Cognitive rehabilitation: attention and neglect

Cognitive neuroscience can make a significant contribution towards the development of a scientific basis for the practice of brain rehabilitation. Though rehabilitation is a vast worldwide industry, there is little scientific basis for the training and therapy that are designed to help damaged brain circuits to recover. The systematic application of cognitive neuroscience models to rehabilitation can not only foster better, more theoretically grounded rehabilitation, but the models themselves can be tested and modified by data generated in rehabilitation-oriented research. The example of unilateral spatial neglect is used here to show how non-intuitive but clinically tractable methods can emerge out of systematic application of cognitive neuroscience to the problem of how to foster dynamic change and recovery in the damaged brain. Examples are given of recently developed rehabilitation methods for unilateral spatial neglect that are both derived from theoretical models of cognitive function, and that feed back into these models. These include dorsal–ventral stream interactions, perceptuo–motor interactions, interhemispheric inhibitory dynamics, and arousal–spatial attention interactions. It will be to the mutual benefit of basic cognitive neuroscience and rehabilitation if this type of research is expanded into other domains of cognitive function, in which similar theory–practice interactions exist.     

Socio-economic status and the developing brain in adolescence: A systematic review

Socioeconomic status is associated with differences in social, cognitive, and behavioral outcomes for adolescents. Correspondingly, the period reflects continued dynamic, complex, and adaptive brain development. Research demonstrates associations between the developing adolescent brain and SES; however, such research has not been systematically integrated. We undertook a systematic search of studies and review 21 papers that examined both SES and brain development or functioning as measured during adolescence or young adulthood in nonclinical populations (13–25 years old). Few studies focused on architecture and such findings were varied. The majority of studies focused on functioning with two themes emerging. First, studies demonstrate different activation in regions of interest to cognitive and behavioral tasks relative to SES. Second, when similar neurological activation is evident, they can be related to different behavioral observations relative to SES. There is also evidence of different neurological functioning associated with SES with regard to different conceptualizations and coding of SES. Further, some of the reviewed studies identified potential mediators to the relationship, such as parenting practices, stress, and IQ. Overall, the findings suggest it is important to consider SES and neighborhood context within neuroscience research and practice.     

胜任需要挫败的“双刃剑”效应及干预策略：行为和认知神经科学视角

胜任需要挫败是指个体觉得自己很失败或者感觉不能胜任工作。随着知识经济的快速发展, 越来越多的新生代知识型员工在工作中遭受了短期或长期的胜任需要挫败。在经历胜任需要挫败后, 员工在后续的工作中会越挫越勇还是一蹶不振?如果员工会越挫越勇, 如何强化这一积极效应?如果员工会一蹶不振, 如何规避这一消极后果?已有研究无法清晰地解答这些问题。因此, 本研究基于自我决定理论, 综合运用行为实验、认知神经科学实验和现场实验的方法, 依次考察短期和长期的胜任需要挫败对后续任务自主动机的跨期影响, 进而探讨并检验组织层面的发展性反馈、自主性支持以及个体层面的成就目标导向等干预策略的有效性。研究结果拓展了胜任需要挫败和自主动机的相关研究, 有助于指导企业对员工的胜任需要挫败问题进行科学管理和干预, 有益于员工有效应对胜任需要挫败, 充分激发其自主工作动机。     

Exploring the neural basis of fairness: A model of neuro-organizational justice

Drawing from the literature in neuroeconomics, organizational justice, and social cognitive neuroscience, I propose a model of neuro-organizational justice that explores the role of the brain in how people form fairness judgments and react to situations of fairness and/or unfairness in organizations. The model integrates three levels of analysis: (a) behavioral, (b) mental (cognitive and emotional), and (c) neural. The behavioral level deals with motivated actions displayed by the individual; the mental level deals with information processing mechanisms and emotional arousal; and the neural level concerns the brain systems instantiating mental processes. The paper also describes a fairness theory of mind that could help managers improve their ability to create fair working environments. The model’s implications for further research and management practice are discussed.     

Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract?

Cognitive neuroscientists study how the brain implements particular cognitive processes such as perception, learning, and decision-making. Traditional approaches in which experiments are designed to target a specific cognitive process have been supplemented by two recent innovations. First, formal cognitive models can decompose observed behavioral data into multiple latent cognitive processes, allowing brain measurements to be associated with a particular cognitive process more precisely and more confidently. Second, cognitive neuroscience can provide additional data to inform the development of formal cognitive models, providing greater constraint than behavioral data alone. We argue that these fields are mutually dependent; not only can models guide neuroscientific endeavors, but understanding neural mechanisms can provide key insights into formal models of cognition.     

Cognitive Emotion Regulation: Insights From Social Cognitive and Affective Neuroscience

ABSTRACT— Recent developments in the study of cognitive emotion regulation illustrate how functional imaging is extending behavioral analyses. Imaging studies have contributed to the development of a multilevel model of emotion regulation that describes the interactions between neural systems implicated in emotion generation and those implicated in emotional control. In this article, we review imaging studies of one type of cognitive emotion regulation: reappraisal. We show how imaging studies have contributed to the construction of this model, illustrate the interplay of psychological theory and neuroscience data in its development, and describe how this model can be used as the basis for future basic and translational research.     

