Abstract
Mild traumatic brain injury (mTBI) is highly prevalent in military populations, with many service members suffering from long-term symptoms. Posttraumatic stress disorder (PTSD) often co-occurs with mTBI and predicts worse clinical outcomes. Functional neuroimaging research suggests there are both overlapping and distinct patterns of resting-state functional connectivity (rsFC) in mTBI versus PTSD. However, few studies have directly compared rsFC of cortical networks in military service members with these two conditions. In the present study, U.S. service members (n = 137; ages 19–59; 120 male) underwent resting-state fMRI scans. Participants were divided into three study groups: mTBI only, PTSD only, and orthopedically injured (OI) controls. Analyses investigated group differences in rsFC for cortical networks: default mode (DMN), frontoparietal (FPN), salience, somatosensory, motor, auditory, and visual. Analyses were family-wise error (FWE) cluster-corrected and Bonferroni-corrected for number of network seeds regions at the whole brain level (pFWE < 0.002). Both mTBI and PTSD groups had reduced rsFC for DMN and FPN regions compared with OI controls. These group differences were largely driven by diminished connectivity in the PTSD group. rsFC with the middle frontal gyrus of the FPN was increased in mTBI, but decreased in PTSD. Overall, these results suggest that PTSD symptoms may have a more consistent signal than mTBI. Our novel findings of opposite patterns of connectivity with lateral prefrontal cortex highlight a potential biomarker that could be used to differentiate between these conditions.
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Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007). Disruption of large-scale brain Systems in Advanced Aging. Neuron, 56(5), 924–935. https://doi.org/10.1016/j.neuron.2007.10.038.
Bazarian, J. J., Donnelly, K., Peterson, D. R., Warner, G. C., Zhu, T., & Zhong, J. (2013). The relation between posttraumatic stress disorder and mild traumatic brain injury acquired during operations enduring freedom and Iraqi freedom. The Journal of Head Trauma Rehabilitation, 28(1), 1–12. https://doi.org/10.1097/HTR.0b013e318256d3d3.
Bliese, P. D., Wright, K. M., Adler, A. B., Cabrera, O., Castro, C. A., & Hoge, C. W. (2008). Validating the primary care posttraumatic stress disorder screen and the posttraumatic stress disorder checklist with soldiers returning from combat. Journal of Consulting and Clinical Psychology, 76(2), 272–281. https://doi.org/10.1037/0022-006X.76.2.272.
Bluhm, R. L., Williamson, P. C., Osuch, E. A., Frewen, P. A., Stevens, T. K., Boksman, K., Neufeld, R. W., Théberge, J., & Lanius, R. A. (2009). Alterations in default network connectivity in posttraumatic stress disorder related to early-life trauma. Journal of Psychiatry & Neuroscience : JPN, 34(3), 187–194 PMC.
Bolzenius, J. D., Velez, C. S., Lewis, J. D., Bigler, E. D., Wade, B. S., Cooper, D. B., Kennedy, J. E., Reid, M. W., Ritter, J. L., & York, G. E. (2018). Diffusion imaging findings in US service members with mild traumatic brain injury and posttraumatic stress disorder. The Journal of Head Trauma Rehabilitation, 33(6), 393–402.
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012). Salience network integrity predicts default mode network function after traumatic brain injury. Proceedings of the National Academy of Sciences, 109(12), 4690–4695. https://doi.org/10.1073/pnas.1113455109.
Boveroux, P., Vanhaudenhuyse, B. A., Bruno, B. M.-A., Noirhomme, Q., Lauwick, S., Luxen, A., Degueldre, C., Plenevaux, A., Schnakers, C., Phillips, C., Brichant, J.-F., Bonhomme, V., Maquet, P., Greicius, M. D., Laureys, S., & Boly, M. (2010). Breakdown of within- and between-network resting state functional magnetic resonance imaging connectivity during Propofol-induced loss of consciousness. Anesthesiology, 113(5), 1038–1053. https://doi.org/10.1097/ALN.0b013e3181f697f5.
