空间导航的脑网络基础和调控机制

空间导航在生活中时刻发生,空间能力衰退是阿尔兹海默症的重要早期表现。早期关于空间导航神经机制的研究主要关注单个脑区的特异性功能,但这些脑区如何交互以整合不同模态的信息支持复杂导航行为尚不清楚。脑成像技术、脑网络建模方法和神经调控手段的发展,为在脑网络水平理解人类空间导航的认知神经机制提供了重要研究手段。本研究试图融合空间导航认知神经机制研究的最新进展,借助脑网络建模、大数据分析、微电流刺激等前沿研究手段,研究空间导航脑网络的关键拓扑属性特征(如模块化、核心节点等),探寻该功能特异性神经网络的重要影响因素和调控机制,并构建空间导航的脑网络理论模型。研究成果将有利于理解人类复杂导航行为的脑网络基础,为阿尔兹海默症等相关认知障碍脑疾病的筛查和诊断提供重要参考。     

Enlarging the model of the human at the heart of human-centered AI: A social self-determination model of AI system impact

Increasing awareness of the harms that artificial intelligence (AI) systems can cause has inspired a movement towards creating more human-centered AI (HCAI). One way in which AI systems can be made more human-centered is by focusing on the effects they have on people's needs. However, existing theories of technology impact in HCAI drawn from human-computer interaction (HCI) and related fields such as psychology are not able to account for the ways in which both needs and the impact of technology on these are dynamically shaped by the social context. To address this limitation, in this paper we outline a Social Self-Determination Model (SSDM) of AI system impact. SSDM proposes that people's needs for self-determination can be individual or collective in a particular context depending on features of the person and their environment. Accordingly, because AI systems treat people differently depending on the groups they belong to, they can make needs for individual or collective self-determination psychologically relevant and either fulfill or hamper these. SSDM can be used to help designers and developers create more human-centered AI systems by quantifying the effects of these systems and the social environment in which they are embedded on people's fundamental psychological needs and wellbeing.     

The Neural Architecture of General Knowledge

Cognitive performance varies widely between individuals and is highly influenced by structural and functional properties of the brain. In the past, neuroscientific research was principally concerned with fluid intelligence, while neglecting its equally important counterpart crystallized intelligence. Crystallized intelligence is defined as the depth and breadth of knowledge and skills that are valued by one's culture. The accumulation of crystallized intelligence is guided by information storage capacities and is likely to be reflected in an individual's level of general knowledge. In spite of the significant role general knowledge plays for everyday life, its neural foundation largely remains unknown. In a large sample of 324 healthy individuals, we used standard magnetic resonance imaging along with functional magnetic resonance imaging and diffusion tensor imaging to examine different estimates of brain volume and brain network connectivity and assessed their predictive power with regard to both general knowledge and fluid intelligence. Our results demonstrate that an individual's level of general knowledge is associated with structural brain network connectivity beyond any confounding effects exerted by age or sex. Moreover, we found fluid intelligence to be best predicted by cortex volume in male subjects and functional network connectivity in female subjects. Combined, these findings potentially indicate different neural architectures for information storage and information processing. © 2019 European Association of Personality Psychology     

Integrating brain science research with intelligence research

Understanding the possible causes of differences in intelligence is crucial if children are to achieve their full potential. Such understanding has been hampered until recently, however, because researchers who study intelligence have neglected recent findings in the brain sciences suggesting that the brain develops in response to environmental stimulation. These findings have seemed to contradict intelligence research that suggests that intellectual abilities are inherited. However, the findings from intelligence research and the brain sciences can be integrated if it is accepted that there are individual differences in the process by which the brain adapts to the environment, such that some people's brains are better at adapting than others'. The findings obtained from intelligence research are consistent with this integrated model. Such an integration has implications for better understanding the nature of intelligence.     

Organization, development and function of complex brain networks

Recent research has revealed general principles in the structural and functional organization of complex networks which are shared by various natural, social and technological systems. This review examines these principles as applied to the organization, development and function of complex brain networks. Specifically, we examine the structural properties of large-scale anatomical and functional brain networks and discuss how they might arise in the course of network growth and rewiring. Moreover, we examine the relationship between the structural substrate of neuroanatomy and more dynamic functional and effective connectivity patterns that underlie human cognition. We suggest that network analysis offers new fundamental insights into global and integrative aspects of brain function, including the origin of flexible and coherent cognitive states within the neural architecture.     

