Recent advances in the application of predictive coding and active inference models within clinical neuroscience
Research in clinical neuroscience is founded on the idea that a better understanding of brain (dys)function will improve our ability to diagnose and treat neurological and psychiatric disorders. In recent years, neuroscience has converged on the notion that the brain is a ‘prediction machine,’ in th...
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| Vydáno v: | Psychiatry and clinical neurosciences Ročník 75; číslo 1; s. 3 - 13 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Melbourne
John Wiley & Sons Australia, Ltd
01.01.2021
Wiley Subscription Services, Inc |
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| ISSN: | 1323-1316, 1440-1819, 1440-1819 |
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| Abstract | Research in clinical neuroscience is founded on the idea that a better understanding of brain (dys)function will improve our ability to diagnose and treat neurological and psychiatric disorders. In recent years, neuroscience has converged on the notion that the brain is a ‘prediction machine,’ in that it actively predicts the sensory input that it will receive if one or another course of action is chosen. These predictions are used to select actions that will (most often, and in the long run) maintain the body within the narrow range of physiological states consistent with survival. This insight has given rise to an area of clinical computational neuroscience research that focuses on characterizing neural circuit architectures that can accomplish these predictive functions, and on how the associated processes may break down or become aberrant within clinical conditions. Here, we provide a brief review of examples of recent work on the application of predictive processing models of brain function to study clinical (psychiatric) disorders, with the aim of highlighting current directions and their potential clinical utility. We offer examples of recent conceptual models, formal mathematical models, and applications of such models in empirical research in clinical populations, with a focus on making this material accessible to clinicians without expertise in computational neuroscience. In doing so, we aim to highlight the potential insights and opportunities that understanding the brain as a prediction machine may offer to clinical research and practice. |
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| AbstractList | Research in clinical neuroscience is founded on the idea that a better understanding of brain (dys)function will improve our ability to diagnose and treat neurological and psychiatric disorders. In recent years, neuroscience has converged on the notion that the brain is a 'prediction machine,' in that it actively predicts the sensory input that it will receive if one or another course of action is chosen. These predictions are used to select actions that will (most often, and in the long run) maintain the body within the narrow range of physiological states consistent with survival. This insight has given rise to an area of clinical computational neuroscience research that focuses on characterizing neural circuit architectures that can accomplish these predictive functions, and on how the associated processes may break down or become aberrant within clinical conditions. Here, we provide a brief review of examples of recent work on the application of predictive processing models of brain function to study clinical (psychiatric) disorders, with the aim of highlighting current directions and their potential clinical utility. We offer examples of recent conceptual models, formal mathematical models, and applications of such models in empirical research in clinical populations, with a focus on making this material accessible to clinicians without expertise in computational neuroscience. In doing so, we aim to highlight the potential insights and opportunities that understanding the brain as a prediction machine may offer to clinical research and practice.Research in clinical neuroscience is founded on the idea that a better understanding of brain (dys)function will improve our ability to diagnose and treat neurological and psychiatric disorders. In recent years, neuroscience has converged on the notion that the brain is a 'prediction machine,' in that it actively predicts the sensory input that it will receive if one or another course of action is chosen. These predictions are used to select actions that will (most often, and in the long run) maintain the body within the narrow range of physiological states consistent with survival. This insight has given rise to an area of clinical computational neuroscience research that focuses on characterizing neural circuit architectures that can accomplish these predictive functions, and on how the associated processes may break down or become aberrant within clinical conditions. Here, we provide a brief review of examples of recent work on the application of predictive processing models of brain function to study clinical (psychiatric) disorders, with the aim of highlighting current directions and their potential clinical utility. We offer examples of recent conceptual models, formal mathematical models, and applications of such models in empirical research in clinical populations, with a focus on making this material accessible to clinicians without expertise in computational neuroscience. In doing so, we aim to highlight the potential insights and opportunities that understanding the brain as a prediction machine may offer to clinical research and practice. Research in clinical neuroscience is founded on the idea that a better understanding of brain (dys)function will improve our ability to diagnose and treat neurological and psychiatric disorders. In recent years, neuroscience has converged on the notion that the brain is a ‘prediction machine,’ in that it actively predicts the sensory input that it will receive if one or another course of action is chosen. These predictions are used to select actions that will (most often, and in the long run) maintain the body within the narrow range of physiological states consistent with survival. This insight has given rise to an area of clinical computational neuroscience research that focuses on characterizing neural circuit architectures that can accomplish these predictive functions, and on how the associated processes may break down or become aberrant within clinical conditions. Here, we provide a brief review of examples of recent work on the application of predictive processing models of brain function to study clinical (psychiatric) disorders, with the aim of highlighting current directions and their potential clinical utility. We offer examples of recent conceptual models, formal mathematical models, and applications of such models in empirical research in clinical populations, with a focus on making this material accessible to clinicians without expertise in computational neuroscience. In doing so, we aim to highlight the potential insights and opportunities that understanding the brain as a prediction machine may offer to clinical research and practice. |
| Author | Badcock, Paul Smith, Ryan Friston, Karl J. |
| Author_xml | – sequence: 1 givenname: Ryan orcidid: 0000-0002-4448-185X surname: Smith fullname: Smith, Ryan email: rsmith@laureateinstitute.org organization: Laureate Institute for Brain Research – sequence: 2 givenname: Paul surname: Badcock fullname: Badcock, Paul organization: The University of Melbourne – sequence: 3 givenname: Karl J. surname: Friston fullname: Friston, Karl J. organization: University College London |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32860285$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1098/rstb.2016.0011 10.1016/j.tics.2017.01.005 10.1016/j.cogdev.2008.01.002 10.1016/j.neubiorev.2015.06.007 10.3389/fnhum.2014.00825 10.1101/633677 10.1016/j.drugalcdep.2020.108208 10.1016/B978-008045046-9.00796-8 10.1016/j.jpsychores.2015.12.003 10.1038/s41598-017-15249-0 10.1093/scan/nsx011 10.3389/fnhum.2016.00550 10.1016/j.neuroimage.2017.07.044 10.1371/journal.pone.0037843 10.3389/fpsyg.2019.02844 10.1126/science.aan3458 10.1093/scan/nsy047 10.1097/PSY.0000000000000640 10.1111/j.1467-8624.2009.01408.x 10.1038/nn.4238 10.1016/j.neubiorev.2016.09.010 10.1080/02699930143000239 10.1371/journal.pcbi.1003094 10.1016/j.neuron.2012.10.038 10.1038/tp.2016.104 10.1007/s00422-018-0753-2 10.1016/j.plrev.2018.10.002 10.1016/j.concog.2014.08.002 10.1016/j.tins.2004.10.007 10.1162/NETN_a_00018 10.1037/e602962010-001 10.1017/S0954579404044554 10.1016/j.jmp.2015.11.003 10.1093/scan/nsw171 10.1016/j.neuron.2013.09.009 10.1016/j.tics.2018.12.001 10.1016/j.concog.2018.12.004 10.1038/s41598-019-50138-8 10.1016/j.biopsycho.2018.10.012 10.1162/NECO_a_00912 10.1038/nn.4615 10.1038/nrn3950 10.3758/s13415-019-00721-3 10.1016/j.comppsych.2006.03.001 10.1037/emo0000376 10.1162/CPSY_a_00019 10.1177/0963721414550708 10.1097/PSY.0000000000000661 10.3389/fnhum.2010.00215 10.1371/journal.pcbi.1000209 10.3389/fpsyg.2015.00153 10.1016/j.bpsc.2019.10.007 10.1016/j.nicl.2020.102239 10.1111/nmo.13143 10.1016/j.bbi.2017.09.011 10.1371/journal.pcbi.1008484 10.1073/pnas.1121077109 10.1038/nrn2787 10.1016/j.neubiorev.2019.09.002 10.1523/ENEURO.0049-16.2016 10.31887/DCNS.2016.18.1/wschultz 10.1016/j.biopsych.2019.07.017 10.1016/j.concog.2016.07.008 10.1016/S2215-0366(14)70275-5 10.1016/j.tics.2011.11.018 10.1146/annurev.psych.60.110707.163514 10.1007/s11682-014-9318-8 10.1016/j.beth.2016.11.005 10.1093/scan/nsv065 10.31234/osf.io/ah89z 10.1016/j.conb.2011.02.013 10.1017/S0033291718000430 10.1007/s10802-008-9232-x 10.1371/journal.pone.0047502 10.1037/a0035302 10.1002/wps.20229 10.1016/j.copsyc.2018.10.006 10.1101/2020.02.11.944611 10.1016/j.biopsycho.2020.107925 10.1037/a0037665 10.3389/fnhum.2018.00370 10.1101/2020.08.31.275594 10.3389/fncom.2018.00090 10.1098/rsif.2017.0376 10.1016/j.concog.2017.11.004 10.1038/nrn1884 10.1016/j.neubiorev.2016.06.022 10.1016/j.neubiorev.2015.08.003 10.1093/cercor/bhz118 10.1038/s41598-018-21896-8 10.1126/science.1238411 10.1098/rstb.2005.1622 10.1016/j.neubiorev.2016.08.013 10.1016/j.neubiorev.2013.11.003 10.31234/osf.io/8m62p 10.1093/cercor/bhu159 10.3389/fpsyg.2012.00571 10.3389/fnhum.2014.00302 |