Bryant, R. A. (2008). Disentangling mild traumatic brain injury and stress reactions. New England Journal of Medicine, 358(5), 525–527. https://doi.org/10.1056/NEJMe078235.
Carlson, K. F., Kehle, S. M., Meis, L. A., Greer, N., MacDonald, R., Rutks, I., Sayer, N. A., Dobscha, S. K., & Wilt, T. J. (2011). Prevalence, assessment, and treatment of mild traumatic brain injury and posttraumatic stress disorder: A systematic review of the evidence. The Journal of Head Trauma Rehabilitation, 26(2) https://journals.lww.com/headtraumarehab/Fulltext/2011/03000/Prevalence,_Assessment,_and_Treatment_of_Mild.1.aspx, 103–115.
Carp, J. (2012). The secret lives of experiments: Methods reporting in the fMRI literature. NeuroImage, 63(1), 289–300. https://doi.org/10.1016/j.neuroimage.2012.07.004.
Cicerone, K. D., & Kalmar, K. (1995). Persistent postconcussion syndrome: The structure of subjective complaints after mild traumatic brain injury. The Journal of Head Trauma Rehabilitation, 10(3), 1–17. https://doi.org/10.1097/00001199-199510030-00002.
Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., Gur, R. C., Gur, R. E., Bassett, D. S., & Satterthwaite, T. D. (2017). Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. Cleaning up the FMRI Time Series: Mitigating Noise with Advanced Acquisition and Correction Strategies, 154(supplement C), 174–187. https://doi.org/10.1016/j.neuroimage.2017.03.020.
Cox, R. W. (1996). AFNI: Software for analysis and visualization of functional magnetic resonance Neuroimages. Computers and Biomedical Research, 29(3), 162–173. https://doi.org/10.1006/cbmr.1996.0014.
Disner, S. G., Marquardt, C. A., Mueller, B. A., Burton, P. C., & Sponheim, S. R. (2018). Spontaneous neural activity differences in posttraumatic stress disorder: A quantitative resting-state meta-analysis and fMRI validation. Human Brain Mapping, 39(2), 837–850. https://doi.org/10.1002/hbm.23886.
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., Schlaggar, B. L., & Petersen, S. E. (2007). Distinct brain networks for adaptive and stable task control in humans. Proceedings of the National Academy of Sciences, 104(26), 11073–11078. https://doi.org/10.1073/pnas.0704320104.
Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., Schatzberg, A. F., Sudheimer, K., Keller, J., Mayberg, H. S., Gunning, F. M., Alexopoulos, G. S., Fox, M. D., Pascual-Leone, A., Voss, H. U., et al. (2016). Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature Medicine, 23, 28.
DVBIC (2018). DoD worldwide TBI numbers. https://health.mil/About-MHS/OASDHA/Defense-Health-Agency/Research-and-Development/Traumatic-Brain-Injury-Center-of-Excellence/DoD-TBI-Worldwide-Numbers.
Eklund, A., Nichols, T. E., & Knutsson, H. (2016). Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Proceedings of the National Academy of Sciences, 113(28), 7900–7905. https://doi.org/10.1073/pnas.1602413113.
Fenster, R. J., Lebois, L. A. M., Ressler, K. J., & Suh, J. (2018). Brain circuit dysfunction in post-traumatic stress disorder: From mouse to man. Nature Reviews Neuroscience, 19(9), 535–551. https://doi.org/10.1038/s41583-018-0039-7.
Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995). Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): Use of a cluster-size threshold. Magnetic Resonance in Medicine, 33(5), 636–647. https://doi.org/10.1002/mrm.1910330508.
Gilmore, C. S., Camchong, J., Davenport, N. D., Nelson, N. W., Kardon, R. H., Lim, K. O., & Sponheim, S. R. (2016). Deficits in visual system functional connectivity after blast-related mild TBI are associated with injury severity and executive dysfunction. Brain and Behavior, 6(5), e00454. https://doi.org/10.1002/brb3.454.
