The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Sense of agency in health and disease: A review of cue integration approaches
Open accessAbstract
Sense of agency (SoA) is a compelling but fragile experience that is augmented or attenuated by internal signals and by external cues. A disruption in SoA may characterise individual symptoms of mental illness such as delusions of control. Indeed, it has been argued that generic SoA disturbances may lie at the heart of delusions and hallucinations that characterise schizophrenia. A clearer understanding of how sensorimotor, perceptual and environmental cues complement, or compete with, each other in engendering SoA may prove valuable in deepening our understanding the agency disruptions that characterise certain focal neurological disorders and mental illnesses. Here we examine the integration of SoA cues in health and illness, describing a simple framework of this integration based on Bayesian principles. We extend this to consider how alterations in cue integration may lead to aberrant experiences of agency.
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Cites
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
Kapur, S. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.1.13 · Cited by 2,813
The Bayesian brain: The role of uncertainty in neural coding and computation
Knill, D. C., & Pouget, A. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.10.007 · Cited by 2,588
Discrete coding of reward probability and uncertainty by dopamine neurons
Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003) · Science · doi:10.1126/science.1077349 · Cited by 2,085
Merging the senses into a robust percept
Ernst, M. O., & Bülthoff, H. H. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.02.002 · Cited by 1,906
The cognitive neuropsychology of schizophrenia
(1993) · Choice Reviews Online · doi:10.5860/choice.31-0601 · Cited by 1,901
Neuronal Coding of Prediction Errors
Schultz, W., & Dickinson, A. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.473 · Cited by 1,427
Movement intention after parietal cortex stimulation in humans
Desmurget, M., Reilly, K. T., Richard, N., Szathmari, A., Mottolese, C., & Sirigu, A. (2009) · Science · doi:10.1126/science.1169896 · Cited by 695
The mind's best trick: how we experience conscious will
Wegner, D. M. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00002-0 · Cited by 561
Evidence for sensory prediction deficits in schizophrenia
Shergill, S. S., Samson, G., Bays, P. M., Frith, C. D., & Wolpert, D. M. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.12.2384 · Cited by 432
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Limerick, H., Coyle, D., & Moore, J. W. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00643 · Cited by 241
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Berberian, B., Sarrazin, J.-C., Le Blaye, P., & Haggard, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034075 · Cited by 190
Prediction error, ketamine and psychosis: An updated model
Corlett, P. R., Honey, G. D., & Fletcher, P. C. (2016) · Journal of Psychopharmacology · doi:10.1177/0269881116650087 · Cited by 142
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Griffin, J. D., & Fletcher, P. C. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045145 · Cited by 133
Self-citationZhang, R., Li, H., Meng, H., Zhan, J., Gan, H., & Lee, Y.-C. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713429 · Cited by 123
“As a critical aspect of agency, action initiation has implications for how accountability is attributed for both actions and their consequences [15, 67].”
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Steinert, S., Bublitz, C., Jox, R., & Friedrich, O. (2019) · Philosophy & Technology · doi:10.1007/s13347-018-0308-4 · Cited by 117
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Zito, G. A., Wiest, R., & Aybek, S. (2020) · PLOS ONE · doi:10.1371/journal.pone.0234321 · Cited by 79
Voss, M., Chambon, V., Wenke, D., Kühn, S., & Haggard, P. (2017) · Brain · doi:10.1093/brain/awx136 · Cited by 68
Khalighinejad, N., Di Costa, S., & Haggard, P. (2016) · Brain Stimulation · doi:10.1016/j.brs.2016.01.005 · Cited by 58
Alterations of agency in hypnosis: A new predictive coding model.
Martin, J.-R., & Pacherie, E. (2019) · Psychological Review · doi:10.1037/rev0000134 · Cited by 57
Szalai, J. (2019) · Review of Philosophy and Psychology · doi:10.1007/s13164-017-0371-2 · Cited by 29
Examining Agency, Expertise, and Roles of AI Systems in AI-Mediated Communication
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Metadata
- Authors
- Moore, J. W., & Fletcher, P. C.
- Venue
- Consciousness and Cognition
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 21
- Issue
- 1
- Pages
- 59-68
- ISSN
- 1053-8100 (ISSN-L)
- OpenAlex
- W2021315348
- Cited by
- 448
- References
- 16
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
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