Transdiagnostic computations of uncertainty: towards a new lens on intolerance of uncertainty

Sandhu, Timothy R.; Xiao, Bowen; Lawson, Rebecca P.

doi:10.1016/j.neubiorev.2023.105123

Cited by 53Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesNeural and Behavioral Psychology StudiesDecision-Making and Behavioral Economics

Transdiagnostic computations of uncertainty: towards a new lens on intolerance of uncertainty

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Sandhu, Timothy R., Xiao, Bowen, Lawson, Rebecca P.·2023·Neuroscience & Biobehavioral Reviews

DOI 10.1016/j.neubiorev.2023.105123

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Abstract

People radically differ in how they cope with uncertainty. Clinical researchers describe a dispositional characteristic known as "intolerance of uncertainty", a tendency to find uncertainty aversive, reported to be elevated across psychiatric and neurodevelopmental conditions. Concurrently, recent research in computational psychiatry has leveraged theoretical work to characterise individual differences in uncertainty processing. Under this framework, differences in how people estimate different forms of uncertainty can contribute to mental health difficulties. In this review, we briefly outline the concept of intolerance of uncertainty within its clinical context, and we argue that the mechanisms underlying this construct may be further elucidated through modelling how individuals make inferences about uncertainty. We will review the evidence linking psychopathology to different computationally specified forms of uncertainty and consider how these findings might suggest distinct mechanistic routes towards intolerance of uncertainty. We also discuss the implications of this computational approach for behavioural and pharmacological interventions, as well as the importance of different cognitive domains and subjective experiences in studying uncertainty processing.

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Intolerance of uncertainty is characteristic of a large cluster of mental disorders, especially those with predominant internalizing symptoms: anxiety, fears, depression, obsession, eating disorders, self-harm, narrow range of interests, and painful indecision.
“Нетерпимость к неопределенности характерна для большого кластера психических расстройств, особенно тех, при которых преобладают симптомы интернализации: тревога, страхи, депрессия, обсессия, нарушения пищевого поведения, аутоагрессия, узкий круг интересов и болезненная нерешительность (Sandhu et al., 2023).”
From Когнитивные механизмы дисфункционального принятия решений при психических расстройствах (2025) · cites this paper as Sandhu et al., 2023