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| Keywords | computational psychiatry emotion active inference computational neuroscience predictive coding |
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| References | 2010; 11 2017; 7 2017; 1 2013; 4 2017; 2 2004; 27 2019; 10 2008; 36 2018; 80 2019; 19 2012; 16 2014; 29 2008; 4 2017; 159 2017; 357 2018; 48 2013; 9 1996; 77 2014; 1 2018; 8 2020; 5 2018; 2 2018; 139 2019; 68 2017; 76 2019; 23 2020; 215 2008; 23 2011; 21 2019; 29 2001; 15 1982 2016; 81 2020; 87 2014; 121 2014; 8 2010; 4 2016; 47 2016; 44 2015; 57 2017; 20 2015; 14 2019; 9 2015; 6 2015; 16 2016; 19 2019; 31 2010 2009; 60 2017; 21 2015; 55 2015; 10 2009 2006; 7 2016; 10 2013; 342 2014; 46 2017; 29 2004 2003 2019; 107 2016; 18 2018; 67 2010; 81 2015; 9 2012; 76 2012; 109 2015; 24 2018; 18 2016; 6 2015; 25 2016; 7 2005; 360 2019; 81 2012; 3 2016; 3 2017; 14 2020; 30 2004; 16 2020 2020; 154 2018; 112 2006; 47 2017; 12 2013; 80 2019 2020; 26 2017 2014; 140 2018; 12 2012; 7 2016; 69 2016; 68 2016; 371 2018; 57 2018; 13 e_1_2_7_108_1 e_1_2_7_3_1 e_1_2_7_104_1 e_1_2_7_7_1 Schwartenbeck P (e_1_2_7_25_1) 2016; 3 e_1_2_7_19_1 e_1_2_7_60_1 e_1_2_7_100_1 e_1_2_7_15_1 e_1_2_7_41_1 e_1_2_7_64_1 e_1_2_7_87_1 e_1_2_7_11_1 e_1_2_7_45_1 e_1_2_7_68_1 Friston KJ (e_1_2_7_101_1) 2017; 2 Smith R (e_1_2_7_83_1) 2018; 12 Smith R (e_1_2_7_111_1) 2020 e_1_2_7_90_1 e_1_2_7_112_1 e_1_2_7_94_1 e_1_2_7_71_1 Smith R (e_1_2_7_26_1) 2019; 10 e_1_2_7_52_1 e_1_2_7_98_1 e_1_2_7_33_1 e_1_2_7_75_1 e_1_2_7_56_1 e_1_2_7_37_1 Gergely G (e_1_2_7_74_1) 1996; 77 e_1_2_7_79_1 Marr D (e_1_2_7_6_1) 1982 Smith R (e_1_2_7_96_1) 2019 e_1_2_7_109_1 e_1_2_7_4_1 e_1_2_7_105_1 e_1_2_7_8_1 Meyer M (e_1_2_7_51_1) 2015; 10 Hesp C (e_1_2_7_23_1) 2020 e_1_2_7_40_1 e_1_2_7_82_1 e_1_2_7_63_1 e_1_2_7_12_1 e_1_2_7_44_1 e_1_2_7_86_1 e_1_2_7_67_1 e_1_2_7_48_1 Adams RA (e_1_2_7_66_1) 2013; 4 Idei H (e_1_2_7_99_1) 2018; 2 e_1_2_7_113_1 e_1_2_7_70_1 e_1_2_7_24_1 e_1_2_7_32_1 e_1_2_7_55_1 e_1_2_7_97_1 e_1_2_7_20_1 e_1_2_7_36_1 e_1_2_7_59_1 e_1_2_7_78_1 Hayes S (e_1_2_7_92_1) 2003 e_1_2_7_106_1 e_1_2_7_9_1 e_1_2_7_102_1 e_1_2_7_17_1 e_1_2_7_81_1 e_1_2_7_13_1 e_1_2_7_43_1 e_1_2_7_85_1 e_1_2_7_47_1 e_1_2_7_89_1 e_1_2_7_28_1 Smith R (e_1_2_7_30_1) 2017 Smith R (e_1_2_7_27_1) 2018; 18 e_1_2_7_73_1 e_1_2_7_110_1 e_1_2_7_50_1 e_1_2_7_31_1 e_1_2_7_77_1 e_1_2_7_54_1 e_1_2_7_21_1 e_1_2_7_35_1 e_1_2_7_39_1 Smith R (e_1_2_7_29_1) 2020 e_1_2_7_107_1 Haker H (e_1_2_7_62_1) 2016; 7 e_1_2_7_80_1 e_1_2_7_103_1 e_1_2_7_84_1 Da Costa L (e_1_2_7_18_1) 2020 e_1_2_7_61_1 e_1_2_7_2_1 Segal Z (e_1_2_7_93_1) 2004 e_1_2_7_14_1 e_1_2_7_42_1 e_1_2_7_88_1 e_1_2_7_65_1 e_1_2_7_10_1 e_1_2_7_46_1 e_1_2_7_69_1 Meyer M (e_1_2_7_49_1) 2012; 3 e_1_2_7_91_1 e_1_2_7_72_1 e_1_2_7_95_1 e_1_2_7_53_1 e_1_2_7_76_1 Parr T (e_1_2_7_5_1) 2018; 12 e_1_2_7_22_1 e_1_2_7_34_1 e_1_2_7_57_1 Chekroud AM (e_1_2_7_58_1) 2015; 6 e_1_2_7_38_1 Brown TH (e_1_2_7_16_1) 2009 |
| References_xml | – volume: 4 start-page: 47 year: 2013 article-title: The computational anatomy of psychosis publication-title: Front. Psych. – year: 2019 article-title: An active inference approach to dissecting reasons for nonadherence to antidepressants publication-title: Biol. Psychiatry Cogn. Neurosci. Neuroimaging – volume: 10 start-page: 550 year: 2016 article-title: Allostatic self‐efficacy: A metacognitive theory of dyshomeostasis‐induced fatigue and depression publication-title: Front. Hum. Neurosci. – volume: 12 start-page: 848 year: 2017 end-page: 860 article-title: Maintaining the feelings of others in working memory is associated with activation of the left anterior insula and left frontal‐parietal control network publication-title: Soc. Cogn. Affect. Neurosci. – volume: 12 start-page: 90 year: 2018 article-title: The anatomy of inference: Generative models and brain structure publication-title: Front. Comput. Neurosci. – year: 2020 article-title: Active inference on discrete state‐spaces: A synthesis publication-title: arXiv – volume: 10 start-page: 2844 year: 2019 article-title: Simulating emotions: An active inference model of emotional state inference and emotion concept learning publication-title: Front. Psychol. – volume: 77 start-page: 1181 year: 1996 end-page: 1212 article-title: The social biofeedback theory of parental affect‐mirroring: The development of emotional self‐awareness and self‐control in infancy publication-title: Int. J. Psychoanal. – volume: 16 start-page: 419 year: 2015 end-page: 429 article-title: Interoceptive predictions in the brain publication-title: Nat. Rev. Neurosci. – volume: 12 start-page: 370 year: 2018 article-title: Common and unique neural systems underlying the working memory maintenance of emotional vs. bodily reactions to affective stimuli: The moderating role of trait emotional awareness publication-title: Front. Hum. Neurosci. – volume: 20 start-page: 1293 year: 2017 end-page: 1299 article-title: Adults with autism overestimate