Literature DB >> 29634322

Increased Small-World Network Topology Following Deployment-Acquired Traumatic Brain Injury Associated with the Development of Post-Traumatic Stress Disorder.

Jared A Rowland1,2,3,4, Jennifer R Stapleton-Kotloski1,5, Dorothy L Dobbins3, Emily Rogers3,5, Dwayne W Godwin3, Katherine H Taber1,2,6,7.   

Abstract

Cross-sectional and longitudinal studies in active duty and veteran cohorts have both demonstrated that deployment-acquired traumatic brain injury (TBI) is an independent risk factor for developing post-traumatic stress disorder (PTSD), beyond confounds such as combat exposure, physical injury, predeployment TBI, and pre-deployment psychiatric symptoms. This study investigated how resting-state brain networks differ between individuals who developed PTSD and those who did not following deployment-acquired TBI. Participants included postdeployment veterans with deployment-acquired TBI history both with and without current PTSD diagnosis. Graph metrics, including small-worldness, clustering coefficient, and modularity, were calculated from individually constructed whole-brain networks based on 5-min eyes-open resting-state magnetoencephalography (MEG) recordings. Analyses were adjusted for age and premorbid IQ. Results demonstrated that participants with current PTSD displayed higher levels of small-worldness, F(1,12) = 5.364, p < 0.039, partial eta squared = 0.309, and Cohen's d = 0.972, and clustering coefficient, F(1, 12) = 12.204, p < 0.004, partial eta squared = 0.504, and Cohen's d = 0.905, than participants without current PTSD. There were no between-group differences in modularity or the number of modules present. These findings are consistent with a hyperconnectivity hypothesis of the effect of TBI history on functional networks rather than a disconnection hypothesis, demonstrating increased levels of clustering coefficient rather than a decrease as might be expected; however, these results do not account for potential changes in brain structure. These results demonstrate the potential pathological sequelae of changes in functional brain networks following deployment-acquired TBI and represent potential neurobiological changes associated with deployment-acquired TBI that may increase the risk of subsequently developing PTSD.

Entities:  

Keywords:  graph theory; magnetoencephalography; post-traumatic stress disorder; risk factor; traumatic brain injury

Mesh:

Year:  2018        PMID: 29634322      PMCID: PMC5946732          DOI: 10.1089/brain.2017.0556

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  32 in total

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Authors:  Daniel E Glenn; Dean T Acheson; Mark A Geyer; Caroline M Nievergelt; Dewleen G Baker; Victoria B Risbrough
Journal:  Depress Anxiety       Date:  2017-05-10       Impact factor: 6.505

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Authors:  Lisa K Lindquist; Holly C Love; Eric B Elbogen
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2017-01-25       Impact factor: 2.198

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Authors:  David K Menon; Karen Schwab; David W Wright; Andrew I Maas
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Authors:  Jeffrey M Spielberg; Regina E McGlinchey; William P Milberg; David H Salat
Journal:  Biol Psychiatry       Date:  2015-02-18       Impact factor: 13.382

9.  The Chaos of Combat: An Overview of Challenges in Military Mild Traumatic Brain Injury Research.

Authors:  Nicholas D Davenport
Journal:  Front Psychiatry       Date:  2016-05-13       Impact factor: 4.157

10.  Graph theoretical analysis of complex networks in the brain.

Authors:  Cornelis J Stam; Jaap C Reijneveld
Journal:  Nonlinear Biomed Phys       Date:  2007-07-05
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  6 in total

1.  Alterations in the Topology of Functional Connectomes Are Associated with Post-Traumatic Stress Disorder and Blast-Related Mild Traumatic Brain Injury in Combat Veterans.

Authors:  Jared A Rowland; Jennifer R Stapleton-Kotloski; Sarah L Martindale; Emily E Rogers; Anna S Ord; Dwayne W Godwin; Katherine H Taber
Journal:  J Neurotrauma       Date:  2021-11-15       Impact factor: 5.269

2.  Developing Multimodal Dynamic Functional Connectivity as a Neuroimaging Biomarker.

Authors:  Suprateek Kundu; Jin Ming; Jennifer Stevens
Journal:  Brain Connect       Date:  2021-04-13

Review 3.  Magnetoencephalography: Clinical and Research Practices.

Authors:  Jennifer R Stapleton-Kotloski; Robert J Kotloski; Gautam Popli; Dwayne W Godwin
Journal:  Brain Sci       Date:  2018-08-17

4.  Altered Small-World Functional Network Topology in Patients with Optic Neuritis: A Resting-State fMRI Study.

Authors:  Ke Song; Juan Li; Yuanqiang Zhu; Fang Ren; Lingcan Cao; Zi-Gang Huang
Journal:  Dis Markers       Date:  2021-06-14       Impact factor: 3.434

5.  Rich Club Characteristics of Alcohol-Naïve Functional Brain Networks Predict Future Drinking Phenotypes in Rhesus Macaques.

Authors:  Jared A Rowland; Jennifer R Stapleton-Kotloski; Greg E Alberto; April T Davenport; Phillip M Epperly; Dwayne W Godwin; James B Daunais
Journal:  Front Behav Neurosci       Date:  2021-06-02       Impact factor: 3.558

6.  Poor speech recognition, sound localization and reorganization of brain activity in children with unilateral microtia-atresia.

Authors:  Qiang Liu; Yibei Wang; Tengyu Yang; Yue Fan; Bo Hou; Yushan Chen; Jian Wang; Xiaowei Chen
Journal:  Brain Imaging Behav       Date:  2021-07-10       Impact factor: 3.978

  6 in total

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