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Aberrant intrinsic connectivity in women victims of sexual assault

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Abstract

This study aims to determine if resting-state functional connectivity may represent a marker for the progression of posttraumatic stress disorder (PTSD) in women victims of sexual assault. Participants were 25 adult women recruited three weeks following exposure to sexual assault (T1) and 19 age-matched healthy, non trauma-exposed controls (HC). Among the victims, 10 participants met (PTSD) and 15 did not meet (trauma-exposed controls, TEC) DSM-IV criteria for PTSD six months post-trauma (T2). At both visits, patterns of intrinsic connectivity, a measure of network centrality at each voxel of the brain, were derived from resting-state functional magnetic resonance imaging. Compared to both the HC and TEC groups, victims who developed PTSD at T2 showed higher centrality in the right middle/superior occipital gyrus at T1, while reduced centrality of the posterior cingulate cortex (PCC)/precuneus at T1 was found for the TEC group, compared to the HC group only. There were no differences in intrinsic connectivity at T1 between the TEC and PTSD groups. There were no significant between-group differences in intrinsic connectivity at T2, and no significant group-by-time interaction. This study indicates that increased occipital centrality three weeks post-trauma exposure may represent a marker of the later development of PTSD. On the other hand, reduced centrality of the PCC/precuneus may represent a marker of resilience to trauma exposure.

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References

  • Abu-Akel, A., & Shamay-Tsoory, S. (2011). Neuroanatomical and neurochemical bases of theory of mind. Neuropsychologia, 49(11), 2971–2984. https://doi.org/10.1016/j.neuropsychologia.2011.07.012.

    Article  PubMed  Google Scholar 

  • Barth, S. K., Kimerling, R. E., Pavao, J., McCutcheon, S. J., Batten, S. V., Dursa, E., Peterson, M. R., & Schneiderman, A. I. (2016). Military sexual trauma among recent veterans: correlates of sexual assault and sexual harassment. American Journal of Preventive Medicine, 50(1), 77–86. https://doi.org/10.1016/j.amepre.2015.06.012.

    Article  PubMed  Google Scholar 

  • Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 561–571.

    Article  CAS  Google Scholar 

  • Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage, 37(1), 90–101. https://doi.org/10.1016/j.neuroimage.2007.04.042.

    Article  PubMed  Google Scholar 

  • Bernstein, E. M., & Putnam, F. W. (1986). Development, reliability, and validity of a dissociation scale. The Journal of Nervous and Mental Disease, 174(12), 727–735.

    Article  CAS  Google Scholar 

  • Bicanic, I., Snetselaar, H., De Jongh, A., & Van de Putte, E. (2014). Victims’ use of professional services in a Dutch sexual assault centre. European Journal of Psychotraumatology 5. https://doi.org/10.3402/ejpt.v5.23645.

  • Birmes, P., Brunet, A., Benoit, M., Defer, S., Hatton, L., Sztulman, H., & Schmitt, L. (2005). Validation of the Peritraumatic Dissociative Experiences Questionnaire self-report version in two samples of French-speaking individuals exposed to trauma. European Psychiatry, 20(2), 145–151. https://doi.org/10.1016/j.eurpsy.2004.06.033.

    Article  PubMed  Google Scholar 

  • Blake, D. D., Weathers, F. W., Nagy, L. M., Kaloupek, D. G., Gusman, F. D., Charney, D. S., & Keane, T. M. (1995). The development of a Clinician-Administered PTSD Scale. Journal of Traumatic Stress, 8(1), 75–90.

    Article  CAS  Google Scholar 

  • Bluhm, R. L., Williamson, P. C., Osuch, E. A., Frewen, P. A., Stevens, T. K., Boksman, K., Neufeld, R. W., Theberge, J., & Lanius, R. A. (2009). Alterations in default network connectivity in posttraumatic stress disorder related to early-life trauma. Journal of Psychiatry & Neuroscience, 34(3), 187–194.