the volatility of the sensory environment publication-title: Nat. Neurosci. – volume: 23 start-page: 291 year: 2008 end-page: 312 article-title: Children acquire emotion categories gradually publication-title: Cogn. Develop. – volume: 7 year: 2017 article-title: Working memory, attention, and salience in active inference publication-title: Sci. Rep. – volume: 7 start-page: 107 year: 2016 article-title: Can Bayesian theories of autism spectrum disorder help improve clinical practice? publication-title: Front. Psych. – volume: 3 start-page: 1 year: 2012 end-page: 11 article-title: Social working memory: Neurocognitive networks and directions for future research publication-title: Front. Psychol. – volume: 16 start-page: 72 year: 2012 end-page: 80 article-title: Computational psychiatry publication-title: Trends Cogn. Sci. – volume: 81 start-page: 125 year: 2019 end-page: 145 article-title: An embodied neurocomputational framework for organically integrating biopsychosocial processes: An application to the role of social support in health and disease publication-title: Psychosom. Med. – volume: 8 start-page: 302 year: 2014 article-title: An aberrant precision account of autism publication-title: Front. Hum. Neurosci. – volume: 4 year: 2008 article-title: A hierarchy of time‐scales and the brain publication-title: PLoS Comput. Biol. – volume: 57 start-page: 1 year: 2015 end-page: 29 article-title: The neural basis of one's own conscious and unconscious emotional states publication-title: Neurosci. Biobehav. Rev. – volume: 47 start-page: 838 year: 2016 end-page: 853 article-title: Toward a unified treatment for emotional disorders – Republished article publication-title: Behav. Ther. – volume: 68 start-page: 33 year: 2019 end-page: 46 article-title: The importance of identifying underlying process abnormalities in alexithymia: Implications of the three‐process model and a single case study illustration publication-title: Conscious. Cogn. – volume: 24 start-page: 10 year: 2015 end-page: 16 article-title: Unpacking emotion differentiation: Transforming unpleasant experience by perceiving distinctions in negativity publication-title: Curr. Dir. Psychol. Sci. – volume: 12 start-page: 618 year: 2017 end-page: 634 article-title: Hierarchical prediction errors in midbrain and septum during social learning publication-title: Soc. Cogn. Affect. Neurosci. – volume: 14 year: 2017 article-title: Uncertainty, epistemics and active inference publication-title: J. R. Soc. Interface – volume: 29 year: 2017 article-title: Emotional awareness and expression training improves irritable bowel syndrome: A randomized controlled trial publication-title: Neurogastroenterol. Motil. – volume: 7 year: 2012 article-title: Spontaneous prediction error generation in schizophrenia publication-title: PLoS One – year: 2010 – volume: 46 start-page: 44 year: 2014 end-page: 57 article-title: From conflict management to reward‐based decision making: Actors and critics in primate medial frontal cortex publication-title: Neurosci. Biobehav. Rev. – volume: 9 start-page: 574 year: 2015 end-page: 587 article-title: The neural basis of attaining conscious awareness of sad mood publication-title: Brain Imag. Behav. – volume: 21 start-page: 182 year: 2017 end-page: 194 article-title: The depressed brain: An evolutionary systems theory publication-title: Trends Cogn. Sci. – volume: 357 start-page: 596 year: 2017 end-page: 600 article-title: Pavlovian conditioning‐induced hallucinations result from overweighting of perceptual priors publication-title: Science – volume: 69 start-page: 216 year: 2016 end-page: 238 article-title: Unconscious emotion: A cognitive neuroscientific perspective publication-title: Neurosci. Biobehav. Rev. – volume: 109 start-page: 1883 year: 2012 end-page: 1888 article-title: Evidence for social working memory from a parametric functional MRI study publication-title: Proc. Natl. Acad. Sci. U. S. A. – volume: 121 start-page: 649 year: 2014 end-page: 675 article-title: Precise minds in uncertain worlds: Predictive coding in autism publication-title: Psychol. Rev. – volume: 107 start-page: 473 year: 2019 end-page: 491 article-title: Neurocomputational mechanisms underlying emotional awareness: Insights afforded by deep active inference and their potential clinical relevance publication-title: Neurosci. Biobehav. Rev. – volume: 9 year: 2013 article-title: Emotional valence and the free‐energy principle publication-title: PLoS Comput. Biol. – volume: 6 start-page: 153 year: 2015 article-title: Unifying treatments for depression: An application of the free energy principle publication-title: Front. Psychol. – volume: 76 start-page: 187 year: 2017 end-page: 215 article-title: Reconciling cognitive and affective neuroscience perspectives on the brain basis of emotional experience publication-title: Neurosci. Biobehav. Rev. – volume: 6 year: 2016 article-title: A mega‐analysis of fixed‐dose trials reveals dose‐dependency and a rapid onset of action for the antidepressant effect of three selective serotonin reuptake inhibitors publication-title: Transl. Psychiatry – volume: 67 start-page: 374 year: 2018 end-page: 397 article-title: Nested positive feedback loops in the maintenance of major depression: An integration and extension of previous models publication-title: Brain Behav. Immun. – volume: 11 start-page: 127 year: 2010 end-page: 138 article-title: The free‐energy principle: A unified brain theory? publication-title: Nat. Rev. Neurosci. – volume: 3 year: 2016 article-title: Computational phenotyping in psychiatry: A worked example publication-title: eNeuro – volume: 87 start-page: 388 year: 2020 end-page: 398 article-title: Distorted cognitive processes in major depression: A predictive processing perspective publication-title: Biol. Psychiatry – volume: 154 start-page: 107925 year: 2020 article-title: The evolution and development of the uniquely human capacity for emotional awareness: A synthesis of comparative anatomical, cognitive, neurocomputational, and evolutionary psychological perspectives publication-title: Biol. Psychol. – volume: 47 start-page: 489 year: 2006 end-page: 495 article-title: Two facets of being bothered by bodily sensations: Anxiety sensitivity and alexithymia in psychosomatic patients publication-title: Compr. Psychiatry – volume: 29 start-page: 1 year: 2017 end-page: 49 article-title: Active inference: A process theory publication-title: Neural Comput. – volume: 25 start-page: 3434 year: 2015 end-page: 3445 article-title: The dopaminergic midbrain encodes the expected certainty about desired outcomes publication-title: Cereb. Cortex – volume: 44 start-page: 103 year: 2016 end-page: 113 article-title: Unwanted reminders: The effects of emotional memory suppression on subsequent neuro‐cognitive processing publication-title: Conscious. Cogn. – volume: 112 start-page: 323 year: 2018 end-page: 343 article-title: Planning and navigation as active inference publication-title: Biol. Cybern. – volume: 8 start-page: 825 year: 2014 article-title: Uncertainty in perception and the hierarchical Gaussian filter publication-title: Front. Hum. Neurosci. – volume: 30 start-page: 682 year: 2020 end-page: 695 article-title: Prefrontal computation as active inference publication-title: Cereb. Cortex – volume: 57 start-page: 54 year: 2018 end-page: 61 article-title: Greater cortical thickness within the limbic visceromotor network predicts higher levels of trait emotional awareness publication-title: Conscious. Cogn. – volume: 48 start-page: 2277 year: 2018 end-page: 2284 article-title: What is mood? A computational perspective publication-title: Psychol. Med. – year: 1982 – volume: 8 year: 2018 article-title: The role of medial prefrontal cortex in the working memory maintenance of one's own emotional responses publication-title: Sci. Rep. – volume: 15 start-page: 713 year: 2001 end-page: 724 article-title: Knowing what you're feeling and knowing what to do about it: Mapping the relation between emotion differentiation and emotion regulation publication-title: Cognit. Emot. – start-page: 45 year: 2004 end-page: 65 – volume: 7 year: 2012 article-title: Smooth pursuit and visual occlusion: Active inference and oculomotor control in schizophrenia publication-title: PLoS ONE – volume: 68 start-page: 862 year: 2016 end-page: 879 article-title: Active inference and learning publication-title: Neurosci. Biobehav. Rev. – volume: 27 start-page: 712 year: 2004 end-page: 719 article-title: The Bayesian brain: The role of uncertainty in neural coding and computation publication-title: Trends Neurosci. – volume: 19 start-page: 1319 year: 2019 end-page: 1351 article-title: The hierarchically mechanistic mind: An evolutionary systems theory of the human brain, cognition, and behavior publication-title: Cogn. Affect. Behav. Neurosci. – volume: 19 start-page: 404 year: 2016 end-page: 413 article-title: Computational psychiatry as a bridge from neuroscience to clinical applications publication-title: Nat. Neurosci. – volume: 18 start-page: 23 year: 2016 end-page: 32 article-title: Dopamine reward prediction error coding publication-title: Dialogues Clin. Neurosci. – volume: 80 start-page: 880 year: 2018 end-page: 890 article-title: Biased competition favoring physical over emotional pain: A possible explanation for the link between early adversity and chronic pain publication-title: Psychosom. Med. – volume: 2 start-page: 640 year: 2017 end-page: 643 article-title: Precision psychiatry publication-title: Biol. Psychiat. Cogn. Neurosci. Neuroimaging – volume: 371 year: 2016 article-title: An active inference theory of allostasis and interoception in depression publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. – volume: 80 start-page: 519 year: 2013 end-page: 530 article-title: Hierarchical prediction errors in midbrain and basal forebrain during sensory learning publication-title: Neuron – start-page: 1049 year: 2009 end-page: 1056 – volume: 9 year: 2019 article-title: Introducing a Bayesian model of selective attention based on active inference publication-title: Sci. Rep. – volume: 29 start-page: 1 year: 2019 end-page: 5 article-title: Attention or