Autonomic arousal during psychosis spectrum experiences: Results from a high resolution ambulatory assessment study over the course of symptom on- and offset

The experience sampling methodology in psychosis risk states: A systematic review

The experience sampling method (ESM) is a structured diary technique, which is used to assess thoughts, mood and appraise subjective experiences in daily life. It has been recognized as a useful tool for understanding the characteristics, dynamics, and underlying mechanisms of prodromal symptoms of psychosis. The present systematic review aimed to provide a qualitative synthesis of findings provided by the ESM studies conducted in people with psychosis risk states. A systematic review of the MEDLINE, ERIC, Academic Search Ultimate, and Health Source: Nursing/Academic Edition databases, utilizing search terms related to the ESM and the risk of psychosis was conducted. Out of 1069 publication records identified, 77 studies met the inclusion criteria for the review. Data were synthesized around the following topics: 1) assessment of symptoms dynamics and social functioning; 2) assessment of the mechanisms contributing to the emergence of psychotic experiences and 3) assessment of stress sensitivity. The studies have shown that negative emotions are associated with subsequent development of paranoia. The tendency to draw hasty conclusions, aberrant salience, self-esteem, and emotion regulation were the most frequently reported mechanisms associated with the emergence of psychotic experiences. Studies using the ESM also provided evidence for the role of stress sensitivity, in the development of psychotic symptoms. The ESM has widely been applied to studies investigating psychosis risk states, using a variety of protocols. Findings from this systematic review might inform future studies and indicate potential targets for interventions.

Predicting the onset of psychotic experiences in daily life with the use of ambulatory sensor data - A proof-of-concept study

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.

Do deficits in subjective stress recovery predict subsequent stress sensitivity and symptoms in schizophrenia spectrum disorders?

High levels of stress play a crucial role in the development of psychotic symptoms, such as paranoia, and may stem in part from recovery deficits after stress exposure. However, it remains unclear whether deficient recovery causes a build-up of heightened stress levels that increases stress sensitivity and symptoms when exposed to another stressor. To test this, we investigated the effect of subjective stress recovery on the response to a subsequent stressor and paranoia. We applied two consecutive runs of the same combined physical and cognitive stressor separated by a recovery phase of 60 min in individuals with schizophrenia spectrum disorders (n = 49). We repeatedly assessed self-reported stress, negative affect, heart rate, heart rate variability, salivary cortisol, and paranoia. Recovery of self-reported stress was defined as the geometric mean of the percentage changes of self-reported stress during recovery after the first stressor, and was regressed on the response to the second stressor controlling for self-reported stress during the first stressor. Lower subjective stress recovery predicted higher levels of self-reported stress, negative affect, and paranoia in response to the second stressor. The subjective stress recovery was not predictive of the physiological stress response (heart rate, heart rate variability, or salivary cortisol). Taken together, the findings indicate that recovery deficits could contribute to high levels of self-reported stress, negative affect, and paranoia in schizophrenia spectrum disorders and that the improvement of stress recovery could be a promising approach for interventions.

Predictors of paranoia in the daily lives of people with non-affective psychosis and non-clinical controls: A systematic review of intensive longitudinal studies

BACKGROUND AND OBJECTIVES

Worrying, self-esteem, sleep problems, anomalous internal experiences, reasoning biases, and interpersonal sensitivity are associated with paranoia. However, no review has examined whether these variables function as predictors of paranoia in everyday life. The present systematic review of intensive longitudinal studies (e.g., experience sampling) examined contemporaneous and time-lagged associations between paranoia and each candidate mechanism in individuals with non-affective psychosis and controls (pre-registration: https://osf.io/uwr9d).

METHODS

We searched electronic databases, PsyArXiv, and reference lists for studies published since 1994.

RESULTS

Of n = 5,918 results, n = 54 fulfilled inclusion criteria (n = 43 datasets). Most studies examined individuals with non-affective psychosis (n = 34). Strong evidence emerged for negative affect (subsumed under 'anomalous internal experiences') and sleep problems. For self-esteem, results suggest contemporaneous and lagged effects on paranoia but associations are likely driven by between-person variance. The low number of studies (n = 2 studies each) allowed no conclusions regarding worrying and reasoning biases. Findings on interpersonal sensitivity, which should be interpreted with caution because of the predictor's conceptual overlap with paranoia, indicate contemporaneous effects whereas time-lagged and within-person associations could not be judged due to insufficient data.

