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

In schizophrenia, nonverbal behavior, including body movement, is of theoretical and clinical importance. Although reduced nonverbal expressiveness is a major component of the negative symptoms encountered in schizophrenia, few studies have objectively assessed body movement during social interaction. In the present study, 378 brief, videotaped role-play scenes involving 27 stabilized outpatients diagnosed with paranoid-type schizophrenia were analyzed using Motion Energy Analysis (MEA). This method enables the objective measuring of body movement in conjunction with ordinary video recordings. Correlations between movement parameters (percentage of time in movement, movement speed) and symptom ratings from independent PANSS interviews were calculated. Movement parameters proved to be highly reliable. In keeping with predictions, reduced movement and movement speed correlated with negative symptoms. Accordingly, in patients who exhibited noticeable movement for less than 20% of the observation time, prominent negative symptoms were highly probable. As a control measure, the percentage of movement exhibited by the patients during role-play scenes was compared to that of their normal interactants. Patients with negative symptoms differed from normal interactants by showing significantly reduced head and body movement. Two specific positive symptoms were possibly related to movement parameters: suspiciousness tended to correlate with reduced head movement, and the expression of unusual thought content tended to relate to increased movement. Overall, a close and theoretically meaningful association between the objective movement parameters and the symptom profiles was found. MEA appears to be an objective, reliable and valid method for quantifying nonverbal behavior, an aspect which may furnish new insights into the processes related to reduced expressiveness in schizophrenia.

Severe traumatic brain injury in Switzerland - feasibility and first results of a cohort study

BACKGROUND: We aimed to study the incidence and outcome of severe traumatic brain injury (TBI) in Switzerland and to test the feasibility of a large cohort study with case identification in the first 24 hours and 6-month follow-up. METHODS: From January to June 2005, we consecutively enrolled and followed up all persons with severe TBI (Abbreviated Injury Score of the head region >3 and Glasgow Coma Scale <9) in the catchment areas of 3 Swiss medical centres with neurosurgical facilities. The primary outcome was the Extended Glasgow Outcome Scale (GOSE) after 6 months. Secondary outcomes included survival, Functional Independence Mea - sure (FIM), and health-related quality of life (SF-12) at defined time-points up to 6 months after injury. RESULTS: We recruited 101 participants from a source population of about 2.47 million (ie, about 33% of Swiss population). The incidence of severe TBI was 8.2 per 100,000 person-years. The overall case fatality was 70%: 41 of 101 persons (41%) died at the scene of the accident. 23 of 60 hospitalised participants (38%) died within 48 hours, and 31 (53%) within 6 months. In all hospitalised patients, the median GOSE was 1 (range 1-8) after 6 months, and was 6 (2-8) in 6-month survivors. The median total FIM score was 125 (range 18-126); median-SF-12 component mea - sures were 44 (25-55) for the physical scale and 52 (32-65) for the mental scale. CONCLUSIONS: Severe TBI was associated with high case fatality and considerable morbidity in survivors. We demonstrated the feasibility of a multicentre cohort study in Switzerland with the aim of identifying modifiable determinants of outcome and improving current trauma care.

Cellular and network mechanisms of rhythm generation in spinal cord circuits

The generation of rhythmic electrical activity is a prominent feature of spinal cord circuits that is used for locomotion and also for circuit refinement during development. The mechanisms involved in rhythm generation in spinal cord networks are not fully understood. It is for example not known whether spinal cord rhythms are driven by pacemaker neurons and if yes, which neurons are involved in this function. We studied the mechanisms involved in rhythm generation in slice cultures from fetal rats that were grown on multielectrode arrays (MEAs). We combined multisite extracellular recordings from the MEA electrodes with intracellular patch clamp recordings from single neurons. We found that spatially restricted oscillations of activity appeared in most of the cultures spontaneously. Such activity was based on intrinsic activity in a percentage of the neurons that could activate the spinal networks through recurrent excitation. The local oscillator networks critically involved NMDA, AMPA and GABA / glycine receptors at subsequent phases of the oscillation cycle. Intrinsic spiking in individual neurons (in the absence of functional synaptic coupling) was based on persistent sodium currents. Intrinsic firing as well as persistent sodium currents were increased by 5-HT through 5-HT2 receptors. Comparing neuronal activity to muscle activity in co-cultures of spinal cord slices with muscle fibers we found that a percentage of the intrinsically spiking neurons were motoneurons. These motoneurons were electrically coupled among each other and they could drive the spinal networks through cholinergic recurrent excitation. These findings open the possibility that during development rhythmic activity in motoneurons is not only involved in circuit refinement downstream at the neuromuscular endplates but also upstream at the level of spinal cord circuits.

