1. Southwick, S. M. & Charney, D. S. The science of resilience: Implications for the prevention and treatment of depression. Science 338, 79–82. https://doi.org/10.1126/science.1222942 (2012).
2. American Psychological Association. Building your resilience. http://www.apa.org/topics/resilience (2020).
3. Dedovic, K., D’Aguiar, C. & Pruessner, J. C. What stress does to your brain: A review of neuroimaging studies. Can. J. Psychiatry 54, 6–15. https://doi.org/10.1177/070674370905400104 (2009).
4. Bremner, J. D. Neuroimaging in posttraumatic stress disorder and other stress-related disorders. Neuroimaging Clin. N. Am. 17, 523–538. https://doi.org/10.1016/j.nic.2007.07.003 (2007) (ix).
5. Jovanovic, T. & Ressler, K. J. How the neurocircuitry and genetics of fear inhibition may inform our understanding of PTSD. Am. J. Psychiatry 167, 648–662. https://doi.org/10.1176/appi.ajp.2009.09071074 (2010).
6. Menon, V. & Uddin, L. Q. Saliency, switching, attention and control: A network model of insula function. Brain Struct. Funct. 214, 655–667. https://doi.org/10.1007/s00429-010-0262-0 (2010).
7. Aertsen, A. M., Gerstein, G. L., Habib, M. K. & Palm, G. Dynamics of neuronal firing correlation: Modulation of “effective connectivity”. J. Neurophysiol. 61, 900–917. https://doi.org/10.1152/jn.1989.61.5.900 (1989).
8. Friston, K. J., Frith, C. D., Liddle, P. F. & Frackowiak, R. S. Functional connectivity: The principal-component analysis of large (PET) data sets. J. Cereb. Blood Flow Metab. 13, 5–14. https://doi.org/10.1038/jcbfm.1993.4 (1993).
9. Raichle, M. E. et al. A default mode of brain function. Proc. Natl. Acad. Sci. USA 98, 676–682. https://doi.org/10.1073/pnas.98.2.676 (2001).
10. Greicius, M. D., Krasnow, B., Reiss, A. L. & Menon, V. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. USA 100, 253–258. https://doi.org/10.1073/pnas.0135058100 (2003).
11. Buckner, R. L., Andrews-Hanna, J. R. & Schacter, D. L. The brain’s default network: Anatomy, function, and relevance to disease. Ann. N Y Acad. Sci. 1124, 1–38. https://doi.org/10.1196/annals.1440.011 (2008).
12. Andrews-Hanna, J. R., Reidler, J. S., Huang, C. & Buckner, R. L. Evidence for the default network’s role in spontaneous cognition. J. Neurophysiol. 104, 322–335. https://doi.org/10.1152/jn.00830.2009 (2010).
13. Doucet, G. et al. Patterns of hemodynamic low-frequency oscillations in the brain are modulated by the nature of free thought during rest. NeuroImage 59, 3194–3200. https://doi.org/10.1016/j.neuroimage.2011.11.059 (2012).
14. Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R. & Buckner, R. L. Functional-anatomic fractionation of the brain’s default network. Neuron 65, 550–562. https://doi.org/10.1016/j.neuron.2010.02.005 (2010).
15. Doucet, G. et al. Brain activity at rest: A multiscale hierarchical functional organization. J. Neurophysiol. 105, 2753–2763. https:// doi.org/10.1152/jn.00895.2010 (2011).
16. Bluhm, R. L. et al. Alterations in default network connectivity in posttraumatic stress disorder related to early-life trauma. J. Psychiatry Neurosci. 34, 187–194 (2009).
17. Hemington, K. S. et al. Patients with chronic pain exhibit a complex relationship triad between pain, resilience, and within-and cross-network functional connectivity of the default mode network. Pain 159, 1621–1630. https://doi.org/10.1097/j.pain.00000 00000001252 (2018).
18. Miller, D. R. et al. Default mode network subsystems are differentially disrupted in posttraumatic stress disorder. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 2, 363–371. https://doi.org/10.1016/j.bpsc.2016.12.006 (2017).
19. Hutchison, R. M. et al. Dynamic functional connectivity: Promise, issues, and interpretations. NeuroImage 80, 360–378. https:// doi.org/10.1016/j.neuroimage.2013.05.079 (2013).
20. Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V. & Greicius, M. D. Decoding subject-driven cognitive states with whole-brain connectivity patterns. Cereb. Cortex 22, 158–165. https://doi.org/10.1093/cercor/bhr099 (2012).