Hayes, J. P., Miller, D. R., Lafleche, G., Salat, D. H., & Verfaellie, M. (2015). The nature of white matter abnormalities in blast-related mild traumatic brain injury. NeuroImage: Clinical, 8, 148–156. https://doi.org/10.1016/j.nicl.2015.04.001.
Hoge, C. W., McGurk, D., Thomas, J. L., Cox, A. L., Engel, C. C., & Castro, C. A. (2008). Mild traumatic brain injury in U.S. soldiers returning from Iraq. New England Journal of Medicine, 358(5), 453–463. https://doi.org/10.1056/NEJMoa072972.
Khazaee, A., Ebrahimzadeh, A., & Babajani-Feremi, A. (2016). Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease. Brain Imaging and Behavior, 10(3), 799–817. https://doi.org/10.1007/s11682-015-9448-7.
Kim, Y.-H., Yoo, W.-K., Ko, M.-H., Park, C., Kim, S. T., & Na, D. L. (2008). Plasticity of the Attentional network after brain injury and cognitive rehabilitation. Neurorehabilitation and Neural Repair, 23(5), 468–477. https://doi.org/10.1177/1545968308328728.
King, P. R., Donnelly, K. T., Donnelly, J. P., Dunnam, M., Warner, G., Kittleson, C. J., Bradshaw, C. B., Alt, M., & Meier, S. T. (2012). Psychometric study of the neurobehavioral symptom inventory. Journal of Rehabilitation Research and Development, 49(6), 879–888.
Koch, S. B. J., van Zuiden, M., Nawijn, L., Frijling, J. L., Veltman, D. J., & Olff, M. (2016). Aberrant resting-state brain activity in PTSD: A meta-analysis and systematic review. Depression and Anxiety, 33(7), 592–605. https://doi.org/10.1002/da.22478.
Lanius, R. A., Bluhm, R., Lanius, U., & Pain, C. (2006). A review of neuroimaging studies in PTSD: Heterogeneity of response to symptom provocation. Journal of Psychiatric Research, 40(8), 709–729. https://doi.org/10.1016/j.jpsychires.2005.07.007.
Levin, H. S., & Diaz-Arrastia, R. R. (2015). Diagnosis, prognosis, and clinical management of mild traumatic brain injury. The Lancet Neurology, 14(5), 506–517. https://doi.org/10.1016/S1474-4422(15)00002-2.
Levin, H. S., Wilde, E., Troyanskaya, M., Petersen, N. J., Scheibel, R., Newsome, M., Radaideh, M., Wu, T., Yallampalli, R., Chu, Z., & Li, X. (2010). Diffusion tensor imaging of mild to moderate blast-related traumatic brain injury and its Sequelae. Journal of Neurotrauma, 27(4), 683–694. https://doi.org/10.1089/neu.2009.1073.
Mac Donald, C. L., Adam, O. R., Johnson, A. M., Nelson, E. C., Werner, N. J., Rivet, D. J., & Brody, D. L. (2015). Acute post-traumatic stress symptoms and age predict outcome in military blast concussion. Brain, 138(5), 1314–1326. https://doi.org/10.1093/brain/awv038.
Mayer, A. R., Mannell, M. V., Ling, J., Gasparovic, C., & Yeo, R. A. (2011). Functional connectivity in mild traumatic brain injury. Human Brain Mapping, 32(11), 1825–1835. https://doi.org/10.1002/hbm.21151.
McAllister, T. W., Flashman, L. A., McDonald, B. C., & Saykin, A. J. (2006). Mechanisms of working memory dysfunction after mild and moderate TBI: Evidence from functional MRI and Neurogenetics. Journal of Neurotrauma, 23(10), 1450–1467. https://doi.org/10.1089/neu.2006.23.1450.
