Attentional biases in facial emotion processing in individuals at clinical high risk for psychosis.

Individuals at clinical high risk (CHR) for psychosis exhibit altered facial emotion processing (FEP) and poor social functioning. It is unclear whether FEP deficits result from attentional biases, and further, how these abnormalities are linked to symptomatology (e.g., negative symptoms) and highly comorbid disorders that are also tied to abnormal FEP (e.g., depression). In the present study, we employed an eye-tracking paradigm to assess attentional biases and clinical interviews to examine differences between CHR (N = 34) individuals and healthy controls (HC; N = 46), as well as how such biases relate to symptoms and functioning in CHR individuals. Although no CHR-HC differences emerged in attentional biases, within the CHR group, symptoms and functioning were related to biases. Depressive symptoms were related to some free-view attention switching biases (e.g., to and from fearful faces, r = .50). Negative symptoms were related to more slowly disengaging from happy faces (r = .44), spending less time looking at neutral faces (r = - .42), and more time looking at no face (Avolition, r = .44). In addition, global social functioning was related to processes that overlapped with both depression and negative symptoms, including time looking at no face (r = - .68) and free-view attention switching with fearful faces (r = - .40). These findings are consistent with previous research, indicating that negative symptoms play a prominent role in the CHR syndrome, with distinct mechanisms relative to depression. Furthermore, the results suggest that attentional bias indices from eye-tracking paradigms may be predictive of social functioning.

Computerized analysis of facial expression reveals objective indices of blunted facial affect.

Blunted affect is associated with severe mental illness, particularly schizophrenia. Mechanisms of blunted affect are poorly understood, potentially due to a lack of phenomenological clarity. Here, we examine clinician rated blunted affect and computerized facial metrics derived from ambulatory video assessment using machine learning. With high predictive accuracy (80-82%), we found that head orientation, eye movement, and facets of mouth movement were associated with clinical ratings of blunted affect. Features denoting larger muscle movements were associated with social cognition (R2 = 0.37) and cognition (R2 = 0.40). Findings provide potential insights on psychological and pathophysiological contributors to blunted affect.

Frontal alpha asymmetry in schizotypy: electrophysiological evidence for motivational dysfunction.

Introduction: Schizotypy is defined as personality traits reflecting an underlying risk for schizophrenia-spectrum disorders. As yet, there is a dearth of suitable objective markers for measuring schizotypy. Frontal alpha asymmetry, characterised by reduced left versus right frontal region activity, reflects trait-like diminished approach-related systems and has been found in schizophrenia. Methods: The present study used electroencephalography (EEG) recorded on a consumer-grade mobile headset to examine asymmetric resting-state frontal alpha, beta, and gamma power within the multidimensional schizotypy (e.g. positive, negative, disorganised) during a three-minute "eyes closed" resting period in college undergraduates (n=49). Results: Findings suggest that schizotypy was exclusively related to reduced left versus right-lateralised power in the alpha frequency (8.1-12.9 Hz., R2= .16). Follow-up analysis suggested that positive schizotypy was uniquely associated with increased right alpha activity, indicating increased withdrawal motivation. Conclusions: Frontal asymmetry is a possible ecologically valid objective marker for schizotypy that may be detectable using easily accessible, consumer-grade technology.

Psychiatric Risk Assessment from the Clinician's Perspective: Lessons for the Future.

Accurate prediction of risk-states in Serious Mental Illnesses (SMIs) is critical for reducing their massive societal burden. Risk-state assessments are notably inaccurate. Recent innovations, including widely available and inexpensive mobile technologies for ambulatory "biobehavioral" data, can reshape risk assessment. To help understand and accelerate clinician involvement, we surveyed 90 multi-disciplinary clinicians serving SMI populations in various settings to evaluate how risk assessment is conducted and can improve. Clinicians reported considerable variability in conducting risk assessment, and few clinicians explicated their procedures beyond tying it to broader mental status examinations or interviews. Very few clinicians endorsed using currently-available standardized risk measures, and most reported low confidence in their utility. Clinicians also reported spending approximately half the time conducting individual risk assessments than optimally needed. When asked about improvement, virtually no clinicians acknowledged biobehavioral, objective technologies, or ambulatory recording. Overall, clinicians seemed unaware of meaningful ways to improve risk assessment.

Blunted vocal affect and expression is not associated with schizophrenia: A computerized acoustic analysis of speech under ambiguous conditions.

