References

• Abbott, A. (2016). The mental-health crisis among migrants. Nature, 538(7624), 158–161. https://doi.org/10.1038/538158a
   PubMedGoogle Scholar
• Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W., Segall, J. M., Silva, R. F., Havlicek, M., Rachakonda, S., Fries, J., Kalyanam, R., Michael, A. M., Caprihan, A., Turner, J. A., Eichele, T., Adelsheim, S., Bryan, A. D., Bustillo, J., Clark, V. P., Feldstein Ewing, S. W., … Calhoun, V. (2011). A baseline for the multivariate comparison of resting-state networks. Frontiers in Systems Neuroscience, 5(2), 2. https://doi.org/10.3389/fnsys.2011.00002
   PubMedGoogle Scholar
• Anderson, E. C., Carleton, R. N., Diefenbach, M., & Han, P. K. J. (2019). The relationship between uncertainty and affect. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02504
   PubMed Web of Science ®Google Scholar
• Andrew and Renata Kaldor Centre for International Refugee Law. (2020). Research Brief: Temporary Protection Visas (TPVs) and Safe Haven Enterprise Visas (SHEVs).
   Google Scholar
• Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010). Functional-anatomic fractionation of the brain's default network. Neuron, 65(4), 550–562. https://doi.org/10.1016/j.neuron.2010.02.005
   PubMed Web of Science ®Google Scholar
• Andrews-Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014). The default network and self-generated thought: component processes, dynamic control, and clinical relevance. Annals of the New York Academy of Sciences, 1316(1), 29–52. https://doi.org/10.1111/nyas.12360
   PubMed Web of Science ®Google Scholar
• Bell, A. J., & Sejnowski, T. J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6), 1129–1159. https://doi.org/10.1162/neco.1995.7.6.1129
   PubMed Web of Science ®Google Scholar
• Buckner, R. L., & DiNicola, L. M. (2019). The brain’s default network: updated anatomy, physiology and evolving insights. Nature Reviews Neuroscience, 20(10), 593–608. https://doi.org/10.1038/s41583-019-0212-7
   PubMed Web of Science ®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. https://doi.org/10.1002/hbm.1048
   PubMed Web of Science ®Google Scholar
• Calhoun, V. D., Miller, R., Pearlson, G., & Adali, T. (2014). The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron, 84(2), 262–274. https://doi.org/10.1016/j.neuron.2014.10.015
   PubMed Web of Science ®Google Scholar
• D’Argembeau, A. (2013). On the role of the ventromedial prefrontal cortex in self-processing: The valuation hypothesis. Frontiers in Human Neuroscience, 7, 372. https://doi.org/10.3389/fnhum.2013.00372
   PubMed Web of Science ®Google Scholar
• Damaraju, E., Allen, E. A., Belger, A., Ford, J. M., McEwen, S., Mathalon, D. H., Mueller, B. A., Pearlson, G. D., Potkin, S. G., Preda, A., Turner, J. A., Vaidya, J. G., van Erp, T. G., & Calhoun, V. D. (2014). Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage: Clinical, 5, 298–308. https://doi.org/10.1016/j.nicl.2014.07.003
   PubMed Web of Science ®Google Scholar
• Damasio, A. R. (1996). The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 351(1346), 1413–1420. https://doi.org/10.1098/rstb.1996.0125
   PubMed Web of Science ®Google Scholar
• Derogatis, L. R., Lipman, R. S., Rickels, K., Uhlenhuth, E. H., & Covi, L. (1974). The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory. Behavioral Science, 19(1), 1–15. https://doi.org/10.1002/bs.3830190102
   PubMedGoogle Scholar
• Du, Y., Fryer, S. L., Fu, Z., et al. (2017). Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage, 180(Pt B), 632–645. https://doi.org/10.1016/j.neuroimage.2017.10.022
   PubMedGoogle Scholar
• Du, Y., Pearlson, G. D., Yu, Q., He, H., Lin, D., Sui, J., Wu, L., & Calhoun, V. D. (2016). Interaction among subsystems within default mode network diminished in schizophrenia patients: a dynamic connectivity approach. Schizophrenia Research, 170(1), 55–65. https://doi.org/10.1016/j.schres.2015.11.021
   PubMed Web of Science ®Google Scholar
• Erhardt, E. B., Rachakonda, S., Bedrick, E. J., Allen, E. A., Adali, T., & Calhoun, V. D. (2011). Comparison of multi-subject ICA methods for analysis of fMRI data. Human Brain Mapping, 32(12), 2075–2095. https://doi.org/10.1002/hbm.21170
   PubMed Web of Science ®Google Scholar