Structural equation models and personality research

This article is a nontechnical introduction to the use of structural equation models in personality research Although such models can be fruitfully used to address a variety of important theoretical issues, the substantive focus in this article is on the use of such models for elucidating the construct validity of personality measures We include numerous more specific topics under our treatment of construct validity First of all, we show how structural equation models can be applied to the issues of convergent and discriminant validity Do our variables measure the constructs we want them to measure and not other constructs that we would prefer not to measure? Second, we show the utility of structural equation models for predictive validity Do our variables reliably predict other constructs with which they are theoretically linked? Finally, we examine the stability of personality constructs through structural equation models Through-out, our emphasis is on the particular advantages that structural equation models bring to these analytic tasks Ultimately, such models must be used in the service of theory, and when used appropriately, they can help us to refine both our measures and our theories of individual differences     

Measuring consciousness: relating behavioural and neurophysiological approaches

The resurgent science of consciousness has been accompanied by a recent emphasis on the problem of measurement. Having dependable measures of consciousness is essential both for mapping experimental evidence to theory and for designing perspicuous experiments. Here, we review a series of behavioural and brain-based measures, assessing their ability to track graded consciousness and clarifying how they relate to each other by showing what theories are presupposed by each. We identify possible and actual conflicts among measures that can stimulate new experiments, and we conclude that measures must prove themselves by iteratively building knowledge in the context of theoretical frameworks. Advances in measuring consciousness have implications for basic cognitive neuroscience, for comparative studies of consciousness and for clinical applications.     

Knowledge and Appraisal in the Cognition—Emotion Relationship

Abstract

Recently there has been considerable theoretical and empirical work attempting to identify specific cognitive dimensions that shape the emotional response. However, this work has almost universally neglected an important theoretical distinction between two types of cognition relevant to emotion: knowledge and appraisal. Knowledge has to do with the facts of an adaptational encounter, whereas appraisal defines the personal significance of an encounter for well-being. In the shaping of an emotion, knowledge is a distal variable which requires an additional process of appraisal to produce an emotion; appraisal is a proximal variable which directly influences whether an emotion will be generated, and if so, its kind and intensity.

In this article we examine the distinctions between knowledge and appraisal that are relevant to the emotion process, and how the failure to consider them muddies theoretical and empirical work. We examine a number of putative appraisal dimensions prominent in current theoretical systems, examine why they often constitute knowledge rather than appraisal, and discuss some of the appraisal dimensions in the emotion process. In addition, the major techniques used to study the cognition-emotion relationship are examined and their potential for providing evidence of appraisal rather than knowledge is evaluated.     

Action‐Based Model of Dissonance: A Review of Behavioral,Anterior Cingulate,and Prefrontal Cortical Mechanisms

Research and theoretical developments on the theory of cognitive dissonance are reviewed. After this critical review, we present the action‐based model of dissonance, which accepts the original theory's proposal that a sufficient cognitive inconsistency causes dissonance and extends the original theory by proposing why cognitive inconsistency prompts dissonance. Finally, we present results from behavioral and physiological experiments examining predictions derived from the action‐based model. In particular, this evidence converges with recent neuroscience evidence in suggesting that the anterior cingulate cortex and left prefrontal cortical region are involved in conflict detection and resolution, respectively.     

认知神经科学的心理学理论价值

从认知神经科学面临的三个挑战--(1)神经科学是“还原” 的,不能完全解释一个人的心理活动过程;（2）认知神经科学无法真正解释人的心理与行为;（3）认知神经科学只能揭示出神经事件与认知活动或行为活动的相关性--入手来讨论其心理学理论价值,阐明认知神经科学在心理学研究中的重要地位及主流趋势。同时指出,认知神经科学只是心理学学科门类中的一种,它能解决的问题也只限于特定的范围,对它要有科学理性的认识和定位。     

Current issues and new directions in Psychology and Health : Theory,translation, and evidence-based practice

Health psychology has at least two masters; cognitive behavioral theory and clinical and public health practice. We are expected to contribute to theory by creating new models and adding to existent models of human behavior, and to contribute to improvements in health outcomes for the public. In this brief note, we propose that translating concepts from practice into theory to create interventions that meet the standards of evidence-based practice will satisfy both masters. However, the integration will require a re-examination of our current understanding of how to use theory, the process of translation, and the development of pragmatic evidence-based practice.     