    Google Scholar 

  • Bremner, J. D., Narayan, M., Staib, L. H., Southwick, S. M., McGlashan, T., & Charney, D. S. (1999). Neural correlates of memories of childhood sexual abuse in women with and without posttraumatic stress disorder. The American Journal of Psychiatry, 156(11), 1787–1795. https://doi.org/10.1176/ajp.156.11.1787.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bressler, S. L., & Menon, V. (2010). Large-scale brain networks in cognition: emerging methods and principles. Trends in Cognitive Sciences, 14(6), 277–290. https://doi.org/10.1016/j.tics.2010.04.004.

    Article  PubMed  Google Scholar 

  • Bromis, K., Calem, M., Reinders, A., Williams, S. C. R., & Kempton, M. J. (2018) Meta-analysis of 89 structural MRI studies in posttraumatic stress disorder and comparison with major depressive disorder. The American Journal of Psychiatry. https://doi.org/10.1176/appi.ajp.2018.17111199.

  • Brown, V. M., LaBar, K. S., Haswell, C. C., Gold, A. L., Mid-Atlantic, M. W., McCarthy, G., & Morey, R. A. (2014). Altered resting-state functional connectivity of basolateral and centromedial amygdala complexes in posttraumatic stress disorder. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 39(2), 351–359. https://doi.org/10.1038/npp.2013.197.

    Article  Google Scholar 

  • Bruchon-Schweitzer, M., & Paulhan, I. (1993). Inventaire d’anxiété état-trait (forme Y) [Manual for the State-Trait Anxiety Inventory (STAI)]. Paris: Consulting Psychologist Press, Edition Française: Editions de Centre de Psychologie Appliquée.

  • Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s default network: anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38. https://doi.org/10.1196/annals.1440.011.

    Article  PubMed  Google Scholar 

  • Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009). Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease. The Journal of Neuroscience, 29(6), 1860–1873. https://doi.org/10.1523/JNEUROSCI.5062-08.2009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001). A method for making group inferences from functional MRI data using independent component analysis. Human Brain Mapping, 14(3), 140–151.

    Article  CAS  Google Scholar 

  • Calhoun, V. D., Liu, J., & Adali, T. (2009). A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. Neuroimage, 45(1 Suppl), S163–S172. https://doi.org/10.1016/j.neuroimage.2008.10.057.

    Article  PubMed  Google Scholar 

  • Carmassi, C., Dell’Osso, L., Manni, C., Candini, V., Dagani, J., Iozzino, L., Koenen, K. C., & de Girolamo, G. (2014). Frequency of trauma exposure and post-traumatic stress disorder in Italy: analysis from the World Mental Health Survey Initiative. Journal of Psychiatric Research, 59, 77–84. https://doi.org/10.1016/j.jpsychires.2014.09.006.

    Article  PubMed  PubMed Central  Google Scholar 

  • Chen, A. C., & Etkin, A. (2013). Hippocampal network connectivity and activation differentiates post-traumatic stress disorder from generalized anxiety disorder. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 38(10), 1889–1898. https://doi.org/10.1038/npp.2013.122.

    Article  Google Scholar 

  • Collet, L., & Cottraux, J. (1986). [The shortened Beck depression inventory (13 items). Study of the concurrent validity with the Hamilton scale and Widlocher’s retardation scale]. Encephale, 12(2), 77–79.

    CAS  PubMed  Google Scholar 

  • Darves-Bornoz, J. M., Degiovanni, A., & Gaillard, P. (1999). Validation of a French version of the Dissociative Experiences Scale in a rape-victim population. Canadian Journal of Psychiatry, 44(3), 271–275. https://doi.org/10.1177/070674379904400308.

    Article  CAS  PubMed  Google Scholar 

  • Fornito, A., Zalesky, A., & Breakspear, M. (2013). Graph analysis of the human connectome: promise, progress, and pitfalls. Neuroimage, 80, 426–444. https://doi.org/10.1016/j.neuroimage.2013.04.087.

    Article  PubMed  Google Scholar 

  • Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102(27), 9673–9678. https://doi.org/10.1073/pnas.0504136102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Friston, K. J. (1994). Functional and effective connectivity in neuroimaging: A synthesis. Human Brain Mapping, 2(1-2), 56–78. https://doi.org/10.1002/hbm.460020107.