LIMITATIONS

The present review used a narrative data-synthetization and it did not cover outcomes such as hallucinations.

CONCLUSIONS

Despite convincing evidence for affect and sleep problems, it remains unclear whether affective states are precursors or also consequences of paranoia (vicious circle), and which of the actigraphy measures (sleep time, -efficiency, -fragmentation, etc.) best predicts paranoia.

The use of adaptive emotion regulation strategies in people with attenuated psychotic symptoms - Results from a two-week diary study

BACKGROUND

Prior research has shown that negative emotion constitutes a trigger for psychosis. This effect is further amplified by using maladaptive emotion regulation strategies. In contrast, the role of adaptive emotion regulation strategies is less clear despite its potential for informing interventions and prevention efforts. In this study, we investigated whether the decreased use of adaptive emotion regulation strategies in daily life is associated with an elevated risk of psychosis.

METHODS

Participants reporting a lifetime prevalence of attenuated psychotic symptoms (AS; n = 43) and comparison participants without attenuated psychotic symptoms (n = 40) completed a 14-day diary study with one daily assessment of adaptive emotion regulation (ER) strategies ranging from tolerance-based ER-strategies (e.g., understanding, constructively directing attention) to change-focused ER-strategies (e.g., modification, effective self-support). We tested for group differences in adaptive ER-strategies use with multilevel models.

RESULTS

AS used multiple tolerance-based adaptive ER-strategies (acceptance, understanding, clarity, directing attention) less frequently in daily life. However, only a single change-focused adaptive ER-strategy (modification) showed consistently lower utilization rates in AS.

CONCLUSION

People with an elevated risk of psychosis use various adaptive ER-strategies focusing on comprehending and accepting negative emotions less frequently. Fostering these strategies with targeted interventions could promote resilience against transitioning into psychosis.

Formalising social representation to explain psychiatric symptoms

Recent work in social cognition has moved beyond a focus on how people process social rewards to examine how healthy people represent other agents and how this is altered in psychiatric disorders. However, formal modelling of social representation has not kept pace with these changes, impeding our understanding of how core aspects of social cognition function, and fail, in psychopathology. Here, we suggest that belief-based computational models provide a basis for an integrated sociocognitive approach to psychiatry, with the potential to address important but unexamined pathologies of social representation, such as maladaptive schemas and illusory social agents.

The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders

In the last few years, many educational and therapeutic interventions for young people with neurodevelopmental disorders are based on systematic monitoring of the outcomes. These interventions are typically conducted using single-case experimental designs, (SCEDs) a set of methods aimed at testing the effect of an intervention on a single subject or a small number of subjects. In SCEDs, an effective process of decision-making needs accurate, precise, and reliable data but also that caregivers and health professionals can gather information with minimal effort. The use of Information Communication Technologies in SCEDs can support the process of data collection and analysis, facilitating the collection of accurate and reliable data, providing reports accessible also by non-experts, and promoting interactions and sharing among clinicians, educators, and caregivers. The present paper introduces the BEHAVE application, a web-based highly customizable application, designed to implement SCEDs, supporting both data collection and automatic analysis of the datasets. Moreover, the paper will describe two case studies of kindergarten children with neurodevelopmental disorders, highlighting how the BEHAVE application supported the entire process, from data collection in multiple contexts to decision-making based on the analysis provided by the system. In particular, the paper describes the case studies of Carlo and Dario, two children with severe language and communication impairments, and the inclusive education interventions carried out to maximize their participation in a typical home and school setting increasing their mand repertoire. Results revealed an increase in the mand repertoire in both children who become able to generalize the outcomes to multiple life contexts. The active participation of the caregivers played a crucial role in the ability of children to use the learned skills in settings different from the ones they were learned in.

Recovery After Stress-Autonomic and Subjective Arousal in Individuals With Psychosis Compared to Healthy Controls

BACKGROUND AND HYPOTHESIS

Heightened stress levels in individuals with psychosis (PSY) are associated with psychotic symptom occurrence and may be partially attributed to well-established deficits in resting-state heart rate variability (HRV) and emotion regulation. In healthy participants, resting-state HRV and self-reported emotion regulation skills have been linked to recovery after a stressor; however, it is unclear whether stress recovery is altered in PSY. Thus, we compared the autonomic and subjective recovery of PSY to healthy controls (HC) and investigated the predictive value of resting-state HRV and emotion regulation skills.

