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Increased Small-World Network Topology Following Deployment-Acquired Traumatic Brain Injury Associated with the Development of Post-Traumatic Stress Disorder.
Rowland, Jared A; Stapleton-Kotloski, Jennifer R; Dobbins, Dorothy L; Rogers, Emily; Godwin, Dwayne W; Taber, Katherine H.
Afiliação
  • Rowland JA; 1 Research and Academic Affairs Service Line, W.G. "Bill" Hefner VA Medical Center , Salisbury, North Carolina.
  • Stapleton-Kotloski JR; 2 Mid Atlantic Mental Illness Research Education and Clinical Center , Durham, North Carolina.
  • Dobbins DL; 3 Department of Neurobiology & Anatomy, Wake Forest School of Medicine , Winston-Salem, North Carolina.
  • Rogers E; 4 Department of Psychiatry & Behavioral Medicine, Wake Forest School of Medicine , Winston-Salem, North Carolina.
  • Godwin DW; 1 Research and Academic Affairs Service Line, W.G. "Bill" Hefner VA Medical Center , Salisbury, North Carolina.
  • Taber KH; 5 Department of Neurology, Wake Forest School of Medicine , Winston-Salem, North Carolina.
Brain Connect ; 8(4): 205-211, 2018 05.
Article em En | MEDLINE | ID: mdl-29634322
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos de Estresse Pós-Traumáticos / Encéfalo / Lesões Encefálicas / Mapeamento Encefálico / Vias Neurais Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos de Estresse Pós-Traumáticos / Encéfalo / Lesões Encefálicas / Mapeamento Encefálico / Vias Neurais Idioma: En Ano de publicação: 2018 Tipo de documento: Article