salience? publication-title: Curr. Opin. Psychol. – volume: 10 year: 2015 article-title: Social working memory and its distinctive link to social cognitive ability: An fMRI study publication-title: Soc. Cogn. Affect. Neurosci. – volume: 55 start-page: 594 year: 2015 end-page: 611 article-title: Affective agnosia: Expansion of the alexithymia construct and a new opportunity to integrate and extend Freud's legacy publication-title: Neurosci. Biobehav. Rev. – volume: 139 start-page: 131 year: 2018 end-page: 151 article-title: A neuro‐cognitive process model of emotional intelligence publication-title: Biol. Psychol. – volume: 81 start-page: 472 year: 2010 end-page: 479 article-title: Categorization in 3‐ and 4‐month‐old infants: An advantage of words over tones publication-title: Child Dev. – volume: 4 start-page: 215 year: 2010 article-title: Attention, uncertainty, and free‐energy publication-title: Front. Hum. Neurosci. – volume: 76 start-page: 198 year: 2017 end-page: 211 article-title: A tutorial on the free‐energy framework for modelling perception and learning publication-title: J. Math. Psychol. – year: 2017 article-title: How do emotions work? publication-title: Front. Young Minds. – volume: 14 start-page: 158 year: 2015 end-page: 160 article-title: What has serotonin to do with depression? publication-title: World Psychiat. – volume: 5 start-page: 173 year: 2020 end-page: 183 article-title: Volatility estimates increase choice switching and relate to prefrontal activity in schizophrenia publication-title: Biol. Psychiatry Cogn. Neurosci. Neuroimaging – volume: 60 start-page: 693 year: 2009 end-page: 716 article-title: The social brain: Neural basis of social knowledge publication-title: Annu. Rev. Psychol. – volume: 81 start-page: 1 year: 2016 end-page: 8 article-title: The effects of a novel psychological attribution and emotional awareness and expression therapy for chronic musculoskeletal pain: A preliminary, uncontrolled trial publication-title: J. Psychosomat. Res. – year: 2003 – volume: 215 year: 2020 article-title: Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore‐exploit dilemma publication-title: Drug Alcohol Depend. – volume: 342 year: 2013 article-title: Structural and functional brain networks: From connections to cognition publication-title: Science – volume: 159 start-page: 99 year: 2017 end-page: 106 article-title: Resting state functional connectivity correlates of emotional awareness publication-title: NeuroImage – volume: 2 start-page: 164 year: 2018 end-page: 182 article-title: Neurorobotics simulation of autistic behavior induced by unusual sensory precision publication-title: Comput. Psychiat. – volume: 31 start-page: 104 year: 2019 end-page: 121 article-title: The hierarchically mechanistic mind: A free‐energy formulation of the human psyche publication-title: Phys. Life Rev. – volume: 21 start-page: 381 year: 2011 end-page: 386 article-title: Computational models of motivated action selection in corticostriatal circuits publication-title: Curr. Opin. Neurobiol. – volume: 1 start-page: 381 year: 2017 end-page: 414 article-title: The graphical brain: Belief propagation and active inference publication-title: Network Neuroscience – volume: 1 start-page: 148 year: 2014 end-page: 158 article-title: Computational psychiatry: The brain as a phantastic organ publication-title: Lancet Psychiatry – volume: 140 start-page: 774 year: 2014 end-page: 815 article-title: From stress to inflammation and major depressive disorder: A social signal transduction theory of depression publication-title: Psychol. Bull. – volume: 26 year: 2020 article-title: Atypical processing of uncertainty in individuals at risk for psychosis publication-title: Neuroimage Clin. – volume: 18 start-page: 670 year: 2018 end-page: 692 article-title: The structure of emotional experience and its relation to trait emotional awareness: A theoretical review publication-title: Emotion – year: 2020 article-title: Deeply felt affect: The emergence of valence in deep active inference publication-title: Neural Comput. – volume: 29 start-page: 117 year: 2014 end-page: 130 article-title: Role of medial prefrontal cortex in representing one's own subjective emotional responses: A preliminary study publication-title: Conscious. Cogn. – volume: 23 start-page: 114 year: 2019 end-page: 127 article-title: Hallucinations and strong priors publication-title: Trends Cogn. Sci. – volume: 36 start-page: 1057 year: 2008 end-page: 1068 article-title: Do theory of mind and executive function deficits underlie the adverse outcomes associated with profound early deprivation? Findings from the English and Romanian adoptees study publication-title: J. Abnorm. Child Psychol. – year: 2020 article-title: Greater decision uncertainty characterizes a transdiagnostic patient sample during approach‐avoidance conflict: A computational modeling approach publication-title: J. Psychiatry Neurosci. – year: 2020 – volume: 7 start-page: 268 year: 2006 end-page: 277 article-title: Meeting of minds: The medial frontal cortex and social cognition publication-title: Nat. Rev. Neurosci. – volume: 360 start-page: 815 year: 2005 end-page: 836 article-title: A theory of cortical responses publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. – volume: 76 start-page: 695 year: 2012 end-page: 711 article-title: Canonical microcircuits for predictive coding publication-title: Neuron – year: 2017 – volume: 13 start-page: 665 year: 2018 end-page: 675 article-title: Higher levels of trait emotional awareness are associated with more efficient global information integration throughout the brain: A graph‐theoretic analysis of resting state functional connectivity publication-title: Soc. Cogn. Affect. Neurosci. – volume: 16 start-page: 355 year: 2004 end-page: 369 article-title: Emotion understanding in postinstitutionalized eastern European children publication-title: Dev. Psychopathol. – ident: e_1_2_7_42_1 doi: 10.1098/rstb.2016.0011 – ident: e_1_2_7_44_1 doi: 10.1016/j.tics.2017.01.005 – volume-title: Vision year: 1982 ident: e_1_2_7_6_1 – ident: e_1_2_7_73_1 doi: 10.1016/j.cogdev.2008.01.002 – ident: e_1_2_7_68_1 doi: 10.1016/j.neubiorev.2015.06.007 – ident: e_1_2_7_102_1 doi: 10.3389/fnhum.2014.00825 – ident: e_1_2_7_75_1 doi: 10.1101/633677 – ident: e_1_2_7_110_1 doi: 10.1016/j.drugalcdep.2020.108208 – start-page: 1049 volume-title: Encyclopedia of Neuroscience year: 2009 ident: e_1_2_7_16_1 doi: 10.1016/B978-008045046-9.00796-8 – ident: e_1_2_7_70_1 doi: 10.1016/j.jpsychores.2015.12.003 – ident: e_1_2_7_52_1 doi: 10.1038/s41598-017-15249-0 – ident: e_1_2_7_82_1 doi: 10.1093/scan/nsx011 – ident: e_1_2_7_67_1 doi: 10.3389/fnhum.2016.00550 – ident: e_1_2_7_76_1 doi: 10.1016/j.neuroimage.2017.07.044 – year: 2019 ident: e_1_2_7_96_1 article-title: An active inference approach to dissecting reasons for nonadherence to antidepressants publication-title: Biol. Psychiatry Cogn. Neurosci. Neuroimaging – ident: e_1_2_7_98_1 doi: 10.1371/journal.pone.0037843 – volume: 10 start-page: 2844 year: 2019 ident: e_1_2_7_26_1 article-title: Simulating emotions: An active inference model of emotional state inference and emotion concept learning publication-title: Front. Psychol. doi: 10.3389/fpsyg.2019.02844 – ident: e_1_2_7_107_1 doi: 10.1126/science.aan3458 – ident: e_1_2_7_84_1 doi: 10.1093/scan/nsy047 – volume: 7 start-page: 107 year: 2016 ident: e_1_2_7_62_1 article-title: Can Bayesian theories of autism spectrum disorder help improve clinical practice? publication-title: Front. Psych. – ident: e_1_2_7_90_1 doi: 10.1097/PSY.0000000000000640 – ident: e_1_2_7_72_1 doi: 10.1111/j.1467-8624.2009.01408.x – ident: e_1_2_7_11_1 doi: 10.1038/nn.4238 – year: 2020 ident: e_1_2_7_23_1 article-title: Deeply felt affect: The emergence of valence in deep active inference publication-title: Neural Comput. – ident: e_1_2_7_28_1 doi: 10.1016/j.neubiorev.2016.09.010 – ident: e_1_2_7_88_1 doi: 10.1080/02699930143000239 – ident: e_1_2_7_46_1 doi: 10.1371/journal.pcbi.1003094 – ident: e_1_2_7_7_1 doi: 10.1016/j.neuron.2012.10.038 – ident: e_1_2_7_41_1 doi: 10.1038/tp.2016.104 – ident: e_1_2_7_21_1 doi: 10.1007/s00422-018-0753-2 – ident: e_1_2_7_35_1 doi: 10.1016/j.plrev.2018.10.002 – volume: 4 start-page: 47 year: 2013 ident: e_1_2_7_66_1 article-title: The computational anatomy of psychosis publication-title: Front. Psych. – ident: e_1_2_7_80_1 doi: 10.1016/j.concog.2014.08.002 – volume: 2 start-page: 640 year: 2017 ident: e_1_2_7_101_1 article-title: Precision psychiatry publication-title: Biol. Psychiat. Cogn. Neurosci. Neuroimaging – ident: e_1_2_7_4_1 doi: 10.1016/j.tins.2004.10.007 – ident: e_1_2_7_3_1 doi: 10.1162/NETN_a_00018 – volume: 77 start-page: 1181 year: 1996 ident: e_1_2_7_74_1 article-title: The social biofeedback theory of parental affect‐mirroring: The development of emotional self‐awareness and self‐control in infancy publication-title: Int. J. Psychoanal. – ident: e_1_2_7_94_1 doi: 10.1037/e602962010-001 – ident: e_1_2_7_87_1 doi: 10.1017/S0954579404044554 – ident: e_1_2_7_14_1 doi: 10.1016/j.jmp.2015.11.003 – ident: e_1_2_7_103_1 doi: 10.1093/scan/nsw171 – ident: e_1_2_7_104_1 doi: 10.1016/j.neuron.2013.09.009 – ident: e_1_2_7_65_1 doi: 10.1016/j.tics.2018.12.001 – ident: e_1_2_7_69_1 doi: 10.1016/j.concog.2018.12.004 – ident: e_1_2_7_55_1 doi: 10.1038/s41598-019-50138-8 – ident: e_1_2_7_31_1 doi: 10.1016/j.biopsycho.2018.10.012 – ident: e_1_2_7_17_1 doi: 10.1162/NECO_a_00912 – ident: e_1_2_7_109_1 doi: 10.1038/nn.4615 – ident: e_1_2_7_43_1 doi: 10.1038/nrn3950 – ident: e_1_2_7_36_1 doi: 10.3758/s13415-019-00721-3 – year: 2020 ident: e_1_2_7_111_1 article-title: Greater decision uncertainty characterizes a transdiagnostic patient sample during approach‐avoidance conflict: A computational modeling approach publication-title: J. Psychiatry Neurosci. – ident: e_1_2_7_85_1 doi: 10.1016/j.comppsych.2006.03.001 – volume: 18 start-page: 670 year: 2018 ident: e_1_2_7_27_1 article-title: The structure of emotional experience and its relation to trait emotional awareness: A theoretical review publication-title: Emotion doi: 10.1037/emo0000376 – volume: 2 start-page: 164 year: 2018 ident: e_1_2_7_99_1 