Nonverbale Synchronisation in Dyaden: ein Vergleich von kooperativen und kompetitiven Interaktionen

Nonverbales Verhalten spielt in zwischenmenschlichen Interaktionen eine bedeutende Rolle. Es beeinflusst mutmaßlich den Verlauf eines Gesprächs, die Beziehung zwischen den Interaktionspartnern und die reziproke Sympathie. Trotz dieser immensen Bedeutung wird nonverbales Verhalten von den Beteiligten meist nicht bewusst wahrgenommen. Die vorliegende Arbeit widmet sich diesem wirkungsvollen Phänomen und vergleicht nonverbales Verhalten in kooperativen und kompetitiven Interaktionsbedingungen. Im Fokus der Experimentalstudie steht die nonverbale Synchronisation. Diese bezieht sich auf den dynamischen, quantitativen Aspekt der Koordination nonverbalen Verhaltens zwischen den Interaktionspartnern, konkret auf die Angleichung der Bewegungsenergie. Primäres Ziel ist es zu evaluieren, ob und inwiefern das nonverbale Verhalten, insbesondere das Ausmaß an Synchronisation, zwischen kooperativen und kompetitiven Bedingungen variiert. Hierzu wurden in einer Stichprobe von N = 168 gesunden Teilnehmern fünf standardisierte Interaktionen à fünf Minuten mit gleichgeschlechtlichen Dyaden realisiert. Die Probanden kannten sich vorher nicht. Die Interaktanten sahen sich aufgefordert, sowohl aktive Kooperationen zu etablieren, als auch in bestimmten Aufgaben zu konkurrieren. Kompromiss, Konsens, Konflikt, ungleicher Konflikt und Spiel waren die verschiedenen Bedingungen. Die resultierenden Synchronisationswerte basieren auf digitalen Videoaufnahmen von dyadischen Interaktionen, die durch das automatisierte, objektive Verfahren der Motion Energy Analysis (MEA) quantifiziert wurden. Neben den Synchronisationsprozessen wurden auch globale Bewegungscharakteristika wie Geschwindigkeit oder Maxima durch MEA erfasst. Des Weiteren wurden mittels Fragebögen individuelle Charakteristika (u.a. Empathie, Stimmung) sowie Einschätzungen (z.B. Sympathie) der Probanden erhoben und mit Synchronie in Zusammenhang gesetzt. Die Ergebnisse zeigen, dass sich nonverbale Synchronisation auf signifikant höherem Level manifestiert, als dies per Zufall erwartet werden könnte. Dabei war die Synchronisation in der spielerischen Kooperation am höchsten ausgeprägt - gefolgt von kompetitiven und (seriös-)kooperativen Interaktionen. Außerdem korrespondierten höhere Synchronisationswerte mit verstärkt positiven Affekten und verringerten negativen Emotionen. Darüber hinaus waren globale Bewegungsparameter wie Dauer und Komplexität oder der Prozentsatz von Bewegungen über dem Schwellenwert positiv mit Synchronisationsprozessen assoziiert. Das MEA-Verfahren sowie ein erstmals erprobtes Interaktionsparadigma konnten validiert werden.

EPA-1380 – Coordinated body-movement reflects psychotherapy outcome

Social interaction is a core aspect of human life that affects individuals’ physical and mental health. Social interaction usually leads to mutual engagement in diverse areas of mental, emotional, physiological and physical activity involving both interacting persons and subsequently impacting the outcome of interactions. A common approach to the analysis of social interaction is the study of the verbal content transmitted between sender and receiver. However, additional important processes and dynamics are occurring in other domains too, for example in the area of nonverbal behaviour: In a series of studies, we have looked at nonverbal synchrony – the coordination of two persons’ movement patterns – and it‘s association with relationship quality and with the outcome of interactions. Using a computer-based algorithm (Motion Energy Analysis, MEA: Ramseyer & Tschacher, 2011), which automatically quantifies a person‘s body-movement, we were able to objectively calculate nonverbal synchrony in a large number of dyads interacting in various settings. In a first step, we showed that the phenomenon of nonverbal synchrony exists at a level that is significantly higher than expected by chance. In a second step, we ascertained that across different settings – including patient-therapist dyads and healthy dyads – more synchronized movement was associated with better relationship quality and better interactional outcomes. The quality of a relationship is thus embodied by the synchronized movement patterns emerging between partners. Our studies suggest that embodied cognition is a valuable approach to research in social interaction, providing important clues for an improved understanding of interaction dynamics.