Intelligence is differentially related to neural effort in the task-positive and the task-negative brain network

Previous studies on individual differences in intelligence and brain activation during cognitive processing focused on brain regions where activation increases with task demands (task-positive network, TPN). Our study additionally considers brain regions where activation decreases with task demands (task-negative network, TNN) and compares effects of intelligence on neural effort in the TPN and the TNN. In a sample of 52 healthy subjects, functional magnetic resonance imaging was used to determine changes in neural effort associated with the processing of a working memory task. The task comprised three conditions of increasing difficulty: (a) maintenance, (b) manipulation, and (c) updating of a four-letter memory set. Neural effort was defined as signal increase in the TPN and signal decrease in the TNN, respectively. In both functional networks, TPN and TNN, neural effort increased with task difficulty. However, intelligence, as assessed with Raven's Matrices, was differentially associated with neural effort in the TPN and TNN. In the TPN, we observed a positive association, while we observed a negative association in the TNN. In terms of neural efficiency (i.e., task performance in relation to neural effort expended on task processing), more intelligent subjects (as compared to less intelligent subjects) displayed lower neural efficiency in the TPN, while they displayed higher neural efficiency in the TNN. The results illustrate the importance of differentiating between TPN and TNN when interpreting correlations between intelligence and fMRI measures of brain activation. Importantly, this implies the risk of misinterpreting whole brain correlations when ignoring the functional differences between TPN and TNN.     

长期合作学习小组中的集体智慧及其影响因素研究

合作学习是应对信息时代学习困境的有效途径。研究一探索了合作学习群体中是否存在集体智慧,研究二比较了互动小组和名义小组在创新观点产生任务中的表现,研究三考察了合作学习小组在群体决策中的表现及其成员的观点和主观自信的影响。研究表明：在长期合作学习小组的多重任务表现中存在代表群体整体一般能力的C因素,即存在集体智慧;在创新观点的产生中,社会影响不利于集体智慧发挥作用;在困难问题解决的判断与决策中,集体智慧发挥的作用更明显,较不会受到个别成员的主观自信、实力和多数人意见左右。建议在合作学习等群体活动中通过策略选择和规则设置促进集体智慧发挥作用。     

Neuroanatomical correlates of intelligence

With the advancement of image acquisition and analysis methods in recent decades, unique opportunities have emerged to study the neuroanatomical correlates of intelligence. Traditional approaches examining global measures have been complemented by insights from more regional analyses based on pre-defined areas. Newer state-of-the-art approaches have further enhanced our ability to localize the presence of correlations between cerebral characteristics and intelligence with high anatomic precision. These in vivo assessments have confirmed mainly positive correlations, suggesting that optimally increased brain regions are associated with better cognitive performance. Findings further suggest that the models proposed to explain the anatomical substrates of intelligence should address contributions from not only (pre)frontal regions, but also widely distributed networks throughout the whole brain.     

A psychology of the human brain–gut–microbiome axis

In recent years, we have seen increasing research within neuroscience and biopsychology on the interactions between the brain, the gastrointestinal tract, the bacteria within the gastrointestinal tract, and the bidirectional relationship between these systems: the brain–gut–microbiome axis. Although research has demonstrated that the gut microbiota can impact upon cognition and a variety of stress‐related behaviours, including those relevant to anxiety and depression, we still do not know how this occurs. A deeper understanding of how psychological development as well as social and cultural factors impact upon the brain–gut–microbiome axis will contextualise the role of the axis in humans and inform psychological interventions that improve health within the brain–gut–microbiome axis. Interventions ostensibly aimed at ameliorating disorders in one part of the brain–gut–microbiome axis (e.g., psychotherapy for depression) may nonetheless impact upon other parts of the axis (e.g., microbiome composition and function), and functional gastrointestinal disorders such as irritable bowel syndrome represent a disorder of the axis, rather than an isolated problem either of psychology or of gastrointestinal function. The discipline of psychology needs to be cognisant of these interactions and can help to inform the future research agenda in this emerging field of research. In this review, we outline the role psychology has to play in understanding the brain–gut–microbiome axis, with a focus on human psychology and the use of research in laboratory animals to model human psychology.     

Creative thinking and brain network development in schoolchildren

Fostering creative minds has always been a premise to ensure adaptation to new challenges of human civilization. While some alternative educational settings (i.e., Montessori) were shown to nurture creative skills, it is unknown how they impact underlying brain mechanisms across the school years. This study assessed creative thinking and resting-state functional connectivity via fMRI in 75 children (4–18 y.o.) enrolled either in Montessori or traditional schools. We found that pedagogy significantly influenced creative performance and underlying brain networks. Replicating past work, Montessori-schooled children showed higher scores on creative thinking tests. Using static functional connectivity analysis, we found that Montessori-schooled children showed decreased within-network functional connectivity of the salience network. Moreover, using dynamic functional connectivity, we found that traditionally-schooled children spent more time in a brain state characterized by high intra-default mode network connectivity. These findings suggest that pedagogy may influence brain networks relevant to creative thinking—particularly the default and salience networks. Further research is needed, like a longitudinal study, to verify these results given the implications for educational practitioners. A video abstract of this article can be viewed at https://www.youtube.com/watch?v=xWV_5o8wB5g .