    Article  Google Scholar 

  • Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003). Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences of the United States of America, 100(1), 253–258. https://doi.org/10.1073/pnas.0135058100.

    Article  CAS  PubMed  Google Scholar 

  • Guillaume, B., Hua, X., Thompson, P. M., Waldorp, L., Nichols, T. E., & Alzheimer’s Disease Neuroimaging, I. (2014). Fast and accurate modelling of longitudinal and repeated measures neuroimaging data. Neuroimage, 94, 287–302. https://doi.org/10.1016/j.neuroimage.2014.03.029.

    Article  PubMed  Google Scholar 

  • Hayes, J. P., Hayes, S. M., & Mikedis, A. M. (2012). Quantitative meta-analysis of neural activity in posttraumatic stress disorder. Biology of Mood & Anxiety Disorders, 2, 9. https://doi.org/10.1186/2045-5380-2-9.

    Article  Google Scholar 

  • Jin, C., Qi, R., Yin, Y., Hu, X., Duan, L., Xu, Q., Zhang, Z., Zhong, Y., Feng, B., Xiang, H., Gong, Q., Liu, Y., Lu, G., & Li, L. (2014). Abnormalities in whole-brain functional connectivity observed in treatment-naive post-traumatic stress disorder patients following an earthquake. Psychological Medicine, 44(9), 1927–1936. https://doi.org/10.1017/S003329171300250X.

    Article  CAS  PubMed  Google Scholar 

  • Ke, J., Zhang, L., Qi, R., Xu, Q., Zhong, Y., Liu, T., Li, J., Lu, G., & Chen, F. (2018). Typhoon-related post-traumatic stress disorder and trauma might lead to functional integration abnormalities in intra- and inter-resting state networks: a resting-state Fmri independent component analysis. Cellular Physiology and Biochemistry, 48(1), 99–110. https://doi.org/10.1159/000491666.

    Article  CAS  PubMed  Google Scholar 

  • Kennis, M., Rademaker, A. R., van Rooij, S. J., Kahn, R. S., & Geuze, E. (2015). Resting state functional connectivity of the anterior cingulate cortex in veterans with and without post-traumatic stress disorder. Human Brain Mapping, 36(1), 99–109. https://doi.org/10.1002/hbm.22615.

    Article  PubMed  Google Scholar 

  • Kennis, M., van Rooij, S. J., van den Heuvel, M. P., Kahn, R. S., & Geuze, E. (2016). Functional network topology associated with posttraumatic stress disorder in veterans. NeuroImage: Clinical , 10, 302–309. https://doi.org/10.1016/j.nicl.2015.12.008.

    Article  CAS  Google Scholar 

  • Koch, S. B., van Zuiden, M., Nawijn, L., Frijling, J. L., Veltman, D. J., & Olff, M. (2016). Aberrant resting-state brain activity in posttraumatic stress disorder: a meta-analysis and systematic review. Depression and Anxiety, 33(7), 592–605. https://doi.org/10.1002/da.22478.

    Article  PubMed  Google Scholar 

  • Landré, L., Destrieux, C., Andersson, F., Barantin, L., Quidé, Y., Tapia, G., Jaafari, N., Clarys, D., Gaillard, P., Isingrini, M., & El-Hage, W. (2012). Working memory processing of traumatic material in women with posttraumatic stress disorder. Journal of Psychiatry & Neuroscience, 37(2), 87–94. https://doi.org/10.1503/jpn.100167.

    Article  Google Scholar 

  • Lanius, R. A., Frewen, P. A., Tursich, M., Jetly, R., & McKinnon, M. C. (2015). Restoring large-scale brain networks in PTSD and related disorders: a proposal for neuroscientifically-informed treatment interventions. European Journal of Psychotraumatology, 6, 27313. https://doi.org/10.3402/ejpt.v6.27313.

