2015
DOI: 10.1016/j.pscychresns.2015.09.006
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Evidence for disrupted gray matter structural connectivity in posttraumatic stress disorder

Abstract: Posttraumatic stress disorder (PTSD) is characterized by atrophy within the prefrontal-limbic network. Graph analysis was used to investigate to what degree atrophy in PTSD is associated with impaired structural connectivity within prefrontal limbic network (restricted) and how this affects the integration of the prefrontal limbic network with the rest of the brain (whole-brain). 85 male veterans (45 PTSD neg, 40 PTSD pos) underwent volumetric MRI on a 3T MR. Subfield volumes were obtained using a manual label… Show more

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Cited by 50 publications
(89 citation statements)
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References 63 publications
(49 reference statements)
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“…We selected the measures that would enable direct comparisons of our results with previous findings (Mueller et al, 2015; Teicher et al, 2014). Four types of centrality measures were analyzed using Brain Connectivity Toolbox (BCT (Rubinov and Sporns, 2010);): (a) degree centrality is the number of directly interconnected nodes, and reflects how much a node serves as a focal point of communication; (b) betweenness centrality is the frequency with which a node falls between pairs of other nodes on their shortest interconnecting path, and reflects the potential of a node to control communication; (c) closeness centrality, adapted from the distance function in BCT, reflects the normalized number of steps required to access every other node from a given node in a network, and reflects a node's speed to spread information throughout the network; (d) eigenvector centrality is a measure of a node's overall influence based on the idea that the importance of a node is recursively related to the importance of the nodes associated with it.…”
Section: Methodsmentioning
confidence: 99%
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“…We selected the measures that would enable direct comparisons of our results with previous findings (Mueller et al, 2015; Teicher et al, 2014). Four types of centrality measures were analyzed using Brain Connectivity Toolbox (BCT (Rubinov and Sporns, 2010);): (a) degree centrality is the number of directly interconnected nodes, and reflects how much a node serves as a focal point of communication; (b) betweenness centrality is the frequency with which a node falls between pairs of other nodes on their shortest interconnecting path, and reflects the potential of a node to control communication; (c) closeness centrality, adapted from the distance function in BCT, reflects the normalized number of steps required to access every other node from a given node in a network, and reflects a node's speed to spread information throughout the network; (d) eigenvector centrality is a measure of a node's overall influence based on the idea that the importance of a node is recursively related to the importance of the nodes associated with it.…”
Section: Methodsmentioning
confidence: 99%
“…Previous research has also shown structural and functional disruptions to OFC and ACC in survivors of childhood maltreatment (Kelly et al, 2013; Lim et al, 2014; Teicher et al, 2014) and those with PTSD (Morey et al, 2016; Mueller et al, 2015; Spielberg et al, 2015). We hypothesized that maltreatment would be broadly associated with altered centrality in OFC and in the ACC, particularly children with PTSD as disruptions in these neural networks may increase their vulnerability to the disorder.…”
Section: Introductionmentioning
confidence: 92%
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