Research Highlights

• Most executive jobs are prospected to be obsolete within several decades, so creative skills are seen as essential for the near future.
• School experience has been shown to play a role in creativity development, however, the underlying brain mechanisms remained under-investigated yet.
• Seventy-five 4–18 years-old children, from Montessori or traditional schools, performed a creativity task at the behavioral level, and a 6-min resting-state MR scan.
• We uniquely report preliminary evidence for the impact of pedagogy on functional brain networks.

     

Early adversity in rural India impacts the brain networks underlying visual working memory

There is a growing need to understand the global impact of poverty on early brain and behavioural development, particularly with regard to key cognitive processes that emerge in early development. Although the impact of adversity on brain development can trap children in an intergenerational cycle of poverty, the massive potential for brain plasticity is also a source of hope: reliable, accessible, culturally agnostic methods to assess early brain development in low resource settings might be used to measure the impact of early adversity, identify infants for timely intervention and guide the development and monitor the effectiveness of early interventions. Visual working memory (VWM) is an early marker of cognitive capacity that has been assessed reliably in early infancy and is predictive of later academic achievement in Western countries. Here, we localized the functional brain networks that underlie VWM in early development in rural India using a portable neuroimaging system, and we assessed the impact of adversity on these brain networks. We recorded functional brain activity as young children aged 4–48 months performed a VWM task. Brain imaging results revealed localized activation in the frontal cortex, replicating findings from a Midwestern US sample. Critically, children from families with low maternal education and income showed weaker brain activity and poorer distractor suppression in canonical working memory areas in the left frontal cortex. Implications of this work are far‐reaching: it is now cost‐effective to localize functional brain networks in early development in low‐resource settings, paving the way for novel intervention and assessment methods.     

Neural and cognitive plasticity: from maps to minds

Some species and individuals are able to learn cognitive skills more flexibly than others. Learning experiences and cortical function are known to contribute to such differences, but the specific factors that determine an organism's intellectual capacities remain unclear. Here, an integrative framework is presented suggesting that variability in cognitive plasticity reflects neural constraints on the precision and extent of an organism's stimulus representations. Specifically, it is hypothesized that cognitive plasticity depends on the number and diversity of cortical modules that an organism has available as well as the brain's capacity to flexibly reconfigure and customize networks of these modules. The author relates this framework to past proposals on the neural mechanisms of intelligence, including (a) the relationship between brain size and intellectual capacity; (b) the role of prefrontal cortex in cognitive control and the maintenance of stimulus representations; and (c) the impact of neural plasticity and efficiency on the acquisition and performance of cognitive skills. The proposed framework provides a unified account of variability in cognitive plasticity as a function of species, age, and individual, and it makes specific predictions about how manipulations of cortical structure and function will impact intellectual capacity.     

Intelligence: genetics, genes, and genomics

More is known about the genetics of intelligence than about any other trait, behavioral or biological, which is selectively reviewed in this article. Two of the most interesting genetic findings are that heritability of intelligence increases throughout the life span and that the same genes affect diverse cognitive abilities. The most exciting direction for genetic research on intelligence is to harness the power of the Human Genome Project to identify some of the specific genes responsible for the heritability of intelligence. The next research direction will be functional genomics--for example, understanding the brain pathways between genes and intelligence. Deoxyribonucleic acid (DNA) will integrate life sciences research on intelligence; bottom-up molecular biological research will meet top-down psychological research in the brain.     

Catastrophic forgetting in connectionist networks

All natural cognitive systems, and, in particular, our own, gradually forget previously learned information. Plausible models of human cognition should therefore exhibit similar patterns of gradual forgetting of old information as new information is acquired. Only rarely does new learning in natural cognitive systems completely disrupt or erase previously learned information; that is, natural cognitive systems do not, in general, forget ‘catastrophically’. Unfortunately, though, catastrophic forgetting does occur under certain circumstances in distributed connectionist networks. The very features that give these networks their remarkable abilities to generalize, to function in the presence of degraded input, and so on, are found to be the root cause of catastrophic forgetting. The challenge in this field is to discover how to keep the advantages of distributed connectionist networks while avoiding the problem of catastrophic forgetting. In this article the causes, consequences and numerous solutions to the problem of catastrophic forgetting in neural networks are examined. The review will consider how the brain might have overcome this problem and will also explore the consequences of this solution for distributed connectionist networks.     

