Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-24T14:56:46.837Z Has data issue: false hasContentIssue false

Associations of psychotic-like experiences, related symptoms, and working memory with functioning

Published online by Cambridge University Press:  24 February 2020

Charlotte A. Chun
Affiliation:
Department of Psychology, Temple University, Philadelphia, Pennsylvania, USA
Shanna Cooper
Affiliation:
Department of Mental Health, VA San Diego Healthcare System, San Diego, California, USA Department of Psychiatry, University of California, San Diego, California, USA
Lauren M. Ellman*
Affiliation:
Department of Psychology, Temple University, Philadelphia, Pennsylvania, USA
*
Lauren M. Ellman, E-mail: [email protected]

Abstract

This study examined the association of spatial working memory and attenuated psychotic-like experiences and related symptoms with social and role functioning. Findings from this study suggest that symptom dimensions and working memory impairment were associated with diminished functioning across a variety of domains. Specifically, negative symptoms and working memory impairment were inversely associated with both social and role functioning, whereas positive and disorganized symptoms showed inverse associations with social functioning only. Symptom dimensions did not moderate cognitive and functional variables, although working memory and attenuated clinical symptoms had an additive effect on functioning. Post-hoc analyses examining symptom dimensions simultaneously showed negative symptoms to be the variable most strongly predictive of overall functioning. These findings suggest that even in a non-clinical sample, sub-threshold psychosis symptoms and cognition may influence people’s social and role functioning.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s) 2020

Social and role functioning play an important role in the continuum of risk for psychosis. People with subclinical schizotypy, clinical high-risk (CHR) for psychosis, and schizophrenia show impairments in premorbid social adjustment, social functioning, and role functioning (in work, school, home, and community roles), which have major implications for quality of life and other domains of functioning [Reference Addington, Penn, Woods, Addington and Perkins1Reference Thermenos, Juelich, DiChiara, Mesholam-Gately, Woodberry and Wojcik6]. Furthermore, poor social and role functioning and stalled social development predict later conversion to psychosis and worse long-term functioning in CHR groups [Reference Cannon, Cadenhead, Cornblatt, Woods, Addington and Walker710], suggesting that this is an area of study relevant for clinical practice. However, it is unclear how social functioning is impacted by working memory in subclinical groups on the psychosis spectrum, especially in relation to specific dimensions of subclinical symptoms, including psychotic-like experiences (PLEs or attenuated positive psychotic symptoms) and attenuated negative and disorganized symptoms.

Cognitive deficits correlate with quality of life and functional outcomes, including social functioning, in schizophrenia and CHR samples [Reference Halverson, Orleans-Pobee, Merritt, Sheeran, Fett and Penn11Reference Tolman and Kurtz15]. Further, longitudinal research has indicated that improvement in cognition and symptoms across time predicts better outcomes for social and role functioning in CHR groups [Reference Niendam, Bearden, Zinberg, Johnson, O'Brien and Cannon16]. Working memory deficits have been repeatedly found across the psychosis spectrum, including among patients with schizophrenia, CHR samples, and unaffected first-degree relatives of psychosis patients [Reference Goghari, Brett, Tabraham, Johns, Valmaggia and Broome17Reference Snitz, MacDonald and Carter19]. Additionally, meta-analyses suggest that working memory may be one of the few specific cognitive deficits present in subclinical schizotypy groups [Reference Chun, Minor and Cohen20] and that it predicts CHR conversion to psychosis [Reference De Herdt, Wampers, Vancampfort, De Hert, Vanhees and Demunter21,Reference Fusar-Poli, Deste, Smieskova, Barlati, Yung and Howes22]. Working memory impairment has been associated with diminished global functioning, social problem-solving skills, and premorbid social adjustment and role functioning in schizophrenia and CHR groups [Reference Bucci, Galderisi, Mucci, Rossi, Rocca and Bertolino2,Reference Goghari, Brett, Tabraham, Johns, Valmaggia and Broome17,Reference Huang, Tan, Walsh, Spriggens, Neumann and Shum23,Reference Vesterager, Christensen, Olsen, Krarup, Melau and Forchhammer24]. However, research is lacking on the impact of working memory on social and role functioning in individuals experiencing PLEs and other attenuated symptoms. One study found that working memory deficits were associated with a subscale of a schizotypal personality questionnaire that measures social connections [Reference Park and McTigue25], and another study found that objective quality of life showed small associations with overall neurocognitive performance among college students with high schizotypy scores [Reference Chun, Minor and Cohen20]. However, to our knowledge, no study has thoroughly examined social and role functioning specifically in relation to working memory in subclinical psychosis risk.

Positive, negative, and disorganized schizophrenia-spectrum symptoms involve different aspects of cognition, affect, and behavior, and show differential outcomes in these areas on laboratory and experience-sampling measures of factors such as cognitive impairment, emotional experience, and social functioning [Reference Barrantes-Vidal, Chun, Myin-Germeys and Kwapil26Reference Gross, Kwapil, Burgin, Raulin, Silvia and Kemp28]. Meta-analysis studies found that negative—but not positive—clinical symptoms were associated with working memory deficits in patients with schizophrenia [Reference Ventura, Hellemann, Thames, Koellner and Nuechterlein29], whereas positive and negative schizotypy both showed small working memory deficits in subclinical groups [Reference Chun, Minor and Cohen20]. Disorganized symptoms generally show modest associations with working memory, intermediate to those of positive and negative symptoms [Reference Lindsberg, Poutiainen and Kalska30,Reference Ventura, Thames, Wood, Guzik and Hellemann31]. Overall, however, findings are mixed with some studies finding null or inconsistent associations of working memory across symptom dimensions [Reference Forbes, Carrick, McIntosh and Lawrie32,Reference Yong, Barbato, Penn, Keefe, Woods and Perkins33].

Negative and disorganized dimensions have been associated with social and role functioning in a variety of studies, and negative symptoms appear to contribute most strongly to functional impairment in schizophrenia and CHR groups, both concurrently and prospectively [Reference Vesterager, Christensen, Olsen, Krarup, Melau and Forchhammer24,Reference Carrión, Demmin, Auther, McLaughlin, Olsen and Lencz34Reference Meyer, Carrión, Cornblatt, Addington, Cadenhead and Cannon36]. Positive symptoms tend to show the weakest associations with functional outcomes and in individuals at CHR, attenuated positive symptoms may be more strongly related to transition to psychosis than to other correlates of the illness [Reference Carrión, Demmin, Auther, McLaughlin, Olsen and Lencz34]. Subclinical symptom dimensions of psychosis risk are also differentially associated with impairment in different aspects of social functioning. For example, one study found associations between positive schizotypy and peer-relationship problems, and between negative schizotypy and diminished prosocial behavior in a community sample of adolescents [Reference Abu-Akel, Baxendale, Mohr and Sullivan37]. A longitudinal study using latent class analysis showed that a group with consistently high schizotypal traits also had high negative symptoms and poor social functioning over time [Reference Wang, Shi, Liu, Xie, Geng and Yan38]. Further, there is preliminary evidence that cognitive function may play a role in this relationship: one study found that executive function mediated the relationship between social anhedonia and social impairment in a subclinical group [Reference Tully, Lincoln and Hooker39]. However, there has been little research on the potential contributing role of working memory toward functioning in subclinical populations.