McDonald, B. C., Saykin, A. J., & McAllister, T. W. (2012). Functional MRI of mild traumatic brain injury (mTBI): Progress and perspectives from the first decade of studies. Brain Imaging and Behavior, 6(2), 193–207. https://doi.org/10.1007/s11682-012-9173-4.
Miller, E. K. (2000). The prefontral cortex and cognitive control. Nature Reviews Neuroscience, 1(1), 59–65. https://doi.org/10.1038/35036228.
Miller, D. R., Hayes, S. M., Hayes, J. P., Spielberg, J. M., Lafleche, G., & Verfaellie, M. (2017). Default mode network subsystems are differentially disrupted in posttraumatic stress disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(4), 363–371. https://doi.org/10.1016/j.bpsc.2016.12.006.
Misaki, M., Phillips, R., Zotev, V., Wong, C.-K., Wurfel, B. E., Krueger, F., Feldner, M., & Bodurka, J. (2018). Connectome-wide investigation of altered resting-state functional connectivity in war veterans with and without posttraumatic stress disorder. NeuroImage: Clinical, 17, 285–296. https://doi.org/10.1016/j.nicl.2017.10.032.
Morey, R. A., Haswell, C. C., Selgrade, E. S., Massoglia, D., Liu, C., Weiner, J., Marx, C. E., MIRECC Work Group, Cernak, I., & McCarthy, G. (2013). Effects of chronic mild traumatic brain injury on white matter integrity in Iraq and Afghanistan war veterans. Human Brain Mapping, 34(11), 2986–2999. https://doi.org/10.1002/hbm.22117.
Mueller-Pfeiffer, C., Schick, M., Schulte-Vels, T., O’Gorman, R., Michels, L., Martin-Soelch, C., Blair, J. R., Rufer, M., Schnyder, U., Zeffiro, T., & Hasler, G. (2013). Atypical visual processing in posttraumatic stress disorder. NeuroImage: Clinical, 3, 531–538. https://doi.org/10.1016/j.nicl.2013.08.009.
Nicholson, A. A., Densmore, M., McKinnon, M. C., Neufeld, R. W. J., Frewen, P. A., Théberge, J., Jetly, R., Richardson, J. D., & Lanius, R. A. (2019). Machine learning multivariate pattern analysis predicts classification of posttraumatic stress disorder and its dissociative subtype: A multimodal neuroimaging approach. In Psychological medicine, 49(12), 2049–2059 (Vol. 49, pp. 2049–2059). Cambridge: Core. https://doi.org/10.1017/S0033291718002866.
Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012). Functional imaging studies of emotion regulation: A synthetic review and evolving model of the cognitive control of emotion. Annals of the New York Academy of Sciences, 1251(1), E1–E24. https://doi.org/10.1111/j.1749-6632.2012.06751.x.
Olson, E, A., Kaiser, R, H., Pizzagalli, D, A., Rauch, S, L., & Rosso, I, M. (2018). Regional prefrontal resting-state functional connectivity in posttraumatic stress disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. https://doi.org/10.1016/j.bpsc.2018.09.012.
Palacios, E. M., Yuh, E. L., Chang, Y.-S., Yue, J. K., Schnyer, D. M., Okonkwo, D. O., Valadka, A. B., Gordon, W. A., Maas, A. I. R., Vassar, M., Manley, G. T., & Mukherjee, P. (2017). Resting-state functional connectivity alterations associated with six-month outcomes in mild traumatic brain injury. Journal of Neurotrauma, 34(8), 1546–1557. https://doi.org/10.1089/neu.2016.4752.
Philippi, C. L., Pujara, M. S., Motzkin, J. C., Newman, J., Kiehl, K. A., & Koenigs, M. (2015). Altered resting-state functional connectivity in cortical networks in psychopathy. The Journal of Neuroscience, 35(15), 6068–6078. https://doi.org/10.1523/JNEUROSCI.5010-14.2015.