Kopf- und Körperbewegungen in sozialen Interaktionen als Indikatoren des Schweregrades schizophrener Störungen – Eine Replikation

Einleitung: Auffälligkeiten im nonverbalen Verhalten wurden bei schizophrenen Störungen seit jeher als diagnostisch relevant eingestuft. Sie weisen deutliche Beziehungen zu negativen Symptomen und zu Einschränkungen im sozialen Funktionsniveau auf, wurden jedoch bisher aufgrund methodischer Probleme nur selten objektiv erfasst. Wir konnten bereits zeigen, dass das objektiv erfasste Ausmaß an Bewegung von Patienten mit Schizophrenie in sozialen Rollenspielinteraktionen eng mit ihren Symptomprofilen verbunden sind (Kupper, Ramseyer, Hoffmann, & Tschacher, Sz Res, 2010). In der vorliegenden Studie wurde eine Replikation dieser Ergebnisse im Rahmen von halbstandardisierten PANSS-Interviews zur Psychopathologie versucht. Methode: In der vorliegenden Studie wurden bei 44 Patienten mit schizophrenen Störungen je eine 15-minütige Sequenz aus einem PANSS-Interview mittels Motion Energy Analyse (MEA) analysiert. MEA bezeichnet eine neuartige Methode durch die Körperbewegungen objektiv in Videoaufnahmen quantifiziert werden können. Bewegung wird dabei aufgrund der Frame-to-Frame-Veränderungen in den Grauwerten in vorher festgelegten Regionen erfasst. Ergebnisse: Es fanden sich deutliche und signifikante Zusammenhänge zwischen reduzierten Bewegungen der Patienten und dem Ausmaß an Negativsymptomatik. Auf der Ebene der einzelnen negativen Symptome waren wiederum besonders die affektiven Symptome mit reduzierte Bewegung verbunden. Damit konnten zentrale Ergebnisse der früheren Arbeit repliziert werden. Damit konnte ein zentrales Ergebnisse der früheren Arbeit repliziert werden. Bemerkenswert war, dass dies trotz der im Vergleich mit Rollenspielinteraktionen weniger stark strukturierten sozialen Interaktionen in den psychopathologischen Interviews gelang. Gesamthaft betrachtet unterstützen die hier und in früheren Arbeiteten berichten objektivierbaren Zusammenhänge zwischen Bewegung und dem Schweregrad schizophrener Störungen neue Zugänge sowohl in der grundlagenorientierten Forschung als auch bei klinischen Interventionen zur Verbesserung sozialer Fertigkeiten.

Head movement synchrony in social interactions of patients with schizophrenia indicates symptoms, cognition and social functioning

Background: Disturbed interpersonal communication is a core problem in schizophrenia. Patients with schizophrenia often appear disconnected and "out of sync" when interacting with others. This may involve perception, cognition, motor behavior, and nonverbal expressiveness. Although well-known from clinical observation, mainstream research has neglected this area. Corresponding theoretical concepts, statistical methods, and assessment were missing. In recent research, however, it has been shown that objective, video-based measures of nonverbal behavior can be used to reliably quantify nonverbal behavior in schizophrenia. Newly developed algorithms allow for a calculation of movement synchrony. We found that the objective amount of movement of patients with schizophrenia during social interactions was closely related to the symptom profiles of these patients (Kupper et al., 2010). In addition and above the mere amount of movement, the degree of synchrony between patients and healthy interactants may be indicative of various problems in the domain of interpersonal communication and social cognition. Methods: Based on our earlier study, head movement synchrony was assessed objectively (using Motion Energy Analysis, MEA) in 378 brief, videotaped role-play scenes involving 27 stabilized outpatients diagnosed with paranoid-type schizophrenia. Results: Lower head movement synchrony was indicative of symptoms (negative symptoms, but also of conceptual disorganization and lack of insight), verbal memory, patients’ self-evaluation of competence, and social functioning. Many of these relationships remained significant even when corrected for the amount of movement of the patients. Conclusion: The results suggest that nonverbal synchrony may be an objective and sensitive indicator of the severity of symptoms, cognition and social functioning.

Teamwork reduces physiological stress in junior surgeons

Objective: The quality of teamwork depends not only on communication skills but also on team familiarity and hierarchical structures. The aim of the present study is to evaluate the physiological impact of close teamwork between senior and junior surgeons performing elective open abdominal surgery for six months in stable teams. Methods: Physiological measurements of the main and junior surgeons were taken in a total of 40 procedures. Cumulative stress was assessed by the mea- surements of urine catecholamines (Adrenaline, Noradrenaline, Dopamine, Metanephrine, Normetanephrine). Heart rate variability was measured to assess temporal aspects of stress. The procedures were observed by a trained team of work psychologists. Direct observations of distractors, team inter- actions and communication were performed. Specific questionnaires were filled by members of the surgical team that include surgeons, nurses and anesthetists. Results: In junior surgeons, physiological stress is reduced over a period of close collaboration. Case-related communication is not stressful. However, tension within the surgical team is associated with increased levels of cat- echolamine in the urine of the senior surgeon. The difficulty of the oper- ation impacts on heart-rate variability of the junior but not of the senior surgeon. Conclusion: Junior surgeons may require months of teamwork within one stable team in order to reduce levels of physiological stress. Senior surgeons are more resistant to stressful clinical situations compared to junior surgeons but are vulnerable to tension within the surgical team.

