Brain tumor detection using fusion of hand crafted and deep learning features

The perilous disease in the worldwide now a days is brain tumor. Tumor affects the brain by damaging healthy tissues or intensifying intra cranial pressure. Hence, rapid growth in tumor cells may lead to death. Therefore, early brain tumor diagnosis is a more momentous task that can save patient from adverse effects. In the proposed work, the Grab cut method is applied for accurate segmentation of actual lesion symptoms while Transfer learning model visual geometry group (VGG-19) is fine-tuned to acquire the features which are then concatenated with hand crafted (shape and texture) features through serial based method. These features are optimized through entropy for accurate and fast classification and fused vector is supplied to classifiers. The presented model is tested on top medical image computing and computer-assisted intervention (MICCAI) challenge databases including multimodal brain tumor segmentation (BRATS) 2015, 2016, and 2017 respectively. The testing results with dice similarity coefficient (DSC) achieve 0.99 on BRATS 2015, 1.00 on BRATS 2015 and 0.99 on BRATS 2017 respectively.     

Generate,maintain, manipulate? Exploring the multidimensional nature of motor imagery

Motor imagery (MI), the mental rehearsal of a motor task, is thought to be a synergistic interaction between processes that allow for the generation, maintenance, and manipulation, of motor images. While our understanding of the multidimensional nature of MI stems from research examining various methods to assess MI ability, limited research has been conducted employing multiple assessments across participants to probe the underlying dimensions of MI. Accordingly, the current study sought to explore the multidimensional nature of MI using an exploratory approach that would allow for the dimensions of imagery to be examined and linked to each assessment measure. Specifically, participants (N = 81) underwent a battery of MI-assessments (including questionnaires, mental chronometry, a hand laterality judgment task, and a MI-based learning task), and data was analyzed via principal component analysis (PCA). Three components resulted, which were named based on which outcome measures loaded on to the component: generation, maintenance, and manipulation of motor images. We further discuss a fourth component, named ‘temporal sequencing’ of motor images, identified via the initial component solution. Concordant with previous research, we highlight the importance of employing multiple measures when assessing imagery ability prior to its use in training. Notably, this work allowed us to link assessments of MI to the different dimensions of MI, informing on the nature of MI.     

人声加工的神经机制

人声是人类听觉环境中最熟知和重要的声音, 传递着大量社会相关信息。与视觉人脸加工类似, 大脑对人声也有着特异性加工。研究者使用电生理、脑成像等手段找到了对人声有特异性反应的脑区, 即颞叶人声加工区(TVA), 并发现非人类动物也有类似的特异性加工区域。人声加工主要涉及言语、情绪和身份信息的加工, 分别对应于三条既相互独立又相互作用的神经通路。研究者提出了双通路模型、多阶段模型和整合模型分别对人声的言语、情绪和身份加工进行解释。未来研究需要进一步讨论人声加工的特异性能否由特定声学特征的选择性加工来解释, 并深入探究特殊人群(如自闭症和精神分裂症患者)的人声加工的神经机制。     

多感觉整合中的声音诱发闪光错觉效应

声音诱发闪光错觉效应是典型的视听整合错觉现象, 是指当视觉闪光刺激与间隔100 ms内的听觉声音刺激不等数量呈现时, 被试知觉视觉闪光的数量与听觉声音的数量相等。声音诱发闪光错觉的影响因素既包括自下而上和自上而下的被试内差异因素, 也包括视听刺激依赖程度、视听整合的发展和视听刺激知觉敏感性等被试间差异因素。该效应的产生在时程上主要体现在早期加工阶段, 在脑区上主要涉及多处皮层及皮层下相关脑区。未来研究应进一步考察注意、奖赏和视听整合方式等认知加工对声音诱发闪光错觉的影响, 同时也应该关注声音诱发闪光错觉对记忆和学习的影响以及结合计算模型和神经科学的手段进一步探讨其认知神经机制。     