In sum, there is a large body of research showing that clinical symptoms and neurocognition have major impacts on functioning in schizophrenia-spectrum groups [Reference Meyer, Carrión, Cornblatt, Addington, Cadenhead and Cannon36,Reference Foussias, Mann, Zakzanis, Van Reekum, Agid and Remington40,Reference Green, Kern and Heaton41]. However, the complex and possibly interacting relationships among these variables are not well characterized in individuals at putative risk for psychosis who are experiencing PLEs and other attenuated symptoms. Addressing these questions can improve our understanding of what disrupts social and role functioning in psychosis-spectrum psychopathology.

The current study sought to examine how PLEs and attenuated negative and disorganized symptoms and working memory relate to social and role functioning. Additionally, we aimed to investigate whether symptoms and working memory interact to predict functioning. As reviewed above, research has shown that working memory and negative symptoms are associated with one another and both contribute individually to functioning, supporting the hypothesis of an additive model. Further, engagement of working memory capacity requires cognitive effort [Reference Gerritsen, Maheandiran, Lepock, Ahmed, Kiang and Bagby42]. Given that motivation and effort are often diminished in people high in negative symptoms, the combination of high negative symptoms and low working memory is expected to be associated with even worse functioning, consistent with the hypothesis of a moderation model.

Hypotheses were made after data collection, but before data analyses, and were pre-registered on Open Science Framework (https://osf.io/4ndwz/). Greater working memory sensitivity and faster reaction times (RT) on the spatial N-back were expected to correlate with better functioning overall and across social and role function subscales. It was hypothesized that negative and disorganized symptoms—but not PLEs—would predict worse N-back performance and lower total and subscale functioning scores. Negative and disorganized symptoms—but not PLEs—were expected to moderate the relationship between N-back performance and overall social and role functioning, such that greater symptoms and worse working memory would be associated with worse functioning. It was expected that these moderation models would fit the data better than additive models of symptom dimensions and working memory predicting social and role function.

Method

Participants

Temple University’s Institutional Review Board approved this study. Undergraduate students ages 18+ from multiple disciplines at a socioeconomically and racially diverse urban university in the United States could sign up for the study through the university’s online subject pool. After providing informed consent, participants completed questionnaires and cognitive tasks on a laboratory computer in the same testing session. They received course credit for their participation. Assessment of subclinical college samples is advantageous for several reasons: (a) participants’ average age is within the window of typical age of onset of psychosis, (b) subclinical schizotypy predicts later onset of psychotic disorders, (c) it allows for premorbid examination of the correlates of psychotic psychopathology, (d) there are fewer confounds such as medication, stigma, and other effects associated with illness onset, and (e) examination of outcomes in this sample provides a conservative test of our hypotheses given that the sample is generally high functioning [Reference Kwapil and Barrantes-Vidal43,Reference Luther, Salyers, Firmin, Marggraf, Davis and Minor44]. Nevertheless, there were substantially more females in the courses that could register for the study and it is possible that findings in our sample will not be generalizable to similarly aged non-college participants, therefore it is necessary for future studies to determine whether these findings can be replicated in community-based samples.

Of participants (N = 497) who completed the study, 31 (6%) were excluded due to below-chance performance on the N-back, leaving a final sample of 466 participants. One participant was excluded for low accuracy on the 0-back condition, 10 on the 1-back condition, and 27 on the 2-back condition. Table 1 presents descriptive statistics. As noted in the table, variables had slightly different sample sizes due to missing data on some measures. Gender was significantly associated with all three symptom dimensions, working memory accuracy, and Social Functioning Scale (SFS) social engagement and independence-performance; thus, gender was included as a covariate in correlations among these variables.

Table 1. Descriptive characteristics of the final sample

Abbreviations: RT, reaction times; SFS, Social Functioning Scale; SD, standard deviation.

Materials

Prodromal Questionnaire (PQ) [Reference Loewy, Bearden, Johnson, Raine and Cannon45]

The PQ is a questionnaire designed to identify individuals at risk for psychosis. It has demonstrated concurrent validity with standard interview measures of psychosis risk, and PLEs in particular were found to predict CHR status [Reference Loewy, Bearden, Johnson, Raine and Cannon45]. Given that factor analytic studies have shown disorganized symptoms to be distinct from PLEs and negative symptoms [Reference Arndt, Alliger and Andreasen46Reference Raine, Reynolds, Lencz, Scerbo, Triphon and Kim48], the current study divided PQ positive scale items into separate dimensions of PLEs (PQ items: unusual thinking, paranoia/suspiciousness, and perceptual abnormalities) and disorganized symptoms (PQ items: disorganized thoughts and speech). Items were summed within each dimension to compute continuous scores of symptoms occurring at least once per month. These symptom dimension conceptualizations have been used in previous psychosis risk research [Reference Cooper, Klugman, Heimberg, Anglin and Ellman47].

Temporal Experience of Pleasure Scale (TEPS) [Reference Gard, Gard, Kring and John49]

The TEPS measures self-report of anticipatory and consummatory pleasure and is appropriate for use with schizophrenia-spectrum groups [Reference Cooper, Kring and Ellman50]. The TEPS was selected because it taps negative symptoms that are characteristic of psychosis risk without including items directly related to social and role functioning. This allows us to examine associations between negative symptoms and functioning without inflating results from overlapping content. The current study summed items from anticipatory and consummatory subscales to compute continuous scores on a negative symptom dimension (see symptom dimensions in Analyses section below). Because higher scores on the TEPS indicate greater pleasure, scores were reversed for analyses to keep presentation of results consistent across symptom dimensions. Thus, associations described in the results are reported in terms of greater negative symptoms.

Social Functioning Scale (SFS) [Reference Birchwood, Smith, Cochrane, Wetton and Copestake51]

The SFS is a self-report measure of social and role functioning that is sensitive to functional impairment across the psychosis spectrum [Reference Hajdúk, Klein, Harvey, Penn and Pinkham52]. SFS outcomes include a total score and seven subscale scores of social functioning (withdrawal, interpersonal behavior, and prosocial activities) and role functioning (recreation, independence-competence, independence-performance, and occupation). To mitigate issues associated with multiple comparisons, the current study only examined subscale scores in correlations; moderation analyses used the SFS total score.

