Contributions of Neuroscience to Our Understanding of Cognitive Development

ABSTRACT— One major contribution of neuroscience to understanding cognitive development has been in demonstrating that biology is not destiny—that is, demonstrating the remarkable role of experience in shaping the mind, brain, and body. Only rarely has neuroscience provided wholly new insights into cognitive development, but often it has provided evidence of mechanisms by which observations of developmental psychologists could be explained. Behavioral findings have often remained controversial until an underlying biological mechanism for them was offered. Neuroscience has demonstrated promise for detecting cognitive problems before they are behaviorally observable—and, hence, promise for early intervention. In this article, we discuss examples drawn from imitation and mirror neurons, phenylketonuria (PKU) and prefrontal dopamine, maternal touch and stress reactivity, and nongenetic (behavioral) intergenerational transmission of biological characteristics.     

Posterior parietal cortex activity predicts individual differences in visual short-term memory capacity

Humans show a severe capacity limit in the number of objects they can store in visual short-term memory (VSTM). We recently demonstrated with functional magnetic resonance imaging that VSTM storage capacity estimated in averaged group data correlated strongly with posterior parietal/superior occipital cortex activity (Todd & Marois, 2004). However, individuals varied widely in their VSTM capacity. Here, we examined the neural basis of these individual differences. A voxelwise, individualdifferences analysis revealed a significant correlation between posterior parietal cortex (PPC) activity and individuals’ VSTM storage capacity. In addition, a region-of-interest analysis indicated that other brain regions, particularly visual occipital cortex, may contribute to individual differences in VSTM capacity. Thus, although not ruling out contributions from other brain regions, the individual-differences approach supports a key role for the PPC in VSTM by demonstrating that its activity level predicts individual differences in VSTM storage capacity.     

Individual differences in performance on elementary cognitive tasks (ECTs): lawful vs. problematic parameters.

Over the past 2 decades, the cognitive-correlates approach has dominated investigations into the nature of intelligence. This research program relies on a number of processing speed parameters (apart from "average performance"). These measures include the slope, intercept, and intraindividual variability of both decision time and movement time. By correlating these measures with established markers of intelligence, researchers postulate theoretical models underlying these information-processing constructs. However, there is a lack of substantive evidence that these phenomena are as robust within the individual as has been proposed. The authors tested the properties of intraindividual parameters by asking participants (N = 179) to perform 10 elementary cognitive tasks (ECTs). Detailed analyses revealed that average performance parameters, extracted from these ECTs, behaved lawfully. However, up to 40% of participants failed to provide acceptable indices of intraindividual model fit. Similarly, intraindividual variability measures appeared less valid than previously suggested. The implications of these findings for cognitive and biological models of intelligence are discussed.     

Validating Cultureand Gender-Specific Constructs

SUMMARY

Despite on-going calls for developing cultural competency among mental health practitioners, few assessment instruments consider cultural variation in psychological constructs. To meet the challenge of developing measures for minority and international students, it is necessary to account for the influence culture may have on the latent constructs that form a given instrument. What complicates matters further is that individual factors (e.g., gender) within a culture necessitate additional refinement of factor structures on which such instruments are based. The current work endeavors to address these concerns by demonstrating a mixed-methods approach utilized to assess construct validation within a specific culture; and in turn develop culturally-specific instruments. Qualitative methods were used to inform the development of a structured self-report by gaining detailed knowledge of the target culture and creating items grounded in interview and observational data. Factor analysis techniques and triangulation with qualitative analyses validated these findings. Previous work (Sarkar, 2003) suggested a number of gender-specific perceptions of mental health constructs within the target culture and these were investigated using additional mixed-method analyses. This article demonstrates an emerging mixed-method technique for developing culturally sound assessment tools, offers guidance on how to incorporate the overall approach in assessment, and provides a basis for thinking critically about the use of existing instruments when working with diverse populations.     

