References
- 1Allen, N. B., & Badcock, P. B. T. (2003). The social risk hypothesis of depressed mood: evolutionary, psychosocial, and neurobiological perspectives. Psychological Bulletin, 129(6), 887–913. DOI: 10.1037/0033-2909.129.6.887
- 2Allen, N. B., & Badcock, P. B. T. (2006). Darwinian models of depression: a review of evolutionary accounts of mood and mood disorders. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 30(5), 815–826. DOI: 10.1016/j.pnpbp.2006.01.007
- 3American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). American Psychiatric Pub. DOI: 10.1176/appi.books.9780890425596
- 4Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annual Review of Neuroscience, 28, 403–450. DOI: 10.1146/annurev.neuro.28.061604.135709
- 5Badcock, P. B., Davey, C. G., Whittle, S., Allen, N. B., & Friston, K. J. (2017). The Depressed Brain: An Evolutionary Systems Theory. Trends in Cognitive Sciences, 21(3), 182–194. DOI: 10.1016/j.tics.2017.01.005
- 6Badcock, P. B., Friston, K. J., & Ramstead, M. J. D. (2019). The hierarchically mechanistic mind: A free-energy formulation of the human psyche. Physics of Life Reviews. DOI: 10.1016/j.plrev.2018.10.002
- 7Badcock, P. B., Friston, K. J., Ramstead, M. J. D., Ploeger, A., & Hohwy, J. (2019). The hierarchically mechanistic mind: an evolutionary systems theory of the human brain, cognition, and behavior. Cognitive, Affective & Behavioral Neuroscience. DOI: 10.3758/s13415-019-00721-3
- 8Bruineberg, J., Rietveld, E., Parr, T., van Maanen, L., & Friston, K. J. (2018). Free-energy minimization in joint agent-environment systems: a niche construction perspective. Journal of Theoretical Biology. DOI: 10.1016/j.jtbi.2018.07.002
- 9Buckner, J. D., Joiner, T. E.,
Jr , Pettit, J. W., Lewinsohn, P. M., & Schmidt, N. B. (2008). Implications of the DSM’s emphasis on sadness and anhedonia in major depressive disorder. Psychiatry Research, 159(1–2), 25–30. DOI: 10.1016/j.psychres.2007.05.010 - 10Constant, A., Ramstead, M. J. D., Veissière, S. P. L., Campbell, J. O., & Friston, K. J. (2018). A variational approach to niche construction. Journal of the Royal Society, Interface/the Royal Society, 15(141). DOI: 10.1098/rsif.2017.0685
- 11Corlett, P. R., & Fletcher, P. C. (2014). Computational psychiatry: a Rosetta Stone linking the brain to mental illness. The Lancet. Psychiatry, 1(5), 399–402. DOI: 10.1016/S2215-0366(14)70298-6
- 12Cullen, M., Davey, B., Friston, K. J., & Moran, R. J. (2018). Active Inference in OpenAI Gym: A Paradigm for Computational Investigations Into Psychiatric Illness. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging, 3(9), 809–818. DOI: 10.1016/j.bpsc.2018.06.010
- 13D’Ardenne, K., McClure, S. M., Nystrom, L. E., & Cohen, J. D. (2008). BOLD responses reflecting dopaminergic signals in the human ventral tegmental area. Science, 319(5867), 1264–1267. DOI: 10.1126/science.1150605
- 14Dillon, D. G., & Pizzagalli, D. A. (2018). Mechanisms of Memory Disruption in Depression. Trends in Neurosciences, 41(3), 137–149. DOI: 10.1016/j.tins.2017.12.006
- 15Friston, K. J. (2010). The free-energy principle: a unified brain theory? Nature Reviews. Neuroscience, 11(2), 127–138. DOI: 10.1038/nrn2787
