Toni D Pikoos, Amy Malcolm, David J Castle, Susan L Rossell
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引用次数: 0
Abstract
Objective: Abnormal visual processing has been proposed as a mechanism underlying excessive focus on minor appearance flaws in body dysmorphic disorder (BDD). Existing BDD research has not differentiated the various stages of face processing (featural, first-order configural, holistic and second-order configural) that are required for higher-order processes such as emotion recognition. This study investigated a hierarchical visual processing model to examine the nature of abnormalities in face processing in BDD.
Method: Thirty BDD participants and 27 healthy controls completed the Navon task, a featural and configural face processing task and a facial emotion labelling task.
Results: BDD participants performed similarly to controls when processing global and local non-face stimuli on the Navon task, when detecting subtle changes in the features and spacing of a target face, and when labelling emotional faces. However, BDD participants displayed poorer performance when viewing inverted faces, indicating difficulties in configural processing.
Conclusions: The findings only partially support prior work. However, synthesis of results with previous findings indicates that heterogenous task methodologies may contribute to inconsistent findings. Recommendations are provided regarding the task parameters that appear most sensitive to abnormalities in BDD.
期刊介绍:
Cognitive Neuropsychiatry (CNP) publishes high quality empirical and theoretical papers in the multi-disciplinary field of cognitive neuropsychiatry. Specifically the journal promotes the study of cognitive processes underlying psychological and behavioural abnormalities, including psychotic symptoms, with and without organic brain disease. Since 1996, CNP has published original papers, short reports, case studies and theoretical and empirical reviews in fields of clinical and cognitive neuropsychiatry, which have a bearing on the understanding of normal cognitive processes. Relevant research from cognitive neuroscience, cognitive neuropsychology and clinical populations will also be considered.
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