Dynamics of task-based confidence in schizophrenia using seasonal decomposition approach.

Autor:	Badal VD; Department of Psychiatry, University of California San Diego, San Diego, CA, USA.; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, CA, USA., Depp CA; Department of Psychiatry, University of California San Diego, San Diego, CA, USA.; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, CA, USA.; VA San Diego Healthcare System, La Jolla, CA, USA., Pinkham AE; Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA., Harvey PD; Department of Psychiatry and Behavioral Sciences, University of Miami, Miller School of Medicine, Miami, FL, USA.; Research Service, Miami VA Healthcare System, USA.
Jazyk:	angličtina
Zdroj:	Schizophrenia research. Cognition [Schizophr Res Cogn] 2023 Jan 24; Vol. 32, pp. 100278. Date of Electronic Publication: 2023 Jan 24 (Print Publication: 2023).
DOI:	10.1016/j.scog.2023.100278
Abstrakt:	Objective: Introspective Accuracy (IA) is a metacognitive construct that refers to alignment of self-generated accuracy judgments, confidence, and objective information regarding performance. IA not only refers to accuracy and confidence during tasks, but also predicts functional outcomes. The consistency and magnitude of IA deficits suggest a sustained disconnect between self-assessments and actual performance. The cognitive origins of IA are unclear and are not simply due to poor performance. We tried to capture task and diagnosis-related differences through examining confidence as a timeseries. Method: This relatively large sample (N = 171; Bipolar = 71, Schizophrenia = 100) study used item by item confidence judgments for tasks including the Wisconsin Card Sorting Task (WCST) and the Emotion Recognition task (ER-40). Using a seasonal decomposition approach and AutoRegressive, Integrative and Moving Averages (ARIMA) time-series analyses we tested for the presence of randomness and perseveration. Results: For the WCST, comparisons across participants with schizophrenia and bipolar disorder found similar trends and residuals, thus excluding perseverative or random responding. However, seasonal components were weaker in participants with schizophrenia, reflecting a reduced impact of feedback on confidence. In contrast, for the ER40, which does not require identification of a sustained construct, seasonal, trend, and residual analyses were highly comparable. Conclusion: Seasonal analysis revealed that confidence judgments in participants with schizophrenia on tasks requiring responses to feedback reflected diminished incorporation of external information, not random or preservative responding. These analyses highlight how time series analyses can specify potential faulty processes for future intervention. Competing Interests: P.D.H. has received consulting fees or travel reimbursements from Alkermes, Bio Excel, Boehringer Ingelheim, Karuna Pharma, Minerva Pharma, SK Pharma, and Sunovion Pharma during the past year. He receives royalties from the Brief Assessment of Cognition in Schizophrenia (Owned by Verasci, Inc. and contained in the MCCB). He is chief scientific officer of i-Function, Inc. R.C.M. is a co-founder of KeyWise, Inc. and a consultant for NeuroUX. For the remaining authors, no conflicts of interest were declared. (© 2023 Published by Elsevier Inc.)
Databáze:	MEDLINE
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