article-title: Neurorobotics simulation of autistic behavior induced by unusual sensory precision publication-title: Comput. Psychiat. doi: 10.1162/CPSY_a_00019 – ident: e_1_2_7_89_1 doi: 10.1177/0963721414550708 – ident: e_1_2_7_45_1 doi: 10.1097/PSY.0000000000000661 – ident: e_1_2_7_53_1 doi: 10.3389/fnhum.2010.00215 – ident: e_1_2_7_34_1 – ident: e_1_2_7_13_1 doi: 10.1371/journal.pcbi.1000209 – volume: 6 start-page: 153 year: 2015 ident: e_1_2_7_58_1 article-title: Unifying treatments for depression: An application of the free energy principle publication-title: Front. Psychol. doi: 10.3389/fpsyg.2015.00153 – ident: e_1_2_7_105_1 doi: 10.1016/j.bpsc.2019.10.007 – ident: e_1_2_7_106_1 doi: 10.1016/j.nicl.2020.102239 – ident: e_1_2_7_71_1 doi: 10.1111/nmo.13143 – ident: e_1_2_7_61_1 doi: 10.1016/j.bbi.2017.09.011 – ident: e_1_2_7_112_1 doi: 10.1371/journal.pcbi.1008484 – ident: e_1_2_7_50_1 doi: 10.1073/pnas.1121077109 – ident: e_1_2_7_19_1 doi: 10.1038/nrn2787 – ident: e_1_2_7_22_1 doi: 10.1016/j.neubiorev.2019.09.002 – volume: 3 year: 2016 ident: e_1_2_7_25_1 article-title: Computational phenotyping in psychiatry: A worked example publication-title: eNeuro doi: 10.1523/ENEURO.0049-16.2016 – ident: e_1_2_7_38_1 doi: 10.31887/DCNS.2016.18.1/wschultz – ident: e_1_2_7_59_1 doi: 10.1016/j.biopsych.2019.07.017 – ident: e_1_2_7_77_1 doi: 10.1016/j.concog.2016.07.008 – volume-title: Acceptance and Commitment Therapy: An Experiential Approach to Behavior Change year: 2003 ident: e_1_2_7_92_1 – volume-title: Neuroscience of Enduring Change: Implications for Psychotherapy year: 2020 ident: e_1_2_7_29_1 – ident: e_1_2_7_10_1 doi: 10.1016/S2215-0366(14)70275-5 – ident: e_1_2_7_12_1 doi: 10.1016/j.tics.2011.11.018 – ident: e_1_2_7_47_1 doi: 10.1146/annurev.psych.60.110707.163514 – ident: e_1_2_7_79_1 doi: 10.1007/s11682-014-9318-8 – ident: e_1_2_7_95_1 doi: 10.1016/j.beth.2016.11.005 – volume: 10 start-page: nsv065 year: 2015 ident: e_1_2_7_51_1 article-title: Social working memory and its distinctive link to social cognitive ability: An fMRI study publication-title: Soc. Cogn. Affect. Neurosci. doi: 10.1093/scan/nsv065 – ident: e_1_2_7_100_1 doi: 10.31234/osf.io/ah89z – ident: e_1_2_7_9_1 doi: 10.1016/j.conb.2011.02.013 – ident: e_1_2_7_39_1 doi: 10.1017/S0033291718000430 – ident: e_1_2_7_86_1 doi: 10.1007/s10802-008-9232-x – ident: e_1_2_7_108_1 doi: 10.1371/journal.pone.0047502 – year: 2017 ident: e_1_2_7_30_1 article-title: How do emotions work? publication-title: Front. Young Minds. – ident: e_1_2_7_60_1 doi: 10.1037/a0035302 – ident: e_1_2_7_40_1 doi: 10.1002/wps.20229 – ident: e_1_2_7_56_1 doi: 10.1016/j.copsyc.2018.10.006 – start-page: 45 volume-title: Mindfulness and Acceptance: Expanding the Cognitive‐Behavioral Tradition year: 2004 ident: e_1_2_7_93_1 – ident: e_1_2_7_24_1 doi: 10.1101/2020.02.11.944611 – ident: e_1_2_7_91_1 doi: 10.1016/j.biopsycho.2020.107925 – ident: e_1_2_7_64_1 doi: 10.1037/a0037665 – volume: 12 start-page: 370 year: 2018 ident: e_1_2_7_83_1 article-title: Common and unique neural systems underlying the working memory maintenance of emotional vs. bodily reactions to affective stimuli: The moderating role of trait emotional awareness publication-title: Front. Hum. Neurosci. doi: 10.3389/fnhum.2018.00370 – ident: e_1_2_7_113_1 doi: 10.1101/2020.08.31.275594 – volume: 12 start-page: 90 year: 2018 ident: e_1_2_7_5_1 article-title: The anatomy of inference: Generative models and brain structure publication-title: Front. Comput. Neurosci. doi: 10.3389/fncom.2018.00090 – ident: e_1_2_7_54_1 doi: 10.1098/rsif.2017.0376 – ident: e_1_2_7_78_1 doi: 10.1016/j.concog.2017.11.004 – ident: e_1_2_7_48_1 doi: 10.1038/nrn1884 – ident: e_1_2_7_20_1 doi: 10.1016/j.neubiorev.2016.06.022 – ident: e_1_2_7_33_1 doi: 10.1016/j.neubiorev.2015.08.003 – ident: e_1_2_7_57_1 doi: 10.1093/cercor/bhz118 – ident: e_1_2_7_81_1 doi: 10.1038/s41598-018-21896-8 – ident: e_1_2_7_2_1 doi: 10.1126/science.1238411 – ident: e_1_2_7_8_1 doi: 10.1098/rstb.2005.1622 – ident: e_1_2_7_32_1 doi: 10.1016/j.neubiorev.2016.08.013 – ident: e_1_2_7_37_1 doi: 10.1016/j.neubiorev.2013.11.003 – ident: e_1_2_7_97_1 doi: 10.31234/osf.io/8m62p – ident: e_1_2_7_15_1 doi: 10.1093/cercor/bhu159 – volume: 3 start-page: 1 year: 2012 ident: e_1_2_7_49_1 article-title: Social working memory: Neurocognitive networks and directions for future research publication-title: Front. Psychol. doi: 10.3389/fpsyg.2012.00571 – year: 2020 ident: e_1_2_7_18_1 article-title: Active inference on discrete state‐spaces: A synthesis publication-title: arXiv – ident: e_1_2_7_63_1 doi: 10.3389/fnhum.2014.00302 |
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| SubjectTerms | active inference Brain research Computational neuroscience computational psychiatry emotion Mathematical models Mental disorders Nervous system Neural coding Neurological diseases Neurosciences Predictions predictive coding |
| Title | Recent advances in the application of predictive coding and active inference models within clinical neuroscience |
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