Belief updating in psychosis, depression and anxiety disorders: A systematic review across computational modelling approaches

Gibbs-Dean, Toni; Katthagen, Teresa; Tsenkova, Iveta; Ali, Rubbia; Liang, Xiaofang; Spencer, Thomas; Diederen, Kelly

doi:10.1016/j.neubiorev.2023.105087

Cited by 19 publications

(10 citation statements)

References 121 publications

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“…Task-based measures of perceptual inference are often used as trait-like characteristics to assess the relationship with clinical symptoms across a spectrum of disorders such as schizophrenia (Deserno et al, 2020;Schlagenhauf et al, 2014;Weilnhammer et al, 2020) and autism spectrum disorder (Kreis et al, 2021;Randeniya et al, 2021), as well as their non-clinical trait-like correlates (Goodwin et al, 2022;Kreis et al, 2020). Mounting evidence for the reliability of distinct perceptual phenotypes across task-based measures of cognition support an important development in the translation of computational measures to clinical practice, particularly as a diagnostic tool in psychiatric research (Gibbs-Dean et al, 2023;Leeuwen et al, 2020). For this translation to be effective, the reliability of such measures of perceptual inference should also be established in clinical populations before empirical use.…”

Section: Discussionmentioning

confidence: 99%

“…In turn, it also aids a phenomenological explanation for how aberrancies in the precision afforded to different types of information may characterise altered perceptual experiences (Hohwy, 2020). Whilst these aberrancies in belief updating are thought to underlie symptoms of psychopathology and trait-like correlates in non-clinical populations (Fromm et al, 2023;Gibbs-Dean et al, 2023;Karvelis et al, 2022), the assumption that individual differences in belief updating can be characterizable as a stable, trait-like phenotype is yet to be verified. This can offer valuable insight into the cognitive mechanisms underpinning behaviour (Tulver et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…In this view, differences in perceptual inference can be conceptualised across a continuum from trait-level alterations in the general population, into to TEMPORAL STABILITY OF BAYESIAN BELIEF UPDATING 3 more severe aberrancies in clinical disorders. This is particularly important in understanding the development and trajectory of disorders, integrating a transdiagnostic approach into understanding symptomatology (Gibbs-Dean et al, 2023;Lyndon & Corlett, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Temporal Stability of Bayesian Belief Updating in Perceptual Decision Making

Goodwin¹,

Hester²,

Garrido³

2023

Preprint

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Bayesian inference suggests that perception is inferred from a weighted integration of prior contextual beliefs with current sensory evidence (likelihood) about the world around us. The perceived precision or uncertainty associated with prior and likelihood information is used to guide perceptual decision making, such that more weight is placed on the source of information with greater precision. This provides a framework for understanding a spectrum of clinical transdiagnostic symptoms associated with aberrant perception, as well as individual differences in the general population. Whilst behavioural paradigms are commonly used to characterise individual differences in perception as a trait-like characteristic, measurement reliability in these behavioural tasks is rarely assessed. To remedy this gap, we empirically evaluate the reliability of a perceptual decision-making task that quantifies individual differences in Bayesian belief updating in terms of the relative precision weighting afforded to prior and likelihood information (i.e., sensory weight). We analysed data from participants (n = 37) who performed this task twice. We found that the precision afforded to prior and likelihood information showed high internal consistency and good test re-test reliability (ICC = 0.86, 95%CI[0.72, 0.93]) when averaged across participants, as well as at the individual level using hierarchical modelling. Our results provide support for the assumption that Bayesian belief updating operates as a stable, trait-like characteristic in perceptual decision making. We discuss the utility and applicability of reliable perceptual decision-making paradigms as a measure of individual differences in the general population, as well as a diagnostic tool in psychiatric research.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Temporal Stability of Bayesian Belief Updating in Perceptual Decision Making

Goodwin¹,

Hester²,

Garrido³

2023

Preprint

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“…The drift rate is reduced in paranoia and anxiety, which may contribute to impairment in such processes 91 , 92 . However, other factors, such as altered belief updating and negativity bias, also play significant role 15 , 93 , 94 . Thus, the impact of reduced drift rates on the tendency to delegate decisions to the CDC may diverge in individuals with elevated levels of paranoia and anxiety.…”

Section: Introductionmentioning

confidence: 99%

Information processing style and institutional trust as factors of COVID vaccine hesitancy

Zhao,

Russell,

Jankovsky

et al. 2024

Sci Rep

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This study investigates the factors contributing to COVID vaccine hesitancy. Vaccine hesitancy has commonly been attributed to susceptibility to misinformation and linked to particular socio-demographic factors and personality traits. We present a new perspective, emphasizing the interplay between individual cognitive styles and perceptions of public health institutions. In January 2020, before the COVID-19 pandemic, 318 participants underwent a comprehensive assessment, including self-report measures of personality and clinical characteristics, as well as a behavioral task that assessed information processing styles. During 2021, attitudes towards vaccines, scientists, and the CDC were measured at three time points (February–October). Panel data analysis and structural equation modeling revealed nuanced relationships between these measures and information processing styles over time. Trust in public health institutions, authoritarian submission, and lower information processing capabilities together contribute to vaccine acceptance. Information processing capacities influenced vaccination decisions independently from the trust level, but their impact was partially mediated by authoritarian tendencies. These findings underscore the multifactorial nature of vaccine hesitancy, which emerges as a product of interactions between individual cognitive styles and perceptions of public health institutions. This novel perspective provides valuable insights into the underlying mechanisms that drive this complex phenomenon.

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“…Patients with new cases in Bandung that appear every year are around 0.01%. (Kompas, Desember 2008); (Arnold et al, 2021;Gibbs-Dean et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

The Relationship of Family Support With Medication Compliance in Acute Psychotic Patients

Rismanto

2024

AJESH

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The aim of this study was to determine the relationship between family support and medication adherence in acutely psychotic patients. This research is a quantitative research. The results showed that the lower the emotional support from the family, the lower the adherence to taking medication in acute psychotic patients. The lower the family support in the esteem support aspect, the lower the medication adherence in acute psychotic patients. The lower the family support in the instrumental support aspect, the lower the medication adherence in acute psychotic patients. The lower the family support in the informational support aspect, the lower the medication adherence in acute psychotic patients. Of the four aspects of family support, the emotional support aspect has the highest correlation with adherence to taking medication in acute psychotic patients while the one with the lowest correlation is the instrumental support aspect in acute psychotic patients at the Bandung Mental Hospital.

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Belief updating in psychosis, depression and anxiety disorders: A systematic review across computational modelling approaches

Cited by 19 publications

References 121 publications

Temporal Stability of Bayesian Belief Updating in Perceptual Decision Making

Temporal Stability of Bayesian Belief Updating in Perceptual Decision Making

Information processing style and institutional trust as factors of COVID vaccine hesitancy

The Relationship of Family Support With Medication Compliance in Acute Psychotic Patients

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