Examining HPA-axis functioning as a mediator of the relationship between depression and cognition across the adult lifespan

Altered HPA-axis functioning is a hypothesized mechanism for worsened cognition in depression. The current study examines the indirect effects of depression on processing speed, executive functioning, and memory as a function of the HPA-axis. 38 individuals with a depression diagnosis and 50 healthy controls (HCs) aged 18–86 underwent neuropsychological testing and at-home diurnal salivary cortisol collection. Depression was assessed via structured clinical interviews and rating scales. Cognitive composite scores were derived from factor analysis. Daytime cortisol exposure was estimated using area under the curve (AUC). Depression was associated with higher cortisol levels and slower processing speed . A significant suppression effect of AUC was present on the relationship between depression and processing speed. Limitations include the cross-sectional design and limited sample heterogeneity. Though poorly modulated HPA-axis is one proposed mechanism of cognitive alterations in depression, our results did not support this conclusion for processing speed. Alternative mechanisms should be considered to inform interventions to target cognitive alterations in depression.     

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

Computer Aided Decision (CAD) systems, based on 3D tomosynthesis imaging, could support radiologists in classifying different kinds of breast lesions and then improve the diagnosis of breast cancer (BC) with a lower X-ray dose than in Computer Tomography (CT) systems.In previous work, several Convolutional Neural Network (CNN) architectures were evaluated to discriminate four different classes of lesions considering high-resolution images automatically segmented: (a) irregular opacity lesions, (b) regular opacity lesions, (c) stellar opacity lesions and (d) no-lesions. In this paper, instead, we use the same previously extracted relevant Regions of Interest (ROIs) containing the lesions, but we propose and evaluate two different approaches to better discriminate among the four classes.In this work, we evaluate and compare the performance of two different frameworks both considering supervised classifiers topologies. The first framework is feature-based, and consider morphological and textural hand-crafted features, extracted from each ROI, as input to optimised Artificial Neural Network (ANN) classifiers. The second framework, instead, considers non-neural classifiers based on automatically computed features evaluating the classification performance extracting several sets of features using different Convolutional Neural Network models.Final results show that the second framework, based on features computed automatically by CNN architectures performs better than the first approach, in terms of accuracy, specificity, and sensitivity.     

药物成瘾者决策缺陷的特征、机制及干预

药物成瘾者存在决策缺陷, 并表现出冲动性、风险寻求、奖赏失调、躯体内感信号缺失等特征。神经影像学研究表明药物滥用导致成瘾者背外侧前额皮层、前扣带回、眶额叶皮层、腹内侧前额皮层、杏仁核、脑岛等脑区受损, 这些损伤是引发其决策缺陷的主要原因。认知训练有利于提高个体的决策能力, 如目标管理训练和正念冥想等可以增强个体工作记忆、促进自我觉察和以目标为导向的行为; 而非侵入性脑刺激则可以直接改变与成瘾者决策相关脑区的激活状态, 从而提升与决策相关的认知功能。总体而言, 未来认知训练和非侵入性脑刺激在成瘾干预方面仍有广阔的拓展空间。     

书写对阅读的影响——来自传统书写与电脑打字的证据

书写和阅读是在文字的基础上发展起来的, 二者存在共享的神经网络。书写能影响阅读, 阅读不仅依靠视觉加工, 还依赖书写运动表征。不同书写方式对阅读的影响不同, 传统书写对阅读有促进作用, 电脑打字对阅读产生了一定的消极影响。对汉字来说, 传统书写能加强汉字的正字法表征, 促进汉字阅读; 电脑打字对汉字阅读的影响尚无一致结论。未来研究可以考察传统书写与电脑打字神经机制的差异, 以及电脑打字对汉字认知加工的影响及神经机制。     

音乐的神经美学：从审美反应到神经基础

近年来, 随着音乐的神经科学与神经美学的发展, 逐渐形成一个新的研究领域, 即音乐的神经美学。这一研究领域关注音乐审美的心理过程和神经机制, 将注意力集中于音乐审美活动中的感知、认知和情感解释。音乐审美加工引起了相应的审美反应, 其中有三种音乐审美反应得到研究者更多的关注, 即音乐审美情绪、判断与偏好。研究者围绕这三种反应, 对音乐审美反应的知觉、认知、情绪加工和影响因素以及其神经机制展开研究。这些研究为我们理解音乐和美学的行为与神经机制提供了经验性证据。     

