Affective experience and motivated behavior in schizophrenia spectrum disorders: Evidence from clinical and nonclinical samples.
Bibliographic record
Abstract
OBJECTIVE: Individuals with schizophrenia have been found to exhibit emotion-behavior decoupling, particularly with respect to anticipated, rather than experienced events. However, previous research has focused on how emotion valence translates into motivated behavior, ignoring the fact that emotion arousal should also modulate emotion-behavior coupling. Few studies have examined emotion-behavior coupling in prepsychotic conditions. This investigation aimed to examine the nature and extent of emotion valence- and arousal-behavior coupling across the schizophrenia spectrum. METHOD: We examine how emotional valence and arousal couple with behavior in 3 groups of individuals (25 individuals with chronic schizophrenia; 27 individuals early in the disease course, and 31 individuals reporting negative schizotypal symptoms). Participants completed a task using slides to elicit emotion and evoke motivated behavior. We compared participants with their respective matched control groups to determine differences in the correspondence between self-reported emotion valence/arousal and motivated behavior. RESULTS: Both groups with schizophrenia reported similar affective experiences as their controls, whereas individuals reporting negative schizotypal symptoms showed "in-the-moment" anhedonia but not emotion-behavior decoupling. In addition, the schizophrenia groups' affective experiences corresponded less well to their behavior relative to controls. CONCLUSIONS: Our findings suggest emotion-behavior decoupling along both valence and arousal dimensions in schizophrenia but not in participants with high levels of schizotypal symptoms. Findings appear to support the idea that emotion-behavior decoupling differs in nature and extent across the schizophrenia spectrum. Interventions to recouple emotion and behavior may be particularly helpful in allowing people with schizophrenia to gain functional independence. (PsycINFO Database Record
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".