The functional‐cognitive framework as a tool for accelerating progress in cognitive neuroscience: On the benefits of bridging rather than reducing levels of analyses

The subject matter of neuroscience research is complex, and synthesising the wealth of data from this research to better understand mental processes is challenging. A useful strategy, therefore, may be to distinguish explicitly between the causal effects of the environment on behaviour (i.e. functional analyses) and the mental processes that mediate these effects (i.e. cognitive analyses). In this article, we describe how the functional‐cognitive (F‐C) framework can accelerate cognitive neuroscience and also advance a functional treatment of brain activity. We first highlight that cognitive neuroscience can particularly benefit from the F‐C approach by providing an alternative to the problematic practice of reducing cognitive constructs to behavioural and/or neural proxies. Next, we outline how functional (behaviour–environment) relations can serve as a bridge between cognitive and neural processes by restoring mental constructs to their original role as heuristic tools. Finally, we give some examples of how both cognitive neuroscience and traditional functional approaches can mutually benefit from the F‐C framework.     

A computational analysis of general intelligence tests for evaluating cognitive development

The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same approach can be used to assess the cognitive development of artificial systems. In particular, can we assess whether the ‘fluid’ or ‘crystallised’ intelligence of an artificial cognitive system is changing during its cognitive development as a result of acquiring more concepts? In this paper, we address several IQ tests problems (odd-one-out problems, Raven’s Progressive Matrices and Thurstone’s letter series) with a general learning system that is not particularly designed on purpose to solve intelligence tests. The goal is to better understand the role of the basic cognitive operational constructs (such as identity, difference, order, counting, logic, etc.) that are needed to solve these intelligence test problems and serve as a proof-of-concept for evaluation in other developmental problems. From here, we gain some insights into the characteristics and usefulness of these tests and how careful we need to be when applying human test problems to assess the abilities and cognitive development of robots and other artificial cognitive systems.     

I think I can, I think I can: Examining the within-person coupling of control beliefs and cognition in older adults

We examined short-term intraindividual variability in control beliefs (competence and locus of control) and cognitive performance and the extent to which the constructs travel together over time. Thirty-six older adults (M = 74 years, SD = 5.51) completed questionnaires and cognitive tests twice each day for 60 consecutive days. Results indicated that control beliefs fluctuate within people across time. Multilevel models revealed that control and competence are coupled with concurrent and subsequent performance, but the benefit of occasion-level increases in control depends on individuals' average control. These findings underscore the importance of examining constructs using a within-person approach to identify dynamic processes in cognitive aging. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

Local and global effects of motivation on cognitive control

Motivation has been found to enhance cognitive control, but the mechanisms by which this occurs are still poorly understood. Cued motivational incentives (e.g., monetary rewards) can modulate cognitive processing locally??that is, on a trial-by-trial basis (incentive cue effect). Recently, motivational incentives have also been found to produce more global and tonic changes in performance, as evidenced by performance benefits on nonincentive trials occurring within incentive blocks (incentive context effect). In two experiments involving incentivized cued task switching, we provide systematic evidence that the two effects are dissociable. Through behavioral, diffusion-modeling, and individual-differences analyses, we found dissociations between local and global motivational effects that were linked to specific properties of the incentive signals (i.e., timing), while also ruling out alternative interpretations (e.g., practice and speed??accuracy trade-off effects). These results provide important clues regarding the neural mechanisms by which motivation exerts both global and local influences on cognitive control.     

Cognition in rapists Theoretical patterns by typological breakdown

Cognitive processing has been implicated in sexual offending in a number of recent theoretical and empirical papers. Clinicians have emphasized the need to challenge the cognitive distortions that are often exhibited by sexual offenders, and they have incorporated cognitive restructuring components into treatment programs. However, until recently, the literature has lacked an integrative theoretical approach to cognition in sexual offenders. In addition, the use of generic classifications (i.e., rapist, child molester) in both theoretical and empirical work has obscured understanding of the role played by a number of etiological factors, including cognition. In this paper, we present a multifaceted approach to cognition in rapists. We begin with a brief overview of a conceptual framework of cognitive dimensions. Next, we consider the heterogeneity that characterizes rapists as a group and the problems this presents for research. We suggest that Knight and Prentky's typology may prove useful for dealing with these problems and, in the final section, we provide our conceptualization of the potential distorted cognitions for each of the subtypes within the typology.     