Spatial N-back [Reference Callicott, Ramsey, Tallent, Bertolino, Knable and Cappola53]

The spatial N-back is a working memory task in which participants are instructed to indicate the location of a stimulus displayed in one of four circles fixed in a diamond pattern. There are three conditions: participants indicate the location of the current stimulus in the 0-back condition (control condition), the stimulus one trial back in the 1-back condition (low cognitive load), and the stimulus two trials back in the 2-back condition (high cognitive load). The stimulus duration was 400 ms and the inter-stimulus interval was 1,400 ms. Participants completed a set of practice trials followed by 6 blocks of 7 critical trials per condition, for a total of 126 critical trials. The first trial of every 1-back block and first two trials of every 2-back block were not scored because there were no preceding stimuli to which participants could respond. Average RT was calculated for correct trials only. It was decided a priori that participants who scored below chance (25% accuracy) on any of the three conditions would be excluded. A sensitivity index of performance accuracy was calculated as d′ = Z hits – Z false alarms, which is found to be the most appropriate measure of working memory for the N-back in schizophrenia research [Reference Haatveit, Sundet, Hugdahl, Ueland, Melle and Andreassen54]. Working memory measures for d′ and RT were computed by controlling 2-back scores for 0-back scores. For example, 2-back d′ was regressed on 0-back d′ and the residuals were saved as a measure of working memory sensitivity.

Analyses

Symptom dimension conceptualizations and planned analyses were established a priori and pre-registered. Symptom dimensions represent sums of continuous scores within each dimension of PLEs (PQ items: unusual thinking, paranoia/suspiciousness, and perceptual abnormalities), disorganized symptoms (PQ items: disorganized thoughts and speech), and negative symptoms (TEPS anticipatory and consummatory scores). Positive, negative, and disorganized symptoms of psychosis risk exist along a spectrum in the general population and we aimed to examine these symptoms continuously in a subclinical sample to maximize statistical power and avoid the use of artificial cutoffs.

Because all variables except SFS total score deviated from normality (one-sample Kolmogorov–Smirnov test: all other p < .001, indicating significant non-normality), associations were examined with Spearman rank-order correlations, which is a non-parametric test appropriate for variables with these type of distributions. To assess for confounding variables, age, gender, race/ethnicity, and parental education were examined in association with symptom dimensions, working memory outcomes, and SFS total and subscale scores. Demographic variables were included as covariates when they were significantly associated with both the independent and dependent variable.

Correlations were conducted among SFS total and subscale scores; PLEs, negative, and disorganized symptom dimensions; and working memory sensitivity and RT. A series of moderation models examined whether PLEs, negative, and disorganized symptoms each respectively moderated the association between working memory sensitivity and overall functioning. These analyses were run independently using hierarchical linear regression and variables were standardized. All residuals from regression models were normally distributed, linear, and heteroscedastic. To reduce the number of analyses, moderation models were run with sensitivity (d′) as the only measure of working memory. Additive models were examined when moderation models were not significant. Effect sizes for multiple regressions are reported in terms of f 2: values below 0.02 represent a negligible effect size and values of 0.02, 0.15, and 0.35+ represent small, medium, and large effect sizes, respectively [Reference Cohen55].

Given differential findings for anticipatory and consummatory pleasures in the schizophrenia-spectrum literature [Reference Gard, Gard, Kring and John49,Reference Cooper, Kring and Ellman50], post-hoc analyses examined negative symptom associations separately by TEPS anticipatory and consummatory subscales. Finally, a post-hoc analysis examined PLEs, negative, and disorganized symptoms as independent variables simultaneously predicting SFS total scores to examine which symptom dimensions were most strongly predictive of functioning.

Results

Table 2 presents Spearman rank-order correlations. PLEs and disorganized symptoms showed small associations with diminished functioning for social engagement, interpersonal communication, and independence-competence. Negative symptoms showed small associations with diminished social engagement, recreation, prosocial, and overall functioning. None of the symptom dimensions were associated with working memory d′ or RT. Working memory sensitivity showed small associations with diminished recreation, independence-performance, and overall social and role functioning. Working memory RT was not associated with any measures of functioning on the SFS.

Table 2. Spearman’s rank-order correlations between N-back variables, subclinical symptoms, and SFS outcomes (N = 466)

Abbreviations: Dis, disorganized; Indep-Comp, independence-competence; Indep-Perf, independence-performance; Interp Comm, interpersonal communication; Neg, negative; Occup, occupation; PLEs, psychotic-like experiences; Prosoc, prosocial; Recr, recreation; SFS, Social Functioning Scale; Soc Engag, social engagement; Sx, symptoms; WM d′ = working memory sensitivity. WM RT, working memory reaction time.

a N = 464.

b N = 465.

c N = 463.

d Gender as covariate.

* p < .05

** p < .01.

Table 3 presents moderation models. Three separate hierarchical linear regression models examined were conducted for each of the three symptom clusters as independent variables predicting overall functioning on the SFS, in conjunction with working memory (additive model), and in interaction with working memory (moderation model). Moderation models are displayed in Step 2. Contrary to hypotheses, none of the symptom dimensions moderated the relationship between working memory sensitivity and overall social and role functioning.

Table 3. Hierarchical linear regression models of symptom dimensions and working memory as independent variables predicting total social and role functioning (N = 463)

Values of f 2 and p for Step 2 reflect effect size and significance for the change in variance explained for Step 2 over and above Step 1. Three separate hierarchical regressions were conducted: (1) the additive model of PLEs and working memory as independent variables predicting SFS Total scores at Step 1, and the interaction of PLEs and working memory predicting SFS Total scores at Step 2 (testing whether the interaction term explains additional variance over and above the additive model); (2) the additive model of disorganized symptoms and working memory as independent variables predicting SFS Total scores at Step 1 and the interaction of disorganized symptoms and working memory predicting SFS total scores at Step 2; and (3) the additive model of negative symptoms and working memory as independent variables predicting SFS total scores at Step 1 and the interaction of negative symptoms and working memory predicting SFS total scores at Step 2.

Abbreviations: B, unstandardized coefficient. β, standardized coefficient; CI, confidence intervals; Dis, disorganized symptoms; Neg, negative symptoms; PLEs, psychotic-like experiences; WM, working memory.

The additive models were all significant, but effects were subtle: PLEs and working memory (negligible effect size), disorganized symptoms and working memory (negligible effect size), and negative symptoms and working memory (small effect size) all predicted SFS total scores. The simultaneous regressions of working memory and symptom dimensions and their additive effects are displayed in the table at Step 1. The additive effects of working memory and each of the three symptom dimensions significantly predicted social functioning. With working memory and PLEs in the model simultaneously, working memory was the only independent variable that significantly predicted functioning. Similarly, with working memory and disorganized symptoms both in the model, only working memory was significant. This indicates that these symptoms do not add significant predictive value in functioning over-and-above working memory. In contrast, both working memory and negative symptoms significantly predicted social functioning when included simultaneously.

Post-hoc analyses

Post-hoc analyses examining associations with TEPS anticipatory and consummatory subscales independently showed similar results to the combined negative symptom dimension (see Table 4). Anticipatory anhedonia showed small associations with poor social engagement, interpersonal communication, recreation, prosocial, and overall social and role functioning. Consummatory anhedonia showed small associations with poor social engagement, recreation, and overall functioning. Neither TEPS subscale correlated with working memory sensitivity or RT.

