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Int J Environ Res Public Health


Title:Randomized Trial on the Effects of a Group EMDR Intervention on Narrative Complexity and Specificity of Autobiographical Memories: A Path Analytic and Supervised Machine-Learning Study
Author(s):Poli A; Gemignani A; Miccoli M;
Address:"Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy. Department of Surgical, Medical and Molecular Pathology and of Critical Care Medicine, University of Pisa, 56126 Pisa, Italy"
Journal Title:Int J Environ Res Public Health
Year:2022
Volume:20220623
Issue:13
Page Number: -
DOI: 10.3390/ijerph19137684
ISSN/ISBN:1660-4601 (Electronic) 1661-7827 (Print) 1660-4601 (Linking)
Abstract:"Narratives of autobiographical memories may be impaired by adverse childhood experiences, generating narrative fragmentation and increased levels of perceived distress. Eye movement desensitization and reprocessing (EMDR) proved to be an effective treatment to overcome traumatic experiences and to promote coherent autobiographical narratives. However, the specific mechanisms by which EMDR promotes narrative coherence remains largely unknown. We conducted a randomized controlled pilot trial (ClinicalTrials.gov Identifier NCT05319002) in a non-clinical sample of 27 children recruited in a primary school. Participants were randomly assigned to the experimental and control groups. The experimental group underwent a three-week group EMDR intervention. Subjective unit of distress (SUD), validity of cognition (VoC), classification of autobiographical memories, narrative complexity and specificity were assessed before and after the group EMDR intervention. The group EMDR intervention was able to improve SUD and VoC scales, narrative complexity and specificity, and promoted the classification of autobiographical memories as relational. The path analysis showed that SUD was able to predict VoC and narrative specificity, which, in turn, was able to predict both narrative complexity and the classification of autobiographical memories as relational. Machine-learning analysis showed that random tree classifier outperformed all other models by achieving a 93.33% accuracy. Clinical implications are discussed"
Keywords:"Child *Eye Movement Desensitization Reprocessing Humans Machine Learning *Memory, Episodic Treatment Outcome *Volatile Organic Compounds Emdr autobiographical memory childhood cognition distress narrative complexity narrative specificity psychological tra;"
Notes:"MedlinePoli, Andrea Gemignani, Angelo Miccoli, Mario eng Randomized Controlled Trial Switzerland 2022/07/10 Int J Environ Res Public Health. 2022 Jun 23; 19(13):7684. doi: 10.3390/ijerph19137684"

 
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