Decoding the implicit association test: Implications for criterion prediction

The implicit association test (IAT) is believed to measure implicit evaluations by assessing reaction times on two cognitive tasks, often termed “compatible” and “incompatible” tasks. A common rationale for studying the IAT is that it might improve our prediction and understanding of meaningful psychological criteria. To date, however, no clear psychometric theory has been advanced for this measure. We examine the theory, methods and analytic strategies surrounding the IAT in the context of criterion prediction to determine measurement and causal models a researcher embraces (knowingly or unknowingly) by using the test. Our analyses reveal that the IAT revolves around interpretation of two distinct relative constructs, one at the conceptual level and one at the observed level. We show that interest in relative implicit evaluations at the conceptual level imposes a causal model that is restrictive in form. We then examine measurement models of the IAT and show how computing a difference score at the observed level may lack empirical justification. These issues are highlighted in a study replicating an effect established in the literature (Study 1). We then introduce a new variant of the IAT and use it to evaluate the reasonableness of traditional IAT methods (Study 2).     

A Neuropsychological Approach to Intelligence

This paper proposes that current psychometric intelligence tests are limited in evaluating cognitive activity. From a neuropsychological perspective, they fail to measure some fundamental cognitive abilities such as executive functions, memory, and visuospatial abilities. The analysis of the Wechsler Intelligence Scale presented shows that the original rationale for selecting the specific subtests included in the WAIS was unclear. The concept of a g factor in cognition is also analyzed, with the conclusion that the g factor continues to be controversial. The value of intelligence tests in predicting school performance is also criticized. It is proposed that the psychometric concept of general intelligence should be deleted from cognitive and neurological sciences. Finally, it is proposed that, in the future, neuropsychological instruments sensitive to more specific cognitive abilities replace current psychometric intelligence tests.     

How Do Artificial Neural Networks Classify Musical Triads? A Case Study in Eluding Bonini's Paradox

How might artificial neural networks (ANNs) inform cognitive science? Often cognitive scientists use ANNs but do not examine their internal structures. In this paper, we use ANNs to explore how cognition might represent musical properties. We train ANNs to classify musical chords, and we interpret network structure to determine what representations ANNs discover and use. We find connection weights between input units and hidden units can be described using Fourier phase spaces, a representation studied in musical set theory. We find the total signal coming through these weighted connection weights is a measure of the similarity between two Fourier structures: the structure of the hidden unit's weights and the structure of the stimulus. This is surprising because neither of these Fourier structures is computed by the hidden unit. We then show how output units use such similarity measures to classify chords. However, we also find different types of units—units that use different activation functions—use this similarity measure very differently. This result, combined with other findings, indicates that while our networks are related to the Fourier analysis of musical sets, they do not perform Fourier analyses of the kind usually described in musical set theory. Our results show Fourier representations of music are not limited to musical set theory. Our results also suggest how cognitive psychologists might explore Fourier representations in musical cognition. Critically, such theoretical and empirical implications require researchers to understand how network structure converts stimuli into responses.     

Food reinforcement and eating: a multilevel analysis

Eating represents a choice among many alternative behaviors. The purpose of this review is to provide an overview of how food reinforcement and behavioral choice theory are related to eating and to show how this theoretical approach may help organize research on eating from molecular genetics through treatment and prevention of obesity. Special emphasis is placed on how food reinforcement and behavioral choice theory are relevant to understanding excess energy intake and obesity and how they provide a framework for examining factors that may influence eating and are outside of those that may regulate energy homeostasis. Methods to measure food reinforcement are reviewed, along with factors that influence the reinforcing value of eating. Contributions of neuroscience and genetics to the study of food reinforcement are illustrated by using the example of dopamine. Implications of food reinforcement for obesity and positive energy balance are explored, with suggestions for novel approaches to obesity treatment based on the synthesis of behavioral and pharmacological approaches to food reinforcement.     

Investigating the Awareness of Remembering

ABSTRACT— There is a marked lack of consensus concerning the best way to learn how conscious experiences arise. In this article, we advocate for scientific approaches that attempt to bring together four types of phenomena and their corresponding theoretical accounts: behavioral acts, cognitive events, neural events, and subjective experience. We propose that the key challenge is to comprehensively specify the relationships among these four facets of the problem of understanding consciousness without excluding any facet. Although other perspectives on consciousness can also be informative, combining these four perspectives could lead to significant progress in explaining a conscious experience such as remembering. We summarize some relevant findings from cognitive neuroscience investigations of the conscious experience of memory retrieval and of memory behaviors that transpire in the absence of the awareness of remembering. These examples illustrate suitable scientific strategies for making progress in understanding consciousness by developing and testing theories that connect the behavioral expression of recall and recognition, the requisite cognitive transactions, the neural events that make remembering possible, and the awareness of remembering.     

Attentional control in depression: A translational affective neuroscience approach

Translational research refers to the application of basic science to address clinical problems and acquire knowledge that can be used to guide and refine clinical practice. This special issue of Cognitive, Affective, & Behavioral Neuroscience seeks to explore and integrate some of the most promising findings offered by recent cognitive and affective neuroscience studies in hopes of filling the gap between basic and applied research, thereby heightening our understanding of vulnerability for depression. The studies presented in this special issue focus specifically on attentional processes. We solicited contributions from leading researchers involved in basic cognitive and neuroscience research investigating processes underlying depression-related disturbances in emotion processing. In this introductory article, we present an integrative overview to demonstrate how these specific contributions might be valuable for translational research.