INTRODUCTION: Patients with schizophrenia are consistently rated by clinicians as having high levels of blunted vocal affect and alogia. However, objective technologies have often failed to substantiate these abnormalities. It could be the case that negative symptoms are context-dependent. OBJECTIVES: The present study examined speech elicited under conditions demonstrated to exacerbate thought disorder. METHODS: The Rorschach Test was administered to 36 outpatients with schizophrenia and 25 nonpatient controls. Replies to separate "perceptual" and "memory" phases were analyzed using validated acoustic analytic methods. RESULTS: Compared to nonpatient controls, schizophrenia patients did not display abnormal speech expression on objective measure of blunted vocal affect or alogia. Moreover, clinical ratings of negative symptoms were not significantly correlated with objective measures. CONCLUSIONS: These findings suggest that in patients with schizophrenia, vocal affect/alogia is generally unremarkable under ambiguous conditions. Clarifying the nature of blunted vocal affect and alogia, and how objective measures correspond to what clinicians attend to when making clinical ratings are important directions for future research.

Cognitive functioning in schizotypy through the lens of the accessibility model.

INTRODUCTION: Individuals with schizotypy self-report subjective cognitive complaints commensurate with deficits reported by individuals with schizophrenia. In contrast to schizophrenia, objective deficits in memory are modest in individuals with schizotypy, as compared to their self-reported cognitive complaints. It has been proposed that abnormalities in semantic memory systems may underlie this dysjunction. METHODS: This study employed a modified verbal memory paradigm in a sample of 87 individuals with psychometrically defined schizotypy. Appraisals of memory performance were evaluated across global (i.e. drawing on semantic memory systems and assessing perceived typical performance) and situation-specific (i.e. drawing on episodic memory systems) epochs. Objective memory performance was assessed using a verbal recall paradigm. RESULTS: Individuals with schizotypy did not differ in situation-specific appraisals or in objective memory performance. Global appraisals of memory performance predicted negative and disorganised schizotypy scores. No other measure of memory performance predicted any facet of schizotypy. Individuals with schizotypy appraised their global memory performance higher than controls at a medium effect. CONCLUSIONS: Higher order global appraisals of cognitive performance, subsumed within semantic networks, may be important in the subjective-objective paradox in schizotypy, suggesting the importance of considering demand characteristics when assessing measures of neurocognitive performance in individuals with schizotypy.

A psychometric investigation of "macroscopic" speech measures for clinical and psychological science.

The analysis of vocal expression is a critical endeavor for psychological and clinical sciences and is an increasingly popular application for computer-human interfaces. Despite this, and despite advances in the efficiency, affordability, and sophistication of vocal analytic technologies, there is considerable variability across studies regarding what aspects of vocal expression are studied. Vocal signals can be quantified in a myriad of ways, and their underlying structure, at least with respect to "macroscopic" measures from extended speech, is presently unclear. To address this issue, we evaluated the psychometric properties-notably, the structural and construct validity-of a systematically defined set of global vocal features. Our analytic strategy focused on (a) identifying redundant variables among this set, (b) employing principal components analysis (PCA) to identify nonoverlapping domains of vocal expression, (c) examining the degrees to which the vocal variables are modulated as a function of changes in speech task, and (d) evaluating the relationship between the vocal variables and cognitive (i.e., verbal fluency) and clinical (i.e., depression, anxiety, and hostility) variables. Spontaneous speech samples from 11 independent studies of young adults (>60 s in length), employing one of three different speaking tasks, were examined (N = 1,350). Confounding variables (i.e., sex, ethnicity) were statistically controlled for. The PCA identified six distinct domains of vocal expression. Collectively, vocal expression (defined in terms of these domains) was modulated as a function of speech task and was related to the cognitive and clinical variables. These findings provide empirically grounded implications for the study of vocal expression in psychological and clinical sciences.

An examination of the language construct in NIMH's research domain criteria: Time for reconceptualization!

