Search

Paranoia-like thoughts refer to heightened suspicions and unfounded beliefs about being watched or persecuted by others. Recent research has found a significant correlation between misophonia symptoms, a form of decreased sound tolerance, and paranoia-like thoughts, both of which are linked to heightened negative emotions in clinical and non-clinical populations. Notably, it has been observed that misophonia may also be associated with the tendency to attribute hostile intent to those producing triggering sounds, a feature consistent with paranoid ideation (i.e., perceptions of intentional harm). However, existing research is based on correlational data, limiting causal inference. Therefore, an online study involving a non-clinical sample (N = 487) employed an experimental approach to examine the relationship between misophonia symptoms, negative emotional response, and paranoia-like thoughts. Participants were randomly assigned to one of four task conditions, each related to exposure to different stimulus types: orofacial human-produced sounds, non-human sounds, sounds without visual context, or visuals devoid of sound. The results of mixed model ANOVA and mediation analysis revealed that exposure to common misophonia trigger sounds with a human-related visual context slightly, but not significantly, raised the levels of paranoia-like thoughts. However, it did lead to a significant increase in negative emotions, which, in turn, proved to be a significant mediator of an increase in paranoia-like thoughts. Conversely, exposure to non-human sounds or to only audio/visual stimuli either decreased both negative emotions and paranoia-like thoughts or showed no significant change. This emphasized the role of context and the involvement of negative emotional response to human-made sounds in amplifying paranoia-like thoughts. Importantly, this effect was observed in individuals who do not meet the provisional diagnostic criteria for misophonia, suggesting that symptoms of misophonia may extend beyond clinical diagnoses, with milder manifestations potentially being present within the general population., Competing Interests: Declaration of competing interest The authors have declared that there are no conflicts of interest in relation to the subject of this study., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Paranoia is a key feature of psychosis that can be highly debilitating. Theories of paranoia mostly interface with short-scale or cross-sectional data models, leaving the longitudinal course of paranoia underspecified., Methods: We develop an empirical characterisation of two aspects of paranoia - persecutory and referential delusions - in individuals with psychosis over 20 years. We examine delusional dynamics by applying a Graphical Vector Autoregression Model to data collected from the Chicago Follow-up Study (n = 135 with a range of psychosis-spectrum diagnoses). We adjusted for age, sex, IQ, and antipsychotic use., Results: We found that referential and persecutory delusions are central themes, supported by other primary delusions, and are strongly autoregressive - the presence of referential and persecutory delusions is predictive of their future occurrence. In a second analysis we demonstrate that social factors influence the severity of referential, but not persecutory, delusions., Implications: We suggest that persecutory delusions represent central, resistant states in the cognitive landscape, whereas referential beliefs are more flexible, offering an important window of opportunity for intervention. Our data models can be collated with prior biological, computational, and social work to contribute toward a more complete theory of paranoia and provide more time-dependent evidence for optimal treatment targets., Competing Interests: Declaration of competing interest None to declare., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Introduction: Predictive models of psychotic symptoms could improve ecological momentary interventions by dynamically providing help when it is needed. Wearable sensors measuring autonomic arousal constitute a feasible base for predictive models since they passively collect physiological data linked to the onset of psychotic experiences. To explore this potential, we investigated whether changes in autonomic arousal predict the onset of hallucination spectrum experiences (HSE) and paranoia in individuals with an increased likelihood of experiencing psychotic symptoms., Method: For 24 h of ambulatory assessment, 62 participants wore electrodermal activity and heart rate sensors and were provided with an Android smartphone to answer questions about their HSE-, and paranoia-levels every 20 min. We calculated random forests to detect the onset of HSEs and paranoia. The generalizability of our models was tested using leave-one-assessment-out and leave-one-person-out cross-validation., Results: Leave-one-assessment-out models that relied on physiological data and participant ID yielded balanced accuracy scores of 80 % for HSE and 66 % for paranoia. Adding baseline information about lifetime experiences of psychotic symptoms increased balanced accuracy to 82 % (HSE) and 70 % (paranoia). Leave-one-person-out models yielded lower balanced accuracy scores (51 % to 58 %)., Discussion: Using passively collectible variables to predict the onset of psychotic experiences is possible and prediction models improve with additional information about lifetime experiences of psychotic symptoms. Generalizing to new individuals showed poor performance, so including personal data from a recipient may be necessary for symptom prediction. Completely individualized prediction models built solely with the data of the person to be predicted might increase accuracy further., Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