    Article  PubMed  Google Scholar 

  • Lazarov, A., Zhu, X., Suarez-Jimenez, B., Rutherford, B. R., & Neria, Y. (2017). Resting-state functional connectivity of anterior and posterior hippocampus in posttraumatic stress disorder. Journal of Psychiatric Research, 94, 15–22. https://doi.org/10.1016/j.jpsychires.2017.06.003.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lei, D., Li, K., Li, L., Chen, F., Huang, X., Lui, S., Li, J., Bi, F., & Gong, Q. (2015). Disrupted functional brain connectome in patients with posttraumatic stress disorder. Radiology, 276(3), 818–827. https://doi.org/10.1148/radiol.15141700.

    Article  PubMed  Google Scholar 

  • Liu, H., Petukhova, M. V., Sampson, N. A., Aguilar-Gaxiola, S., Alonso, J., Andrade, L. H., Bromet, E. J., de Girolamo, G., Haro, J. M., Hinkov, H., Kawakami, N., Koenen, K. C., Kovess-Masfety, V., Lee, S., Medina-Mora, M. E., Navarro-Mateu, F., O’Neill, S., Piazza, M., Posada-Villa, J., Scott, K. M., Shahly, V., Stein, D. J., Ten Have, M., Torres, Y., Gureje, O., Zaslavsky, A. M., & Kessler, R. C. World Health Organization World Mental Health Survey C (2017). Association of DSM-IV posttraumatic stress disorder with traumatic experience type and history in the world health organization world mental health surveys. JAMA Psychiatry, 74(3), 270–281. https://doi.org/10.1001/jamapsychiatry.2016.3783.

  • Logue, M. W., van Rooij, S. J. H., Dennis, E. L., Davis, S. L., Hayes, J. P., Stevens, J. S., Densmore, M., Haswell, C. C., Ipser, J., Koch, S. B., Korgaonkar, M., Lebois, L. A. M., Peverill, M., Baker, J. T., Boedhoe, P. S. W., Frijling, J. L., Gruber, S. A., Harpaz-Rotem, I., Jahanshad, N., Koopowitz, S., Levy, I., Nawijn, L., O’Connor, L., Olff, M., Salat, D. H., Sheridan, M. A., Spielberg, J. M., van Zuiden, M., Winternitz, S. R., Wolff, J. D., Wolf, E. J., Wang, X., Wrocklage, K., Abdallah, C. G., Bryant, R. A., Geuze, E., Jovanovic, T., Kaufman, M. L., King, A. P., Krystal, J. H., Lagopoulos, J., Lanius, R., Liberzon, I., McGlinchey, R. E., McLaughlin, K. A., Milberg, W. P., Miller, M. W., Ressler, K. J., Veltman, D. J., Stein, D. J., Thomaes, K., Thompson, P. M., & Morey, R. A. (2017). Smaller hippocampal volume in posttraumatic stress disorder: a multi-site ENIGMA-PGC study. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2017.09.006.

    Article  PubMed  PubMed Central  Google Scholar 

  • Malivoire, B. L., Girard, T. A., Patel, R., & Monson, C. M. (2018). Functional connectivity of hippocampal subregions in PTSD: relations with symptoms. BMC Psychiatry, 18(1), 129. https://doi.org/10.1186/s12888-018-1716-9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Marmar, C. R., Weiss, D. S., & Metzler, T. J. (1997). The peritraumatic dissociative experiences questionnaire. In J. P. Wilson (Ed.), Assessing psychological trauma and posttraumatic stress disorder (pp. 412–428). Washington, DC: The Guildford Press.

    Google Scholar 

  • Martuzzi, R., Ramani, R., Qiu, M., Shen, X., Papademetris, X., & Constable, R. T. (2011). A whole-brain voxel based measure of intrinsic connectivity contrast reveals local changes in tissue connectivity with anesthetic without a priori assumptions on thresholds or regions of interest. Neuroimage, 58(4), 1044–1050. https://doi.org/10.1016/j.neuroimage.2011.06.075.

    Article  PubMed  Google Scholar 

  • Menon, V. (2011). Large-scale brain networks and psychopathology: a unifying triple network model. Trends in Cognitive Sciences, 15(10), 483–506. https://doi.org/10.1016/j.tics.2011.08.003.

    Article  PubMed  Google Scholar 

  • Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009). The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage, 44(3), 893–905. https://doi.org/10.1016/j.neuroimage.2008.09.036.