STUDY DESIGN

We assessed resting-state HRV and self-reported emotion regulation one week prior to a combined physical and cognitive stress induction. After the stress exposure, we assessed the autonomic (decrease in heart rate [HR], increase in HRV) and subjective (decrease in subjective stress and negative affect) recovery in PSY (n = 50) and HC (n = 50) over 60 min.

STUDY RESULTS

Repeated-measures ANOVA revealed the expected interaction of time × group for subjective stress but not negative affect or autonomic stress. Resting-state HRV predicted recovery of HR, and emotion regulation skills predicted recovery of HRV but not of the other parameters.

CONCLUSIONS

Although subjective stress recovery was delayed in PSY, the absence of autonomic recovery deficits suggests that a prolonged stress response may not contribute to heightened stress levels to the expected extent. Improving resting-state HRV and emotion regulation may support autonomic recovery, but further investigation is required to test the impact of such improvements on psychotic symptoms.

Translating affective and cognitive mechanisms of psychotic symptoms into better therapies

For a long time, psychotic symptoms were seen as too different from normal experiences to be explicable by psychological theories, let alone modifiable by psychological therapy. In the 1990s, the epidemiological research pointing to a continuum of psychotic symptoms and the clinical success in using cognitive approaches for psychosis strongly challenged this view. This inspired the field - along with my own work - to focus on a better understanding of the psychological mechanisms of psychotic symptoms in order to develop increasingly effective interventions. Together with other researchers, I have found that negative affect and aberrant arousal play a crucial role in the formation of delusions where they appear to interact with more fundamental problems in belief updating. While our understanding of the basic mechanisms that drive psychotic symptoms is gaining precision, the challenge remains to find the most suitable ways of targeting these mechanisms.

Digital phenotyping in psychiatry: A scoping review

BACKGROUND

Digital phenotyping has been defined as the moment-by-moment assessment of an illness state through digital means, promising objective, quantifiable data on psychiatric patients' conditions, and could potentially improve diagnosis and management of mental illness. As it is a rapidly growing field, it is to be expected that new literature is being published frequently.

OBJECTIVE

We conducted this scoping review to assess the current state of literature on digital phenotyping and offer some discussion on the current trends and future direction of this area of research.

METHODS

We searched four databases, PubMed, Ovid MEDLINE, PsycINFO and Web of Science, from inception to August 25th, 2021. We included studies written in English that 1) investigated or applied their findings to diagnose psychiatric disorders and 2) utilized passive sensing for management or diagnosis. Protocols were excluded. A narrative synthesis approach was used, due to the heterogeneity and variability in outcomes and outcome types reported.

RESULTS

Of 10506 unique records identified, we included a total of 107 articles. The number of published studies has increased over tenfold from 2 in 2014 to 28 in 2020, illustrating the field's rapid growth. However, a significant proportion of these (49% of all studies and 87% of primary studies) were proof of concept, pilot or correlational studies examining digital phenotyping's potential. Most (62%) of the primary studies published evaluated individuals with depression (21%), BD (18%) and SZ (23%) (Appendix 1).

CONCLUSION

There is promise shown in certain domains of data and their clinical relevance, which have yet to be fully elucidated. A consensus has yet to be reached on the best methods of data collection and processing, and more multidisciplinary collaboration between physicians and other fields is needed to unlock the full potential of digital phenotyping and allow for statistically powerful clinical trials to prove clinical utility.

Verschwörungstheorien und paranoider Wahn: Lassen sich Aspekte kognitionspsychologischer Modelle zu Entstehung und Aufrechterhaltung von paranoiden Wahnüberzeugungen auf Verschwörungstheorien übertragen?