It has been suspected that abnormalities in social inference (e.g., learning others' intentions) play a key role in the formation of persecutory delusions (PD). In this study, we examined the association between subclinical PD and social inference, testing the prediction that proneness to PD is related to altered social inference and beliefs about others' intentions. We included 151 participants scoring on opposite ends of Freeman's Paranoia Checklist (PCL). The participants performed a probabilistic advice-taking task with a dynamically changing social context (volatility) under one of two experimental frames. These frames differentially emphasised possible reasons behind unhelpful advice: (i) the adviser's possible intentions (dispositional frame) or (ii) the rules of the game (situational frame). Our design was thus 2 × 2 factorial (high vs. low delusional tendencies, dispositional vs. situational frame). We found significant group-by-frame interactions, indicating that in the situational frame high PCL scorers took advice less into account than low scorers. Additionally, high PCL scorers believed more frequently that incorrect advice was delivered intentionally and that such misleading behaviour was directed towards them personally. Overall, our results suggest that social inference in individuals with subclinical PD tendencies is shaped by negative prior beliefs about the intentions of others and is thus less sensitive to the attributional framing of adviser-related information. These findings may help future attempts of identifying individuals at risk for developing psychosis and understanding persecutory delusions in psychosis., Competing Interests: Declaration of competing interest The authors declare no conflicts of interest., (Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Identifying variables that influence daily-life fluctuations in auditory verbal hallucinations (AVHs) provides insight into potential mechanisms and targets for intervention. Network analysis, that uses time-series data collected by Experience Sampling Method (ESM), could be used to examine relations between multiple variables over time., Methods: 95 daily voice-hearing individuals filled in a short questionnaire ten times a day for six consecutive days at pseudo-random moments. Using multilevel vector auto-regression, relations between voice-hearing and negative affect, positive affect, uncontrollable thoughts, dissociation, and paranoia were analysed in three types of networks: between-subjects (between persons, undirected), contemporaneous (within persons, undirected), and temporal (within persons, directed) networks. Strength centrality was measured to identify the most interconnected variables in the models., Results: Voice-hearing co-occurred with all variables, while on a 6-day period voice-hearing was only related to uncontrollable thoughts. Voice-hearing was not predicted by any of the factors, but it did predict uncontrollable thoughts and paranoia. All variables showed large autoregressions, i.e. mainly predicted themselves in this severe voice-hearing sample. Uncontrollable thoughts was the most interconnected factor, though relatively uninfluential., Discussion: Severe voice-hearing might be mainly related to mental state factors on the short-term. Once activated, voice-hearing appears to maintain itself. It is important to assess possible reactivity of AVH to triggers at the start of therapy; if reactive, therapy should focus on the triggering factor. If not reactive, Cognitive Behavioural interventions could be used first to reduce the negative effects of the voices. Limitations are discussed., Competing Interests: Declaration of competing interest None., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Introduction: Contextual factors representing chronic stressors, such as neighborhood crime characteristics, have been repeatedly linked to compromised mental and physical health, and may contribute to the pathologizing of normative/non-clinical experiences. However, the impact of such structural factors has seldom been incorporated in Clinical High Risk (CHR) for psychosis research. Understanding how context can influence the presence or severity of symptoms such as suspiciousness/paranoia may have important relevance for promoting valid and reliable assessment, as well as for understanding ways in which environment may be related to illness development and expression., Methods: A total of 126 adolescents and young adults (n CHR  = 63, n control  = 63) underwent clinical interviews for Clinical High-Risk syndromes. Neighborhood