Table 4. Post-hoc analyses: Spearman’s rank-order correlations using TEPS subscales (N = 466)

Higher TEPS anticipatory and consummatory anhedonia scores indicate more severe negative symptoms. Higher SFS scores indicate better functioning. Higher WM d′ and lower (quicker) WM reaction times indicate better working memory performance.

Abbreviations: SFS, Social Functioning Scale; WM, working memory.

a N = 464.

b N = 462.

c Gender included as covariate.

d N = 463.

e N = 465.

* p < .05.

** p < .01.

Post-hoc analyses examined PLEs, negative, and disorganized symptoms as independent variables simultaneously predicting SFS total score using a single linear regression model (see Table 5). With all symptom dimensions in the model concurrently, negative symptoms was the only independent variable significantly predicting overall functioning, at the level of a small effect size.

Table 5. Post-hoc analyses: linear regression of symptom dimensions as independent variables simultaneously predicting social and role functioning (N = 463)

A regression was conducted of the three symptom clusters as independent variables jointly predicting SFS total scores.

Abbreviations: CI, confidence intervals; PLEs, psychotic-like experiences; SE, standard error.

* p < .01.

Discussion

Findings from this study suggest that PLEs, negative and disorganized symptoms and poor working memory sensitivity are associated with diminished functioning across a variety of domains. PLEs and disorganized symptoms were inversely associated with social functioning and negative symptoms were inversely associated with both social and role functioning, consistent with previous findings from studies assessing subclinical schizotypy [Reference Abu-Akel, Baxendale, Mohr and Sullivan37,Reference Fonseca-Pedrero, Lemos-Giráldez, Paíno-Piñeiro, Villazón-García and Muñiz56]. These results are also consistent with findings that poor social and role functioning are associated with CHR status [Reference Velthorst, Zinberg, Addington, Cadenhead, Cannon and Carrión10] and conversion to psychosis [Reference Cornblatt, Carrión, Addington, Seidman, Walker and Cannon9].

Symptom dimensions did not moderate cognitive and functional variables, although working memory and attenuated clinical symptoms had additive effects on functioning. Post-hoc analyses suggested that of the attenuated clinical symptom dimensions, negative symptoms was the independent variable most strongly predictive of overall functioning, consistent with previous research [Reference Carrión, Demmin, Auther, McLaughlin, Olsen and Lencz34,Reference Meyer, Carrión, Cornblatt, Addington, Cadenhead and Cannon36,Reference Schlosser, Campellone, Biagianti, Delucchi, Gard and Fulford57]. Additionally, negative symptoms and working memory each contributed unique variance to social and role functioning, consistent with previous research in a CHR sample [Reference Meyer, Carrión, Cornblatt, Addington, Cadenhead and Cannon36]. Overall, results from this study suggest that even at an attenuated level, symptoms and cognition are significantly associated with functioning in social interactions and work or community roles.

Associations between symptoms and functioning were small, especially compared to a meta-analysis that found very large effect sizes for functional differences between CHR and healthy control groups [Reference Fusar-Poli, Rocchetti, Sardella, Avila, Brandizzi and Caverzasi58]. The subtle effects in our study could be attributed to the use of an undergraduate sample, which is expected to have high levels of social, role, and cognitive functioning on average. Further, university life provides structure and accessibility for engagement in social, recreational, and community roles. The small effects in our study may also be partially attributed to our examination of symptoms dimensionally, instead of restricting analyses to clinically relevant symptoms. Nevertheless, average SFS subscale scores from our sample were comparable to those from a previous study assessing social and role functioning in college undergraduates across a range of subclinical schizotypy scores [Reference Dinzeo, Serna, Pujji and Sledjeski59].

The current study was correlational; thus, the mechanisms through which negative symptoms and working memory affect social and role functioning are still not well understood. A parsimonious explanation is that there is often overlap in content between measurement of negative symptoms and cognitive, social, and role functioning [Reference Lyne, O'Donoghue, Roche, Renwick, Cannon and Clarke60,Reference Lincoln61]. For example, the Scale for the Assessment of Negative Symptoms (SANS) [Reference Andreasen62] includes items assessing impaired attention, and the Clinical Assessment Interview for Negative Symptoms (CAINS) [Reference Kring, Gur, Blanchard, Horan and Reise63] includes items assessing motivation and pleasure for social, recreational, and vocational activities. However, some of these concerns are likely mitigated in the current study, given that the TEPS focuses largely on physical anhedonia, which has little overlap with SFS content or cognitive abilities.

An alternative hypothesis is that negative symptoms and working memory impairment may make social, occupational, and recreational activities more difficult, leading to withdrawal when tasks or interactions are perceived as too effortful and not sufficiently rewarding [Reference Luther, Salyers, Firmin, Marggraf, Davis and Minor44,Reference Degnan, Berry, Sweet, Abel, Crossley and Edge64Reference Thorup, Petersen, Jeppesen, Øhlenschlæger, Christensen and Krarup66]. Instrumental activities of daily living such as managing food preparation, household chores, and finances are complex tasks that involve keeping goals in mind and remembering details while planning and executing multi-step processes [Reference Borella, Cantarella, Joly, Ghisletta, Carbone and Coraluppi67]. Not surprisingly, these tasks are associated with executive functions such as working memory [Reference Borella, Cantarella, Joly, Ghisletta, Carbone and Coraluppi67,Reference Burton, Strauss, Hultscha and Huntera68], which require cognitive effort [Reference Gerritsen, Maheandiran, Lepock, Ahmed, Kiang and Bagby42]. Social interactions similarly involve a complex set of processes. For example, conversations may involve identifying other people’s goals, interests, and beliefs; keeping track of what has been said; and integrating this information while generating ideas to discuss, following social conventions, and inhibiting inappropriate behavior [Reference Porcelli, Van der Wee, Van der Werff, Aghajani, Glennon and Van Heukelum69,Reference Ybarra and Winkielman70]. Engagement in social activities taps executive functioning, emotional, and motivational resources [Reference Ybarra and Winkielman70Reference Dodell-Feder and Germine72]. Thus, diminished motivation and working memory impairment may jointly make it difficult for people at risk for psychosis to be successful in social and role functioning activities.