The personality systems framework: Current theory and development

The personality systems framework is a fieldwide outline for organizing the contemporary science of personality. I examine the theoretical impact of systems thinking on the discipline and, drawing on ideas from general systems theory, argue that personality psychologists understand individuals’ personalities by studying four topics: (a) personality’s definition, (b) personality’s parts (e.g., traits, schemas, etc.), (c) its organization and (d) development. This framework draws on theories from the field to create a global view of personality including its position and major areas of function. The global view gives rise to new theories such as personal intelligence—the idea that people guide themselves with a broad intelligence they use to reason about personalities.     

The effects of sport dance on brain connectivity and body intelligence

Dancing is characterised by physical movement in accordance with rhythm perception. Twelve sport dancers and 12 age- and sex-matched young adults who had no dance experience (control group) were recruited. Body intelligence and brain activity were assessed in both groups using the Body Intelligence Scale (BIS) and resting state functional magnetic resonance imaging. BIS scores of dancers were higher than those of control subjects. The dancer group showed increased functional connectivity from the precentral gyrus to the right cingulate gyrus, right occipital fusiform gyrus, right inferior frontal gyrus, right medial frontal gyrus, left inferior frontal gyrus, right parietal postcentral gyrus, and right frontal lobe compared with control subjects. Sport dancers had increased body intelligence sensitivity compared with matched controls. In addition, the characteristics of dance, including physical movement in accordance with rhythm perception, might be associated with increased brain activity in the somatosensory and rhythm perception networks.     

CONSCIOUSNESS AND THE MACHINE

Abstract. We consider only the relationship of consciousness to physical reality, whether physical reality is interpreted as the brain, artificial intelligence, or the universe as a whole. The difficulties with starting the analysis with physical reality on the one hand and with consciousness on the other are delineated. We consider how one may derive from the other. Concepts of universal or pure consciousness versus local or ego consciousness are explored with the possibility that consciousness may be physically creative. We examine whether artificial intelligence can possess consciousness as an extension of the interrelationship between consciousness and the brain or material reality.     

REVEREND ROBOT: AUTOMATION AND CLERGY

Digital technology, including artificial intelligence, is having a dramatic impact on the professions of medicine, law, journalism, finance, and others. Some suggest that clergy will also be affected. We describe recent progress in designing artificially intelligent systems, suggesting that this is possible, perhaps even likely. We investigate ways in which technology currently is affecting ministry and outline some plausible scenarios in which digital systems could supplement or supplant clergy in some areas, specifically preaching and pastoral care. We also raise some theological issues raised by the use of digital systems in ministry.     

Integration versus conflict between schools of dream theory and dreamwork: integrating the psychological core qualities of dreams with the contemporary knowledge of the dreaming brain

The various ways schools of psychotherapy relate to dreams have been marked by isolationism and mutual conflict rather than self-examination and then integrating the discoveries and methods of other schools. Jung’s method was in opposition to Freud’s psychoanalysis. Existential psychology was dismissive of Freud’s and Jung’s discoveries, while cognitive dream interpretation and cognitive therapy sought other roads entirely. In addition, scientific and neuropsychological dream research has been only insignificantly tied to the psychotherapeutic dream theories. These conflicts and the lack of a comprehensive dream theory has made it convenient for the current rationalist collective consciousness and treatment systems to reject the often times challenging knowledge about ourselves that dreams can provide. This paper describes how contemporary theories of complex cybernetic information networks can create an overriding, constructive framework for uncovering common traits within the above-mentioned branches of dream research and dreamwork. Within this framework, ten core qualities are delineated, supported by both therapeutic knowledge as well as scientific research: 1) Dreams deal with matters important to us; 2) Dreams symbolize; 3) Dreams personify; 4) Dreams are trial runs in a safe place; 5) Dreams are online to unconscious intelligence; 6) Dreams are pattern recognition; 7) Dreams are high level communication; 8) Dreams are condensed information; 9) Dreams are experiences of wholeness; 10) Dreams are psychological energy landscapes. For each core quality I describe short dreamwork sequences from my own practice and a schematic image of how I perceive the overriding interaction between systems in the dreaming brain. For each core quality recommendations for practical dreamwork are provided. Finally, I draw attention to dreams as a huge psychological resource for humankind.     

加德纳的多重智力理论及其启示

加德纳提出的多重智力理论认为人的智力至少有7种,常见的语言智力和逻辑／数理智力只是人类不同智力中的两种,还有5种其他智力,这些智力在人类和个体生存与发展中同等重要。本文介绍了多重智力理论的产生、主要内容和在美国的影响,提出了该理论对我国教育的几点启示。