The representation of category typicality in the frontal cortex and its cross-linguistic variations

When asked to judge the membership of typical (e.g., car) vs. atypical (e.g., train) pictures of a category (e.g., vehicle), native English (N = 18) and native Chinese speakers (N = 18) showed distinctive patterns of brain activity despite showing similar behavioral responses. Moreover, these differences were mainly due to the amount and pervasiveness of category information linguistically embedded in the everyday names of the items in the respective languages, with important differences across languages in how pervasive category labels are embedded in item-level terms. Nonetheless, the left inferior frontal gyrus and the bilateral medial frontal gyrus are the most consistent neural correlates of category typicality that persist across languages and linguistic cues. These data together suggest that both cross- and within-language differences in the explicitness of category information have strong effects on the nature of categorization processes performed by the brain.     

An increase of intelligence in China 1986–2012

The Flynn effect has been widely researched in Western and European nations, while it has been comparatively understudied in Asian countries. This study examines possible Flynn effects in China from 1985 to 86 and to 2011–12. Results are reported for an IQ increase among 12 year olds on the Full Scale IQ WISC-R (Wechsler Intelligence Scale for Children-Revised) of 6.19 IQ points, a gain on the Performance IQ of 6.55 IQ points, and a gain on the Verbal IQ of 1.91 IQ points.     

Is the Flynn effect on g?: A meta-analysis

Black/White differences in mean IQ have been clearly shown to strongly correlate with g loadings, so large group differences on subtests of high cognitive complexity and small group differences on subtests of low cognitive complexity. IQ scores have been increasing over the last half century, a phenomenon known as the Flynn effect. Flynn effect gains are predominantly driven by environmental factors. Might these factors also be responsible for group differences in intelligence? The empirical studies on whether the pattern of Flynn effect gains is the same as the pattern of group differences yield conflicting findings. A psychometric meta-analysis on all studies with seven or more subtests reporting correlations between g loadings and standardized score gains was carried out, based on 5 papers, yielding 11 data points (total N = 16,663). It yielded a true correlation of − .38, and none of the variance between the studies could be attributed to moderators. It appears that the Flynn effect and group differences have different causes. Suggestions for future research are discussed.     

Resemblance and investment in children

According to evolutionary explanations men hardly ever are absolutely certain about their biological fatherhood therefore they must seek various sources of information to subjectively establish whether they are the genetic fathers of the children they raise. Apicella and Marlowe (2004) showed that fathers who perceived greater similarity between their children and themselves were willing to invest more resources (e.g., time, money, care) in their offspring presumably because the perceived resemblance indicated to the fathers their genetic relatedness with their children. The present study extended the design of Apicella and Marlowe's original study and included both fathers and mothers as participants. Parents were recruited by a female confederate at the airport and at the railway station in Wroclaw (Poland). Multiple regression analyses showed that perceived resemblance predicted parental investment in the child for both men and women. The fact that mothers' declarations of investment in their children also depended on the perceived resemblance factor is not consistent with evolutionary formulations delineated by Apicella and Marlowe (2004; 2007). Future studies must resolve the issue of whether the resemblance‐investment relation in fathers results from men relaying on child's resemblance to themselves as an indicator of their own biological paternity, or whether it results from the more parsimonious phenomenon that people in general are attracted more to other people who are similar to them.     

The Duration and Intensity of the Exposure Light as Factors in Determining the Course of the Subsequent Dark-Adaptation: I. the Matching Method

The authors investigated the phenomenon that performance in an ongoing task declines when individuals must carry out a prospective memory (PM) task. This effect is referred to as the PM interference effect. The authors examined whether the PM interference effect differs between event-based and time-based PM tasks and whether it is increased among the elderly. The authors also investigated adult age differences in PM performance and the potential underlying mechanisms of the age deficits in PM. They found that the PM interference effect was greater in event-based than in time-based tasks. However, aging was not associated with an increase in PM interference effects. Age differences in PM performance were more exaggerated in time-based than event-based PM, but they were not mediated by age differences in traditional cognitive ability measures. In time-based PM, age showed a unique adverse effect even after controlling for the ability to externally monitor the time, leading to the possibility that aging disrupts time-based PM because of deficits in internally processing the time.     

