Computerized facial analysis for understanding constricted/blunted affect: Initial feasibility, reliability, and validity data

Abstract Diminished expression is a diagnostic feature of a range of schizophrenia-spectrum disorders/conditions and is often unresponsive to treatment, is present across premorbid, first episode and various clinical states, and is considered a poor prognostic indicator. Surprisingly, little is know...

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Veröffentlicht in:Schizophrenia research 2013-08, Vol.148 (1), p.111-116
Hauptverfasser: Cohen, Alex S, Morrison, Sean C, Callaway, Dallas A
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Sprache:eng
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Zusammenfassung:Abstract Diminished expression is a diagnostic feature of a range of schizophrenia-spectrum disorders/conditions and is often unresponsive to treatment, is present across premorbid, first episode and various clinical states, and is considered a poor prognostic indicator. Surprisingly, little is known about diminished expression. The present study sought to address this issue by evaluating a commercially-available computerized facial analysis software for understanding diminished expressivity. We analyzed natural facial expression from a series of laboratory interaction tasks in 28 individuals with psychometric schizotypy — defined as the personality organization reflecting a putative genetic schizophrenia liability, and 26 matched controls. We evaluated (a) feasibility — defined in terms of the number of video frames recognized by the software, (b) reliability — defined in terms of correlations between facial expression variables across the three laboratory interactions, and (c) construct validity — defined in terms of relationships to clinical variables. For most subjects (~ 80%), approximately three-quarters of the video frames were analyzable by the software; however, a minority of the videos were essentially unreadable. The facial expression variables showed excellent reliability across interaction conditions. In terms of construct validity, facial expression variables were significantly related to a measure of psychoticism, tapping subjective cognitive concerns and “first-rank” schizophrenia symptoms, but were generally not different between groups. Facial expression variables were generally not significantly related to measures of depression, anxiety, paranoia or, surprisingly, self-reported negative schizotypy. While computerized facial analysis appears to be a reliable and promising method of understanding diminished expressivity across the schizophrenia-spectrum, some work remains. Implications are discussed.
ISSN:0920-9964
1573-2509
DOI:10.1016/j.schres.2013.05.003