Polusny, M. A., Kehle, S. M., Nelson, N. W., Erbes, C. R., Arbisi, P. A., & Thuras, P. (2011). Longitudinal effects of mild traumatic brain injury and posttraumatic stress disorder comorbidity on Postdeployment outcomes in National Guard Soldiers Deployed to IraqLongitudinal effects of traumatic brain injury. Archives of General Psychiatry, 68(1), 79–89. https://doi.org/10.1001/archgenpsychiatry.2010.172.
Power, J. D., Schlaggar, B. L., & Petersen, S. E. (2015). Recent progress and outstanding issues in motion correction in resting state fMRI. NeuroImage, 105(supplement C), 536–551. https://doi.org/10.1016/j.neuroimage.2014.10.044.
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. https://doi.org/10.1177/014662167700100306.
Raji, C. A., Willeumier, K., Taylor, D., Tarzwell, R., Newberg, A., Henderson, T. A., & Amen, D. G. (2015). Functional neuroimaging with default mode network regions distinguishes PTSD from TBI in a military veteran population. Brain Imaging and Behavior, 9(3), 527–534. https://doi.org/10.1007/s11682-015-9385-5.
Rauch, S. L., van der Kolk, B. A., Fisler, R. E., Alpert, N. M., Orr, S. P., Savage, C. R., Fischman, A. J., Jenike, M. A., & Pitman, R. K. (1996). A symptom provocation study of posttraumatic stress disorder using positron emission tomography and script-driven imagery. JAMA Psychiatry, 53(5), 380–387. https://doi.org/10.1001/archpsyc.1996.01830050014003.
Reid, M. W., & Velez, C. S. (2015). Discriminating military and civilian traumatic brain injuries. Traumatic Brain Injury, 66, 123–128. https://doi.org/10.1016/j.mcn.2015.03.014.
Rosenbaum, S. B., & Lipton, M. L. (2012). Embracing chaos: The scope and importance of clinical and pathological heterogeneity in mTBI. Brain Imaging and Behavior, 6(2), 255–282. https://doi.org/10.1007/s11682-012-9162-7.
Rowland, J. A., Stapleton-Kotloski, J. R., Alberto, G. E., Rawley, J. A., Kotloski, R. J., Taber, K. H., & Godwin, D. W. (2016). Contrasting effects of posttraumatic stress disorder and mild traumatic brain injury on the whole-brain resting-state network: A Magnetoencephalography study. Brain Connectivity, 7(1), 45–57. https://doi.org/10.1089/brain.2015.0406.
Saccà, V., Sarica, A., Novellino, F., Barone, S., Tallarico, T., Filippelli, E., Granata, A., Chiriaco, C., Bruno Bossio, R., Valentino, P., & Quattrone, A. (2019). Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data. Brain Imaging and Behavior, 13(4), 1103–1114. https://doi.org/10.1007/s11682-018-9926-9.
Santhanam, P., Wilson, S. H., Oakes, T. R., & Weaver, L. K. (2019). Effects of mild traumatic brain injury and post-traumatic stress disorder on resting-state default mode network connectivity. Brain Research, 1711, 77–82. https://doi.org/10.1016/j.brainres.2019.01.015.
Schneiderman, A. I., Braver, E. R., & Kang, H. K. (2008). Understanding Sequelae of injury mechanisms and mild traumatic brain injury incurred during the conflicts in Iraq and Afghanistan: Persistent Postconcussive symptoms and posttraumatic stress disorder. American Journal of Epidemiology, 167(12), 1446–1452. https://doi.org/10.1093/aje/kwn068.
Schuff, N., Zhang, Y., Zhan, W., Lenoci, M., Ching, C., Boreta, L., Mueller, S. G., Wang, Z., Marmar, C. R., Weiner, M. W., & Neylan, T. C. (2011). Patterns of altered cortical perfusion and diminished subcortical integrity in posttraumatic stress disorder: An MRI study. International Brain Mapping & Intraoperative Surgical Planning Society (IBMISPS)2009 Supplement, 54, S62–S68. https://doi.org/10.1016/j.neuroimage.2010.05.024.
