Individuals suffering from Body Integrity Dysphoria (BID) have the longstanding desire for amputation (BID-A) or palsy (BID-P). Most findings on mental aspects of BID are based on self-reports from sufferers. The aim of this pilot study is to examine cognitive and affective processes beyond what is accessible by self-reports. Therefore, n=5 BID-A, n=3 BID-P-sufferers, n=22 healthy controls and n=8 patients with body dysmorphic disorder (a further group with a strong desire for body modification) were tested. Selective attention bias (eye-tracking), tendency towards false memory (DRM-paradigm) and lack of affective involvement in the unwanted body part (induction and destruction of a rubber-hand/foot-illusion) were examined. Descriptive comparison of the groups showed that BID-A-sufferers fixated amputation stumps faster and longer than any other group and showed a reduced fear response when the body illusion was destroyed. There was no indication of a higher tendency towards false memory in either BID-group. Due to the small sample size, these results cannot be generalized. However, findings showed that BID-symptoms and underlying processes can be accessed in more ways than through self-reports. Moreover, results indicate that BID-A-sufferers selective attention and affective involvement differ from people not desiring an amputation. Understanding these processes may help developing an etiological model, identifying subtypes, and deriving treatment approaches.
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http://dx.doi.org/10.1055/a-1099-9925 | DOI Listing |
Behav Sci (Basel)
January 2025
School of Psychology, Central China Normal University, Wuhan 430079, China.
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December 2024
Department of Education, "Roma Tre" University, 00185 Rome, Italy.
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January 2025
Department of Psychology, City College, City University of New York, New York, NY 10031.
Looking at the world often involves not just seeing things, but feeling things. Modern feedforward machine vision systems that learn to perceive the world in the absence of active physiology, deliberative thought, or any form of feedback that resembles human affective experience offer tools to demystify the relationship between seeing and feeling, and to assess how much of visually evoked affective experiences may be a straightforward function of representation learning over natural image statistics. In this work, we deploy a diverse sample of 180 state-of-the-art deep neural network models trained only on canonical computer vision tasks to predict human ratings of arousal, valence, and beauty for images from multiple categories (objects, faces, landscapes, art) across two datasets.
View Article and Find Full Text PDFJ Fam Psychol
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Department of Psychology, University of Nebraska-Lincoln.
Emerging research indicates that dehumanization may occur in couples with serious consequences; however, this research is in its infancy, and there is a need to integrate dehumanization perspectives with key theories of intimate relationships to best understand this phenomenon. Drawing on work on individuation in couples, we present an integrated framework of dehumanizing deindividuation that is characterized by derogation (viewing a partner with contempt), disregard (ignoring or overlooking a partner), and denial of autonomy (restricting a partner's self-determination). We present data from two samples highlighting the reliability and validity of a new measure, the Dehumanizing Deindividuation in Couples (DDC) scale, which was internally consistent and had excellent construct replicability.
View Article and Find Full Text PDFFront Syst Neurosci
January 2025
International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy.
This study examines the impact of positive and negative feedback on recall of past decisions, focusing on behavioral performance and electrophysiological (EEG) responses. Participants completed a decision-making task involving 10 real-life scenarios, each followed by immediate positive or negative feedback. In a recall phase, participants' accuracy (ACC), errors (ERRs), and response times (RTs) were recorded alongside EEG data to analyze brain activity patterns related to recall.
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