- 16Friston, K. J., FitzGerald, T., Rigoli, F., Schwartenbeck, P., O Doherty, J., & Pezzulo, G. (2016). Active inference and learning. Neuroscience and Biobehavioral Reviews, 68, 862–879. DOI: 10.1016/j.neubiorev.2016.06.022
- 17Friston, K. J., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017). Active inference: a process theory. Neural Computation, 29(1), 1–49. DOI: 10.1162/NECO_a_00912
- 18Friston, K. J., Parr, T., & de Vries, B. (2017). The graphical brain: Belief propagation and active inference. Network Neuroscience, 1(4), 381–414. DOI: 10.1162/NETN_a_00018
- 19Gilbert, P. (1997). The evolution of social attractiveness and its role in shame, humiliation, guilt and therapy. The British Journal of Medical Psychology, 70(Pt 2), 113–147. DOI: 10.1111/j.2044-8341.1997.tb01893.x
- 20Harmer, C. J. (2008). Serotonin and emotional processing: does it help explain antidepressant drug action? Neuropharmacology, 55(6), 1023–1028. DOI: 10.1016/j.neuropharm.2008.06.036
- 21Harmer, C. J., Duman, R. S., & Cowen, P. J. (2017). How do antidepressants work? New perspectives for refining future treatment approaches. The Lancet. Psychiatry, 4(5), 409–418. DOI: 10.1016/S2215-0366(17)30015-9
- 22Harmer, C. J., Goodwin, G. M., & Cowen, P. J. (2009). Why do antidepressants take so long to work? A cognitive neuropsychological model of antidepressant drug action. The British Journal of Psychiatry: The Journal of Mental Science, 195(2), 102–108. DOI: 10.1192/bjp.bp.108.051193
- 23Hesp, C., Smith, R., Parr, T., Allen, M., Friston, K. J., & Ramstead, M. J. D. (2020). Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Computation, 1–49. DOI: 10.31234/osf.io/62pfd
- 24Hindash, A. H. C., & Amir, N. (2012). Negative Interpretation Bias in Individuals with Depressive Symptoms. Cognitive Therapy and Research, 36(5), 502–511. DOI: 10.1007/s10608-011-9397-4
- 25Hrdy, S. B. (2011). Mothers and others. Harvard University Press.
- 26Huys, Q. J. M., Daw, N. D., & Dayan, P. (2015). Depression: a decision-theoretic analysis. Annual Review of Neuroscience, 38, 1–23. DOI: 10.1146/annurev-neuro-071714-033928
- 27Huys, Q. J. M., Guitart-Masip, M., Dolan, R. J., & Dayan, P. (2015). Decision-Theoretic Psychiatry. Clinical Psychological Science, 3(3), 400–421. DOI: 10.1177/2167702614562040
- 28Ingram, R. E., Miranda, J., & Segal, Z. V. (1998). Cognitive vulnerability to depression. Guilford Press.
- 29Kaplan, R., & Friston, K. J. (2018). Planning and navigation as active inference. Biological Cybernetics. DOI: 10.1007/s00422-018-0753-2
- 30Kirmayer, L. J., & Young, A. (1998). Culture and somatization: clinical, epidemiological, and ethnographic perspectives. Psychosomatic Medicine, 60(4), 420–430. DOI: 10.1097/00006842-199807000-00006
- 31Klinger, E. (1975). Consequences of commitment to and disengagement from incentives. Psychological Review, 82(1), 1. DOI: 10.1037/h0076171
- 32Montague, P. R., Dolan, R. J., Friston, K. J., & Dayan, P. (2012). Computational psychiatry. Trends in Cognitive Sciences, 16(1), 72–80. DOI: 10.1016/j.tics.2011.11.018
- 33Nesse, R. M. (1990). Evolutionary explanations of emotions. Human Nature, 1(3), 261–289. DOI: 10.1007/BF02733986
- 34Nesse, R. M. (2000). Is depression an adaptation? Archives of General Psychiatry, 57(1), 14–20. DOI: 10.1001/archpsyc.57.1.14