Der vorliegende narrative Übersichtsartikel stellt zunächst verschiedene Definitionen von Verschwörungstheorien und Verschwörungsmentalität vor und präsentiert Studien zu Zusammenhängen zwischen Persönlichkeitseigenschaften, Symptomen psychischer Störungen und Verschwörungstheorien. Anschließend werden die Kontinuumshypothese des Wahns sowie neuere Konzeptualisierungen von allgemeinem und paranoiden Wahn diskutiert, des Weiteren werden typische kognitionspsychologische Modelle präsentiert, die die Entstehung und Aufrechterhaltung von Wahnüberzeugungen durch eine Interaktion von biologischen Vulnerabilitätsfaktoren, psychologischen Faktoren und sozialen Faktoren erklären. In diesen Modellen mediieren sowohl kognitive Verarbeitungsstile („cognitive biases“) als auch emotionale Prozesse die Entstehung und Aufrechterhaltung von Wahn, beispielsweise die Tendenz, voreilige Schlussfolgerungen zu treffen („jumping to conclusions bias“), sowie externale Kontrollüberzeugungen und ein externalisierender personalisierender Kausalattributionsstil. Anschließend wird diskutiert, ob Menschen, die Verschwörungstheorien zugeneigt sind, ebenfalls ähnliche kognitive Verarbeitungsstile aufweisen, die auch bei Personen zu finden sind, die paranoiden Wahnüberzeugungen zustimmen und unter psychotischen Störungen leiden. Parallelen bestehen zwischen beiden Personengruppen beispielsweise im Hinblick auf eine Neigung zu externalen Kontrollüberzeugungen und einen external personalisierenden Kausalattributionsstil. Auch bestehen Ähnlichkeiten in der Neigung, voreilige Schlussfolgerungen zu treffen. Fragen nach Gemeinsamkeiten und Unterschieden zwischen beiden Phänomenen sollten in weiteren präregistrierten experimentellen Studien quer- sowie längsschnittlich untersucht werden. Möglicherweise könnten moderne niedrigschwellige Interventionsmethoden der kognitiven Verhaltenstherapie von Psychosen (CBTp) in die Beratung oder Prävention von Verschwörungstheorien implementiert werden.

Wearables in Schizophrenia: Update on Current and Future Clinical Applications

Schizophrenia affects 1% of the world population and is associated with a reduction in life expectancy of 20 years. The increasing prevalence of both consumer technology and clinical-grade wearable technology offers new metrics to guide clinical decision-making remotely and in real time. Herein, recent literature is reviewed to determine the potential utility of wearables in schizophrenia, including their utility in diagnosis, first-episode psychosis, and relapse prevention and their acceptability to patients. Several studies have further confirmed the validity of various devices in their ability to track sleep—an especially useful metric in schizophrenia, as sleep disturbances may be predictive of disease onset or the acute worsening of psychotic symptoms. Through machine learning, wearable-obtained heart rate and motor activity were used to differentiate between controls and patients with schizophrenia. Wearables can capture the autonomic dysregulation that has been detected when patients are actively experiencing paranoia, hallucinations, or delusions. Multiple platforms are currently being researched, such as Health Outcomes Through Positive Engagement and Self-Empowerment, Mobile Therapeutic Attention for Treatment-Resistant Schizophrenia, and Sleepsight, that may ultimately link patient data to clinicians. The future is bright for wearables in schizophrenia, as the recent literature exemplifies their potential to offer real-time insights to guide diagnosis and management.

Anxiety symptoms, rule learning, and cognitive flexibility in non-clinical psychosis

Individuals with psychotic-like experiences (PLEs) represent a critical group for improving the understanding of vulnerability factors across the psychosis continuum. A growing body of literature has identified functional deficits associated with PLEs. However, it is unclear if such deficits purely reveal the underlying psychosis vulnerability or if they are also linked with comorbid anxiety symptoms. Although anxiety disorders are often associated with impairments in psychosis-risk, symptoms of anxiety may facilitate executive functioning in certain psychosis groups. The Community Assessment of Psychic Experiences was completed to assess psychosis-like symptoms in a total of 57 individuals, and its median score was used to categorize PLE groups (high-PLE = 24, low-PLE = 33). Anxiety symptoms were measured via the Beck Anxiety Inventory, and cognitive flexibility was measured by the Penn Conditional Exclusion Test. The high-PLE group endorsed more anxiety symptoms, demonstrated poorer accuracy and efficiency on the cognitive task, and made more perseverative errors compared to the low-PLE group. Within the high-PLE group, higher levels of anxiety symptoms were associated with better performance and less perseverative errors compared to individuals with lower levels of anxiety symptoms. Conversely, greater anxiety symptoms were associated with poorer performance in the low-PLE group. Taken together, these findings provide a preliminary support for a potential psychosis vulnerability × anxiety symptom interaction. Given the interest in the psychosis continuum and potential treatment implications, the present findings warrant replication efforts.

