID: 512f0f72-b840-4870-82d4-5b1f699ed075
                Copyright © Copyright © 2022 Yu Song et al.
                License:

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Date received : 21 August 2021
                Date accepted : 30 December 2021
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 81671201
                Award ID: 81671227
                Categories
                Subject: Research Article

                Data availability:

                Comments

                Comment on this article

                scite_

                Similar content946

                See all similar

                Cited by3

                See all cited by

                Most referenced authors556

                See all reference authors