crime indices and socioeconomic status were calculated through geocoding and extracting of publicly available Census and Federal Bureau of Investigation (FBI) data. Analyses examined presence of associations between neighborhood crime indices, socioeconomic status, suspiciousness and total symptoms., Results: Greater neighborhood crime was related to increased suspiciousness in CHR individuals, even after controlling for neighborhood socioeconomic status, r = 0.27, p = .03. Neighborhood crime was not related to total symptoms, and neither was neighborhood socioeconomic status., Discussion: Results suggest neighborhood crime uniquely related to suspiciousness symptoms in CHR individuals, while this was not the case for healthy volunteers (HV). Future work will be critical for determining the extent to which assessors are pathologizing experiences that are normative for a particular context, or rather, if a stressful context is serving as a sufficient environmental stressor to unmask emerging psychosis., Competing Interests: Declaration of competing interest The authors report no conflicts of interest., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Introduction: Ecological momentary assessment (EMA) studies show that stressors trigger the onset or increase of psychotic symptoms. These studies, however, predominantly rely on large sampling intervals and self-report assessment. This study aims to identify the autonomic stress-response to psychosis-spectrum experiences by using a one-day high-resolution EMA with continuous skin conductance and heart rate monitoring in a sample with attenuated positive symptoms., Methods: Sixty-two participants were equipped with a smartphone and wearable sensors to monitor skin conductance level (SCL) and heart rate variability (HRV) for 24 h. Every 20 min, participants answered questions on current stress, hallucination spectrum experiences (HSE), and paranoia. Sampling intervals were categorized into no event, pre-onset, event, pre-offset, and post-offset phases. We contrasted stress, SCL, and HRV between phases using multilevel regression models of sampling intervals nested in participants., Results: For paranoia, we found alterations in the autonomic and self-reported stress response prior to the onset that persisted until the episodes had ended. For HSE, we found no effects. Exploratory separate analyses of the different items aggregated into HSE yielded diverging results for intrusive thoughts, perceptual sensitivity, and hallucinations., Conclusion: Physiological parameters are sensitive indicators of the onset of paranoia, which holds implications for preventive mobile interventions. To further explore the autonomic stress-response associated with HSE, further studies of the different HSE are needed., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: Higher liability to psychosis is associated with low self-esteem and increased sensitivity to social stress. Recently, we reported a positive relation between liability to psychosis and affective and psychotic responses to social stress. This study investigated how self-esteem moderates paranoia, peak subjective distress and stress reactivity of people with different psychosis liability in response to social stressors in virtual reality., Methods: Ninety-four individuals with lower (41 siblings and 53 controls) and 75 persons with higher psychosis liability (55 with recent onset psychotic disorder and 20 at ultra-high risk for psychosis) explored five times a virtual café with various social stressors (crowdedness, ethnic minority status, and hostility). They rated momentary paranoia (State Social Paranoia Scale) after each experiment and subjective distress on a visual analogue scale before and after the experiments. Positive and negative self-esteem were assessed with the Self-Esteem Rating Scale., Results: Momentary paranoia, peak subjective distress, and reactivity to social stressors were associated with negative self-esteem, but not positive self-esteem. Effects of both positive and negative self-esteem on psychotic and affective stress responses, but not stress reactivity, became significantly stronger when individuals were exposed to more stressful environments. Effects of self-esteem on momentary paranoia and peak subjective distress did not differ between the high liability and low liability group. Persons with lower psychosis liability had a stronger effect of negative self-esteem on stress reactivity than persons with higher liability., Conclusions: Positive and negative self-esteem may play an important role in affective and psychotic responses to social stress., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: Worry processes are implicated in paranoia and anxiety. However, clinical studies focused on patients with co-occurring paranoia and anxiety. As both paranoia and anxiety are distributed across clinical and non-clinical groups, an investigation on worry processes among non-clinical individuals will allow us to delineate the specific worry mechanisms in paranoia and anxiety respectively., Aims: To identify clusters of non-clinical individuals who report varied levels of paranoia and anxiety, and to compare worry