• Foa, E., & Tolin, D. F. (2000). Comparison of the PTSD symptom scale-interview version and the clinician-administered PTSD scale. Journal of Traumatic Stress, 13(2), 181–191. https://doi.org/10.1023/A:1007781909213
   PubMed Web of Science ®Google Scholar
• Freire, L., & Mangin, J. F. (2001). Motion correction algorithms may create spurious brain activations in the absence of subject motion. Neuroimage, 14(3), 709–722. https://doi.org/10.1006/nimg.2001.0869
   PubMed Web of Science ®Google Scholar
• Gammeltoft-Hansen, T., & Tan, N. F. (2017). The end of the deterrence paradigm? Future directions for global refugee policy. Journal on Migration and Human Security, 5(1), 28–56. https://doi.org/10.1177/233150241700500103
   Google Scholar
• Ginty, A. T., Kraynak, T. E., Kuan, D. C., & Gianaros, P. J. (2019). Ventromedial prefrontal cortex connectivity during and after psychological stress in women. Psychophysiology, 56(11), e13445. https://doi.org/10.1111/psyp.13445
   PubMed Web of Science ®Google Scholar
• Hartonen, V. R., Väisänen, P., Karlsson, L., & Pöllänen, S. (2021). A stage of limbo: A meta-synthesis of refugees’ liminality. Applied Psychology, 71, 1132–1167. https://doi.org/10.1111/apps.12349
   Web of Science ®Google Scholar
• Holmes, E. A., Craske, M. G., & Graybiel, A. M. (2014). Psychological treatments: A call for mental-health science. Nature, 511(7509), 287–289. https://doi.org/10.1038/511287a
   PubMed Web of Science ®Google Scholar
• Li, S. S., Liddell, B. J., & Nickerson, A. (2016). The relationship between post-migration stress and psychological disorders in refugees and asylum seekers. Current Psychiatry Reports, 18(9), 82. https://doi.org/10.1007/s11920-016-0723-0
   PubMed Web of Science ®Google Scholar
• Li, Y. O., Adali, T., & Calhoun, V. D. (2007). Estimating the number of independent components for functional magnetic resonance imaging data. Human Brain Mapping, 28(11), 1251–1266. https://doi.org/10.1002/hbm.20359
   PubMed Web of Science ®Google Scholar
• Liddell, B. J., Cheung, J., Outhred, T., Das, P., Malhi, G. S., Felmingham, K. L., Nickerson, A., Den, M., Askovic, M., Coello, M., Aroche, J., & Bryant, R. A. (2019). Neural correlates of posttraumatic stress disorder symptoms, trauma exposure, and postmigration stress in response to fear faces in resettled refugees. Clinical Psychological Science, 7(4), 811–825. https://doi.org/10.1177/2167702619841047
   Web of Science ®Google Scholar
• Malhi, G. S., Das, P., Outhred, T., Bryant, R. A., & Calhoun, V. (2019). Resting-state neural network disturbances that underpin the emergence of emotional symptoms in adolescent girls: Resting-state fMRI study. The British Journal of Psychiatry: The Journal of Mental Science, 215(3), 545–551. https://doi.org/10.1192/bjp.2019.10
   PubMed Web of Science ®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
   PubMed Web of Science ®Google Scholar
• Miller, K. E., & Rasmussen, A. (2017). The mental health of civilians displaced by armed conflict: an ecological model of refugee distress. Epidemiology and Psychiatric Sciences, 26(2), 129–138. https://doi.org/10.1017/S2045796016000172
   PubMed Web of Science ®Google Scholar
• Miller, R. L., Yaesoubi, M., Turner, J. A., Mathalon, D., Preda, A., Pearlson, G., Adali, T., & Calhoun, V. D. (2016). Higher dimensional meta-state analysis reveals reduced resting fMRI connectivity dynamism in schizophrenia patients. PLoS One, 11(3), e0149849. https://doi.org/10.1371/journal.pone
   PubMed Web of Science ®Google Scholar
• Mollica, R., Caspi-Yavin, Y., Bollini, P., Truong, T., Tor, S., & Lavelle, J. (1992). The Harvard Trauma Questionnaire; validating a cross cultural instrument for measuring torture, trauma, and post-traumatic stress disorder in Indochina refugees. The Journal of Nervous and Mental Disease, 180(2), 111–116. https://doi.org/10.1097/00005053-199202000-00008
   PubMed Web of Science ®Google Scholar
• Momartin, S., Steel, Z., Coello, M., Aroche, J., Silove, D., & Brooks, R. (2006). A comparison of the mental health of refugees with temporary versus permanent protection visas. Medical Journal of Australia, 185(7), 357–361. https://doi.org/10.5694/j.1326-5377.2006.tb00610.x
