Mental and behavioural disorders

In this chapter some mental disorders are described. For example, in depression, fluoxetine treatment and a placebo treatment affect similar brain regions. In anxiety, patients’ expectations play a crucial role, as covert (unexpected) administration of anti-anxiety drugs is less effective than overt (expected) administration. The disruption of prefrontal executive control in Alzheimer’s disease decreases the magnitude of placebo responses. In addition, expectations appear to be particularly important when associated with the effects of drugs of abuse. Placebo effects appear to be powerful in psychotherapy as well, and the brain areas involved in the psychotherapeutic outcome are different from those involved in the placebo effect. As clinical trials for psychotherapeutic interventions represent a major problem, new recommendations are presented.

Automatic Analysis of Psychotherapy Videos by Using Synchrony Signal

IntroductionSome techniques of psychotherapy are now widely evidence-based and very cost effective, especially cognitive and behavioral therapies. Most of the studies are indirectly based on patient reported outcomes or problematic behaviors evaluated before and after the psychotherapy. Unfortunately, studies struggle to control for what is actually happening during psychotherapy, especially the non-specific aspects, like the interaction between the patient and the therapist, that is a known predictor of psychotherapeutic efficacy. Consequently, it is difficult to make precise links between theory and practice, control its application and understand which of its ingredients are the most important.ObjectivesHere, we suggest a research framework to extract automatically social signals from psychotherapy videos. We focused on the extraction of synchrony of the motor signal since it was considered to be a predictor of psychotherapeutic outcome in an earlier study and a relevant signal for the study of mother-child interactions.MethodsWe developed open source python and R scripts to compute this synchrony of motion history on a database of interaction between a parent and a child http://bit.ly/syncpsyResultsWe confirmed that synchrony, was a relevant signal for studying social interactions since the scores are completely different from synchrony scores computed on shuffle motion history data. However, these scores alone are unable to distinguish the two periods of the videos (with and without disagreement).ConclusionSynchrony of motion history is a promising marker of social interactions.