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. The Journal of Neuroscience, 27(9), 2349–2356. https://doi.org/10.1523/JNEUROSCI.5587-06.2007.
Shandera-Ochsner, A. L., Berry, D. T. R., Harp, J. P., Edmundson, M., Graue, L. O., Roach, A., & High, W. M. (2013). Neuropsychological effects of self-reported deployment-related mild TBI and current PTSD in OIF/OEF veterans. The Clinical Neuropsychologist, 27(6), 881–907. https://doi.org/10.1080/13854046.2013.802017.
Shang, J., Lui, S., Meng, Y., Zhu, H., Qiu, C., Gong, Q., Liao, W., & Zhang, W. (2014). Alterations in low-level perceptual networks related to clinical severity in PTSD after an earthquake: A resting-state fMRI study. PLoS One, 9(5), e96834. https://doi.org/10.1371/journal.pone.0096834.
Slobounov, S. M., Gay, M., Zhang, K., Johnson, B., Pennell, D., Sebastianelli, W., Horovitz, S., & Hallett, M. (2011). Alteration of brain functional network at rest and in response to YMCA physical stress test in concussed athletes: RsFMRI study. NeuroImage, 55(4), 1716–1727. https://doi.org/10.1016/j.neuroimage.2011.01.024.
Snell, F. I., & Halter, M. J. (2010). A signature wound of war. Journal of Psychosocial Nursing and Mental Health Services, 48, 1–7. https://doi.org/10.3928/02793695-20100108-02.
Sours, C., Zhuo, J., Janowich, J., Aarabi, B., Shanmuganathan, K., & Gullapalli, R. P. (2013). Default mode network interference in mild traumatic brain injury – A pilot resting state study. Brain Research, 1537, 201–215. https://doi.org/10.1016/j.brainres.2013.08.034.
Sripada, R. K., King, A. P., Welsh, R. C., Garfinkel, S. N., Wang, X., Sripada, C. S., & Liberzon, I. (2012). Neural Dysregulation in posttraumatic stress disorder: Evidence for disrupted equilibrium between salience and default mode brain networks. Psychosomatic Medicine, 74(9), 904–911. PMC. https://doi.org/10.1097/PSY.0b013e318273bf33.
Stevens, M. C., Lovejoy, D., Kim, J., Oakes, H., Kureshi, I., & Witt, S. T. (2012). Multiple resting state network functional connectivity abnormalities in mild traumatic brain injury. Brain Imaging and Behavior, 6(2), 293–318. https://doi.org/10.1007/s11682-012-9157-4.
Vakhtin, A. A., Calhoun, V. D., Jung, R. E., Prestopnik, J. L., Taylor, P. A., & Ford, C. C. (2013). Changes in intrinsic functional brain networks following blast-induced mild traumatic brain injury. Brain Injury, 27(11), 1304–1310. https://doi.org/10.3109/02699052.2013.823561.
Vasterling, J. J., Brailey, K., Proctor, S. P., Kane, R., Heeren, T., & Franz, M. (2012). Neuropsychological outcomes of mild traumatic brain injury, post-traumatic stress disorder and depression in Iraq-deployed US Army soldiers. In British Journal of psychiatry, 201(3), 186–192 (Vol. 201, pp. 186–192). Cambridge: Core. https://doi.org/10.1192/bjp.bp.111.096461.
Verfaellie, M., Lafleche, G., Spiro, A., & Bousquet, K. (2014). Neuropsychological outcomes in OEF/OIF veterans with self-report of blast exposure: Associations with mental health, but not MTBI. Neuropsychology, 28(3), 337–346. https://doi.org/10.1037/neu0000027.
Vergara, V. M., Mayer, A. R., Damaraju, E., Kiehl, K. A., & Calhoun, V. (2016). Detection of mild traumatic brain injury by machine learning classification using resting state functional network connectivity and fractional anisotropy. Journal of Neurotrauma, 34(5), 1045–1053. https://doi.org/10.1089/neu.2016.4526.
