Meta-analysis of human prediction error for incentives, perception, cognition, and action

Corlett, Philip R.; Mollick, Jessica; Kober, Hedy

doi:10.1038/s41386-021-01264-3

Cited by 61 publications

(58 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Of note, the temporoparietal junction is considered a node of the salience network given consistent evidence that it responds to a range of novel stimuli (ie, auditory, visual, tactile), 5 covaries in resting activity with other salience network structures, 66 and includes subregions that encode a variety of PEs, particularly unsigned PEs. 14 , 53 The normative response of the temporoparietal junction to PE in this study was deactivation (as opposed to activation), consistent with findings from prior studies suggesting that greater suppression of this area in response to increasing attentional demands (cognitive load and surprise) supports filtering of cognitive and perceptual information in healthy individuals. 67 Thus, our observation of aberrant PE-evoked activation of the temporoparietal junction in CHR youth may reflect impaired filtering of internal or external information, consistent with the hypothesis that enhance salience signaling may be involved in the initial formation of psychotic symptoms.…”

Section: Discussionsupporting

confidence: 88%

“…We focused our analyses on the amygdala and AI, given evidence of their involvement in salience signaling, stress response, and psychotic and affective psychopathology, but supplemented with whole-brain analyses given the known relevance of additional regions such as the temporoparietal junction and other insular subfields. 4 , 5 , 14 , 53 In addition, we paid special attention to effects of violent trauma exposures on salience signaling, given that such exposures are likely to have especially pathogenic effects on the development of this brain network. 52 , 54 , 55 We operationalized unvalenced surprising outcomes in two complementary ways: parametrically, quantified as the magnitude of the unsigned PE, or degree of mismatch between expectation and outcome irrespective of its direction; and nonparametrically, as the binary presence (vs absence) of a mismatch between the expected and unexpected outcome.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Linking Salience Signaling With Early Adversity and Affective Distress in Individuals at Clinical High Risk for Psychosis: Results From an Event-Related fMRI Study

Millman

Schiffman

Gold

et al. 2022

Schizophrenia Bulletin Open

View full text Add to dashboard Cite

Evidence suggests dysregulation of the salience network in individuals with psychosis, but few studies have examined the intersection of stress exposure and affective distress with prediction error (PE) signals among youth at clinical high-risk (CHR). Here, 26 individuals at CHR and 19 healthy volunteers (HVs) completed a monetary incentive delay task in conjunction with fMRI. We compared these groups on the amplitudes of neural responses to surprising outcomes – PEs without respect to their valence – across the whole brain and in two regions of interest, the anterior insula and amygdala. We then examined relations of these signals to the severity of depression, anxiety, and trauma histories in the CHR group. Relative to HV, youth at CHR presented with aberrant PE-evoked activation of the temporoparietal junction and weaker deactivation of the precentral gyrus, posterior insula, and associative striatum. No between-group differences were observed in the amygdala or anterior insula. Among youth at CHR, greater trauma histories were correlated with stronger PE-evoked amygdala activation. No associations were found between affective symptoms and the neural responses to PE. Our results suggest that unvalenced PE signals may provide unique information about the neurobiology of CHR syndromes and that early adversity exposure may contribute to neurobiological heterogeneity in this group. Longitudinal studies of young people with a range of risk syndromes are needed to further disentangle the contributions of distinct aspects of salience signaling to the development of psychopathology.

show abstract

Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Linking Salience Signaling With Early Adversity and Affective Distress in Individuals at Clinical High Risk for Psychosis: Results From an Event-Related fMRI Study

Millman

Schiffman

Gold

et al. 2022

Schizophrenia Bulletin Open

View full text Add to dashboard Cite

show abstract

“…These efference copies may include inferences of another's mental states arising from theory of mind regions or semantic information from language-relevant regions (Figure 1A). Supporting this, several neuroimaging studies find that the posterolateral cerebellum, particularly lobules VI-VIII, represents sociolinguistic predictions and prediction errors (Moberget and Ivry, 2016;Ernst et al, 2019;Van Overwalle et al, 2019;Corlett et al, 2022). Neuromodulation of these regions perturbs predictive language behaviors and social sequencing (Lesage et al, 2012(Lesage et al, , 2017D'Mello et al, 2017;Van Overwalle et al, 2020).…”

