View clinical trials related to Behavior.
Filter by:This study will examine the effects of a school based exercise programme on anxiety and behaviour levels in children with autism.
Metacognition is the ability to introspect and report one's own mental states, or in other words to know how much one knows. It allows us to form a sense of confidence about decisions one makes in daily life, so one can commit to one option if our confidence is high, or seek for more evidence before commitment if our confidence is low. Although this function is crucial to behave adequately in a complex environment, confidence judgments are not always optimal. Notably, individuals with schizophrenia are prone to overconfidence in errors and underconfidence in correct answers. In schizophrenia, confidence is less correlated with performance compared to controls. These aspects are held to be at the origin of delusions, disorganization, poor insight into illness and into cognitive deficit and poor social functioning. Our study aims at identifying the cognitive and neural processes involved in metacognitive deficits in schizophrenia. Participants will perform metacognitive judgments on a low-level perceptual task (visual motion discrimination). Participants will do the first-order perceptual task by clicking on the correct answer with a mouse. During the first order task completion, the investigators will record several behavioral, physiological and neural variables. Then, participants will perform the metacognitive task with a visual analog scale. The study will address four research questions: - Q1: is schizophrenia associated with a decrease in metacognitive efficiency? Is the metacognitive deficit due to under- or over-confidence? - Q2: is the metacognitive impairment reflected at a decisional level as measured by behavioral variables (mouse tracking and reaction times)? - Q3: which physiological markers (EEG, skin conductance, heart rate) are predictors of metacognitive efficiency in individuals with schizophrenia and healthy controls? - Q4: which clinical symptoms correlate with metacognitive deficits? The investigators make several hypotheses related to the previous research questions: - Q1: the investigators expect metacognitive deficits in schizophrenia, based on results from several studies using both qualitative and quantitative measures. The investigators will rule out that quantitative deficits are not confounded with impairments in type 1 performance, with a generalized cognitive deficit in schizophrenia (lower premorbid and current Intelligence Quotient (IQ), and deficits in executive functioning and particularly in planning and working memory abilities), with depression or with statistical flaws during analysis of confidence. - Q2: the investigators expect behavioral cues (mouse tracking and reaction times) to be less correlated with confidence in patients vs. controls. The investigators thus make the hypothesis that the metacognitive deficit in schizophrenia may stem from an inability to integrate pre-decisional cues while performing an explicit metacognitive judgment. - Q3: the investigators expect physiological cues (EEG with Error-Related Negativity, Lateralized Readiness Potential and alpha suppression, and arousal of the autonomic nervous system with skin conductance and heart rate ) to be less correlated with confidence in patients vs. controls. - Q4: based on previous findings, the investigators expect that several clinical dimensions of schizophrenia may correlate with metacognitive performance. The metacognitive deficit would be greater for patients with high levels of positive and disorganized symptoms, and greater for patients with low levels of clinical and cognitive insight, and low levels of social functioning.
This study will take advantage of the open source framework of ResearchKit developed by Apple to bring research directly to participants. Using the ResearchKit platform as well as a stand alone app available for Android and HTML, it makes it easier to enroll large numbers of participants and carry out real-world health research to answer questions important to a broad population.
Aggressive behaviours in long-term care (LTC) is a difficult health care issue to manage. One method that has been over-used is the prescription of antipsychotics for the behaviours and psychological symptoms of dementia (BPSD). This high prevalence of use is a recognized health care problem in Ontario and around the world; increased antipsychotics use is associated with increased falls and mortality. Existing strategies are educational in nature and are not systematic; the goal of this study is to develop a systematic algorithm to help LTC physicians deprescribe and taper antipsychotics safely and effectively. The objectives of the study is to: 1) Develop a discontinuation algorithm for antipsychotics based on single patient open-label (SPOT) trial methodology (e.g. a variation of N-of-1 trials) with standardized outcome measures for LTC physicians; 2) To pilot a clinical pharmacist-led recruitment strategy; 3) To provide preliminary evidence to demonstrate that this algorithm could lead to deprescribing of anti-psychotic medications in LTC.
Computer-generated clinical reminders offered to providers will improve compliance with care guidelines and impact outcomes in resource-limited clinics.