Wang, T., Liu, J., Zhang, J., Zhan, W., Li, L., Wu, M., Huang, H., Zhu, H., Kemp, G. J., & Gong, Q. (2016). Altered resting-state functional activity in posttraumatic stress disorder: A quantitative meta-analysis. Scientific Reports, 6, 27131.
Yurgil, K., Barkauskas, D., Vasterling, J., et al. (2014). Association between traumatic brain injury and risk of posttraumatic stress disorder in active-duty marines. JAMA Psychiatry, 71(2), 149–157. https://doi.org/10.1001/jamapsychiatry.2013.3080.
Zhang, J., Tan, Q., Yin, H., Zhang, X., Huan, Y., Tang, L., Wang, H., Xu, J., & Li, L. (2011). Decreased gray matter volume in the left hippocampus and bilateral calcarine cortex in coal mine flood disaster survivors with recent onset PTSD. Psychiatry Research: Neuroimaging, 192(2), 84–90. https://doi.org/10.1016/j.pscychresns.2010.09.001.
Zhou, Y., Milham, M. P., Lui, Y. W., Miles, L., Reaume, J., Sodickson, D. K., Grossman, R. I., & Ge, Y. (2012). Default-mode network disruption in mild traumatic brain injury. Radiology, 265(3), 882–892. https://doi.org/10.1148/radiol.12120748.
Zhu, H., Zhang, J., Zhan, W., Qiu, C., Wu, R., Meng, Y., Cui, H., Huang, X., Li, T., Gong, Q., & Zhang, W. (2014). Altered spontaneous neuronal activity of visual cortex and medial anterior cingulate cortex in treatment-naïve posttraumatic stress disorder. Comprehensive Psychiatry, 55(7), 1688–1695. https://doi.org/10.1016/j.comppsych.2014.06.009.
Acknowledgments
We thank the Service Members for their generous time and effort in making this research possible. We also recognize the clinical effort and expertise of the Brooke Army Medical Center Brain Injury and Rehabilitation Service staff in the recruitment, consenting, and treatment of Service Members involved in this study. The view(s) expressed herein are those of the authors and do not reflect the official policy or position of the Defense and Veterans Brain Injury Center, Brooke Army Medical Center, the US Army Medical Department, the US Army Office of the Surgeon General, the Department of the Army, the Department of the Air Force, Department of Defense, or the US Government.
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This work was supported in part by the Defense and Veterans Brain Injury Centers, the U.S. Army Medical Research and Materiel Command (USAMRMC; W81XWH-13-2-0025) and the Chronic Effects of Neurotrauma Consortium (CENC; PT108802-SC104835).
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Author contributions included: Conceptualization, C.L.P., D.F.T.; Methodology, C.L.P., D.F.T., C.S.V., B.S.C.W.; Investigation, C.S.V., A.M.D., A.O.B., D.B.C., J.E.K., J.D.L., M.W.R., G.E.Y., E.A.W., D.F.T.; Formal Analysis, C.L.P., C.S.V, D.F.T.; Writing – Original Draft, C.L.P, D.F.T.; Writing – Review & Editing, C.L.P, C.S.V., B.S.C.W., A.M.D., D.B.C., J.E.C., J.E.K., A.O.B., J.D.L., M.W.R., G.E.Y., M.R.N., E.A.W., D.F.T.; Visualization, C.L.P. All authors take responsibility for the integrity of the data and the accuracy of the data analysis.
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Philippi, C.L., Velez, C.S., Wade, B.S. et al. Distinct patterns of resting-state connectivity in U.S. service members with mild traumatic brain injury versus posttraumatic stress disorder. Brain Imaging and Behavior 15, 2616–2626 (2021). https://doi.org/10.1007/s11682-021-00464-1
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DOI: https://doi.org/10.1007/s11682-021-00464-1