21. Schafer, J. et al. Is trait resilience characterized by specific patterns of attentional bias to emotional stimuli and attentional control?. J. Behav. Ther. Exp. Psychiatry 48, 133–139. https://doi.org/10.1016/j.jbtep.2015.03.010 (2015).
22. Vasterling, J. J. et al. Attention, learning, and memory performances and intellectual resources in Vietnam veterans: PTSD and no disorder comparisons. Neuropsychology 16, 5–14. https://doi.org/10.1037//0894-4105.16.1.5 (2002).
23. van der Meere, J., Borger, N. & van Os, T. Sustained attention in major unipolar depression. Percept. Mot. Skills 104, 1350–1354. https://doi.org/10.2466/pms.104.4.1350-1354 (2007).
24. van der Werff, S. J., van den Berg, S. M., Pannekoek, J. N., Elzinga, B. M. & van der Wee, N. J. Neuroimaging resilience to stress: A review. Front. Behav. Neurosci. 7, 39. https://doi.org/10.3389/fnbeh.2013.00039 (2013).
25. Bennett, C. M. & Miller, M. B. How reliable are the results from functional magnetic resonance imaging?. Ann. N Y Acad. Sci. 1191, 133–155. https://doi.org/10.1111/j.1749-6632.2010.05446.x (2010).
26. Huettel, S. A. & McCarthy, G. What is odd in the oddball task? Prefrontal cortex is activated by dynamic changes in response strategy. Neuropsychologia 42, 379–386. https://doi.org/10.1016/j.neuropsychologia.2003.07.009 (2004).
27. Kim, H. Involvement of the dorsal and ventral attention networks in oddball stimulus processing: A meta-analysis. Hum. Brain Mapp. 35, 2265–2284. https://doi.org/10.1002/hbm.22326 (2014).
28. Kong, F., Wang, X., Hu, S. & Liu, J. Neural correlates of psychological resilience and their relation to life satisfaction in a sample of healthy young adults. NeuroImage 123, 165–172. https://doi.org/10.1016/j.neuroimage.2015.08.020 (2015).
29. Waugh, C. E., Wager, T. D., Fredrickson, B. L., Noll, D. C. & Taylor, S. F. The neural correlates of trait resilience when anticipating and recovering from threat. Soc. Cogn. Affect. Neurosci. 3, 322–332. https://doi.org/10.1093/scan/nsn024 (2008).
30. Sidlauskaite, J. et al. Anticipatory processes in brain state switching—Evidence from a novel cued-switching task implicating default mode and salience networks. NeuroImage 98, 359–365. https://doi.org/10.1016/j.neuroimage.2014.05.010 (2014).
31. Connor, K. M. & Davidson, J. R. Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depress. Anxiety 18, 76–82. https://doi.org/10.1002/da.10113 (2003).
32. Ito M. N. S., Shirai, A. & Kim, Y. Cross-cultural validity of the ConnorDavidson Scale: Data from Japanese population. Poster presented at 25th Annual Meeting, International Society of Traumatic Stress Studies (ISTSS), Atlanta, GA, November 2009. (2009).
33. Whitfield-Gabrieli, S. & Nieto-Castanon, A. Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect. 2, 125–141. https://doi.org/10.1089/brain.2012.0073 (2012).
34. Kucyi, A. & Davis, K. D. Dynamic functional connectivity of the default mode network tracks daydreaming. NeuroImage 100, 471–480. https://doi.org/10.1016/j.neuroimage.2014.06.044 (2014).
35. Figley, C. R., Asem, J. S., Levenbaum, E. L. & Courtney, S. M. Effects of body mass index and body fat percent on default mode, executive control, and salience network structure and function. Front. Neurosci. 10, 234. https://doi.org/10.3389/fnins.2016.00234 (2016).
36. Zhang, W. et al. Acute stress alters the “default” brain processing. NeuroImage 189, 870–877. https://doi.org/10.1016/j.neuroimage.2019.01.063 (2019).
37. Sripada, R. K. et al. Neural dysregulation in posttraumatic stress disorder: Evidence for disrupted equilibrium between salience and default mode brain networks. Psychosom. Med. 74, 904–911. https://doi.org/10.1097/PSY.0b013e318273bf33 (2012).
38. Greicius, M. D. & Menon, V. Default-mode activity during a passive sensory task: Uncoupled from deactivation but impacting activation. J. Cogn. Neurosci. 16, 1484–1492. https://doi.org/10.1162/0898929042568532 (2004).
39. Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C. & Constable, R. T. Brain connectivity related to working memory performance. J. Neurosci. 26, 13338–13343. https://doi.org/10.1523/JNEUROSCI.3408-06.2006 (2006).
40. Fransson, P. & Marrelec, G. The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis. NeuroImage 42, 1178–1184. https://doi.org/10.1016/j.neuroimage.2008.05.059 (2008).
41. Bluhm, R. L. et al. Default network connectivity during a working memory task. Hum. Brain Mapp. 32, 1029–1035. https://doi. org/10.1002/hbm.21090 (2011).
42. Goparaju, B., Rana, K. D., Calabro, F. J. & Vaina, L. M. A computational study of whole-brain connectivity in resting state and task fMRI. Med. Sci. Monit. 20, 1024–1042. https://doi.org/10.12659/MSM.891142 (2014).
43. Kiehl, K. A., Laurens, K. R., Duty, T. L., Forster, B. B. & Liddle, P. F. Neural sources involved in auditory target detection and novelty processing: an event-related fMRI study. Psychophysiology 38, 133–142 (2001).
44. Gui, D. et al. Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload. NeuroImage 120, 323–330. https://doi.org/10.1016/j.neuroimage.2015.07.030 (2015).
45. Hahn, B., Ross, T. J. & Stein, E. A. Cingulate activation increases dynamically with response speed under stimulus unpredictability. Cereb. Cortex 17, 1664–1671. https://doi.org/10.1093/cercor/bhl075 (2007).
46. Zamoscik, V., Huffziger, S., Ebner-Priemer, U., Kuehner, C. & Kirsch, P. Increased involvement of the parahippocampal gyri in a sad mood predicts future depressive symptoms. Soc. Cogn. Affect. Neurosci. 9, 2034–2040. https://doi.org/10.1093/scan/nsu006 (2014).
47. Bonanno, G. A. Loss, trauma, and human resilience: Have we underestimated the human capacity to thrive after extremely aversive events?. Am. Psychol. 59, 20–28. https://doi.org/10.1037/0003-066X.59.1.20 (2004).
48. Pietrzak, R. H. et al. Psychosocial buffers of traumatic stress, depressive symptoms, and psychosocial difficulties in veterans of Operations Enduring Freedom and Iraqi Freedom: The role of resilience, unit support, and postdeployment social support. J. Affect. Disord. 20, 188–192. https://doi.org/10.1016/j.jad.2009.04.015 (2010).
49. Cerella, J. Information processing rates in the elderly. Psychol. Bull. 98, 67–83 (1985).
50. Matsuoka, K., Uno, M., Kasai, K., Koyama, K. & Kim, Y. Estimation of premorbid IQ in individuals with Alzheimer’s disease using Japanese ideographic script (Kanji) compound words: Japanese version of National Adult Reading Test. Psychiatry Clin. Neurosci. 60, 332–339. https://doi.org/10.1111/j.1440-1819.2006.01510.x (2006).
51. Oldfield, R. C. The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia 9, 97–113. https://doi. org/10.1016/0028-3932(71)90067-4 (1971).
52. Fujiwara, H. et al. Martial arts “Kendo” and the motivation network during attention processing: An fMRI study. Front. Hum. Neurosci. 13, 170. https://doi.org/10.3389/fnhum.2019.00170 (2019).
53. Griffanti, L. et al. ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. NeuroImage 95, 232–247. https://doi.org/10.1016/j.neuroimage.2014.03.034 (2014).
54. Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L. & Petersen, S. E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 59, 2142–2154. https://doi.org/10.1016/j.neuroimage.2011.10.018 (2012).
55. Nilsonne, G. et al. Intrinsic brain connectivity after partial sleep deprivation in young and older adults: Results from the Stockholm Sleepy Brain study. Sci. Rep. 7, 9422. https://doi.org/10.1038/s41598-017-09744-7 (2017).
56. Zhang, J. T. et al. Decreased functional connectivity between ventral tegmental area and nucleus accumbens in Internet gaming disorder: Evidence from resting state functional magnetic resonance imaging. Behav. Brain Funct. 11, 37. https://doi.org/10.1186/ s12993-015-0082-8 (2015).
57. Habas, C. et al. Distinct cerebellar contributions to intrinsic connectivity networks. J. Neurosci. 29, 8586–8594. https://doi. org/10.1523/JNEUROSCI.1868-09.2009 (2009).