Rule following and rule use in the balance-scale task

Quinlan et al. [Quinlan, p., van der Mass, H., Jansen, B., Booij, O., & Rendell, M. (this issue). Re-thinking stages of cognitive development: An appraisal of connectionist models of the balance scale task. Cognition, doi:10.1016/j.cognition.2006.02.004] use Latent Class Analysis (LCA) to criticize a connectionist model of development on the balance-scale task, arguing that LCA shows that this model fails to capture a torque rule and exhibits rules that children do not. In this rejoinder we focus on the latter problem, noting the tendency of LCA to find small, unreliable, and difficult-to-interpret classes. This tendency is documented in network and synthetic simulations and in psychological research, and statistical reasons for finding such unreliable classes are discussed. We recommend that LCA should be used with care, and argue that its small and unreliable classes should be discounted. Further, we note that a preoccupation with diagnosing rules ignores important phenomena that rules do not account for. Finally, we conjecture that simple extensions of the network model should be able to achieve torque-rule performance.     

Auditory local bias and reduced global interference in autism

Processing local elements of hierarchical patterns at a superior level and independently from an intact global influence is a well-established characteristic of autistic visual perception. However, whether this confirmed finding has an equivalent in the auditory modality is still unknown. To fill this gap, 18 autistics and 18 typical participants completed a melodic decision task where global and local level information can be congruent or incongruent. While focusing either on the global (melody) or local level (group of notes) of hierarchical auditory stimuli, participants have to decide whether the focused level is rising or falling. Autistics showed intact global processing, a superior performance when processing local elements and a reduced global-to-local interference compared to typical participants. These results are the first to demonstrate that autistic processing of auditory hierarchical stimuli closely parallels processing of visual hierarchical stimuli. When analyzing complex auditory information, autistic participants present a local bias and a more autonomous local processing, but not to the detriment of global processing.     

Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks

Changes in functional connectivity across mental states can provide richer information about human cognition than simpler univariate approaches. Here, we applied a graph theoretical approach to analyze such changes in the lower alpha (8–10 Hz) band of EEG data from 26 subjects undergoing a mentally-demanding test of sustained attention: the Psychomotor Vigilance Test. Behavior and connectivity maps were compared between the first and last 5 min of the task. Reaction times were significantly slower in the final minutes of the task, showing a clear time-on-task effect. A significant increase was observed in weighted characteristic path length, a measure of the efficiency of information transfer within the cortical network. This increase was correlated with reaction time change. Functional connectivity patterns were also estimated on the cortical surface via source localization of cortical activities in 26 predefined regions of interest. Increased characteristic path length was revealed, providing further support for the presence of a reshaped global topology in cortical connectivity networks under fatigue state. Additional analysis showed an asymmetrical pattern of connectivity (right > left) in fronto-parietal regions associated with sustained attention, supporting the right-lateralization of this function. Interestingly, in the fatigue state, significance decreases were observed in left, but not right fronto-parietal connectivity. Our results indicate that functional network organization can change over relatively short time scales with mental fatigue, and that decreased connectivity has a meaningful relationship with individual difference in behavior and performance.     

Exploring Factor Model Parameters across Continuous Variables with Local Structural Equation Models

Using an empirical data set, we investigated variation in factor model parameters across a continuous moderator variable and demonstrated three modeling approaches: multiple-group mean and covariance structure (MGMCS) analyses, local structural equation modeling (LSEM), and moderated factor analysis (MFA). We focused on how to study variation in factor model parameters as a function of continuous variables such as age, socioeconomic status, ability levels, acculturation, and so forth. Specifically, we formalized the LSEM approach in detail as compared with previous work and investigated its statistical properties with an analytical derivation and a simulation study. We also provide code for the easy implementation of LSEM. The illustration of methods was based on cross-sectional cognitive ability data from individuals ranging in age from 4 to 23 years. Variations in factor loadings across age were examined with regard to the age differentiation hypothesis. LSEM and MFA converged with respect to the conclusions. When there was a broad age range within groups and varying relations between the indicator variables and the common factor across age, MGMCS produced distorted parameter estimates. We discuss the pros of LSEM compared with MFA and recommend using the two tools as complementary approaches for investigating moderation in factor model parameters.     