The National Institute of Mental Health's Research Domain Criteria (RDoC) Initiative "calls for the development of new ways of classifying psychopathology based on dimensions of observable behavior." As a result of this ambitious initiative, language has been identified as an independent construct in the RDoC matrix. In this article, we frame language within an evolutionary and neuropsychological context and discuss some of the limitations to the current measurements of language. Findings from genomics and the neuroimaging of performance during language tasks are discussed in relation to serious mental illness and within the context of caveats regarding measuring language. Indeed, the data collection and analysis methods employed to assay language have been both aided and constrained by the available technologies, methodologies, and conceptual definitions. Consequently, different fields of language research show inconsistent definitions of language that have become increasingly broad over time. Individually, they have also shown significant improvements in conceptual resolution, as well as in experimental and analytic techniques. More recently, language research has embraced collaborations across disciplines, notably neuroscience, cognitive science, and computational linguistics and has ultimately re-defined classical ideas of language. As we move forward, the new models of language with their remarkably multifaceted constructs force a re-examination of the NIMH RDoC conceptualization of language and thus the neuroscience and genetics underlying this concept. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.

Category fluency in psychometric schizotypy: how altering emotional valence and cognitive load affects performance.

INTRODUCTION: In clinical high-risk populations, category fluency deficits are associated with conversion to psychosis. However, their utility as clinical risk markers is unclear in psychometric schizotypy, a group experiencing schizophrenia-like traits that is at putative high risk for psychosis. METHODS: We examined whether introducing affective or cognitive load, two important stress vulnerability markers, altered category fluency performance in schizotypy (n = 42) and non-schizotypy (n = 38) groups. To investigate this question, we developed an experimental paradigm where all participants were administered category fluency tests across baseline, pleasant valence, unpleasant valence, and cognitive load conditions. RESULTS: Compared to the non-schizotypy group, those with schizotypy performed significantly worse in pleasant and unpleasant valence conditions, but not cognitive load or baseline fluency tests. CONCLUSIONS: This study demonstrated the role of affect - but not cognitive load - on category fluency in psychometric schizotypy, as group differences only emerged once affective load was introduced. One explanation for this finding is that semantic memory may be unimpaired under normal conditions in psychometric schizotypy, but may be compromised once affective load is presented. Future studies should examine whether fluency deficits - particularly when affect is induced - predict future conversion to psychosis in psychometric schizotypy cohorts.

Hedonic capacity and schizotypy: evidence for the criterion validity of the ACIPS.

The association between trait hedonic capacity and schizotypal personality traits was examined in a two studies of independent nonclinical samples. In both investigations, hedonic capacity was measured using the 17-item Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS). In Study One, the young adults' (n=1345) ACIPS scores were inversely associated with their scores on the Schizotypal Personality Questionnaire (SPQ). In Study Two, two groups of individuals identified on the basis of their scores on the Schizotypal Personality Questionnaire Brief-Revised (SPQ-BR) were compared in terms of their ACIPS responses and response patterns. Our results indicate that the high schizotypal subjects (n =38) and the low schizotypal subjects (n=37) differed significantly in terms of their mean ACIPS scores, but not in terms of their mean reaction times. Despite differences in study design, both investigations indicated an association between the No Close Friends subscale of the SPQ and the ACIPS total score. These findings are considered in the context of other extant studies of schizotypal traits and the role of anhedonia in schizotypy. Overall, the findings provide further evidence for the criterion validity of the ACIPS.

Conceptualizing schizotypal ambivalence: factor structure and its relationships.

Ambivalence is an important facet of pathology that has received limited attention despite its importance in understanding negative emotionality within schizophrenia spectrum disorders. Central to understanding the role of ambivalence in schizophrenia is characterizing its manifestation within schizotypal individuals-those with the purported genetic liability for schizophrenia. The present study used the Schizotypal Ambivalence Scale (SAS) to examine the nature of ambivalence. An exploratory factor analysis of SAS scores revealed three factors: interpersonal, indecision, and contradictory feelings of ambivalence. Group differences in SAS scores were found such that psychometrically defined schizotypal individuals reported higher levels of ambivalence than controls, and different schizotypy traits exhibited different relationships with SAS factors and quality of life. The inclusion of implicit and explicit measures of positive and negative attitudes revealed that individuals with schizotypy might lack insight into their affective experiences as suggested by the incongruence between our explicit and implicit measures of social attitudes. As hypothesized, the Schizotypal Personality Questionnaire trait dimensions associated with greater SAS ambivalence and the different trait dimensions of schizotypy showed both common and disparate relationships with the ambivalence factors. The current results support the notion that schizotypal ambivalence is a multifaceted construct that not only is affective but also reflects broader processes that dynamically interact with one another to influence functional outcomes.

Speech prosody abnormalities and specific dimensional schizotypy features: are relationships limited to male participants?

