In face recognition, looking at the eyes has been associated with engagement of local attention, as well as better recognition performance. As recent research has suggested negative mood facilitates local attention while positive mood facilitates global attention, negative mood changes may lead to more eyes-focused eye movement patterns and consequently enhance recognition performance. Here we test this hypothesis using mood induction. Through eye movement analysis with hidden Markov models, we discovered eyes-focused and nose-focused eye movement strategies in the participants, and the eyes-focused strategy was associated with better recognition performance. During the recognition phase, participants with a negative mood change had increased eye movement pattern similarity to the eyes-focused strategy, and participants’ mood change was correlated with eye movement pattern similarity change. Nevertheless, mood change did not significantly change participants’ eye movement strategy classification despite changes in eye movement pattern similarity, and the eye movement pattern similarity change did not modulate recognition performance. These results suggest that mood changes through mood induction lead to slight changes in eye movement pattern that may not be sufficient to modulate recognition performance. Thus, individuals may have preferred eye movement strategies in face recognition impervious to transitory mood changes. This finding is consistent with a recent speculation on limited plasticity in adult face recognition and suggests that eye movements in face recognition may provide reliable information about an individual’s cognitive abilities.
Greater eyes-focused eye movement pattern during face recognition is associated with better performance in adults but not in children. We test the hypothesis that higher eye movement consistency across trials, instead of a greater eyes-focused pattern, predicts better performance in children since it reflects capacity in developing visual routines. We first simulated visual routine development through combining deep neural network and hidden Markov model that jointly learn perceptual representations and eye movement strategies for face recognition. The model accounted for the advantage of eyes-focused pattern in adults, and predicted that in children (partially trained models) consistency but not pattern of eye movements predicted recognition performance. This result was then verified with data from typically developing children. In addition, lower eye movement consistency in children was associated with autism diagnosis, particularly autistic traits in social skills. Thus, children’s face recognition involves visual routine development through social exposure, indexed by eye movement consistency.
Western blotting is a standard laboratory method used to detect proteins and assess their expression levels. Unfortunately, poor western blot image display practices and a lack of detailed methods reporting can limit a reader’s ability to evaluate or reproduce western blot results. While several groups have studied the prevalence of image manipulation or provided recommendations for improving western blotting, data on the prevalence of common publication practices are scarce. We systematically examined 551 articles published in the top 25% of journals in neurosciences (n=151) and cell biology (n=400) that contained western blot images, focusing on practices that may omit important information. Our data show that most published western blots are cropped and blot source data are not made available to readers in the supplement. Publishing blots with visible molecular weight markers is rare, and many blots additionally lack molecular weight labels. Western blot methods sections often lack information on the amount of protein loaded on the gel, blocking steps and antibody labeling protocol. Important antibody identifiers like source, catalog number or RRID were omitted frequently for primary antibodies, and regularly for secondary antibodies. We present detailed descriptions and visual examples to help scientists, peer reviewers and editors to publish more informative western blot figures and methods. Additional resources include a toolbox to help scientists produce more reproducible western blot data, teaching slides in English and Spanish and an antibody reporting template.
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