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Young, E. S., Griskevicius, V., Simpson, J. A., Waters, T. E. A., & Mittal, C. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000124 · Cited by 144 · see citing works
Understanding anxiety in adults on the autism spectrum: An investigation of its relationship with intolerance of uncertainty, sensory sensitivities and repetitive behaviours
Hwang, Y. I. (., Arnold, S., Srasuebkul, P., & Trollor, J. (2020) · Autism · doi:10.1177/1362361319868907 · Cited by 141 · see citing works
The centrality of fear extinction in linking risk factors to PTSD: A narrative review
Zuj, D. V., Palmer, M. A., Lommen, M. J. J., & Felmingham, K. L. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.014 · Cited by 141 · see citing works
Transdiagnostic dimensions of anxiety: Neural mechanisms, executive functions, and new directions
Sharp, P. B., Miller, G. A., & Heller, W. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.07.001 · Cited by 140 · see citing works
Paranoia as a deficit in non-social belief updating
Reed, E. J., Uddenberg, S., Suthaharan, P., Mathys, C. D., Taylor, J. R., Groman, S. M., & Corlett, P. R. (2020) · eLife · doi:10.7554/elife.56345 · Cited by 135 · see citing works
The role of RDoC in future classification of mentaldisorders
Cuthbert, B. N. (2020) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2020.22.1/bcuthbert · Cited by 135 · see citing works
Anxiety Disorders in Adults with Autism Spectrum Disorder: A Population-Based Study
Nimmo‐Smith, V., Heuvelman, H., Dalman, C., Lundberg, M., Nordström, S. I., Carpenter, P. K., Magnusson, C., & Rai, D. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04234-3 · Cited by 130 · see citing works
The computational roots of positivity and confirmation biases in reinforcement learning
Palminteri, S., & Lebreton, M. P. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.04.005 · Cited by 127 · see citing works
Different Varieties of Uncertainty in Human Decision-Making
Bland, A. R., & Schaefer, A. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00085 · Cited by 126 · see citing works
Paranoia and belief updating during the COVID-19 crisis
Suthaharan, P., Reed, E. J., Leptourgos, P., Kenney, J. G., Uddenberg, S., Mathys, C. D., Litman, L., Robinson, J., Moss, A. J., Taylor, J. R., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01176-8 · Cited by 125 · see citing works
Heightened fear of uncertainty in anorexia and bulimia nervosa
Frank, G. K. W., Roblek, T., Shott, M. E., Jappe, L. M., Rollin, M. D. H., Hagman, J. O., & Pryor, T. (2012) · International Journal of Eating Disorders · doi:10.1002/eat.20929 · Cited by 125 · see citing works
Age differences in learning emerge from an insufficient representation of uncertainty in older adults
Nassar, M. R., Bruckner, R., Gold, J. I., Li, S., Heekeren, H. R., & Eppinger, B. (2016) · Nature Communications · doi:10.1038/ncomms11609 · Cited by 123 · see citing works
Sub-second Dopamine and Serotonin Signaling in Human Striatum during Perceptual Decision-Making
Bang, D., Kishida, K. T., Lohrenz, T. M., White, J. P., Laxton, A. W., Tatter, S. B., Fleming, S. M., & Montague, P. R. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.015 · Cited by 123 · see citing works
Sex-dependent diversity in ventral tegmental dopaminergic neurons and developmental programing: A molecular, cellular and behavioral analysis
Gillies, G. E., Virdee, K., McArthur, S., & Dalley, J. W. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.05.033 · Cited by 120 · see citing works
“But it might be a heart attack”: Intolerance of uncertainty and panic disorder symptoms
Carleton, R. N., Duranceau, S., Freeston, M. H., Boelen, P. A., McCabe, R. E., & Antony, M. M. (2014) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2014.04.006 · Cited by 118 · see citing works
Relationships between autism spectrum disorder and intolerance of uncertainty
Vasa, R. A., Kreiser, N. L., Keefer, A., Singh, V., & Mostofsky, S. H. (2018) · Autism Research · doi:10.1002/aur.1916 · Cited by 117 · see citing works