The Consciousness (R)Evolution Paradigm

Consciousness represents the core of the new paradigm, the unitary, systemic vision, and comprehension that emerges in every field of science, culture, and spirituality. For centuries, consciousness has been divided from matter, the soul from the physical body. Now, in this historical beginning of globalization, we need a new holistic model, a global paradigm based on consciousness that can explain the unitary evolutionary process, the psychosomatic unity of human being, the neurophysiological roots of harmony between peoples and the way to personal and collective evolution of consciousness in order to realize a more conscious, peaceful, and sustainable planetary future. Consciousness is the key of human evolution.     

Body–Mind Integrality: Remarks on the Nature and Origin of Universe and Life

This article summarizes scientific knowledge in the fields of quantum physics and medical science regarding the origin and the nature of the universe and life. The recent discoveries in the fields of biophysics, genetics, epigenetics, neuroscience, and psychosomatics describe the universe and life as highly coherent systems where information is a key factor. In this concept living systems are cognitive networks in a dynamic relationship with their environment. Health in this context is a dynamic balance in a subject in which the information flows functionally. Disease is identified as a pathology of information that can be classified in a new way, considering two different codes of meaning—the semiotic and the symbolic.     

The relationship between working memory capacity and cortical activity during performance of a novel motor task

ObjectivesThis study assessed whether individual differences in working memory capacity influenced verbal-analytical processes when performing a novel motor skill.DesignParticipants performed a tennis-hitting task in two conditions: no pressure and high-pressure.MethodsEighteen young adults participated in the study. EEG coherence between the T3-F3 and T4-F4 regions in the Beta1 and Alpha2 frequencies was recorded during performance in each condition. Verbal and visuo-spatial working memory capacity were assessed using the Automated Working Memory Assessment.ResultsNo differences were found between the two conditions for hitting performance and EEG activity. However, across both conditions, verbal and visuo-spatial working memory were significant predictors of EEG coherence between the T3-F3 and T4-F4 regions in the Beta1 and Alpha2 frequencies. Larger verbal working memory capacity was associated with greater coherence while the opposite trend was observed for visuo-spatial working memory capacity.ConclusionsThese results indicate that larger verbal working memory capacity is associated with a greater tendency to use explicit processes during motor performance, whereas larger visuo-spatial working memory capacity is associated more with implicit processes. The findings are discussed with relevance to the theory of implicit motor learning.     

大学生社会支持对乐观倾向的影响:心理弹性与心理一致感的中介作用

研究旨在了解大学生社会支持、乐观倾向、心理弹性和心理一致感的基本情况及其相互关系,探讨心理弹性和心理一致感在社会支持与乐观倾向之间的中介作用,并对大学生乐观倾向的影响机制进行深入分析。研究使用大学生社会支持量表、心理一致感量表、心理弹性量表和乐观倾向量表对上海市某高校2979名大学生进行调查。研究结果表明:(1)大学生社会支持、心理弹性与心理一致感和乐观倾向的总体状况良好,处于正向积极水平。社会支持、心理弹性与心理一致感和乐观倾向均存在显著的性别差异,女生情况好于男生。(2)大学生乐观倾向与社会支持、心理弹性、心理一致感之间均存在显著正相关(r=.31-.50)。(3)社会支持对乐观倾向有直接预测作用,心理弹性和心理一致感的中介效应显著,模型拟合程度良好(χ2/df=36.80,p.001,NFI=.98,CFI=.98,IFI=.98)。研究为揭示社会支持与乐观倾向背后可能的原因与作用机制提供了理论支持。     

Relationships,health, and stress: Validation of a relationship sense of coherence measure

Although all romantic relationships experience stress, some thrive when faced with adversity while others are unable to manage the inevitable relationship ups and downs. Rather than seeing stress as a risk factor, this study applied a Salutogenic framework, which posits that stress is a naturally occurring and potentially beneficial part of relationships, to develop a new measure of relationship health and well‐being. In Study 1, we created and tested a self‐report Relationship Sense of Coherence (RSOC) scale. Study 2 demonstrated evidence of convergent reliability for the RSOC. In Study 3, we tested the RSOC in a two‐wave sample of romantically‐involved individuals with a chronic health condition. Guidelines for use and implications for future research are discussed.