多项式加工树模型在社会心理学中的应用

多项式加工树（multinomial processing tree, MPT）从理论模型出发,使用多项式模型来拟合行为数据并估计理论模型中各个加工过程发生的可能性。该模型能够有效分离和量化不同心理过程,被广泛应用于社会认知研究之中,如态度、刻板印象等。本文首先介绍该模型的基本原理及其实现,并以道德判断为例说明其在社会心理学中的最新应用。最后,总结其对社会心理学研究的意义,即可以作为一种方法提高研究的效度和精度,具有较高的实用价值,并指出其潜在不足。     

Is Detecting a Target in a Compound Geometric Shape Influenced by Stimulus Density? A Developmental Study

We studied the pattern of performance in elementary school children and adults detecting a target in compound geometric shapes. The target was randomly presented at the global, local, or neither level of compound shapes with different elemental density. A significant difference between the pattern of performance in children and adults emerged when the geometric shape was constructed with fewer constituent parts. That is, children showed difficulties in recognizing the global level while adults could efficiently process it. We suggest that global processing continues to develop as children grow older. Also, integration ability could benefit from increasing familiarity with the geometric concepts.     

Super‐recognizers: From the lab to the world and back again

The recent discovery of individuals with superior face processing ability has sparked considerable interest amongst cognitive scientists and practitioners alike. These ‘Super‐recognizers’ (SRs) offer clues to the underlying processes responsible for high levels of face processing ability. It has been claimed that they can help make societies safer and fairer by improving accuracy of facial identity processing in real‐world tasks, for example when identifying suspects from Closed Circuit Television or performing security‐critical identity verification tasks. Here, we argue that the current understanding of superior face processing does not justify widespread interest in SR deployment: There are relatively few studies of SRs and no evidence that high accuracy on laboratory‐based tests translates directly to operational deployment. Using simulated data, we show that modest accuracy benefits can be expected from deploying SRs on the basis of ideally calibrated laboratory tests. Attaining more substantial benefits will require greater levels of communication and collaboration between psychologists and practitioners. We propose that translational and reverse‐translational approaches to knowledge development are critical to advance current understanding and to enable optimal deployment of SRs in society. Finally, we outline knowledge gaps that this approach can help address.     

Behavioral assessment of auditory processing deficits in schizophrenia: Literature review and suggestions for future research

During the last decades, a considerable number of studies about auditory processing deficits in schizophrenia have been published, some of them using the term of Auditory Processing Disorder (APD). Due to heterogeneous methodology and inconsistent results concrete conclusions may not be straightforward. We focused on studies that used at least one behavioral test for the assessment of auditory processing in schizophrenia, in order to identify new evidence on auditory processing deficits in schizophrenia, and to consider fields for future research. 28 studies met inclusion criteria and are presented in this review. The articles were divided into three groups, those that implemented a test battery approach, those that used only Dichotic Listening (DL), those that used DL along with imaging or electrophysiology techniques. Most of the studies that implemented a test battery showed significant performance differences between patients and controls. This indicates APD presence. Due to the limited number of studies implementing a test battery, this is not conclusive. The majority of all studies that used a DL task showed that patients' performance or laterality was significantly lower than that of controls. Age, duration of illness, total and specific positive symptoms seem to affect significantly DL performance and auditory laterality. The results support the existence of various schizophrenia subgroups that differ in their auditory processing performance, and also have structural and functional specificities. Further research in the field is needed, especially studies that implement a test battery, and studies that examine possible correlations between clinical variables and auditory processing deficits.     

Linguistic Complexity,Information Processing,and Public Acceptance of Supreme Court Decisions

Scholars suggest that judges have an incentive to use complex language to increase support for their decisions. Research on the effects of processing fluency, however, points towards a different set of expectations. Using a survey experiment, we manipulate the complexity of the language conveying two Court decisions and two types of source cue. For the less polarizing of the two decisions, we find that by decreasing processing fluency, complex decision language can both decrease acceptance of the decision and diminish the importance of source cues in arriving at this judgment. Legalistic terminology, however, increases acceptance.