The current study primarily investigated how cognitive variables relate to functioning. We did not aim to measure motivational variables or affective variables such as the experience and expression of emotions like happiness, sadness, or fear; however, the addition of such variables would be important for future studies to include. Previous findings indicate that affective variables likely play an important role in social functioning (see [Reference Porcelli, Van der Wee, Van der Werff, Aghajani, Glennon and Van Heukelum69] for review). Further, affective factors may interact with cognitive factors. For example, one study showed that working memory moderated the relationship between self-report of physical anhedonia and intensity of emotional experience to positive stimuli in patients with schizophrenia and non-psychiatric controls. That is, people with better working memory showed stronger negative associations between anhedonia and emotional response to pleasant events [Reference Burbridge and Barch73]. Patients with schizophrenia may engage in fewer goal-directed and pleasurable activities due to decreased motivation associated with abnormalities in reward processing, and accompanying beliefs that they will not enjoy these activities [Reference Gold, Waltz, Prentice, Morris and Heerey74,Reference Strauss and Gold75]. Similar processes may influence the relationship between attenuated negative symptoms and functioning in subclinical groups [Reference Fervaha, Zakzanis, Jeffay, Graff-Guerrero, Foussias and Agid76,Reference Li, Xiao, Zou, Li, Yang and Shi77]; however, overlapping mechanisms were not investigated in the current study and should be examined in future investigations. In summary, cognitive and affective variables likely both contribute to social and role functioning and may interact to predict functioning. Future studies may benefit from assessing cognition, affect, and functioning simultaneously across a range of impairment in psychosis-spectrum psychopathology.

Unexpectedly, symptom dimensions were not associated with working memory performance in the current study. This contrasts findings from studies in patients with schizophrenia [Reference Ventura, Hellemann, Thames, Koellner and Nuechterlein29], but is consistent with other schizophrenia-spectrum research [Reference Yong, Barbato, Penn, Keefe, Woods and Perkins33]. Null findings could be attributed to the symptom measures used in the current study; for example, disorganized symptoms were assessed through self-report, whereas many other studies have used semi-structured interviews (e.g., the Structured Interview for Prodromal Symptoms; [Reference McGlashan, Walsh and Woods78]) or behavior-based measures of natural speech (e.g., the Communication Disturbances Index [Reference Docherty79]).

The current study had a number of limitations. The SFS primarily assesses retrospective report of the frequency of social and role activities. Future research on the relationship between cognition and functioning would benefit from using ecological momentary assessment to capture quantity and quality of social, role, and cognitive functioning in the moment [Reference Schneider, Reininghaus, Van Nierop, Janssens and Myin-Germeys80]. The SFS was originally developed to assess social and role functioning in people with schizophrenia; thus, some of the subscales are not particularly relevant for many college students (e.g., employment/occupation). There are few questionnaires assessing social and role functioning designed with subclinical samples in mind but interview-based measures such as the Global Functioning: Social and Global Functioning: Role interviews [Reference Cornblatt, Auther, Niendam, Smith, Zinberg and Bearden81] would be useful in future studies. Due to the high-functioning nature of the undergraduate sample assessed, SFS scores generally approached ceiling—with the exception of recreation and prosocial subscales—which may have limited our ability to find associations. Nonetheless, this strengthens the impact of the findings that symptoms and cognition were associated with functioning in this college sample. The current study used self-report measures of subclinical symptoms and findings from a meta-analysis suggest that these types of self-reports may be influenced by overestimation [Reference Linscott and Os82]. Because participants signed up for the study of their own accord and were not systematically recruited, self-selection biases cannot be ruled out. Our sample was drawn from a public university with a relatively diverse body of students in terms of socioeconomic and ethnic/racial composition; however, effects may be even stronger in a community sample. Finally, there was a higher proportion of females to males in our study, although results held after controlling for gender.

Conclusions

Social functioning, cognitive deficits, and negative symptoms are more stable and traditionally more treatment-resistant than other symptoms and sequelae of CHR and schizophrenia [Reference Cornblatt, Carrión, Addington, Seidman, Walker and Cannon9,Reference Devoe, Peterson and Addington83Reference Keefe, Harvey, Geyer and Gerhard86]. The current study found that working memory and subclinical symptoms, especially negative symptoms, are associated with social and role functioning in individuals at putative risk for psychosis. Because social functioning and impairment are key variables predicting conversion to psychosis [Reference Cannon, Cadenhead, Cornblatt, Woods, Addington and Walker7], early identification is crucial. Opportunities for psychosocial and cognitive intervention may mitigate functional decline and improve long-term outcomes.

Financial support

Funding for this study was provided by Temple University’s College of Liberal Arts Research Award, a University Start-Up Fund awarded to Lauren M. Ellman, PhD, and the following grant awarded to Lauren M. Ellman from NIMH: R01MH112613.

Conflict of Interest

The authors have no competing interests to declare.