眼音距：一个揭示朗读过程中词汇加工的核心指标

朗读是一种出声的阅读方式,而测量朗读过程的一个重要的眼动指标就是眼音距。眼音距是指朗读过程中注视点和发音点之间的时间或空间距离,虽然这个概念早在1920年就提出来了,但直到近十年才受到较多关注,而对于其适用范围及心理学意义,认识尚不充分。本文从眼音距的概念提出和发展入手,分别分析了起始眼音距和结尾眼音距的计算方法和心理学意义,以及它们在快速命名和自然文本朗读任务中对阅读能力和认知控制的反映。未来研究可借助眼音距的特点和优势,进一步探讨朗读过程中副中央凹预视加工的特点和认知控制,以及揭示特殊群体在语言加工缺陷上的发生机制。     

民警社交媒体自我呈现对工作满意度的影响—积极情绪的中介作用

为探讨民警在社交媒体中自我呈现策略与工作满意度的关系,以及积极情绪的中介作用,采用积极情感消极情感量表、工作满意度量表以及自我呈现问卷对242名民警进行问卷调查,结果表明：（1）民警在社交媒体中的积极自我呈现和真实自我呈现分别与积极情绪、工作满意度两两之间显著正相关,积极自我呈现与积极情绪、工作满意度的相关性更高;（2）民警在社交媒体中的积极自我呈现和真实自我呈现对工作满意度有正向预测作用,并通过积极情绪的中介作用对工作满意度产生影响。     

焦虑和抑郁对正负性注意偏向的影响：注意控制的中介作用

采用状态-特质焦虑量表、流调抑郁量表、注意控制量表和正负性信息注意量表,对481名在校大学生进行调查研究,考察了焦虑、抑郁对注意偏向的影响,并探讨了注意控制在其中的中介作用。研究发现：（1）正性注意偏向与注意控制呈正相关,与状态焦虑、特质焦虑和流调抑郁呈负相关;负性注意偏向与注意控制呈负相关,与状态焦虑、特质焦虑和流调抑郁呈正相关。（2）特质焦虑、注意集中、注意转移可显著预测正性注意偏向,状态焦虑、流调抑郁和注意集中则显著预测负性注意偏向。（3）注意转移和注意集中中介了状态焦虑、特质焦虑、流调抑郁和正、负性注意偏向间的关系。研究提示注意控制是一个重要的保护性因素,可缓解或消除焦虑和抑郁对注意偏向的负面影响。     

Remarks on Penrose’s “New Argument”

It is commonly agreed that the well-known Lucas–Penrose arguments and even Penrose’s ‘new argument’ in [Penrose, R. (1994): Shadows of the Mind, Oxford University Press] are inconclusive. It is, perhaps, less clear exactly why at least the latter is inconclusive. This note continues the discussion in [Lindström, P. (2001): Penrose’s new argument, J. Philos. Logic 30, 241–250; Shapiro, S.(2003): Mechanism, truth, and Penrose’s new argument, J. Philos. Logic 32, 19–42] and elsewhere of this question.     

Young adult follow-up of hyperactive children: self-reported psychiatric disorders,comorbidity, and the role of childhood conduct problems and teen CD

We report on the psychiatric disorders present at young adult follow-up (Mean age 20–21 years; 13 + year follow-up) and the comorbidity among them for a large sample of hyperactive (H; N = 147) and community control (CC; N = 71) children. The H group had a significantly higher risk for any nondrug psychiatric disorders than the CC group (59% vs. 36%). More of the H group met criteria for ADHD (5%); major depressive disorder (26%); and histrionic (12%), antisocial (21%), passive–aggressive (18%), and borderline personality disorders (14%) at follow-up than the CC group. Severity of childhood conduct problems contributed to the risk for passive–aggressive, borderline, and antisocial personality disorders. But it only affected risk for antisocial personality after controlling for severity of teen conduct disorder (CD), which also contributed to the risk for these same 3 disorders. Examination for comorbidity among these disorders indicated that presence of either borderline or antisocial personality disorder significantly increased the risk for major depression and the other significant personality disorders. More of the hyperactive group had received various forms of mental health treatment during and since leaving high school than the control group. Results suggest that hyperactive children are at significant risk for at least 1 nondrug disorder in young adulthood, principally major depression and several personality disorders, and that this risk is largely mediated by severity of CD at adolescence.