The interpretation of computational model parameters depends on the context
Eckstein, M. K., Master, S. L., Xia, L., Dahl, R. E., Wilbrecht, L., & Collins, A. G. E. (2022) · eLife · doi:10.7554/elife.75474 · Cited by 116 · see citing works
Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample
Wise, T., & Dolan, R. J. (2020) · Nature Communications · doi:10.1038/s41467-020-17977-w · Cited by 113 · see citing works
Contextual inference in learning and memory
Heald, J. B., Lengyel, M., & Wolpert, D. M. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.10.004 · Cited by 112 · see citing works
Reinforcement Learning Disruptions in Individuals With Depression and Sensitivity to Symptom Change Following Cognitive Behavioral Therapy
Brown, V. M., Zhu, L., Solway, A., Wang, J. M., McCurry, K. L., King-Casas, B., & Chiu, P. H. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.1844 · Cited by 112 · see citing works
Computational Dysfunctions in Anxiety: Failure to Differentiate Signal From Noise
Huang, H., Thompson, W., & Paulus, M. P. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.07.007 · Cited by 110 · see citing works
The Known Unknowns: Neural Representation of Second-Order Uncertainty, and Ambiguity
Bach, D. R., Hulme, O. J., Penny, W. D., & Dolan, R. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1452-10.2011 · Cited by 106 · see citing works
Children on the autism spectrum update their behaviour in response to a volatile environment
Manning, C., Kilner, J., Neil, L., Karaminis, T., & Pellicano, E. (2017) · Developmental Science · doi:10.1111/desc.12435 · Cited by 103 · see citing works
Mood Instability and Reward Dysregulation—A Neurocomputational Model of Bipolar Disorder
Mason, L., Eldar, E., & Rutledge, R. B. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3163 · Cited by 100 · see citing works
State anxiety biases estimates of uncertainty and impairs reward learning in volatile environments
Hein, T. P., de Fockert, J., & Ruiz, M. H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117424 · Cited by 99 · see citing works
Impaired adaptation of learning to contingency volatility in internalizing psychopathology
Gagne, C. R., Zika, O., Dayan, P., & Bishop, S. (2020) · eLife · doi:10.7554/elife.61387 · Cited by 94 · see citing works
Modeling flexible behavior in childhood to adulthood shows age-dependent learning mechanisms and less optimal learning in autism in each age group
Crawley, D., Zhang, L., Jones, E. J. H., Ahmad, J., Oakley, B. F. M., Cáceres, A. S. J., Charman, T., Buitelaar, J. K., Murphy, D., Chatham, C. H., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000908 · Cited by 93 · see citing works
Early-life stress and inflammation: A systematic review of a key experimental approach in rodents
Dutcher, E. G., Pama, E. A. C., Lynall, M.-E., Khan, S. A., Clatworthy, M. R., Robbins, T. W., Bullmore, E. T., & Dalley, J. W. (2020) · Brain and Neuroscience Advances · doi:10.1177/2398212820978049 · Cited by 93 · see citing works
Dissociable effects of acute SSRI (escitalopram) on executive, learning and emotional functions in healthy humans
Skandali, N., Rowe, J. B., Voon, V., Deakin, J. B., Cardinal, R. N., Cormack, F., Passamonti, L., Bevan-Jones, W. R., Regenthal, R., Chamberlain, S. R., et al. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0229-z · Cited by 89 · see citing works
Uncertainty Makes Me Emotional: Uncertainty as an Elicitor and Modulator of Emotional States
Morriss, J., Tupitsa, E., Dodd, H. F., & Hirsch, C. R. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.777025 · Cited by 89 · see citing works
Searching for an anchor in an unpredictable world: A computational model of obsessive-compulsive disorder
Fradkin, I., Adams, R. A., Parr, T., Roiser, J. P., & Huppert, J. D. (2020) · Psychological Review · doi:10.1037/rev0000188 · Cited by 89 · see citing works
Affective bias as a rational response to the statistics of rewards and punishments
Pulcu, E., & Browning, M. D. (2017) · eLife · doi:10.7554/elife.27879 · Cited by 88 · see citing works
Cognitive Behavior Therapy Targeting Intolerance of Uncertainty: Application to a Clinical Case of Generalized Anxiety Disorder
