Topology of brain functional connectivity networks in posttraumatic stress disorder
Here we present functional neuroimaging-based network data (focused on the default mode network) collected from a cohort of US Veterans with history of combat exposure, combined with clinical assessments for PTSD and other psychiatric comorbidities. The data has been processed and analyzed using sev...
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2018-10-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340918310588 |
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doaj-e2a8de08453d4329bf5f2be9b299cb9b2020-11-25T02:32:52ZengElsevierData in Brief2352-34092018-10-012016581675Topology of brain functional connectivity networks in posttraumatic stress disorderTeddy J. Akiki0Christopher L. Averill1Kristen M. Wrocklage2J. Cobb Scott3Lynnette A. Averill4Brian Schweinsburg5Aaron Alexander-Bloch6Brenda Martini7Steven M. Southwick8John H. Krystal9Chadi G. Abdallah10National Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Gaylord Specialty Healthcare, Department of Psychology, Wallingford, CT, United StatesDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, Philadelphia, PA, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United StatesNational Center for PTSD – Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Correspondence to: Clinical Neurosciences Division – VA National Center for PTSD; Department of Psychiatry, Yale University School of Medicine, 950 Campbell Avenue, 151E, West Haven, CT 06516, United States. Fax: +1 203 937 3481.Here we present functional neuroimaging-based network data (focused on the default mode network) collected from a cohort of US Veterans with history of combat exposure, combined with clinical assessments for PTSD and other psychiatric comorbidities. The data has been processed and analyzed using several network construction methods (signed, thresholded, normalized to phase-randomized and rewired surrogates, functional and multimodal parcellation). An interpretation and discussion of the data can be found in the main NeuroImage article by Akiki et al. [51] Keywords: fMRI, PTSD, Functional connectivity, Graph theory, Veterans, Intrinsic connectivity networks, Default mode networkhttp://www.sciencedirect.com/science/article/pii/S2352340918310588 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Teddy J. Akiki Christopher L. Averill Kristen M. Wrocklage J. Cobb Scott Lynnette A. Averill Brian Schweinsburg Aaron Alexander-Bloch Brenda Martini Steven M. Southwick John H. Krystal Chadi G. Abdallah |
| spellingShingle |
Teddy J. Akiki Christopher L. Averill Kristen M. Wrocklage J. Cobb Scott Lynnette A. Averill Brian Schweinsburg Aaron Alexander-Bloch Brenda Martini Steven M. Southwick John H. Krystal Chadi G. Abdallah Topology of brain functional connectivity networks in posttraumatic stress disorder Data in Brief |
| author_facet |
Teddy J. Akiki Christopher L. Averill Kristen M. Wrocklage J. Cobb Scott Lynnette A. Averill Brian Schweinsburg Aaron Alexander-Bloch Brenda Martini Steven M. Southwick John H. Krystal Chadi G. Abdallah |
| author_sort |
Teddy J. Akiki |
| title |
Topology of brain functional connectivity networks in posttraumatic stress disorder |
| title_short |
Topology of brain functional connectivity networks in posttraumatic stress disorder |
| title_full |
Topology of brain functional connectivity networks in posttraumatic stress disorder |
| title_fullStr |
Topology of brain functional connectivity networks in posttraumatic stress disorder |
| title_full_unstemmed |
Topology of brain functional connectivity networks in posttraumatic stress disorder |
| title_sort |
topology of brain functional connectivity networks in posttraumatic stress disorder |
| publisher |
Elsevier |
| series |
Data in Brief |
| issn |
2352-3409 |
| publishDate |
2018-10-01 |
| description |
Here we present functional neuroimaging-based network data (focused on the default mode network) collected from a cohort of US Veterans with history of combat exposure, combined with clinical assessments for PTSD and other psychiatric comorbidities. The data has been processed and analyzed using several network construction methods (signed, thresholded, normalized to phase-randomized and rewired surrogates, functional and multimodal parcellation). An interpretation and discussion of the data can be found in the main NeuroImage article by Akiki et al. [51] Keywords: fMRI, PTSD, Functional connectivity, Graph theory, Veterans, Intrinsic connectivity networks, Default mode network |
| url |
http://www.sciencedirect.com/science/article/pii/S2352340918310588 |
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