Disturbances in self-experience are a central feature of schizophrenia and its study can enhance phenomenological understanding and inform mechanisms underlying clinical symptoms. Self-experience involves the sense of self-presence, of being the subject of one’s own experiences and agent of one’s own actions, and of being distinct from others. Self-experience is traditionally assessed by manual rating of interviews; however, natural language processing (NLP) offers automated approach that can augment manual ratings by rapid and reliable analysis of text. We elicited autobiographical narratives from 167 patients with schizophrenia or schizoaffective disorder (SZ) and 90 healthy controls (HC), amounting to 490 000 words and 26 000 sentences. We used NLP techniques to examine transcripts for language related to self-experience, machine learning to validate group differences in language, and canonical correlation analysis to examine the relationship between language and symptoms. Topics related to self-experience and agency emerged as significantly more expressed in SZ than HC (P < 10⁻¹³) and were decoupled from similarly emerging features such as emotional tone, semantic coherence, and concepts related to burden. Further validation on hold-out data showed that a classifier trained on these features achieved patient-control discrimination with AUC = 0.80 (P < 10⁻⁵). Canonical correlation analysis revealed significant relationships between self-experience and agency language features and clinical symptoms. Notably, the self-experience and agency topics emerged without any explicit probing by the interviewer and can be algorithmically detected even though they involve higher-order metacognitive processes. These findings illustrate the utility of NLP methods to examine phenomenological aspects of schizophrenia.

The “emotion paradox” of schizophrenia suggests people with schizophrenia demonstrate deficits when reporting anticipated and retrospective pleasure; yet, in-the-moment, consummatory pleasure is largely intact. It is uncertain how these findings extend to social situations. This meta-analysis aimed to (1) determine the mean difference in consummatory social pleasure between people with schizophrenia and healthy controls, and (2) examine moderators of this effect, including study design and clinical characteristics of participants. A literature search using PsycINFO, Web of Science, Pubmed, and EMBASE databases was conducted. Studies measuring consummatory social pleasure using experience sampling methods and laboratory social simulations were included. Random effects meta-analyses were conducted using Hedge’s g. Meta-analysis of 26 studies suggests people with schizophrenia exhibited a small, significant deficit in consummatory social pleasure (g = −0.38, 90% CI [−0.53, −0.22]). There was significant heterogeneity in effect sizes; magnitude was moderated by study design and type of measure used to assess social pleasure. Overall, people with schizophrenia seem to exhibit less consummatory social pleasure than controls. However, this deficit is smaller than in studies of anticipated and retrospective pleasure. Thus, consummatory social pleasure may not be quite as impaired in people with schizophrenia as traditional anhedonia research suggests. Moreover, pleasure deficits observed in people with schizophrenia may result from differences in the quality of their daily social experiences rather than differences in their capacity for social pleasure. Results have important implications for clinical interventions that address barriers to social engagement, low-pleasure beliefs, and cognitive remediation to treat schizophrenia.

Disorganized speech is a critical barrier to recovery in schizophrenia, with profound negative impacts on one’s ability to engage with the world. Despite the limited efficacy of existing treatments in addressing disorganization, a qualitative analysis of what leads to disorganization in patient narratives has been lacking. This study addresses this gap through inductive thematic analysis of 30 narrative interviews with individuals with schizophrenia, matched based on whether Formal Thought Disorder (FTD) is present. Through this analysis, we identified four core themes (alienation, interpersonal tension, personal benchmarks, and adverse experiences) and eight subthemes. Our findings suggest that disorganization may serve as a protective mechanism against psychological distress and highlight how the severity of FTD influences these themes. Alienation, particularly due to illness-related stigma, emerged more prominently in those with FTD. The themes of personal benchmarks and interpersonal tension pointed towards a heightened sensitivity to social interactions and self-perception among those with schizophrenia. Adverse experiences, encompassing past challenges, suggest a potential link between trauma and symptom exacerbation. Our qualitative analysis of what themes precede disorganized speech has implications for tailoring psychotherapy. By considering an individual’s specific triggers and level of disorganization, therapy may be more effectively targeted to improve recovery-based outcomes. By identifying themes within patient narratives, this study advances our understanding of the qualitative aspects preceding disorganized speech in schizophrenia, paving the way for more personalized and effective recovery-focused interventions.