Attentional biases to threatening stimuli have been suggested to play a key role in the onset and course of schizophrenia. However, current research has not completely demonstrated this assumption. The aim of this eye-tracking study was to shed light on the underlying psychological mechanisms of schizophrenia by examining the attentional processing of socio-emotional information. Forty-four individuals with schizophrenia and 47 healthy controls were assessed in a 3-s free-viewing task with a social scene (i.e., happy, threatening, or neutral) in competition with a non-social one to determine the effects of emotional information on the different stages of the attentional processing. The location and latency of initial fixations (i.e., initial orienting), the firs-pass fixations and gaze duration (i.e., attentional engagement), and the percentage of total duration and total fixations (i.e., attentional maintenance) were analyzed. It was found that the schizophrenia group showed longer first-pass gaze duration, as well as higher percentage of total fixations and total duration toward threatening scenes in relation to the non-social ones, compared to controls. Therefore, an attentional bias toward threatening scenes in schizophrenia was found in the attentional maintenance and engagement, but not in the initial orienting of attention. Of note, the threat-related attentional bias was not associated with positive symptoms of schizophrenia. These findings offer empirical support to affective-information processing models stating that threatening information may confer psychological vulnerability to develop schizophrenia. Moreover, the results can improve psychological treatments, such as attentional bias modification paradigms or cognitive-behavior interventions managing maladaptive schemas related to threat.
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http://dx.doi.org/10.1016/j.jpsychires.2021.09.044 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, PR China.
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View Article and Find Full Text PDFPLoS One
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School of Behavioral Sciences, The Academic College of Tel Aviv-Yafo, Tel Aviv, Israel.
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View Article and Find Full Text PDFPLoS One
January 2025
Engineering Research Center of Hydrogen Energy Equipment& Safety Detection, Universities of Shaanxi Province, Xijing University, Xi'an, China.
The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. Initially, images of high-quality, moldy, and broken corn were collected.
View Article and Find Full Text PDFJ Neuropsychol
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Department of Aged Care and Rehabilitation, Liverpool Hospital, Sydney, New South Wales, Australia.
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Faculty of Physical Activity and Sport Sciences (INEF), Sports Department, Universidad Politécnica de Madrid (UPM), Madrid, Spain.
Soccer players must react quickly and execute complex mental processes to adapt to competitive scenarios while maintaining peak physical performance. Perceptual-cognitive training methods integrate reaction tasks using nonspecific visual stimuli with game-like motor actions, but the impact on explosive strength responses is unclear. This study investigates the effect of nonspecific visual stimuli with varying perceptual-cognitive constraints on jump performance, including countermovement jump height, reactive strength index modified, action time, and reaction time.
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