Robichaud, M. (2013) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2012.09.001 · Cited by 86 · cited 2× · see citing works
“Treatment within CBT-IU is focussed on directly challenging beliefs about uncertainty, and in contrast to general CBT, particularly targets fear and avoidance of uncertain events, which is thought to contribute to excessive worry (Robichaud, 2013).”
The Computational, Pharmacological, and Physiological Determinants of Sensory Learning under Uncertainty
Lawson, R. P., Bisby, J. A., Nord, C. L., Burgess, N., & Rees, G. E. (2020) · Current Biology · doi:10.1016/j.cub.2020.10.043 · Cited by 85 · see citing works
Self-citation
Transdiagnostic Phenotyping Reveals a Host of Metacognitive Deficits Implicated in Compulsivity
Seow, T. X. F., & Gillan, C. (2019) · Scientific Reports · doi:10.1038/s41598-020-59646-4 · Cited by 82 · see citing works
Decision-Theoretic Psychiatry
Huys, Q. J. M., Guitart‐Masip, M., Dolan, R. J., & Dayan, P. (2015) · Clinical Psychological Science · doi:10.1177/2167702614562040 · Cited by 81 · see citing works
The role of intolerance of uncertainty in classical threat conditioning: Recent developments and directions for future research.
Morriss, J., Zuj, D., & Mertens, G. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.05.011 · Cited by 81 · see citing works
Autistic Cognition: Charting Routes to Anxiety
Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L., & Happé, F. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.03.014 · Cited by 77 · cited 2× · see citing works
“This has led some to hypothesise that intolerance of uncertainty might underscore the high rates of anxiety disorders in the autistic population (Stark et al., 2021).”
Depression and intolerance of uncertainty: Relations between uncertainty subfactors and depression dimensions
Saulnier, K. G., Allan, N. P., Raines, A. M., & Schmidt, N. B. (2019) · Psychiatry · doi:10.1080/00332747.2018.1560583 · Cited by 75 · see citing works
Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder
Henco, L., Diaconescu, A. O., Lahnakoski, J. M., Brandi, M., Hörmann, S., Hennings, J. M., Hasan, A., Papazova, I., Strube, W., Bolis, D., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008162 · Cited by 75 · see citing works
Atypical processing of uncertainty in individuals at risk for psychosis
Cole, D. M., Diaconescu, A. O., Pfeiffer, U. J., Brodersen, K. H., Mathys, C. D., Julkowski, D., Ruhrmann, S., Schilbach, L., Tittgemeyer, M., Vogeley, K. T., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102239 · Cited by 72 · see citing works
Information Processing in Clinically Depressed and Anxious Children and Adolescents
Dalgleish, T., Taghavi, M. R., Doost, H. T. N., Moradi, A., Yule, W., & Canterbury, R. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01540.x · Cited by 69 · see citing works
Intolerance of uncertainty and post-traumatic stress symptoms: An investigation within a treatment seeking trauma-exposed sample
Oglesby, M. E., Gibby, B. A., Mathes, B. M., Short, N. A., & Schmidt, N. B. (2016) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2016.08.011 · Cited by 66 · see citing works
Anxiety, avoidance, and sequential evaluation
Zorowitz, S., Momennejad, I., & Daw, N. (2019) · bioRxiv · doi:10.1162/cpsy_a_00026 · Cited by 64 · see citing works
Momentary subjective well-being depends on learning and not reward
Blain, B., & Rutledge, R. B. (2020) · eLife · doi:10.7554/elife.57977 · Cited by 61 · see citing works
Individual differences in learning predict the return of fear
Gershman, S. J., & Hartley, C. A. (2015) · Learning & Behavior · doi:10.3758/s13420-015-0176-z · Cited by 56 · see citing works
Intolerance of uncertainty and DSM-5 PTSD symptoms: Associations among a treatment seeking veteran sample
Raines, A. M., Oglesby, M. E., Walton, J. L., True, G., & Franklin, C. L. (2018) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2018.12.002 · Cited by 54 · see citing works
Adaptive learning is structure learning in time
