Diminished expression of speech is a pernicious feature of both schizophrenia and schizotypy--defined as the personality organization reflecting a putative genetic schizophrenia liability. As yet, the mechanism underlying diminished expression is unclear. We tested the hypothesis that diminished expression reflects a cognitive resource issue--that is, as cognitive resources are depleted, expression becomes diminished in individuals with psychometrically defined schizotypy. Acoustic analysis of natural speech was procured during experimentally manipulated baseline and high cognitive-load dual tasks and examined in 38 individuals with psychometrically defined schizotypy and 34 controls. For both groups, expression significantly decreased as a function of increased task demands, although there were no group differences in expression or magnitude of change across baseline to high cognitive-load conditions. Participants with self-reported constricted affect showed significant reductions in expression under high-load versus baseline speaking conditions relative to other schizotypal and control participants. Moreover, psychometrically defined schizotypal participants with poor cognitive performance on the high-load task, suggestive of depleted cognitive resources, also showed expressivity reductions compared with other participants. These findings suggest that diminished expression occurs as a function of limited cognitive resources in psychometrically defined schizotypy.
Diminished expression is a diagnostic feature of a range of schizophrenia-spectrum disorders/conditions and is often unresponsive to treatment, is present across premorbid, first episode and various clinical states, and is considered a poor prognostic indicator. Surprisingly, little is known about diminished expression. The present study sought to address this issue by evaluating a commercially-available computerized facial analysis software for understanding diminished expressivity. We analyzed natural facial expression from a series of laboratory interaction tasks in 28 individuals with psychometric schizotypy – defined as the personality organization reflecting a putative genetic schizophrenia liability, and 26 matched controls. We evaluated (a) feasibility – defined in terms of the number of video frames recognized by the software, (b) reliability – defined in terms of correlations between facial expression variables across the three laboratory interactions, and (c) construct validity – defined in terms of relationships to clinical variables. For most subjects (~ 80%), approximately three-quarters of the video frames were analyzable by the software; however, a minority of the videos was essentially unreadable. The facial expression variables showed excellent reliability across interaction conditions. In terms of construct validity, facial expression variables were significantly related to a measure of psychoticism, tapping subjective cognitive concerns and “first-rank” schizophrenia symptoms, but were generally not different between groups. Facial expression variables were generally not significantly related to measures of depression, anxiety, paranoia or, surprisingly, self-reported negative schizotypy. While computerized facial analysis appears to be a reliable and promising method of understanding diminished expressivity across the schizophrenia-spectrum, some work remains. Implications are discussed.
Vocal expression reflects an integral component of communication that varies considerably within individuals across contexts and is disrupted in a range of neurological and psychiatric disorders. There is reason to suspect that variability in vocal expression reflects, in part, the availability of “on-line” resources (e.g., working memory, attention). Thus, understanding vocal expression is a potentially important biometric index of information processing, not only across but within individuals over time. A first step in this line of research involves establishing a link between vocal expression and information processing systems in healthy adults. The present study employed a dual attention experimental task where participants provided natural speech while simultaneously engaged in a baseline, medium or high nonverbal processing-load task. Objective, automated, computerized analysis was employed to measure vocal expression in 226 adults. Increased processing load resulted in longer pauses, fewer utterances, greater silence overall and less variability in frequency and intensity levels. These results provide compelling evidence of a link between information processing resources and vocal expression, and provide important information for the development of an automated, inexpensive and uninvasive biometric measure of information processing.
Introduction Ideas of reference (IOR), paranoia, and social anxiety are features of schizophrenia-spectrum disorders, which appear to be conceptually related; however, the precise nature of these relationships is unclear. These relationships may be partially explained by perceived intentionality (PI), a social-cognitive bias for perceiving other people’s actions during unpleasant situations as being directed at oneself in an intentionally malicious manner. Our primary aim was to examine the moderating role of PI on the relationships between IOR and paranoia, and between IOR and social anxiety amongst individuals with psychometrically-defined schizotypy. Methods We assessed IOR, paranoia, and social anxiety amongst individuals with psychometrically-defined schizotypy (n = 44) and controls (n = 36), and examined the moderating effects of PI within each group. Results As hypothesized, PI moderated the relationship between IOR and paranoia such that higher PI predicted higher levels of paranoia as IOR increased. Additionally, we found that PI moderated the relationship between IOR and social anxiety such that higher PI predicted lower levels of social anxiety as IOR increased. Discussion Theoretical and practical implications are discussed including the potential for assessing PI as a proxy for paranoia when clinicians suspect a client is underreporting paranoia due to positive impression management.
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