Accurate measurement of negative symptoms is crucial for understanding and treating schizophrenia. However, current measurement strategies are reliant on subjective symptom rating scales which often have psychometric and practical limitations. Computerized analysis of patients' speech offers a sophisticated and objective means of evaluating negative symptoms. The present study examined the feasibility and validity of using widely-available acoustic and lexical-analytic software to measure flat affect, alogia and anhedonia (via positive emotion). These measures were examined in their relationships to clinically-rated negative symptoms and social functioning. Natural speech samples were collected and analyzed for 14 patients with clinically-rated flat affect, 46 patients without flat affect and 19 healthy controls. The computer-based inflection and speech rate measures significantly discriminated patients with flat affect from controls, and the computer-based measure of alogia and negative emotion significantly discriminated the flat and non-flat patients. Both the computer and clinical measures of positive emotion/anhedonia corresponded to functioning impairments. The computerized method of assessing negative symptoms offered a number of advantages over the symptom scale-based approach. Keywordsnegative; symptoms; schizophrenia; functioning; anhedonia Send correspondence to Alex S. Cohen, Ph.D., Louisiana State University, Department of Psychology, 236 Audubon Hall, Baton Rouge, LA 70803, Email: acohen@lsu.edu. 3 There was no evidence to suggest that the relationships between the clinical and computerized anhedonia measures and social dysfunction were unduly influenced by individual differences in intellectual functioning across patients. First, intelligence and social functioning were not significantly correlated (r[58] = .17, p > .20) within the patient group. Second, regression analyses revealed that the contribution of the computerized and clinical anhedonia measures to social dysfunction (entered together; r 2 = .15, F change = 5.01, p < .05) remained significant after accounting for the contribution made by IQ scores (r 2 = .03, F change = 1.98, ns).
Schizophrenia remains a complex, dynamic, multi-dimensional, and poorly understood condition. Although the concept of heterogeneity in outcome has conceptually overturned the post Kraepelinian legacy of progressive deterioration, a number of factors appear to contribute to perpetuating a pessimistic attitude toward outcome within the field. These include the limited access people with schizophrenia have to effective interventions and the phenomenon of the "clinician's illusion," which refers to the tendency of practitioners to assume that patients remain seriously ill when outside of the clinical care settings in which they are typically seen. Longitudinal studies, however, continue to point to a large number of people who experience improvements in their condition over time. Pressure from patients and their families, who experience periods of symptomatic relief and enhanced functioning first-hand, has led to the introduction of such concepts as "remission" and being "in" recovery with schizophrenia, in addition to the conventional notion of recovering "from" schizophrenia. These developments are consistent with recent policy initiatives by the U.S. and other governments around the world and aim to re-orient research and clinical practice from a traditional focus on effecting cure to exploring ways to encourage and assist people with schizophrenia to live meaningful lives in the face of an enduring illness.
Speech deficits, notably those involved in psychomotor retardation, blunted affect, alogia and poverty of content of speech, are pronounced in a wide range of serious mental illnesses (e.g., schizophrenia, unipolar depression, bipolar disorders). The present project evaluated the degree to which these deficits manifest as a function of cognitive resource limitations. We examined natural speech from 52 patients meeting criteria for serious mental illnesses (i.e., severe functional deficits with a concomitant diagnosis of schizophrenia, unipolar and/or bipolar affective disorders) and 30 non-psychiatric controls using a range of objective, computer-based measures tapping speech production (“alogia”), variability (“blunted vocal affect”) and content (“poverty of content of speech”). Subjects produced natural speech during a baseline condition and while engaging in an experimentally-manipulated cognitively-effortful task. For correlational analysis, cognitive ability was measured using a standardized battery. Generally speaking, speech deficits did not differ as a function of SMI diagnosis. However, every speech production and content measure was significantly abnormal in SMI versus control groups. Speech variability measures generally did not differ between groups. For both patients and controls as a group, speech during the cognitively-effortful task was sparser and less rich in content. Relative to controls, patients were abnormal under cognitive load with respect only to average pause length. Correlations between the speech variables and cognitive ability were only significant for this same variable: average pause length. Results suggest that certain speech deficits, notably involving pause length, may manifest as a function of cognitive resource limitations. Implications for treatment, research and assessment are discussed.
This study examined the degree to which different types of communication disturbances in the speech of 48 schizophrenia patients and 28 controls were variable and state related versus stable and traitlike. Clinically rated formal thought disorder and 5 types of referential disturbance showed substantial stability within participants over time. The sixth type of referential disturbance, the vague reference, was not stable over time. Formal thought disorder was associated with the severity of core psychotic symptoms in patients. whereas referential disturbances showed little or no association with positive or negative symptom severity. Furthermore, changes in psychotic symptoms over time were accompanied by corresponding changes in formal thought disorder but not referential disturbances. These results support the idea that some types of referential disturbances are traitlike and may be reflective of vulnerability as well as manifest illness.
With the increasing prominence of the notions of "recovery" and "recovery-oriented practice," practitioners, program managers, and system leaders are increasingly asking about the relationship between "evidence-based practices" and recovery. After reviewing the concepts of recovery from mental illness, being in recovery with a mental illness, recovery-oriented care, and evidence-based medicine, the authors argue for a complementary relationship between recovery and evidence-based practices. This relationship is neither simple nor straightforward, but results in a whole that is greater than the sum of its parts through which each element benefits from the influence of the other.
The psychometric screening and detection of schizotypy through the use of concise self-report assessment instruments such as the Schizotypal Personality Questionnaire-Brief Revised (SPQ-BR; Cohen, Matthews, Najolia, & Brown, 2010) enables an expeditious identification of individuals at putatively elevated risk to develop schizophrenia-spectrum disorders. Using 2 large, culturally diverse, independent samples, this study expanded the psychometric evaluation of this instrument by presenting a series of confirmatory factor analyses; reviewing internal consistency reliabilities; and evaluating the construct validity of the scale by way of examining group differences in SPQ-BR scores between individuals with and without self-reported family histories of schizophrenia. The results indicate a 2-tier factor solution of the measure and indicate strong internal reliability for the scale. Findings regarding construct validity of the SPQ-BR are more variable with the Cognitive-Perceptual Deficits superordinate factor receiving the strongest evidentiary support. Limitations of this study and directions for future research are discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.