Yu, L. Q., Wilson, R. C., & Nassar, M. R. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.024 · Cited by 52 · see citing works
Context-dependent decision-making: a simple Bayesian model
Lloyd, K., & Leslie, D. S. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0069 · Cited by 51 · see citing works
Neural Mechanisms of Updating under Reducible and Irreducible Uncertainty
Kobayashi, K., & Hsu, M. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0535-17.2017 · Cited by 50 · see citing works
Intolerance of Uncertainty–Focused Treatment for Adolescents With Excessive Worry: A Pilot Feasibility Study
Wahlund, T., Andersson, E., Jolstedt, M., Perrin, S., Vigerland, S., & Serlachius, E. (2020) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2019.06.002 · Cited by 49 · see citing works
Translating a rodent measure of negative bias into humans: the impact of induced anxiety and unmedicated mood and anxiety disorders
Aylward, J., Hales, C., Robinson, E., & Robinson, O. J. (2020) · Psychological Medicine · doi:10.1017/s0033291718004117 · Cited by 49 · see citing works
Catecholaminergic modulation of meta-learning
Cook, J. L., Swart, J. C., Froböse, M. I., Diaconescu, A. O., Geurts, D. E. M., den Ouden, H. E. M., & Cools, R. (2019) · eLife · doi:10.7554/elife.51439 · Cited by 48 · see citing works
An empirical evaluation of active inference in multi-armed bandits
Marković, D., Stojić, H., Schwöbel, S., & Kiebel, S. J. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.08.018 · Cited by 44 · see citing works
An examination of active inference in autistic adults using immersive virtual reality
Arthur, T., Harris, D., Buckingham, G., Brosnan, M., Wilson, M., Williams, G., & Vine, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-99864-y · Cited by 44 · see citing works
Models of Dynamic Belief Updating in Psychosis—A Review Across Different Computational Approaches
Katthagen, T., Fromm, S. P., Wieland, L., & Schlagenhauf, F. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.814111 · Cited by 43 · see citing works
The Effects of the Angiotensin II Receptor Antagonist Losartan on Appetitive Versus Aversive Learning: A Randomized Controlled Trial.
Pulcu, E., Shkreli, L., Holst, C. G., Woud, M., Craske, M., Browning, M., & Reinecke, A. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.04.010 · Cited by 41 · see citing works
Going Beyond the Catch-22 of Autism Diagnosis and Research. The Moral Implications of (Not) Asking “What Is Autism?”
Bervoets, J., & Hens, K. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.529193 · Cited by 39 · see citing works
Intolerance of uncertainty, and not social anxiety, is associated with compromised extinction of social threat
Wake, S. J., Morriss, J., Johnstone, T., van Reekum, C. M., & Dodd, H. F. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103818 · Cited by 38 · see citing works
Model-Based Planning Deficits in Compulsivity Are Linked to Faulty Neural Representations of Task Structure
Seow, T. X. F., Benoit, E., Dempsey, C., Jennings, M., Maxwell, A., O'Connell, R., & Gillan, C. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0031-21.2021 · Cited by 35 · see citing works
Patients With Obsessive-Compulsive Disorder Check Excessively in Response to Mild Uncertainty
Toffolo, M. B. J., van den Hout, M., Engelhard, I. M., Hooge, I. T. C., & Cath, D. C. (2016) · Behavior Therapy · doi:10.1016/j.beth.2016.04.002 · Cited by 34 · see citing works
Autism and intolerance of uncertainty: an ill-fitting pair
Bervoets, J., Milton, D. E. M., & de Cruys, S. V. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.08.006 · Cited by 32 · see citing works
Early Life Stress and Psychopathology
McLaughlin, K. A. (2018) · doi:10.1093/oxfordhb/9780190681777.013.3 · Cited by 32 · see citing works
Systems Neuroscience in Depression
Varidaki, A., Mohammad, H., & Coffey, E. T. (2016) · Elsevier eBooks · doi:10.1016/c2014-0-02302-7 · Cited by 31 · see citing works
Predicting intolerance of uncertainty in individuals with eating disorder symptoms
Sternheim, L. C., Fisher, M., Harrison, A., & Watling, R. (2017) · Journal of Eating Disorders · doi:10.1186/s40337-017-0152-4 · Cited by 30 · see citing works