    Article  PubMed  Google Scholar 

  • Naim, R., Abend, R., Wald, I., Eldar, S., Levi, O., Fruchter, E., Ginat, K., Halpern, P., Sipos, M. L., Adler, A. B., Bliese, P. D., Quartana, P. J., Pine, D. S., & Bar-Haim, Y. (2015). Threat-related attention bias variability and posttraumatic stress. The American Journal of Psychiatry, 172(12), 1242–1250. https://doi.org/10.1176/appi.ajp.2015.14121579.

    Article  PubMed  PubMed Central  Google Scholar 

  • Nichols, T. E., & Holmes, A. P. (2002). Nonparametric permutation tests for functional neuroimaging: a primer with examples. Human Brain Mapping, 15(1), 1–25.

    Article  Google Scholar 

  • O’Doherty, D. C., Chitty, K. M., Saddiqui, S., Bennett, M. R., & Lagopoulos, J. (2015). A systematic review and meta-analysis of magnetic resonance imaging measurement of structural volumes in posttraumatic stress disorder. Psychiatry Research, 232(1), 1–33. https://doi.org/10.1016/j.pscychresns.2015.01.002.

    Article  PubMed  Google Scholar 

  • Patel, R., Spreng, R. N., Shin, L. M., & Girard, T. A. (2012). Neurocircuitry models of posttraumatic stress disorder and beyond: a meta-analysis of functional neuroimaging studies. Neuroscience and Biobehavioral Reviews, 36(9), 2130–2142. https://doi.org/10.1016/j.neubiorev.2012.06.003.

    Article  PubMed  Google Scholar 

  • Qin, L. D., Wang, Z., Sun, Y. W., Wan, J. Q., Su, S. S., Zhou, Y., & Xu, J. R. (2012). A preliminary study of alterations in default network connectivity in post-traumatic stress disorder patients following recent trauma. Brain Research, 1484, 50–56. https://doi.org/10.1016/j.brainres.2012.09.029.

    Article  CAS  PubMed  Google Scholar 

  • Quidé, Y., Andersson, F., Dufour-Rainfray, D., Descriaud, C., Brizard, B., Gissot, V., Clery, H., Carrey Le Bas M. P., Osterreicher, S., Ogielska, M., Saint-Martin, P., & El-Hage, W. (2018). Smaller hippocampal volume following sexual assault in women is associated with post-traumatic stress disorder. Acta Psychiatrica Scandinavica, 138(4), 312–324. https://doi.org/10.1111/acps.12920.

  • Quidé, Y., Cléry, H., Andersson, F., Descriaud, C., Saint-Martin, P., Barantin, L., Gissot, V., Carrey Le Bas M. P., Osterreicher, S., Dufour-Rainfray, D., Brizard, B., Ogielska, M., & El-Hage, W. (2018). Neurocognitive, emotional and neuroendocrine correlates of exposure to sexual assault in women. Journal of Psychiatry & Neuroscience, 43(3), 170116. https://doi.org/10.1503/jpn.170116.

  • Quidé, Y., Witteveen, A. B., El-Hage, W., Veltman, D. J., & Olff, M. (2012). Differences between effects of psychological versus pharmacological treatments on functional and morphological brain alterations in anxiety disorders and major depressive disorder: a systematic review. Neuroscience and Biobehavioral Reviews, 36(1), 626–644. https://doi.org/10.1016/j.neubiorev.2011.09.004.

    Article  CAS  PubMed  Google Scholar 

  • Rabinak, C. A., Angstadt, M., Welsh, R. C., Kenndy, A. E., Lyubkin, M., Martis, B., & Phan, K. L. (2011). Altered amygdala resting-state functional connectivity in post-traumatic stress disorder. Frontiers in Psychiatry, 2, 62. https://doi.org/10.3389/fpsyt.2011.00062.

    Article  PubMed  PubMed Central  Google Scholar 

  • Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98(2), 676–682. https://doi.org/10.1073/pnas.98.2.676.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rauch, S. L., Shin, L. M., & Phelps, E. A. (2006). Neurocircuitry models of posttraumatic stress disorder and extinction: human neuroimaging research–past, present, and future. Biological Psychiatry, 60(4), 376–382. https://doi.org/10.1016/j.biopsych.2006.06.004.

