Video-based quantification of body movement during social interaction indicates the severity of negative symptoms in patients with schizophrenia

Kupper, Zeno; Ramseyer, Fabian; Hoffmann, Holger; Kalbermatten, Samuel; Tschacher, Wolfgang

doi:10.1016/j.schres.2010.03.032

Cited by 81 publications

(95 citation statements)

References 42 publications

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“…Our finding of an association between negative syndrome severity and reduced motor activity parallels previous results of actigraphy studies, 15,16,18 studies using videoanalyses 35 or comprehensive motor rating scales. 30,31 Consistently, psychomotor slowing was correlated with the negative syndrome, particularly with avolition and emotional withdrawal.…”

Section: Amount Of Motor Activitysupporting

confidence: 89%

Less Structured Movement Patterns Predict Severity of Positive Syndrome, Excitement, and Disorganization

Walther

Ramseyer

Horn

et al. 2013

Schizophrenia Bulletin

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Disorganized behavior is a key symptom of schizophrenia. The objective assessment of disorganized behavior is particularly challenging. Actigraphy has enabled the objective assessment of motor behavior in various settings. Reduced motor activity was associated with negative syndrome scores, but simple motor activity analyses were not informative on other symptom dimensions. The analysis of movement patterns, however, could be more informative for assessing schizophrenia symptom dimensions. Here, we use time series analyses on actigraphic data of 100 schizophrenia spectrum disorder patients. Actigraphy recording intervals were set at 2 s. Data from 2 defined 60-min periods were analyzed, and partial autocorrelations of the actigraphy time series indicated predictability of movements in each individual. Increased positive syndrome scores were associated with reduced predictability of movements but not with the overall amount of movement. Negative syndrome scores were associated with low activity levels but unrelated with predictability of movement. The factors disorganization and excitement were related to movement predictability but emotional distress was not. Thus, the predictability of objectively assessed motor behavior may be a marker of positive symptoms and disorganized behavior. This behavior could become relevant for translational research.

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Section: Amount Of Motor Activitysupporting

confidence: 89%

Less Structured Movement Patterns Predict Severity of Positive Syndrome, Excitement, and Disorganization

Walther

Ramseyer

Horn

et al. 2013

Schizophrenia Bulletin

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“…In addition, we expected that patients' nonverbal behavior would impact standard psychopathology ratings considerably. Recent research using virtual interactions or role play have revealed anomalies of eye gaze in schizophrenia and bipolar disorder (Choi et al, 2010;Kim et al, 2009), as well as reduced head and body movement in schizophrenia patients that correlated with the amount of negative symptoms (Kupper et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Nonverbal Behavior During Clinical Interviews

Annen¹,

Roser²,

Brüne³

2012

Journal of Nervous &Amp; Mental Disease

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Research has shown that patients with schizophrenia and depression differ from nonclinical subjects in nonverbal behavior. In contrast, there is a paucity of studies addressing differences in nonverbal communication between diagnostic groups and as to what extent nonverbal communication feeds into standard ratings of psychopathology. Twenty-six patients with schizophrenia were compared with 24 patients with affective disorders (13 depressed, 11 manic) regarding their nonverbal behavior using the Ethological Coding System for Interviews. Symptom severity was rated using the Brief Psychiatric Rating Scale. Patients with mania displayed more illustrative gestures than did patients with schizophrenia or depression. Subtler behavioral differences between the groups occurred regarding assertive behaviors and displacement activities suggestive of hostility and motivational conflict, respectively. Distinct correlations between nonverbal communication and psychopathology ratings emerged in all three groups. Patients with schizophrenia, depression, and mania differ in nonverbal behavior. Nonverbal communication seems to be a significant contributor to clinicians' intuitive ratings.

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“…Other methods have relied on trained judges’ evaluations (Bernieri and Rosenthal, 1991). Technical advances in digital video processing have since greatly facilitated quantification of movement based on video recordings (Grammer et al, 1997; Grammer et al, 1999; Ramseyer and Tschacher, 2006, 2011; Nagaoka and Komori, 2008; Kupper et al, 2010; Altmann, 2011; Paxton and Dale, 2013a,b). Motion energy analysis (MEA), an objective method to determine changes in movement, relies on the same principle of frame-by-frame change introduced almost five decades ago.…”

Section: Methodsmentioning

confidence: 99%

Nonverbal synchrony and affect in dyadic interactions

2014

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In an experiment on dyadic social interaction, we invited participants to verbal interactions in cooperative, competitive, and ‘fun task’ conditions. We focused on the link between interactants’ affectivity and their nonverbal synchrony, and explored which further variables contributed to affectivity: interactants’ personality traits, sex, and the prescribed interaction tasks. Nonverbal synchrony was quantified by the coordination of interactants’ body movement, using an automated video-analysis algorithm (motion energy analysis). Traits were assessed with standard questionnaires of personality, attachment, interactional style, psychopathology, and interpersonal reactivity. We included 168 previously unacquainted individuals who were randomly allocated to same-sex dyads (84 females, 84 males, mean age 27.8 years). Dyads discussed four topics of general interest drawn from an urn of eight topics, and finally engaged in a fun interaction. Each interaction lasted 5 min. In between interactions, participants repeatedly assessed their affect. Using hierarchical linear modeling, we found moderate to strong effect sizes for synchrony to occur, especially in competitive and fun task conditions. Positive affect was associated positively with synchrony, negative affect was associated negatively. As for causal direction, data supported the interpretation that synchrony entailed affect rather than vice versa. The link between nonverbal synchrony and affect was strongest in female dyads. The findings extend previous reports of synchrony and mimicry associated with emotion in relationships and suggest a possible mechanism of the synchrony-affect correlation.

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Video-based quantification of body movement during social interaction indicates the severity of negative symptoms in patients with schizophrenia

Cited by 81 publications

References 42 publications

Less Structured Movement Patterns Predict Severity of Positive Syndrome, Excitement, and Disorganization

Less Structured Movement Patterns Predict Severity of Positive Syndrome, Excitement, and Disorganization

Nonverbal Behavior During Clinical Interviews

Nonverbal synchrony and affect in dyadic interactions

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