References

Addington, J, Penn, D, Woods, S, Addington, D, Perkins, D. Social functioning in individuals at clinical high risk for psychosis. Schizophr Res. 2007;99(1–3):119124.CrossRefGoogle ScholarPubMed
Bucci, P, Galderisi, S, Mucci, A, Rossi, A, Rocca, P, Bertolino, A, et al.Premorbid academic and social functioning in patients with schizophrenia and its associations with negative symptoms and cognition. Acta Psychiatr Scand. 2018;138(3):253266.CrossRefGoogle ScholarPubMed
McCleery, A, Divilbiss, M, St-Hilaire, A, Aakre, J, Seghers, J, Bell, E, et al.Predicting social functioning in schizotypy: an investigation of the relative contributions of theory of mind and mood. J Nerv Ment Dis. 2012;200(2):47152.doi: 10.1371/journal.pone.0134936.Google Scholar
Pelletier-Baldelli, A, Bernard, J, Mittal, V. Intrinsic functional connectivity in salience and default mode networks and aberrant social processes in youth at ultra-high risk for psychosis. Plos One. 2015;10(8):e0134936.CrossRefGoogle ScholarPubMed
Takahashi, T, Higuchi, Y, Komori, Y, Nishiyama, S, Nakamura, M, Sasabayashi, D, et al.Quality of life in individuals with attenuated psychotic symptoms: Possible role of anxiety, depressive symptoms, and socio-cognitive impairments. Psychiatry Res. 2017;257:431437.CrossRefGoogle ScholarPubMed
Thermenos, H, Juelich, R, DiChiara, S, Mesholam-Gately, R, Woodberry, K, Wojcik, J, et al.Hyperactivity of caudate, parahippocampal, and prefrontal regions during working memory in never-medicated persons at clinical high-risk for psychosis. Schizophr Res. 2016;173(1–2):112.CrossRefGoogle ScholarPubMed
Cannon, T, Cadenhead, K, Cornblatt, B, Woods, S, Addington, J, Walker, E, et al.Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America. Arch Gen Psychiatry. 2008;65(1):2837.CrossRefGoogle ScholarPubMed
Carrión, R, McLaughlin, D, Goldberg, T, Auther, A, Olsen, R, Olvet, D, et al.Prediction of functional outcome in individuals at clinical high risk for psychosis. JAMA Psychiatry. 2013;70(11):11331142.CrossRefGoogle ScholarPubMed
Cornblatt, B, Carrión, R, Addington, J, Seidman, L, Walker, E, Cannon, T, et al.Risk factors for psychosis: impaired social and role functioning. Schizophr Bull. 2012;38(6):12471257.CrossRefGoogle ScholarPubMed
Velthorst, E, Zinberg, J, Addington, J, Cadenhead, K, Cannon, T, Carrión, R, et al.Potentially important periods of change in the development of social and role functioning in youth at clinical high risk for psychosis. Dev Psychopathol. 2018;30(1):3947.CrossRefGoogle ScholarPubMed
Halverson, T, Orleans-Pobee, M, Merritt, C, Sheeran, P, Fett, A-K, Penn, D. Pathways to functional outcomes in schizophrenia spectrum disorders: meta-analysis of social cognitive and neurocognitive predictors. Neurosci Biobehav Rev. 2019;105:212219.CrossRefGoogle ScholarPubMed
Bechi, M, Bosia, M, Spangaro, M, Buonocore, M, Cavedoni, S, Agostoni, G, et al.Exploring functioning in schizophrenia: predictors of functional capacity and real-world behaviour. Psychiatry Res. 2017;251:118124.CrossRefGoogle ScholarPubMed
Lin, A, Wood, S, Nelson, B, Brewer, W, Spiliotacopoulos, D, Bruxner, A, et al.Neurocognitive predictors of functional outcome two to 13 years after identification as ultra-high risk for psychosis. Schizophr Res. 2011;132(1):17.CrossRefGoogle ScholarPubMed
Niendam, T, Bearden, C, Johnson, J, McKinley, M, Loewy, R, O'Brien, M, et al.Neurocognitive performance and functional disability in the psychosis prodrome. Schizophr Res. 2006;84(1):100111.CrossRefGoogle ScholarPubMed
Tolman, A, Kurtz, M. Neurocognitive predictors of objective and subjective quality of life in individuals with schizophrenia: a meta-analytic investigation. Schizophr Bull. 2012;38(2):304315.CrossRefGoogle ScholarPubMed
Niendam, T, Bearden, C, Zinberg, J, Johnson, J, O'Brien, M, Cannon, T. The course of neurocognition and social functioning in individuals at ultra high risk for psychosis. Schizophr Bull. 2007;33(3):772781.CrossRefGoogle ScholarPubMed
Goghari, V, Brett, C, Tabraham, P, Johns, L, Valmaggia, L, Broome, M, et al.Spatial working memory ability in individuals at ultra high risk for psychosis. J Psychiatr Res. 2014;50:100105.CrossRefGoogle ScholarPubMed
Seidman, L, Shapiro, D, Stone, W, Woodberry, K, Ronzio, A, Cornblatt, B, et al.Association of neurocognition with transition to psychosis baseline functioning in the second phase of the North American prodrome longitudinal study. JAMA Psychiatry. 2016;73(12):12391248.CrossRefGoogle ScholarPubMed
Snitz, B, MacDonald, A, Carter, C. Cognitive deficits in unaffected first-degree relatives of schizophrenia patients: a meta-analytic review of putative endophenotypes. Schizophr Bull. 2006;32(1):179194.CrossRefGoogle ScholarPubMed
Chun, C, Minor, K, Cohen, A. Neurocognition in psychometrically defined college schizotypy samples: we are NOT measuring the "right stuff". J Int Neuropsychol Soc. 2013;19(3):324337.CrossRefGoogle Scholar
De Herdt, A, Wampers, M, Vancampfort, D, De Hert, M, Vanhees, L, Demunter, H, et al.Neurocognition in clinical high risk young adults who did or did not convert to a first schizophrenic psychosis: a meta-analysis. Schizophr Res. 2013;149(1–3):4855.CrossRefGoogle Scholar
Fusar-Poli, P, Deste, G, Smieskova, R, Barlati, S, Yung, A, Howes, O, et al.Cognitive functioning in prodromal psychosis: a meta-analysis. Arch Gen Psychiatry. 2012;69(6):562571.CrossRefGoogle ScholarPubMed
Huang, J, Tan, S, Walsh, S, Spriggens, L, Neumann, D, Shum, D, et al.Working memory dysfunctions predict social problem solving skills in schizophrenia. Psychiatry Res. 2014;220(1–2):96101.CrossRefGoogle Scholar
Vesterager, L, Christensen, T, Olsen, B, Krarup, G, Melau, M, Forchhammer, H, et al.Cognitive and clinical predictors of functional capacity in patients with first episode schizophrenia. Schizophr Res. 2012;141(2–3):251256.CrossRefGoogle ScholarPubMed
Park, S, McTigue, K. Working memory and the syndromes of schizotypal personality. Schizophr Res. 1997;26(2):213220.CrossRefGoogle ScholarPubMed
Barrantes-Vidal, N, Chun, C, Myin-Germeys, I, Kwapil, T. Psychometric schizotypy predicts psychotic-like, paranoid, and negative symptoms in daily life. J Abnorm Psychol. 2013;122(4):10771087.CrossRefGoogle ScholarPubMed
Kwapil, T, Barrantes-Vidal, N. Schizotypal personality disorder: an integrative review. In: Widiger, T, editor. The Oxford handbook of personality disorders, Oxford: Oxford University Press; 2012; p. 437477.Google Scholar
Gross, G, Kwapil, T, Burgin, C, Raulin, M, Silvia, P, Kemp, K, et al.Validation of the multidimensional schizotypy scale-brief in two large samples. J Psychopathol Behav Assess. 2018;40(4):669677.CrossRefGoogle Scholar
