Social priming enhances interpersonal synchronization and feeling of connectedness towards schizophrenia patients

Raffard, Stéphane; Salesse, Robin N.; Marín, Ludovic; Del-Monte, Jonathan; Schmidt, R. C.; Varlet, Manuel; Bardy, Benoît G.; Boulenger, Jean‐Philippe; Capdevielle, Delphine

doi:10.1038/srep08156

Cited by 35 publications

(30 citation statements)

References 54 publications

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“…Many studies have found indicators of persistent problems of nonverbal communication in patients with schizophrenia, such as reduced facial expression [ 30 – 33 ]. Their deficits in social skills have been analyzed using observer-based rating scales [ 17 , 34 ], and more recently, with objective measures of movement [ 21 , 22 , 35 – 38 ]. Nonverbal behavior in patients with schizophrenia can be assessed objectively using ordinary video recordings.…”

Section: Introductionmentioning

confidence: 99%

Nonverbal Synchrony in Social Interactions of Patients with Schizophrenia Indicates Socio-Communicative Deficits

et al. 2015

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BackgroundDisordered 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.MethodsNonverbal 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.ResultsLow 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.ConclusionsNonverbal 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.

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Section: Introductionmentioning

confidence: 99%

Nonverbal Synchrony in Social Interactions of Patients with Schizophrenia Indicates Socio-Communicative Deficits

et al. 2015

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“…The coordination dynamics approach offers experimental paradigms for scrutinizing specific aspects of bodily connectedness, which may help to assess defining characteristics of autism, such as poor social initiative and reciprocity. To enhance the sensitivity of the proposed empirical methods additional modulations of the social setting may be applied, such as implicit social priming (Raffard et al, 2015). …”

Section: Resultsmentioning

confidence: 99%

“…In TD individuals, matching and synchronization of bodily movements are associated with (psychological) characteristics of the interactants and the quality of their relationship, such as self-esteem (Lumsden et al, 2014), pro-social attitudes (Lumsden et al, 2012), physical attractiveness (Zhao et al, 2015), rapport (Hove and Risen, 2009; Raffard et al, 2015), and perceived social difference (Miles et al, 2011). Moreover, moving in synchrony fosters cooperative abilities (Wiltermuth and Heath, 2009; Valdesolo et al, 2010).…”

Section: Bodily Connectedness As Marker For Social Abilitiesmentioning

confidence: 99%

Autism in Action: Reduced Bodily Connectedness during Social Interactions?

2016

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Autism is a lifelong disorder, defined by deficits in social interactions and flexibility. To date, diagnostic markers for autism primarily include limitations in social behavior and cognition. However, such tests have often shown to be inadequate for individuals with autism who are either more cognitively able or intellectually disabled. The assessment of the social limitations of autism would benefit from new tests that capture the dynamics of social initiative and reciprocity in interaction processes, and that are not dependent on intellectual or verbal skills. New entry points for the development of such assessments may be found in ‘bodily connectedness’, the attunement of bodily movement between two individuals. In typical development, bodily connectedness is related to psychological connectedness, including social skills and relation quality. Limitations in bodily connectedness could be a central mechanism underlying the social impairment in autism. While bodily connectedness can be minutely assessed with advanced techniques, our understanding of these skills in autism is limited. This Perspective provides examples of how the potential relation between bodily connectedness and specific characteristics of autism can be examined using methods from the coordination dynamics approach. Uncovering this relation is particularly important for developing sensitive tools to assess the tendency to initiate social interactions and the dynamics of mutual adjustments during social interactions, as current assessments are not suited to grasp ongoing dynamics and reciprocity in behavior. The outcomes of such research may yield valuable openings for the development of diagnostic markers for autism that can be applied across the lifespan.

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“…24, 51 Consequently, interaction with artificial agents could become a part of future therapeutic protocols that would allow for real-time monitoring of therapy progress.…”

Section: Discussionmentioning

confidence: 99%

Unravelling socio-motor biomarkers in schizophrenia

et al. 2017

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We present novel, low-cost and non-invasive potential diagnostic biomarkers of schizophrenia. They are based on the ‘mirror-game’, a coordination task in which two partners are asked to mimic each other’s hand movements. In particular, we use the patient’s solo movement, recorded in the absence of a partner, and motion recorded during interaction with an artificial agent, a computer avatar or a humanoid robot. In order to discriminate between the patients and controls, we employ statistical learning techniques, which we apply to nonverbal synchrony and neuromotor features derived from the participants’ movement data. The proposed classifier has 93% accuracy and 100% specificity. Our results provide evidence that statistical learning techniques, nonverbal movement coordination and neuromotor characteristics could form the foundation of decision support tools aiding clinicians in cases of diagnostic uncertainty.

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Social priming enhances interpersonal synchronization and feeling of connectedness towards schizophrenia patients

Cited by 35 publications

References 54 publications

Nonverbal Synchrony in Social Interactions of Patients with Schizophrenia Indicates Socio-Communicative Deficits

Nonverbal Synchrony in Social Interactions of Patients with Schizophrenia Indicates Socio-Communicative Deficits

Autism in Action: Reduced Bodily Connectedness during Social Interactions?

Unravelling socio-motor biomarkers in schizophrenia

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