    Article  PubMed  Google Scholar 

  • Reuveni, I., Bonne, O., Giesser, R., Shragai, T., Lazarovits, G., Isserles, M., Schreiber, S., Bick, A. S., & Levin, N. (2016). Anatomical and functional connectivity in the default mode network of post-traumatic stress disorder patients after civilian and military-related trauma. Human Brain Mapping, 37(2), 589–599. https://doi.org/10.1002/hbm.23051.

    Article  PubMed  Google Scholar 

  • Roberts, N. P., Kitchiner, N. J., Kenardy, J., Lewis, C. E., & Bisson, J. I. (2019). Early psychological intervention following recent trauma: A systematic review and meta-analysis. European Journal of Psychotraumatology, 10(1), 1695486. https://doi.org/10.1080/20008198.2019.1695486.

    Article  PubMed  PubMed Central  Google Scholar 

  • Scott, J. C., Matt, G. E., Wrocklage, K. M., Crnich, C., Jordan, J., Southwick, S. M., Krystal, J. H., & Schweinsburg, B. C. (2015). A quantitative meta-analysis of neurocognitive functioning in posttraumatic stress disorder. Psychological Bulletin, 141(1), 105–140. https://doi.org/10.1037/a0038039.

    Article  PubMed  Google Scholar 

  • 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. Journal of Neuroscience, 27(9), 2349–2356. https://doi.org/10.1523/JNEUROSCI.5587-06.2007.

    Article  CAS  PubMed  Google Scholar 

  • 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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janvas, J., Weiller, E., Hergueta, T., Baker, R., & Dunbar, G. C. (1998). The mini-international neuropsychiatric interview (MINI): the development and validation of a structured diagnostic interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59(Suppl 20), 22–33.

    Google Scholar 

  • Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the state-trait anxiety inventory. Palo Alto: Consulting Psychologists Press.

    Google Scholar 

  • Spreng, R. N., & Grady, C. L. (2010). Patterns of brain activity supporting autobiographical memory, prospection, and theory of mind, and their relationship to the default mode network. Journal of Cognitive Neuroscience, 22(6), 1112–1123. https://doi.org/10.1162/jocn.2009.21282.

    Article  PubMed  Google Scholar 

  • Spreng, R. N., Mar, R. A., & Kim, A. S. (2009). The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: a quantitative meta-analysis. Journal of Cognitive Neuroscience, 21(3), 489–510. https://doi.org/10.1162/jocn.2008.21029.

    Article  PubMed  Google Scholar 

  • Sripada, R. K., King, A. P., Garfinkel, S. N., Wang, X., Sripada, C. S., Welsh, R. C., & Liberzon, I. (2012). Altered resting-state amygdala functional connectivity in men with posttraumatic stress disorder. Journal of Psychiatry & Neuroscience, 37(4), 241–249. https://doi.org/10.1503/jpn.110069.

    Article  Google Scholar 

  • 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. https://doi.org/10.1097/PSY.0b013e318273bf33.

    Article  PubMed  PubMed Central  Google Scholar 

  • Sun, D., Haswell, C. C., Morey, R. A., & De Bellis, M. D. (2018) Brain structural covariance network centrality in maltreated youth with PTSD and in maltreated youth resilient to PTSD. Development and Psychopathology :1–15. https://doi.org/10.1017/S0954579418000093.

  • Uddin, L. Q. (2015). Salience processing and insular cortical function and dysfunction. Nature Reviews Neuroscience, 16(1), 55–61. https://doi.org/10.1038/nrn3857.

    Article  CAS  PubMed  Google Scholar 

  • Vossel, S., Geng, J. J., & Fink, G. R. (2014). Dorsal and ventral attention systems: distinct neural circuits but collaborative roles. The Neuroscientist: a Review Journal Bringing Neurobiology, Neurology and Psychiatry, 20(2), 150–159. https://doi.org/10.1177/1073858413494269.

    Article  Google Scholar 

  • 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. https://doi.org/10.1038/srep27131.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012). Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connectivity, 2(3), 125–141. https://doi.org/10.1089/brain.2012.0073.