In schizophrenia, diminished vocal expressivity is associated with lower quality of life. Studies using computerized acoustic analysis of speech have found no evidence of diminished vocal prosody related to categorically defined schizotypy, a subclinical analogue of schizophrenia. However, existing studies have not examined the interaction between schizotypy and sex with vocal prosody measures. The current study examined 44 young adults (50% men) who were recruited to represent a continuous range of schizotypy. Speech samples were digitally recorded during autobiographical narratives and analyzed for prosody. In the male participants, variability of fundamental frequency and variability of intensity were each negatively related to the Schizotypal Personality Questionnaire (SPQ) ideas of reference subscale, whereas SPQ suspiciousness was related to a greater number of utterances, and SPQ odd behavior was related to a greater number of pauses. Because the relationships were restricted to men, and not significant in women, the results may explain earlier negative findings with schizotypy.

The moderating effects of perceived intentionality: exploring the relationships between ideas of reference, paranoia and social anxiety in schizotypy.

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 hypothesised, 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. CONCLUSION: 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.

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.

Technological advances in the assessment and understanding of speech and language within the domains of automatic speech recognition, natural language processing, and machine learning present a remarkable opportunity for psychologists to learn more about human thought and communication, evaluate a variety of clinical conditions, and predict cognitive and psychological states. These innovations can be leveraged to automate traditionally time-intensive assessment tasks (e.g., educational assessment), provide psychological information and care (e.g., chatbots), and when delivered remotely (e.g., by mobile phone or wearable sensors) promise underserved communities greater access to health care. Indeed, the automatic analysis of speech provides a wealth of information that can be used for patient care in a wide range of settings (e.g., mHealth applications) and for diverse purposes (e.g., behavioral and clinical research, medical tools that are implemented into practice) and patient types (e.g., numerous psychological disorders and in psychiatry and neurology). However, automation of speech analysis is a complex task that requires the integration of several different technologies within a large distributed process with numerous stakeholders. Many organizations have raised awareness about the need for robust systems for ensuring transparency, oversight, and regulation of technologies utilizing artificial intelligence. Since there is limited knowledge about the ethical and legal implications of these applications in psychological science, we provide a balanced view of both the optimism that is widely published on and also the challenges and risks of use, including discrimination and exacerbation of structural inequalities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Frequency and predictors of virtual hope box use in individuals experiencing suicidal ideation: An ecological momentary assessment investigation.

INTRODUCTION: The Virtual Hope Box (VHB) is a smartphone application designed to support emotion regulation when one is distressed, in a crisis, or experiencing suicidal ideation (SI). Initial proof of concept studies indicate that individuals are more likely to use the VHB than traditional hope boxes, and find it both easy to setup and helpful. To our knowledge, no studies have harnessed ambulatory assessment methodology to assess VHB use as it relates to incidence of suicidal thinking. METHODS: As such, we recruited N = 50 undergraduates who endorsed SI either the past year or past 2 weeks to complete a 10-day investigation. At baseline, participants were oriented to the VHB and instructed on how to use the application. Over the next 10 days, participants responded to prompts five times per day on their personal smartphones regarding their current experiences of SI and stress as well as VHB usage. RESULTS: Results found that most participants used the VHB at least once, rated its usefulness as high, and rated their perceived likelihood of future use as high. In addition, increases in state SI severity were related to subsequent VHB use. CONCLUSION: The VHB may be a useful tool for managing crises in undergraduates experiencing suicidal thoughts.

Differential Risk: Gender and Racial Differences in the Relationship between Trauma, Discrimination, and Schizotypy.

Traumatic experiences are associated with increased experiences of positive schizotypy. This may be especially important for People of Color, who experience higher rates of trauma and racial discrimination. No study to date has examined how racial disparities in traumatic experiences may impact schizotypy. Furthermore, of the studies that have examined the relationship between trauma and schizotypy, none have examined racial discrimination as a potential moderator. The present study examined if racial discrimination moderates the relationship between trauma and multidimensional (positive, negative, and disorganized) schizotypy. In a sample of 770 college students, we conducted chi-squared analyses, analyses of variance, and stepwise regressions. We found that Black students experienced significantly higher racial discrimination and trauma than Latinx and Asian students. Furthermore, Black and Latinx students experienced significantly more multidimensional schizotypy items than Asian students. Trauma and racial discrimination explained 8 to 23% of the variance in each dimension of schizotypy. Racial discrimination did not moderate the relationships between trauma and multidimensional schizotypy. Our findings suggest that we need to examine risk factors that may prevent recovery from psychotic disorders. Additionally, disorganized schizotypy showed the most robust associations and may be a critical site of intervention.