Nonverbal synchrony in social interactions of patients with schizophrenia indicates socio-communicative deficits

Background Disordered interpersonal communication can be a serious problem in schizophrenia. Recent advances in computer-based measures allow reliable and objective quantification of nonverbal behavior. Research using these novel measures has shown that objective amounts of body and head movement in patients with schizophrenia during social interactions are closely related to the symptom profiles of these patients. In addition to and above mere amounts of movement, the degree of synchrony, or imitation, between patients and normal interactants may be indicative of core deficits underlying various problems in domains related to interpersonal communication, such as symptoms, social competence, and social functioning. Methods Nonverbal synchrony was assessed objectively using Motion Energy Analysis (MEA) in 378 brief, videotaped role-play scenes involving 27 stabilized outpatients diagnosed with paranoid-type schizophrenia. Results Low nonverbal synchrony was indicative of symptoms, low social competence, impaired social functioning, and low self-evaluation of competence. These relationships remained largely significant when correcting for the amounts of patients‘ movement. When patients showed reduced imitation of their interactants’ movements, negative symptoms were likely to be prominent. Conversely, positive symptoms were more prominent in patients when their interaction partners’ imitation of their movements was reduced. Conclusions Nonverbal synchrony can be an objective and sensitive indicator of the severity of patients’ problems. Furthermore, quantitative analysis of nonverbal synchrony may provide novel insights into specific relationships between symptoms, cognition, and core communicative problems in schizophrenia.

Video-based quantification of body movement indicates negative symptoms: a replication

Objective: In schizophrenia, abnormalities in nonverbal behaviors have always been considered as highly relevant. However, due to methodological limitations, nonverbal behavior was rarely quantified objectively. Recent methodological advances now allow a quantification of body movement from ordinary video recordings. We showed that patients’ objectively measured amount of movement in social role-play interactions was closely associated with their symptom profiles (Kupper, Ramseyer, Hoffmann, & Tschacher, Schizophrenia Research 2010). In the present study, a replication of these results in the context of semi-standardized PANSS (Positive and Negative Syndrome Scale) interviews was intended. Methods: 17 patients with schizophrenia were analyzed during the initial 15-min sequence of a videotaped PANSS interview using Motion Energy Analysis (MEA). The amount of patients’ movement was then correlated with their PANSS symptom scores. Results: Sizeable and significant correlations between negative symptoms and reduced movements (r = -.68, p<0.01) and reduced movement speed (r = -.80, p<0.001) were found. Moreover, cognitive symptoms were related to reduced movement speed (r = -.70, p<.01). Conclusion: Negative symptoms were reliably indicated by patients’ nonverbal behavior in psychopathology interviews. Hence, the main result of our earlier study, examining patients’ nonverbal behavior in role play tests, was replicated for the less structured interactions in psychopathological interviews. Results could encourage the use of MEA in a wide range of videotaped social interactions of patients with schizophrenia and other psychiatric disorders.

The temporal evolution of nonverbal synchrony in outpatient psychotherapy: An aggregation of single-case studies

Objective: The authors quantified nonverbal synchrony—the coordination of patient's and therapist's movement—in a random sample of same-sex psychotherapy dyads. The authors contrasted nonverbal synchrony in these dyads with a control condition and assessed its association with session-level and overall psychotherapy outcome. Method: Using an automated objective video analysis algorithm (Motion Energy Analysis; MEA), the authors calculated nonverbal synchrony in (n = 104) videotaped psychotherapy sessions from 70 Caucasian patients (37 women, 33 men, mean age = 36.5 years, SD = 10.2) treated at an outpatient psychotherapy clinic. The sample was randomly drawn from an archive (N = 301) of routinely videotaped psychotherapies. Patients and their therapists assessed session impact with self-report postsession questionnaires. A battery of pre- and postsymptomatology questionnaires measured therapy effectiveness. Results: The authors found that nonverbal synchrony is higher in genuine interactions contrasted with pseudointeractions (a control condition generated by a specifically designed shuffling procedure). Furthermore, nonverbal synchrony is associated with session-level process as well as therapy outcome: It is increased in sessions rated by patients as manifesting high relationship quality and in patients experiencing high self-efficacy. Higher nonverbal synchrony characterized psychotherapies with higher symptom reduction. Conclusions: The results suggest that nonverbal synchrony embodies the patients' self-reported quality of the relationship and further variables of therapy process. This hitherto overlooked facet of therapeutic relationships might prove useful as an indicator of therapy progress and outcome. (PsycINFO Database Record (c) 2015 APA, all rights reserved)