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Applying speech technologies to assess verbal memory in patients with serious mental illness
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24.4 MOVING SPEECH TECHNOLOGY METHODS OUT OF THE LABORATORY: PRACTICAL CHALLENGES AND CLINICAL TRANSLATION OPPORTUNITIES FOR PSYCHIATRY
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The effect of limited cognitive resources on communication disturbances in serious mental illness
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In: PMC (2017)
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The effect of limited cognitive resources on communication disturbances in serious mental illness
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An examination of the language construct in NIMH's research domain criteria: Time for reconceptualization!
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What do we really know about blunted vocal affect and alogia? A meta-analysis of objective assessments
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Abstract:
Deficits in nonverbal vocal expression (e.g., blunted vocal affect, alogia) are a hallmark of schizophrenia and are a focus of the Research Domain Criteria initiative from the National Institute of Mental Health. Results from studies using symptom rating scales suggest these deficits are profound; on the order of four to six standard deviations. To complement this endeavor, we conducted a meta-analysis of studies employing objective analysis of natural speech in patients with schizophrenia and nonpsychiatric controls. Thirteen studies, collectively including 480 patients with schizophrenia and 326 nonpsychiatric controls, were identified. There was considerable variability across studies in which aspects of vocal communication were examined and in the magnitudes of deficit. Overall, speech production (reflecting alogia) was impaired at a large effects size level (d = −.80; k = 13), whereas speech variability (reflecting blunted affect) was much more modest (d = −.36; k = 2). Regarding the former, this was largely driven by measures of pause behavior, as opposed to other aspects of speech (e.g., number of words/utterances). On the other hand, ratings of negative symptoms across these studies suggested profound group differences (d = 3.54; k = 4). These data suggest that only certain aspects of vocal expression are affected in schizophrenia, and highlight major discrepancies between symptom rating and objective-based measures. The discussion centers on advancing objective analysis for understanding vocal expression in schizophrenia and for identifying and defining more homogenous patient subsets for study.
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URL: https://doi.org/10.1016/j.schres.2014.09.013 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254038/ http://www.ncbi.nlm.nih.gov/pubmed/25261880
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The Normalities and Abnormalities Associated with Speech in Psychometrically-Defined Schizotypy
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Speech Deficits in Serious mental Illness: A Cognitive Resource Issue?
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Authentic interactive reenactment of cultural heritage with 3D virtual worlds and artificial intelligence
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Computerized Measurement of Negative Symptoms in Schizophrenia
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