processes across clusters., Method: An online survey, consisting of self-report questionnaires on generalized anxiety, paranoia, and worry processes, was completed by 2796 undergraduate students. A multiple-step validity check procedure resulted in a subsample of 2291 students, upon which cluster analyses and multivariate analyses of variance were conducted., Results: Four clusters of individuals were identified: (1) high paranoia/moderate anxiety, (2) average paranoia/high anxiety, (3) average paranoia/average anxiety, and (4) low paranoia/low anxiety. A unique cluster of individuals with high paranoia but low/average level of anxiety was not found. Cluster 1 reported a significantly higher intensity of day-to-day worries, a higher level of meta-worry, and more extreme meta-cognitive beliefs about worry than other clusters., Conclusions: Individuals with high paranoia tended to report anxiety as well, but not vice versa. Our findings supported a hierarchical structure of anxiety and paranoia. All worry processes were exacerbated in individuals with paranoia and anxiety than those with anxiety alone., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: People diagnosed with schizophrenia have difficulties in emotion recognition and theory of mind, and these may contribute to paranoia. The aim of this study was to determine whether this relationship is evident in patients residing in a secure forensic setting., Method: Twenty-seven male participants with a diagnosis of schizophrenia and a history of offending behaviour were assessed using The Awareness of Social Inference Test (TASIT), The Ambiguous Intentions Hostility Questionnaire (AIHQ) and The Green et al. Paranoid Thought Scales (G-PTS). Individuals were recruited from two medium secure and one high secure forensic hospital in Scotland., Results: Correlation, logistic and multiple regression analyses did not find that emotion recognition and theory of mind were associated with indices of paranoid thinking., Conclusion: Social cognition did not appear to be related to indices of paranoia in this forensic sample. Although participants reported low levels of paranoia overall, the results are consistent with recent conclusions that theory of mind impairments are not specifically linked to paranoia in people diagnosed with schizophrenia., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Schizophrenia (SZ) and autism spectrum disorder (ASD) share deficits in emotion processing. In order to identify convergent and divergent mechanisms, we investigated facial emotion recognition in SZ, high-functioning ASD (HFASD), and typically developed controls (TD). Different degrees of task difficulty and emotion complexity (face, eyes; basic emotions, complex emotions) were used. Two Benton tests were implemented in order to elicit potentially confounding visuo-perceptual functioning and facial processing. Nineteen participants with paranoid SZ, 22 with HFASD and 20 TD were included, aged between 14 and 33 years. Individuals with SZ were comparable to TD in all obtained emotion recognition measures, but showed reduced basic visuo-perceptual abilities. The HFASD group was impaired in the recognition of basic and complex emotions compared to both, SZ and TD. When facial identity recognition was adjusted for, group differences remained for the recognition of complex emotions only. Our results suggest that there is a SZ subgroup with predominantly paranoid symptoms that does not show problems in face processing and emotion recognition, but visuo-perceptual impairments. They also confirm the notion of a general facial and emotion recognition deficit in HFASD. No shared emotion recognition deficit was found for paranoid SZ and HFASD, emphasizing the differential cognitive underpinnings of both disorders., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Objective: Although several exploratory and confirmatory factor analyses have supported the initially proposed factor structure of the Schizotypal Personality Questionnaire (SPQ) in which its nine subscales are grouped into cognitive-perceptual, interpersonal, and disorganized domains, others have revealed different latent structures. This study determined the best-fitting factor structure from among five models that have been proposed in the literature, as well as five additional hierarchically related models., Methods: Undergraduate college students (n=825) completed the SPQ as well as the Perceptual Aberration Scale (PAS) and the Revised Social Anhedonia Scale (SAS). Confirmatory factor analyses involving the nine SPQ subscales were conducted using the Linear Structural Relations Program (LISREL 8.72)., Results: The best fitting model was a previously described 4-factor model including cognitive-perceptual, paranoid, negative, and disorganized domains. Correlations between the derived SPQ domains and the PAS score ranged r=.26-.39, and correlations between the SPQ domains and the SAS ranged r=.07-.41., Conclusions: The present findings support a 4-factor model over the standard 3-factor model that is typically used to derive SPQ subscale scores. The four derived domains are minimally to moderately correlated with other measures of psychosis-proneness.