Disrupted state transition learning as a computational marker of compulsivity
Sharp, P. B., Dolan, R., & Eldar, E. (2020) · Psychological Medicine · doi:10.1017/s0033291721003846 · Cited by 30 · see citing works
A Computational Phenotype of Disrupted Moral Inference in Borderline Personality Disorder
Siegel, J. Z., Curwell-Parry, O., Pearce, S., Saunders, K. E. A., & Crockett, M. J. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.07.013 · Cited by 29 · see citing works
The computational psychiatry of reward: broken brains or misguided minds?
Moutoussis, M., Story, G. W., & Dolan, R. J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01445 · Cited by 28 · see citing works
Challenging the negative learning bias hypothesis of depression: reversal learning in a naturalistic psychiatric sample
Brolsma, S. C. A., Vrijsen, J. N., Vassena, E., Kandroodi, M. R., Bergman, M. A., van Eijndhoven, P., Collard, R. M., den Ouden, H. E. M., Schene, A. H., & Cools, R. (2020) · Psychological Medicine · doi:10.1017/s0033291720001956 · Cited by 27 · see citing works
Latent cause inference during extinction learning in trauma-exposed individuals with and without PTSD
Norbury, A., Brinkman, H. R., Kowalchyk, M. L., Monti, E., Pietrzak, R. H., Schiller, D., & Feder, A. (2021) · Psychological Medicine · doi:10.1017/s0033291721000647 · Cited by 26 · see citing works
Dopaminergic challenge dissociates learning from primary versus secondary sources of information
Rybicki, A. J., Sowden, S., Schuster, B. A., & Cook, J. L. (2022) · eLife · doi:10.7554/elife.74893 · Cited by 18 · see citing works
Atypical action updating in a dynamic environment associated with adolescent obsessive–compulsive disorder
Marzuki, A. A., Vaghi, M. M. S., Conway‐Morris, A., Kaşer, M., Sule, A., Apergis-Schoute, A. M., Sahakian, B. J., & Robbins, T. W. (2022) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13628 · Cited by 17 · see citing works
Disentangling “Bayesian brain” theories of autism spectrum disorderPreprint
Schneebeli, M., Haker, H., Rüesch, A., Zahnd, N., Marino, S., Paolini, G., Iglesias, S., Petzschner, F. H., & Stephan, K. E. (2022) · medRxiv · doi:10.1101/2022.02.07.22270242 · Cited by 16 · see citing works
Towards formal models of psychopathological traits that explain symptom trajectories
Sharp, P. B., Miller, G. A., Dolan, R. J., & Eldar, E. (2020) · BMC Medicine · doi:10.1186/s12916-020-01725-4 · Cited by 15 · see citing works
The Computational and Neural Substrates of Ambiguity Avoidance in Anxiety
Lawrance, E., Gagne, C., O’Reilly, J. X., Bijsterbosch, J. D., & Bishop, S. J. (2022) · Computational Psychiatry · doi:10.5334/cpsy.67 · Cited by 15 · see citing works
Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments
Marković, D., & Kiebel, S. J. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00033 · Cited by 14 · see citing works
Adaptive learning from outcome contingencies in eating-disorder risk groups
Pike, A. C., Sharpley, A. L., Park, R. J., Cowen, P. J., Browning, M. D., & Pulcu, E. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02633-w · Cited by 13 · see citing works
Affective Bias Through the Lens of Signal Detection Theory
Locke, S., & Robinson, O. (2020) · Computational Psychiatry · doi:10.5334/cpsy.58 · Cited by 11 · see citing works
A Computational Phenotype of Disrupted Moral Inference in Borderline Personality Disorder
Siegel, J. Z., Curwell-Parry, O., Pearce, S., Saunders, K. E. A., & Crockett, M. J. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.311 · Cited by 7 · see citing works
Inducing Affective Learning Biases with Cognitive Training and Prefrontal tDCS: A Proof-of-Concept Study
Overman, M. J., Browning, M. D., & O’Shea, J. (2020) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10146-9 · Cited by 6 · see citing works
Trait anxiety is associated with hidden state inference during aversive reversal learningPreprint
Zika, O., Wiech, K., Reinecke, A., Browning, M. D., & Schuck, N. W. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.01.483303 · Cited by 6 · see citing works