    Article  PubMed  Google Scholar 

  • Zhang, Y., Liu, F., Chen, H., Li, M., Duan, X., Xie, B., & Chen, H. (2015). Intranetwork and internetwork functional connectivity alterations in post-traumatic stress disorder. Journal of Affective Disorders, 187, 114–121. https://doi.org/10.1016/j.jad.2015.08.043.

    Article  PubMed  Google Scholar 

  • Zhang, Y., Xie, B., Chen, H., Li, M., Guo, X., & Chen, H. (2016). Disrupted resting-state insular subregions functional connectivity in post-traumatic stress disorder. Medicine, 95(27), e4083. https://doi.org/10.1097/MD.0000000000004083.

    Article  PubMed  PubMed Central  Google Scholar 

  • Zhou, Y., Wang, Z., Qin, L. D., Wan, J. Q., Sun, Y. W., Su, S. S., Ding, W. N., & Xu, J. R. (2012). Early altered resting-state functional connectivity predicts the severity of post-traumatic stress disorder symptoms in acutely traumatized subjects. PLoS One, 7(10), e46833. https://doi.org/10.1371/journal.pone.0046833.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We are grateful to the invaluable contributions of the participants.

Funding

This project was funded by a Hospital Clinical Research Program (Promoteur CHRU de Tours). We acknowledge the ‘Fondation Pierre Deniker’ and the ‘SFR FED4226 Neuroimagerie Fonctionnelle’ for their financial support. This study was also supported by a postgraduate scholarship from the French Ministry of Higher Education, Research and Innovation awarded to YQ. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Authors and Affiliations

  1. School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW, Australia

    Yann Quidé

  2. Neuroscience Research Australia, Randwick, NSW, Australia

    Yann Quidé

  3. UMR 1253 iBrain, Université de Tours, INSERM, Tours, France

    Aïcha Zine, Frédéric Andersson & Wissam El-Hage

  4. Centre d’Accueil des Victimes d’Agressions Sexuelles, Centre Hospitalier Régional d’Orléans, Orléans, France

    Céline Descriaud

  5. Service de Médecine Légale, CHRU de Tours, Tours, France

    Pauline Saint-Martin

  6. Centre de Psychotraumatologie CVL, CHRU de Tours, Tours, France

    Wissam El-Hage

  7. CIC 1415, INSERM, Centre d’Investigation Clinique, CHRU de Tours, Tours, France

    Wissam El-Hage

Authors
  1. Yann Quidé
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  2. Aïcha Zine
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  3. Céline Descriaud
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  4. Pauline Saint-Martin
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  5. Frédéric Andersson
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  6. Wissam El-Hage
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Contributions

Author contributions included conception and study design (YQ, FA and WEH), data collection or acquisition (CD, PSM, FA and WEH), statistical analysis (YQ, AZ, FA and WEH), interpretation of results (YQ, AZ, FA and WEH), drafting the manuscript work or revising it critically for important intellectual content (All authors) and approval of final version to be published and agreement to be accountable for the integrity and accuracy of all aspects of the work (All authors).

Corresponding author

Correspondence to Yann Quidé.

Ethics declarations

This study was approved by an independent research ethics committee (CCP Tours Ouest-1, France; 2010-R36), and supervised by a clinical investigation monitoring committee (INSERM CIC 1415). All patients consented to participate after being informed of the study’s purpose. All procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. Participants received a monetary compensation for completing the entire study. This study was registered on the ClinicalTrials.gov website (NCT01405495).

Conflict of interest

WEH has received speaker honoraria from CHUGAI, EISAI, Janssen, Lundbeck, Otsuka, and UCB, unrelated to the content of this manuscript. The other authors declare they have no conflicts of interest.

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Quidé, Y., Zine, A., Descriaud, C. et al. Aberrant intrinsic connectivity in women victims of sexual assault. Brain Imaging and Behavior 15, 2356–2366 (2021). https://doi.org/10.1007/s11682-020-00431-2

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  • DOI: https://doi.org/10.1007/s11682-020-00431-2

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