The Role of Fear-Avoidance Cognitions and Behaviors in Patients with Chronic Tinnitus

The current study investigated the role of fear-avoidance—a concept from chronic pain research—in chronic tinnitus. A self-report measure the “Tinnitus Fear-Avoidance Cognitions and Behaviors Scale (T-FAS)” was developed and validated. Furthermore, the role of fear-avoidance behavior as mediator of the relationship between anxiety sensitivity and tinnitus handicap was investigated. From a clinical setting, N = 373 patients with chronic tinnitus completed questionnaires assessing tinnitus handicap (Tinnitus Handicap Inventory), anxiety, depression (Hospital Anxiety and Depression Scale), anxiety sensitivity (Anxiety Sensitivity Index-3), personality factors (Big Five Inventory-10), and fear-avoidance. To analyze the psychometric properties, principal component analysis with parallel component extraction and correlational analyses were used. To examine a possible mediating effect, hierarchical regression analysis was applied. The principal component analysis resulted in a three-factor solution: Fear-avoidance Cognitions, Tinnitus-related Fear-Avoidance Behavior, and Ear-related Fear-Avoidance Behavior. Internal consistency was satisfactory for the total scale and all subscales. High correlations between tinnitus-related handicap scales, depressive and anxiety symptoms, and the T-FAS were found, whereas associations with personality factors were low. Moreover, results indicate a significant partial mediation of fear-avoidance behaviors in the relationship between anxiety sensitivity and the cognitive dimension of tinnitus handicap. Results show that fear-avoidance behavior plays an important role in tinnitus handicap. More attention should be paid to this concept in research and clinical practice of psychotherapy for chronic tinnitus.     

红色的心理效应:现象与机制研究述评

红色是自然界和人类社会最常见的颜色之一,它对人类心理与行为的影响受到心理学家的关注.2005年发表在Nature上关于红色队服增强奥运选手竞赛成绩的研究报告,引发了一系列红色心理效应研究.本文从生理指标、行为观察、认知、语言文化、情绪、态度等多个角度综述了红色心理效应的现象和机制,并提出“情境假说”来解释红色对心理与行为的影响.综述表明,红色的心理效应缘于其在不同情境下联结着不同的心理意义.这些联结受先天遗传和后天环境的共同影响.红色与心理意义的联结诱发了特定的心理状态,从而影响个体的心理与行为.颜色对心理的影响及其机制,已经成为颜色科学基础与应用研究的前沿领域之一.     

SNARC效应: 现状、理论与建议

SNARC效应是当对数字进行奇偶判断时,即使数的奇偶性与数的大小无关,但右手（左手）对相对大（小）的数的反应快。首先介绍SNARC效应的起源和理论解释,然后总结SNARC效应的特性,论述SNARC效应和Simon效应以及MARC 效应的关系,并对SNARC效应的脑机制进行了概述,最后提出3个有待深入研究的问题：（1）SNARC效应的加工处理机制;（2）SANRC效应的理论探索;（3）SNARC效应的本质。     

Mental rotation performance and the effect of gender in fourth graders and adults

The DSM-IV implicitly assumes that development is uniform across ability domains, which implies that relationships between ability measures do not differ across development. We assessed whether correlations between measures of nine ability constructs differed across samples of children aged 3 – 5 (n = 117), 6 – 8 (n = 116), 9 – 11 (n = 124) and 12 – 14 years (n = 92). LISREL analyses show that correlations in each age group differ from those of each other age group. Parallel analyses indicate that the latent structure of ability differs across age groups. We conclude that shared maturational processes, including changes in the connectivity of neural systems, are responsible for decreasingly and increasingly strong relationships between some ability measures.