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Sorted by citations

Uncertainty as a driver of the youth mental health crisis
Schweizer, S., Lawson, R. P., & Blakemore, S.-J. (2023) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2023.101657 · Cited by 76 · see citing works
Self-citation
State of the Science: Intolerance of Uncertainty.
Dugas, M. J., Koerner, N., & Freeston, M. (2025) · The Behavior Therapist · doi:10.1016/j.beth.2025.08.009 · Cited by 21 · see citing works
Functional Neurological Disorder and Autism Spectrum Disorder: A Complex and Potentially Significant Relationship
González‐Herrero, B., Happe, F. G. E., Nicholson, T. R., Morgante, F., Pagonabarraga, J., Deeley, Q., & Edwards, M. J. (2024) · Brain and Behavior · doi:10.1002/brb3.70168 · Cited by 20 · see citing works
Individual differences in autism-like traits are associated with reduced goal emulation in a computational model of observational learning
Wu, Q., Oh, S. S., Tadayonnejad, R., Feusner, J. D., Cockburn, J., O’Doherty, J. P., & Charpentier, C. J. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00287-1 · Cited by 12 · see citing works
“Our secondary hypothesis was that individuals with higher levels of autism-like traits could be less sensitive to changes in the uncertainty of the environment, and less likely to incorporate this information into decisions, according to existing literature 22,23,30,32,42 .”
Distinguishing different parameters of uncertainty under threat in the human brain
Morriss, J. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105385 · Cited by 7 · see citing works
The relationship between latent state inference and (intolerance of) uncertainty
Zika, O. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105321 · Cited by 6 · see citing works
Editorial: What is computational psychopathology, and why do we need it?
Ossola, P., & Pike, A. C. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105170 · Cited by 5 · see citing works
Induced worry increases risk aversion in patients with generalized anxiety
Sporrer, J. K., Johann, A., Chumbley, J. R., Robinson, O. J., & Bach, D. R. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.115192 · Cited by 5 · see citing works
Volatility-driven learning in human infants
Poli, F., Ghilardi, T., Bersee, J. H. M., Mars, R. B., & Hunnius, S. (2025) · Science Advances · doi:10.1126/sciadv.adu2014 · Cited by 4 · see citing works
“In adults, individual differences in volatility estimation have been linked to multiple mental health conditions, to the extent that volatility misestimation has been proposed as a transdiagnostic process that broadly affects mental health ( 3 ).”
Influential
Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging
Limongi, R., Skelton, A. J., Tzianas, L. H., & Silva, A. (2024) · Brain Sciences · doi:10.3390/brainsci14121278 · Cited by 4 · see citing works
“Autism [4,33–37] Obsessive–compulsive disorders [38–40] Anxiety [41–51] Abnormal gambling [52] Intolerance of uncertainty [20,53] Border personality disorder [54] Major depression disorder [55–60] Schizophrenia [31,32,36,61–77] Attention-deficit/hyperactivity disorder [78–80] Motivation disorder…”
Tolerating Uncertainty as a Transdiagnostic Construct and Treatment Target in Functional Motor Disorder
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6 ŞUBAT DEPREMLERİNİ YAŞAYAN BİREYLERDE TRAVMA SONRASI STRES BOZUKLUĞUNU ETKİLEYEN DEĞİŞKENLER ÜZERİNE BİR ARAŞTIRMA
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Authors: Sandhu, T. R., Xiao, B., & Lawson, R. P.
Affiliations: University of Cambridge (GB)
MRC Cognition and Brain Sciences Unit (GB)
ORCID: Xiao, Bowen
Lawson, Rebecca P.
Venue: Neuroscience & Biobehavioral Reviews
Publisher: Elsevier BV
Published: 2023-05
Volume: 148
Pages: 105123
ISSN: 0149-7634 (ISSN-L)
DOI: 10.1016/j.neubiorev.2023.105123
OpenAlex: W4323926355
Cited by: 51
References: 178
Citations by year: 2026: 17 · 2025: 16 · 2024: 10 · 2023: 8
FWCI: 2.17
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Neuroscience & Biobehavioral Reviews (publishedVersion, cc-by)
Funders: Wellcome Trust (206691/Z/17/Z)
Medical Research Council
Lister Institute of Preventive Medicine
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords: intolerance of uncertainty, uncertainty processing, computational psychiatry, individual differences, psychopathology, uncertainty estimation, mechanistic model, behavioral interventions, pharmacological interventions, subjective experience

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Transdiagnostic computations of uncertainty: towards a new lens on intolerance of uncertainty

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