Section: Adaptive Prediction In the Cerebellum: From Neurons To Networkmentioning

confidence: 85%

“…In addition, climbing fibers from the inferior olive provide prediction error signals to Purkinje cells, which distinguish which granule cell inputs are most informative. These prediction errors can be signed or unsigned, signaling exactly how cerebellar Purkinje cells should respond to alter behavior (see Corlett et al, 2022 for evidence of prediction error in human cerebellum). Inputs from climbing fibers can cause long-term depression (LTD) at parallel fiber-Purkinje cell synapses-potentially serving to inhibit actions Buckner et al, 2011;Yeo et al, 2011; other networks visualized include dorsal (green) and ventral attention (violet), somatomotor (blue), visual (purple), and limbic (cream)).…”

Section: Adaptive Prediction In the Cerebellum: From Neurons To Networkmentioning

confidence: 99%

Cerebellar Contributions to Social Cognition in ASD: A Predictive Processing Framework

Frosch

Mittal

D’Mello

2022

Front. Integr. Neurosci.

View full text Add to dashboard Cite

Functional, structural, and cytoarchitectural differences in the cerebellum are consistently reported in Autism Spectrum Disorders (ASD). Despite this, the mechanisms governing cerebellar contributions to ASD, particularly within the sociocognitive domain, are not well understood. Recently, it has been suggested that several core features of ASD may be associated with challenges creating and using prior expectations or predictions to rapidly adapt to changing stimuli or situations, also known as adaptive prediction. Importantly, neuroimaging, clinical, and animal work find that the cerebellum supports adaptive prediction in both motor and non-motor domains. Perturbations to the cerebellum via injury or neuromodulation have been associated with impairments in predictive skills. Here, we review evidence for a cerebellar role in social cognition and adaptive prediction across individuals with and without ASD.

show abstract

“…However, anatomical deviations which are "categorical" errors and uncommon in real life, may be computed in more frontal regions relating to high level prediction errors (Alexander & Brown, 2018;Corlett et al, 2022).…”

Section: Divergent Neural Processing For Temporal and Anatomical Conf...mentioning

confidence: 99%

Disentangling the Neural Correlates of Agency, Ownership and Multisensory Processing

Harduf

Shaked

Ulmer-Yaniv

et al. 2022

Preprint

View full text Add to dashboard Cite

The experience of the self as an embodied agent in the world is an essential aspect of human consciousness. This experience arises from the feeling of control over one's bodily actions, termed the Sense of Agency (SoA), and the feeling that the body belongs to the self, Body Ownership (BO). Despite long-standing philosophical and scientific interest in the relationship between the body and brain, the neural systems involved in SoA and BO and especially their interactions, are not yet understood. In this preregistered study using the Moving Rubber Hand Illusion inside an MR-scanner, we aimed to uncover the relationship between BO & SoA in the human brain. Importantly, by using both visuomotor and visuotactile stimulations and measuring online trial-by-trial fluctuations in the illusion magnitude, we were able to disentangle brain systems related to objective sensory stimulation and subjective judgments of the bodily-self. Our results indicate that at both the behavioral and neural levels, BO and SoA are strongly interrelated. Multisensory regions in the occipital and fronto-parietal regions encoded convergence of sensory stimulation conditions. However, the subjective judgments of bodily-self were also related to BOLD fluctuations in regions not activated by the sensory conditions such as the insular cortex and precuneus. Our results highlight the convergence of multisensory processing in specific neural systems for both BO and SoA with partially dissociable regions for subjective judgments in regions of the default mode network.

show abstract

Meta-analysis of human prediction error for incentives, perception, cognition, and action

Cited by 61 publications

References 68 publications

Linking Salience Signaling With Early Adversity and Affective Distress in Individuals at Clinical High Risk for Psychosis: Results From an Event-Related fMRI Study

Linking Salience Signaling With Early Adversity and Affective Distress in Individuals at Clinical High Risk for Psychosis: Results From an Event-Related fMRI Study

Cerebellar Contributions to Social Cognition in ASD: A Predictive Processing Framework

Disentangling the Neural Correlates of Agency, Ownership and Multisensory Processing

Contact Info

Product

Resources

About