Biocueing and ambulatory biofeedback to enhance emotion regulation: A review of studies investigating non-psychiatric and psychiatric populations

Over the last years, biofeedback applications are increasingly used to enhance interoceptive awareness and self-regulation, in psychiatry and beyond. These applications are used to strengthen emotion regulation skills by home training (ambulatory biofeedback) and real-time support in everyday life stressful situations (biocueing). Unfortunately, knowledge about the feasibility and effectivity of these applications is still scarce. Therefore, a systematic literature search was performed. In total, 30 studies (4 biocueing, 26 ambulatory biofeedback) were reviewed; 21 of these studies were conducted in non-psychiatric samples and 9 studies in psychiatric samples. Study characteristics, biofeedback characteristics, effectivity and feasibility outcomes were extracted. Despite the rapid advances in wearable technology, only a few biocueing studies were found. In the majority of the studies significant positive effects were found on self-reported (stress-related) psychological measures. Significant improvements on physiological measures were also reported, though these measures were used less frequently. Feasibility of the applications was often reported as sufficient, though not adequately assessed in most studies. Taken into account the small sample sizes and the limited quality of the majority of the studies in this recently emerging field, biocueing and ambulatory biofeedback interventions showed promising results. Future research is expected to be focusing on biocueing as a just-in-time adaptive intervention. To establish this research field, closer cooperation between research groups, use of more rigorous as well as individually tailored research designs and more valid feasibility and effectivity assessment are recommended.

Linking psychophysiological adaptation, emotion regulation, and subjective stress to the occurrence of paranoia in daily life

As stress is relevant to the formation of paranoia, maladaptive behavioral and physiological stress regulation is discussed as a crucial indicator of vulnerability. This is supported by research linking psychosis to the tendency to make less use of functional and more use of dysfunctional emotion regulation strategies (ER) and with a lower vagally-mediated heart rate variability (HRV). However, it remains unclear whether ER serves as a mediator between resting-state HRV on the one hand and subjective stress levels and paranoia on the other and whether this is specific to paranoia as compared to depression. We used an experience sampling method during seven days to repeatedly assess the experience of stress, usage of ER strategies, paranoia und depression (9/day) in a sample with subclinical positive symptoms (N = 32). Resting-state HRV was measured during a 5min interval in the laboratory. Data was analyzed by multi-level models. Higher resting-state HRV was predictive of lower stress-levels and of using more functional ER strategies (reappraisal, acceptance) in daily life, but did not predict the use of dysfunctional strategies (rumination, suppression) or paranoia. The association between resting-state HRV and stress was mediated by the usage of functional ER. Less functional and more dysfunctional ER were linked to higher levels of stress, paranoia and depression. Our study highlights that deficits in ER represent a link between psychophysiological and phenomenological aspects of paranoia but also of depression. This encourages to further investigate transdiagnostic prevention and therapy programs aiming to improve ER and to increase HRV.

Paranoia, sensitization and social inference: findings from two large-scale, multi-round behavioural experiments

The sensitization model suggests that paranoia is explained by over-sensitivity to social threat. However, this has been difficult to test experimentally. We report two preregistered social interaction studies that tested (i) whether paranoia predicted overall attribution and peak attribution of harmful intent and (ii) whether anxiety, interpersonal sensitivity and worry predicted the attribution of harmful intent. In Study 1, we recruited a large general population sample (N = 987) who serially interacted with other participants in multi-round dictator games and matched to fair, partially fair or unfair partners. Participants rated attributions of harmful intent and self-interest after each interaction. In Study 2 (N = 1011), a new sample of participants completed the same procedure and additionally completed measures of anxiety, worry and interpersonal sensitivity. As predicted, prior paranoid ideation was associated with higher and faster overall harmful intent attributions, whereas attributions of self-interest were unaffected, supporting the sensitization model. Contrary to predictions, neither worry, interpersonal sensitivity nor anxiety was associated with harmful intent attributions. In a third exploratory internal meta-analysis, we combined datasets to examine the effect of paranoia on trial-by-trial attributional changes when playing fair and unfair dictators. Paranoia was associated with a greater reduction in harmful intent attributions when playing a fair but not unfair dictator, suggesting that paranoia may also exaggerate the volatility of beliefs about the harmful intent of others.