Ventura, J, Hellemann, G, Thames, A, Koellner, V, Nuechterlein, K. Symptoms as mediators of the relationship between neurocognition and functional outcome in schizophrenia: a meta-analysis. Schizophr Res. 2009;113(2–3):189199.CrossRefGoogle ScholarPubMed
Lindsberg, J, Poutiainen, E, Kalska, H. Clarifying the diversity of first-episode psychosis: neuropsychological correlates of clinical symptoms. Nordic J Psychiatry. 2009;63(6):493500.CrossRefGoogle ScholarPubMed
Ventura, J, Thames, A, Wood, R, Guzik, L, Hellemann, G. Disorganization and reality distortion in schizophrenia: a meta-analysis of the relationship between positive symptoms and neurocognitive deficits. Schizophr Res. 2010;121(1–3):114.CrossRefGoogle ScholarPubMed
Forbes, N, Carrick, L, McIntosh, A, Lawrie, S. Working memory in schizophrenia: a meta-analysis. Psychol Med. 2009;39(6):889905.CrossRefGoogle ScholarPubMed
Yong, E, Barbato, M, Penn, D, Keefe, R, Woods, S, Perkins, D, et al.Exploratory analysis of social cognition and neurocognition in individuals at clinical high risk for psychosis. Psychiatry Res. 2014;218(1–2):3943.CrossRefGoogle ScholarPubMed
Carrión, R, Demmin, D, Auther, A, McLaughlin, D, Olsen, R, Lencz, T, et al.Duration of attenuated positive and negative symptoms in individuals at clinical high risk: associations with risk of conversion to psychosis and functional outcome. J Psychiatr Res. 2016;81:95101.CrossRefGoogle ScholarPubMed
Fulford, D, Niendam, T, Floyd, E, Carter, C, Mathalon, D, Vinogradov, S, et al.Symptom dimensions and functional impairment in early psychosis: more to the story than just negative symptoms. Schizophr Res. 2013;147(1):125131.CrossRefGoogle ScholarPubMed
Meyer, E, Carrión, R, Cornblatt, B, Addington, J, Cadenhead, K, Cannon, T, NAPLS Group The relationship of neurocognition and negative symptoms to social and role functioning over time in individuals at clinical high risk in the first phase of the North American Prodrome Longitudinal Study. Schizophr Bull. 2014;40(6):14521461.CrossRefGoogle Scholar
Abu-Akel, A, Baxendale, L, Mohr, C, Sullivan, S. The association between schizotypal traits and social functioning in adolescents from the general population. Psychiatry Res. 2018;270:895900.CrossRefGoogle ScholarPubMed
Wang, Y, Shi, H, Liu, W, Xie, D, Geng, F, Yan, C, et al.Trajectories of schizotypy and their emotional and social functioning: an 18-month follow-up study. Schizophr Res. 2018;193:384390.CrossRefGoogle ScholarPubMed
Tully, L, Lincoln, S, Hooker, C. Attentional control mediates the relationship between social anhedonia and social impairment. Frontiers Psychol. 2014;5(1):1384.CrossRefGoogle ScholarPubMed
Foussias, G, Mann, S, Zakzanis, K, Van Reekum, R, Agid, O, Remington, G. Prediction of longitudinal functional outcomes in schizophrenia: the impact of baseline motivational deficits. Schizophr Res. 2011;132(1):2427.CrossRefGoogle ScholarPubMed
Green, M, Kern, R, Heaton, R. Longitudinal studies of cognition and functional outcome in schizophrenia: implications for MATRICS. Schizophr Res. 2004;72(1):4151.CrossRefGoogle ScholarPubMed
Gerritsen, C, Maheandiran, M, Lepock, J, Ahmed, S, Kiang, M, Bagby, R, et al.Negative symptoms in the clinical high-risk state for psychosis: connection with cognition and primacy in impacting functioning. Early Interv Psychiatry. 2019. doi: 10.1111/eip.12843 [Epub ahead of print].CrossRefGoogle ScholarPubMed
Kwapil, T, Barrantes-Vidal, N. Schizotypy: looking back and moving forward. Schizophr Bull. 2015;41(S2):S366S373.CrossRefGoogle ScholarPubMed
Luther, L, Salyers, M, Firmin, R, Marggraf, M, Davis, B, Minor, K. Additional support for the cognitive model of schizophrenia: evidence of elevated defeatist beliefs in schizotypy. Compr Psychiatry. 2016;68:4047.CrossRefGoogle ScholarPubMed
Loewy, R, Bearden, C, Johnson, J, Raine, A, Cannon, T. The prodromal questionnaire (PQ): preliminary validation of a self-report screening measure for prodromal and psychotic syndromes. Schizophr Res. 2005;79(1):117125.CrossRefGoogle ScholarPubMed
Arndt, S, Alliger, R, Andreasen, N. The distinction of positive and negative symptoms: the failure of a two-dimensional model. Br J Psychiatry. 1991;158(3):317322.CrossRefGoogle ScholarPubMed
Cooper, S, Klugman, J, Heimberg, R, Anglin, D, Ellman, L. Attenuated positive psychotic symptoms and social anxiety: along a psychotic continuum or different constructs? Psychiatry Res. 2016;235:139147.CrossRefGoogle ScholarPubMed
Raine, A, Reynolds, C, Lencz, T, Scerbo, A, Triphon, N, Kim, D. Cognitive-perceptual, interpersonal and disorganized features of schizotypal personality. Schizophr Bull. 1994;20(1):191201.CrossRefGoogle ScholarPubMed
Gard, D, Gard, M, Kring, A, John, O. Anticipatory and consummatory components of the experience of pleasure: a scale development study. J Res Personality. 2006;40(6):10861102.CrossRefGoogle Scholar
Cooper, S, Kring, A, Ellman, L. Attenuated positive psychotic symptoms and the experience of anhedonia. Early Interv Psychiatry. 2018;12(6):11881192.CrossRefGoogle ScholarPubMed
Birchwood, M, Smith, J, Cochrane, R, Wetton, S, Copestake, S. The social functioning scale: the development and validation of a new scale of social adjustment for use in family intervention programmes with schizophrenic patients. Br J Psychiatry. 1990;157(6):853859.CrossRefGoogle ScholarPubMed
Hajdúk, M, Klein, H, Harvey, P, Penn, D, Pinkham, A. Paranoia and interpersonal functioning across the continuum from healthy to pathological: network analysis. Br J Clin Psychol. 2019;58(1):1934.CrossRefGoogle ScholarPubMed
Callicott, J, Ramsey, N, Tallent, K, Bertolino, A, Knable, M, Cappola, R, et al.Functional magnetic resonance imaging brain mapping in psychiatry: methodological issues illustrated in a study of working memory in schizophrenia. Neuropsychopharmacology. 1998;18(3):186196.CrossRefGoogle Scholar
Haatveit, B, Sundet, K, Hugdahl, K, Ueland, T, Melle, I, Andreassen, O. The validity of d prime as a working memory index: results from the “Bergen n-back task”. J Clin Exp Neuropsychol. 2010;32(8):871880.CrossRefGoogle Scholar
Cohen, J. Statistical power analysis for the behavioral sciences, 2nd ed. Hillsdale, NJ: L. Erlbaum Associates; 1988.Google Scholar
Fonseca-Pedrero, E, Lemos-Giráldez, S, Paíno-Piñeiro, M, Villazón-García, U, Muñiz, J. Schizotypal traits, obsessive-compulsive symptoms, and social functioning in adolescents. Compr Psychiatry. 2010;51(1):7177.CrossRefGoogle ScholarPubMed
Schlosser, D, Campellone, T, Biagianti, B, Delucchi, K, Gard, D, Fulford, D, et al.Modeling the role of negative symptoms in determining social functioning in individuals at clinical high risk of psychosis. Schizophr Res. 2015;169(1–3):204208.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Rocchetti, M, Sardella, A, Avila, A, Brandizzi, M, Caverzasi, E, et al.Disorder, not just state of risk: meta-analysis of functioning and quality of life in people at high risk of psychosis. Br J Psychiatry. 2015;207(3):198206.CrossRefGoogle Scholar