   PubMed Web of Science ®Google Scholar
• Newnham, E. A., Pearman, A., Olinga-Shannon, S., & Nickerson, A. (2019). The mental health effects of visa insecurity for refugees and people seeking asylum: a latent class analysis. International Journal of Public Health, 64(5), 763–772. https://doi.org/10.1007/s00038-019-01249-6
   PubMed Web of Science ®Google Scholar
• Nickerson, A., Byrow, Y., O'Donnell, M., Mau, V., McMahon, T., Pajak, R., Li, S., Hamilton, A., Minihan, S., Liu, C., Bryant, R. A., Berle, D., Liddell, B. J. (2019). The association between visa insecurity and mental health, disability and social engagement in refugees living in Australia. European Journal of Psychotraumatology, 10(1), Article 1688129. https://doi.org/10.1080/20008198.2019.1688129
   PubMed Web of Science ®Google Scholar
• Porter, M., & Haslam, N. (2005). Predisplacement and postdisplacement factors associated with mental health of refugees and internally displaced persons: A meta-analysis. JAMA, 294(5), 602–612. https://doi.org/10.1001/jama.294.5.602
   PubMed Web of Science ®Google Scholar
• Saris, I. M. J., Penninx, B., Dinga, R., van Tol, M.-J., Veltman, D. J., van der Wee, N. J. A., & Aghajani, M. (2020). Default mode network connectivity and social dysfunction in major depressive disorder. Scientific Reports, 10(1), 194. https://doi.org/10.1038/s41598-019-57033-2
   PubMed Web of Science ®Google Scholar
• Schick, M., Morina, N., Mistridis, P., Schnyder, U., Bryant, R. A., & Nickerson, A. (2018). Changes in post-migration living difficulties predict treatment outcome in traumatized refugees. Frontiers in Psychiatry, 9, 476. https://doi.org/10.3389/fpsyt.2018.00433
   PubMed Web of Science ®Google Scholar
• Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., Hergueta, T., Baker, R., & Dunbar, G. C. (1998). The mini-international neuropsychiatric interview (M.I.N.I.): The development and validation of structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59(Suppl 20), 22–33.
   PubMed Web of Science ®Google Scholar
• Steel, Z., Chey, T., Silove, D., Marnane, C., Bryant, R. A., & von Ommeren, M. (2009). Association of torture and other potentially traumatic events with mental health outcomes among populations exposed to mass conflict and displacement. JAMA, 302(5), 537–549. https://doi.org/10.1001/jama.2009.1132
   PubMed Web of Science ®Google Scholar
• Steel, Z., Momartin, S., Silove, D., Coello, M., Aroche, J., & Tay, K. W. (2011). Two year psychosocial and mental health outcomes for refugees subjected to restrictive or supportive immigration policies. Social Science & Medicine, 72(7), 1149–1156. https://doi.org/10.1016/j.socscimed.2011.02.007
   PubMed Web of Science ®Google Scholar
• Steel, Z., Silove, D., Bird, K., McGorry, P., & Mohan, P. (1999). Pathways from war trauma to posttraumatic stress symptoms among Tamil asylum seekers, refugees, and immigrants. Journal of Traumatic Stress, 12(3), 421–435. https://doi.org/10.1023/A:1024710902534
   PubMed Web of Science ®Google Scholar
• Turalska, M., Svenkeson, A., & West, B. J. (2019). Synchronization and anti-synchroniztion of dynamically coupled networks. New Journal of Physics, 21(3), 0033043. https://doi.org/10.1088/1367-2630/ab0991
   Google Scholar
• UNHCR. (2022). Global Trends Forced Displacement 2021. UNHCR.
   Google Scholar
• Van Dijk, K. R., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010). Intrinsic functional connectivity as a tool for human connectomics: Theory, properties, and optimization. Journal of Neurophysiology, 103(1), 297–321. https://doi.org/10.1152/jn.00783.2009
   PubMed Web of Science ®Google Scholar
• Weissman, D. G., Conger, R. D., Robins, R. W., Hastings, P. D., & Guyer, A. E. (2018). Income change alters default mode network connectivity for adolescents in poverty. Developmental Cognitive Neuroscience, 30, 93–99. https://doi.org/10.1016/j.dcn.2018.01.008
   PubMed Web of Science ®Google Scholar
• Yuen, N. H., Osachoff, N., & Chen, J. J. (2019). Intrinsic frequencies of the resting-state fMRI signal: The frequency dependence of functional connectivity and the effect of mode mixing. Frontiers in Neuroscience, 13, 900. https://doi.org/10.3389/fnins.2019.00900
   PubMed Web of Science ®Google Scholar