Idea density in the life-stories of people with schizophrenia: Associations with narrative qualities and psychiatric symptoms

Moe, Aubrey M.; Breitborde, Nicholas J. K.; Shakeel, Mohammed K.; Gallagher, C.; Docherty, Nancy M.

doi:10.1016/j.schres.2016.02.016

Cited by 24 publications

(31 citation statements)

References 28 publications

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“…Using other paradigms, poorer organization skills when reflecting upon oneself and less complex personal narratives have also been linked with poorer insight in schizophrenia 146,147 . Vohs et al 11 reported robust correlations between metacognitive capacity and multiple domains of clinical insight, as well as the self-certainty domain of cognitive insight, in first-episode psychosis.…”

Section: Metacognition As a Root Of Poor Insightmentioning

confidence: 99%

Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments

et al. 2018

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Poor insight in schizophrenia is prevalent across cultures and phases of illness. In this review, we examine the recent research on the relationship of insight with behavior, mood and perceived quality of life, on its complex roots, and on the effects of existing and emerging treatments. This research indicates that poor insight predicts poorer treatment adherence and therapeutic alliance, higher symptom severity and more impaired community function, while good insight predicts a higher frequency of depression and demoralization, especially when coupled with stigma and social disadvantage. This research also suggests that poor insight may arise in response to biological, experiential, neuropsychological, social-cognitive, metacognitive and socio-political factors. Studies of the effects of existing and developing treatments indicate that they may influence insight. In the context of earlier research and historical models, these findings support an integrative model of poor insight. This model suggests that insight requires the integration of information about changes in internal states, external circumstances, others' perspectives and life trajectory as well as the multifaceted consequences and causes of each of those changes. One implication is that treatments should, beyond providing education, seek to assist persons with schizophrenia to integrate the broad range of complex and potentially deeply painful experiences which are associated with mental illness into their own personally meaningful, coherent and adaptive picture.

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Section: Metacognition As a Root Of Poor Insightmentioning

confidence: 99%

Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments

et al. 2018

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“…The present results could thus also be interpreted according to the experiential (perceptual) vs. narrative dichotomy, as patients were impaired in the verbal description of GD and ToM animations. Indeed, schizophrenia has been characterized by an uninformative speech with a low idea density 57 : our results suggest that this deficit seems to occur only when they have to infer simple and complex intentions, but not mechanical actions. Finally, the paradigm used two different and heterogeneous conditions of mentalizing.…”

Section: Discussionmentioning

confidence: 63%

Preserved implicit mentalizing in schizophrenia despite poor explicit performance: evidence from eye tracking

Roux

Smith

Passerieux

et al. 2016

Sci Rep

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Schizophrenia has been characterized by an impaired mentalizing. It has been suggested that distinguishing implicit from explicit processes is crucial in social cognition, and only the latter might be affected in schizophrenia. Two other questions remain open: (1) Is schizophrenia characterized by an hypo- or hyper attribution of intentions? (2) Is it characterized by a deficit in the attribution of intention or of contingency? To test these three questions, spontaneous mentalizing was tested in 29 individuals with schizophrenia and 29 control subjects using the Frith-Happé animations, while eye movements were recorded. Explicit mentalizing was measured from participants’ verbal descriptions and was contrasted with implicit mentalizing measured through eye tracking. As a group, patients made less accurate and less intentional descriptions of the goal-directed and theory of mind animations. No group differences were found in the attribution of contingency. Eye tracking results revealed that patients and controls showed a similar modulation of eye movements in response to the mental states displayed in the Frith-Happé animations. To conclude, in this paradigm, participants with schizophrenia showed a dissociation between explicit and implicit mentalizing, with a decrease in the explicit attribution of intentions, whereas their eye movements suggested a preserved implicit perception of intentions.

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“…In the AD and psycholinguistic literature, PID has been automatically 7 We used the Wilcoxon signed rank test. calculated using CPIDR (Engelman et al, 2010;Ferguson et al, 2014;Bryant et al, 2013;Moe et al, 2016). We show that CPIDR has a number of flaws when applied to AD speech, and we propose a new PID computation method DEPID which is more highly correlated with manual estimates of PID.…”

Section: Resultsmentioning

confidence: 99%

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)

Lévy

Specia

2017

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Idea density in the life-stories of people with schizophrenia: Associations with narrative qualities and psychiatric symptoms

Cited by 24 publications

References 28 publications

Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments

Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments

Preserved implicit mentalizing in schizophrenia despite poor explicit performance: evidence from eye tracking

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)

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