Dinzeo, T, Serna, V, Pujji, S, Sledjeski, E. The relationship of categorical and phonological verbal fluency to negative schizotypy and social functioning in a non-clinical sample. Cogn Neuropsychiatry. 2018;23(1):4357.CrossRefGoogle Scholar
Lyne, J, O'Donoghue, B, Roche, E, Renwick, L, Cannon, M, Clarke, M. Negative symptoms of psychosis: a life course approach and implications for prevention and treatment. Early Interv Psychiatry. 2018;12(4):561571.CrossRefGoogle ScholarPubMed
Lincoln, T. Current developments and challenges in the assessment of negative symptoms. Schizophr Res. 2017;186:818.CrossRefGoogle ScholarPubMed
Andreasen, N. Negative symptoms in schizophrenia: definition and validation. Arch Gen Psychiatry. 1982;39(1):784788.CrossRefGoogle Scholar
Kring, A, Gur, R, Blanchard, J, Horan, W, Reise, S. The Clinical Assessment Interview for Negative Symptoms (CAINS): final development and validation. Am J Psychiatry. 2013;170(2):165172.CrossRefGoogle ScholarPubMed
Degnan, A, Berry, K, Sweet, D, Abel, K, Crossley, N, Edge, D. Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol. 2018;53(9):873888.doi: 10.1007/s00127-018-1552-8.CrossRefGoogle ScholarPubMed
DeRosse, P, Barber, A, Fales, C, Malhotra, A. Deconstructing avolition: initiation vs. persistence of reward-directed effort. Psychiatry Res. 2019;273:647652.CrossRefGoogle ScholarPubMed
Thorup, A, Petersen, L, Jeppesen, P, Øhlenschlæger, J, Christensen, T, Krarup, G, et al.Social network among young adults with first-episode schizophrenia spectrum disorders. Soc Psychiatry Psychiatr Epidemiol. 2006;41(10):761770.CrossRefGoogle ScholarPubMed
Borella, E, Cantarella, A, Joly, E, Ghisletta, P, Carbone, E, Coraluppi, D, et al.Performance-based everyday functional competence measures across the adult lifespan: the role of cognitive abilities. Int Psychogeriatr. 2017;29(12):20592069.CrossRefGoogle ScholarPubMed
Burton, C, Strauss, E, Hultscha, D, Huntera, M. Cognitive functioning and everyday problem solving in older adults. Clin Neuropsychol. 2006;3:432452.CrossRefGoogle Scholar
Porcelli, S, Van der Wee, N, Van der Werff, S, Aghajani, M, Glennon, J, Van Heukelum, S, et al.Social brain, social dysfunction and social withdrawal. Neurosci Biobehav Rev. 2019;97:1033.CrossRefGoogle ScholarPubMed
Ybarra, O, Winkielman, P. On-line social interactions and executive functions. Frontiers Hum Neurosci. 2012;6:75.CrossRefGoogle ScholarPubMed
Dodell-Feder, D, Germine, L. Epidemiological dimensions of social anhedonia. Clin Psychol Sci. 2018;6(5):735743.CrossRefGoogle Scholar
Hari, R, Henriksson, L, Malinen, S, Parkkonen, L. Centrality of social interaction in human brain function. Neuron. 2015;88(1):181193.CrossRefGoogle ScholarPubMed
Burbridge, J, Barch, D. Anhedonia and the experience of emotion in individuals with schizophrenia. J Abnorm Psychol. 2007;116(1):3042.CrossRefGoogle ScholarPubMed
Gold, J, Waltz, J, Prentice, K, Morris, S, Heerey, E. Reward processing in schizophrenia: a deficit in the representation of value. Schizophr Bull. 2008;34(5):835847.CrossRefGoogle ScholarPubMed
Strauss, G, Gold, J. A new perspective on anhedonia in schizophrenia. Am J Psychiatry. 2012;169(4):364373.CrossRefGoogle Scholar
Fervaha, G, Zakzanis, K, Jeffay, E, Graff-Guerrero, A, Foussias, G, Agid, O, et al.Amotivation as central to negative schizotypy and their predictive value for happiness. Pers Individ Differ. 2014;68:3742.CrossRefGoogle Scholar
Li, X, Xiao, Y, Zou, L, Li, H, Yang, Z, Shi, H, et al.The effects of working memory training on enhancing hedonic processing to affective rewards in individuals with high social anhedonia. Psychiatry Res. 2016;245:482490.CrossRefGoogle ScholarPubMed
McGlashan, T, Walsh, B, Woods, S. The psychosis-risk syndrome handbook for diagnosis and follow-up. New York: Oxford University Press; 2010.Google Scholar
Docherty, N. The communication disturbances index. Unpublished administration manual. 1996.CrossRefGoogle Scholar
Schneider, M, Reininghaus, U, Van Nierop, M, Janssens, M, Myin-Germeys, I. Does the social functioning scale reflect real-life social functioning? An experience sampling study in patients with a non-affective psychotic disorder and healthy control individuals. Psychol Med. 2017;47(16):27772786.CrossRefGoogle ScholarPubMed
Cornblatt, B, Auther, A, Niendam, T, Smith, C, Zinberg, J, Bearden, C, et al.Preliminary findings for two new measures of social and role functioning in the prodromal phase of schizophrenia. Schizophr Bull. 2007;33(3):688702.CrossRefGoogle ScholarPubMed
Linscott, R, van Os, J. An updated and conservative systematic review and meta-analysis of epidemiological evidence on psychotic experiences in children and adults: on the pathway from proneness to persistence to dimensional expression across mental disorders. Psychol Med. 2013;43(6):1133–49.CrossRefGoogle ScholarPubMed
Devoe, D, Peterson, A, Addington, J. Negative symptom interventions in youth at risk of psychosis: a systematic review and network meta-analysis. Schizophr Bull. 2018;44(4):807823.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Papanastasiou, E, Stahl, D, Rocchetti, M, Carpenter, W, Shergill, S, et al.Treatments of negative symptoms in schizophrenia: meta-analysis of 168 randomized placebo-controlled trials. Schizophr Bull. 2015;41(4):892899.CrossRefGoogle ScholarPubMed
Harvey, R, James, A, Shields, G. A systematic review and network meta-analysis to assess the relative efficacy of antipsychotics for the treatment of positive and negative symptoms in early-onset schizophrenia. CNS Drugs. 2016;30(1):2739.CrossRefGoogle ScholarPubMed
Keefe, R, Harvey, P. Cognitive impairment in schizophrenia. In: Geyer, M, Gerhard, G, editors. Novel antischizophrenia treatments, Berlin: Springer; 2012, p. 1137.CrossRefGoogle Scholar
Figure 0

Table 1. Descriptive characteristics of the final sample

Figure 1

Table 2. Spearman’s rank-order correlations between N-back variables, subclinical symptoms, and SFS outcomes (N = 466)

Figure 2

Table 3. Hierarchical linear regression models of symptom dimensions and working memory as independent variables predicting total social and role functioning (N = 463)

Figure 3

Table 4. Post-hoc analyses: Spearman’s rank-order correlations using TEPS subscales (N = 466)

Figure 4

Table 5. Post-hoc analyses: linear regression of symptom dimensions as independent variables simultaneously predicting social and role functioning (N = 463)

Submit a response

Comments

No Comments have been published for this article.