- 35Nettle, D. (2004). Evolutionary origins of depression: a review and reformulation. Journal of Affective Disorders, 81(2), 91–102. DOI: 10.1016/j.jad.2003.08.009
- 36Parr, T., & Friston, K. J. (2017). Uncertainty, epistemics and active inference. Journal of the Royal Society, Interface / the Royal Society, 14(136). DOI: 10.1098/rsif.2017.0376
- 37Parr, T., Rees, G., & Friston, K. J. (2018). Computational Neuropsychology and Bayesian Inference. Frontiers in Human Neuroscience, 12, 61. DOI: 10.3389/fnhum.2018.00061
- 38Price, J. (1967). THE DOMINANCE HIERARCHY AND THE EVOLUTION OF MENTAL ILLNESS. The Lancet, 290(7509), 243–246. DOI: 10.1016/S0140-6736(67)92306-9
- 39Rude, S. S., Valdez, C. R., Odom, S., & Ebrahimi, A. (2003). Negative Cognitive Biases Predict Subsequent Depression. Cognitive Therapy and Research, 27(4), 415–429. DOI: 10.1023/A:1025472413805
- 40Sales, A. C., Friston, K. J., Jones, M. W., Pickering, A. E., & Moran, R. J. (2019). Locus Coeruleus tracking of prediction errors optimises cognitive flexibility: An Active Inference model. PLoS Computational Biology, 15(1),
e1006267 . DOI: 10.1371/journal.pcbi.1006267 - 41Santini, Z. I., Jose, P. E., York Cornwell, E., Koyanagi, A., Nielsen, L., Hinrichsen, C., Meilstrup, C., Madsen, K. R., & Koushede, V. (2020). Social disconnectedness, perceived isolation, and symptoms of depression and anxiety among older Americans (NSHAP): a longitudinal mediation analysis. The Lancet. Public Health, 5(1), e62–e70. DOI: 10.1016/S2468-2667(19)30230-0
- 42Santini, Z. I., Koyanagi, A., Tyrovolas, S., Mason, C., & Haro, J. M. (2015). The association between social relationships and depression: a systematic review. Journal of Affective Disorders, 175, 53–65. DOI: 10.1016/j.jad.2014.12.049
- 43Sapiro, G., Hashemi, J., & Dawson, G. (2019). Computer vision and behavioral phenotyping: an autism case study. Current Opinion in Biomedical Engineering, 9(C). DOI: 10.1016/j.cobme.2018.12.002
- 44Scardera, S., Perret, L. C., Ouellet-Morin, I., Gariépy, G., Juster, R.-P., Boivin, M., Turecki, G., Tremblay, R. E., Côté, S., & Geoffroy, M.-C. (2020). Association of Social Support During Adolescence With Depression, Anxiety, and Suicidal Ideation in Young Adults. JAMA Network Open, 3(12),
e2027491 . DOI: 10.1001/jamanetworkopen.2020.27491 - 45Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C., Dolan, R., & Friston, K. (2015). The Dopaminergic Midbrain Encodes the Expected Certainty about Desired Outcomes. Cerebral Cortex, 25(10), 3434–3445. DOI: 10.1093/cercor/bhu159
- 46Schwartenbeck, P., & Friston, K. (2016). Computational Phenotyping in Psychiatry: A Worked Example. eNeuro, 3(4). DOI: 10.1523/ENEURO.0049-16.2016
- 47Schwartenbeck, P., Passecker, J., Hauser, T. U., FitzGerald, T. H., Kronbichler, M., & Friston, K. J. (2019). Computational mechanisms of curiosity and goal-directed exploration. eLife, 8. DOI: 10.7554/eLife.41703
- 48Starr, L. R., Hammen, C., Conway, C. C., Raposa, E., & Brennan, P. A. (2014). Sensitizing effect of early adversity on depressive reactions to later proximal stress: Moderation by polymorphisms in serotonin transporter and corticotropin releasing hormone receptor genes in a 20-year longitudinal study. In Development and Psychopathology (Vol. 26, Issue 4pt2, pp. 1241–1254). DOI: 10.1017/S0954579414000996