Neurocognition in psychometrically defined college Schizotypy samples: we are not measuring the "right stuff".

Although neurocognitive deficits are an integral characteristic of schizophrenia, there is inconclusive evidence as to whether they manifest across the schizophrenia-spectrum. We conducted two studies and a meta-analysis comparing neurocognitive functioning between psychometrically defined schizotypy and control groups recruited from a college population. Study One compared groups on measures of specific and global neurocognition, and subjective and objective quality of life. Study Two examined working memory and subjective cognitive complaints. Across both studies, the schizotypy group showed notably decreased subjective (d51.52) and objective (d51.02) quality of life and greater subjective cognitive complaints (d51.88); however, neurocognition was normal across all measures (d's,.35). Our meta-analysis of 33 studies examining neurocognition in at-risk college students revealed between-group differences in the negligible effect size range for most domains. The schizotypy group demonstrated deficits of a small effect size for working memory and set-shifting abilities. Although at-risk individuals report relatively profound neurocognitive deficits and impoverished quality of life, neurocognitive functioning assessed behaviorally is largely intact. Our data suggest that traditionally defined neurocognitive deficits do not approximate the magnitude of subjective complaints associated with psychometrically defined schizotypy.

Alogia and pressured speech do not fall on a continuum of speech production using objective speech technologies.

Speech production is affected in a variety of serious mental illnesses (SMI; e.g., schizophrenia, unipolar depression, bipolar disorders) and at its extremes can be observed in the gross reduction of speech (e.g., alogia) or increase of speech (e.g., pressured speech). The present study evaluated whether clinically-rated alogia and pressured speech represent antithetical constructs when analyzed using objective metrics of speech production. We examined natural speech using acoustic and natural language processing features from two archival studies using several different speaking tasks and a combined 107 patients meeting criteria for SMI. Contrary to expectations, we did not find that alogia and pressured speech presented as opposing ends of a speech production continuum. Objective speech markers were associated with clinically rated alogia but not pressured speech, and these results were consistent across speaking tasks and studies. Implications for our understanding of speech production symptoms in SMI are discussed, as well as implications for Natural Language Processing and digital phenotyping efforts more generally.

Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function.

Modern advances in computational language processing methods have enabled new approaches to the measurement of mental processes. However, the field has primarily focused on model accuracy in predicting performance on a task or a diagnostic category. Instead the field should be more focused on determining which computational analyses align best with the targeted neurocognitive/psychological functions that we want to assess. In this paper we reflect on two decades of experience with the application of language-based assessment to patients' mental state and cognitive function by addressing the questions of what we are measuring, how it should be measured and why we are measuring the phenomena. We address the questions by advocating for a principled framework for aligning computational models to the constructs being assessed and the tasks being used, as well as defining how those constructs relate to patient clinical states. We further examine the assumptions that go into the computational models and the effects that model design decisions may have on the accuracy, bias and generalizability of models for assessing clinical states. Finally, we describe how this principled approach can further the goal of transitioning language-based computational assessments to part of clinical practice while gaining the trust of critical stakeholders.

Towards a temporospatial framework for measurements of disorganization in speech using semantic vectors.

Incoherent speech in schizophrenia has long been described as the mind making "leaps" of large distances between thoughts and ideas. Such a view seems intuitive, and for almost two decades, attempts to operationalize these conceptual "leaps" in spoken word meanings have used language-based embedding spaces. An embedding space represents meaning of words as numerical vectors where a greater proximity between word vectors represents more shared meaning. However, there are limitations with word vector-based operationalizations of coherence which can limit their appeal and utility in clinical practice. First, the use of esoteric word embeddings can be conceptually hard to grasp, and this is complicated by several different operationalizations of incoherent speech. This problem can be overcome by a better visualization of methods. Second, temporal information from the act of speaking has been largely neglected since models have been built using written text, yet speech is spoken in real time. This issue can be resolved by leveraging time stamped transcripts of speech. Third, contextual information - namely the situation of where something is spoken - has often only been inferred and never explicitly modeled. Addressing this situational issue opens up new possibilities for models with increased temporal resolution and contextual relevance. In this paper, direct visualizations of semantic distances are used to enable the inspection of examples of incoherent speech. Some common operationalizations of incoherence are illustrated, and suggestions are made for how temporal and spatial contextual information can be integrated in future implementations of measures of incoherence.