The need for marital violence prevention efforts: A behavioral—cognitive secondary prevention program for engaged and newly married couples

The purpose of this paper is threefold: (a) to review research indicating that prevention efforts are needed for marital violence; (b) to present the rationale for a prevention approach derived from a behavioral—cognitive, social learning perspective; and (c) to describe a new behavioral—cognitive secondary prevention program that we are developing for engaged and newly married couples at risk for marital violence. Given these goals, we first present data demonstrating that physical aggression is often introduced early in a relationship and is likely to continue without intervention. After reviewing questions about the efficacy of marital violence treatment programs, we propose that prevention is a potentially important means of reducing and eliminating relationship violence. We then review behavioral—cognitive models of marital violence and the empirical data supporting these models. Based upon this review, we introduce a new behavioral—cognitive program (PREP/SAVE) designed to prevent relationship violence. Finally, we briefly present our pilot work and planned research on the efficacy of PREP/SAVE, along with some issues for consideration by future researchers.     

They all look the same to me (unless they're angry): from out-group homogeneity to out-group heterogeneity

People often find it more difficult to distinguish ethnic out-group members compared with ethnic in-group members. A functional approach to social cognition suggests that this bias may be eliminated when out-group members display threatening facial expressions. In the present study, 192 White participants viewed Black and White faces displaying either neutral or angry expressions and later attempted to identify previously seen faces. Recognition accuracy for neutral faces showed the out-group homogeneity bias, but this bias was entirely eliminated for angry Black faces. Indeed, when participants' cognitive processing capacity was constrained, recognition accuracy was greater for angry Black faces than for angry White faces, demonstrating an out-group heterogeneity bias.     

Health decision making and behavior: The role of affect‐laden constructs

A common criticism of social cognitive models predicting health behavior is their exclusion of affect—an important component of individual‐level decision processes for behavior change. Yet the role of affect, and its interaction with cognitions, is complex. We provide an overview of affect and pathways through which it is proposed to influence outcomes. Then, we discuss several common social cognitive models of health behavior change. Next, we highlight specific affect‐laden constructs (those that incorporate affective and cognitive components) related to health behavior change. We aim to provide clarity on terminology and measurement of the affect‐laden constructs and evidence associating them with health behavior. Finally, we discuss strategies for incorporating these constructs within popular cognitive‐based theories and provide suggestions for future work.     

Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability

Understanding individual differences in cognitive performance is an important part of understanding how variations in underlying cognitive processes can result in variations in task performance. However, the exploration of individual differences in the components of the decision process—such as cognitive processing speed, response caution, and motor execution speed—in previous research has been limited. Here, we assess the heritability of the components of the decision process, with heritability having been a common aspect of individual differences research within other areas of cognition. Importantly, a limitation of previous work on cognitive heritability is the underlying assumption that variability in response times solely reflects variability in the speed of cognitive processing. This assumption has been problematic in other domains, due to the confounding effects of caution and motor execution speed on observed response times. We extend a cognitive model of decision‐making to account for relatedness structure in a twin study paradigm. This approach can separately quantify different contributions to the heritability of response time. Using data from the Human Connectome Project, we find strong evidence for the heritability of response caution, and more ambiguous evidence for the heritability of cognitive processing speed and motor execution speed. Our study suggests that the assumption made in previous studies—that the heritability of cognitive ability is based on cognitive processing speed—may be incorrect. More generally, our methodology provides a useful avenue for future research in complex data that aims to analyze cognitive traits across different sources of related data, whether the relation is between people, tasks, experimental phases, or methods of measurement.     

A new cognitive behavioural approach to the treatment of obesity

While behavioural approaches to the management of obesity are often successful in achieving clinically significant weight loss, the weight lost is generally regained. The great majority of patients return to their pre-treatment weight within 3 years. There have been attempts to improve the long-term effectiveness of behavioural treatment but the results have been disappointing. In this paper we suggest that, among other factors, this is because of the neglect of the contribution of cognitive factors to weight regain, and because there is often ambiguity over the goals of treatment. We present a cognitive behavioural analysis of the processes involved in weight regain, and we describe a new cognitive behavioural treatment derived from it. This treatment is designed to minimise the problem of weight regain by addressing psychological obstacles to the acquisition of, and long-term adherence to, effective weight-control behaviour.     

Cognitive Vulnerability to Persistent Depression

Abstract

The account of cognitive vulnerability to depression offered by Beck's cognitive model is summarised. As this account currently lacks consistent empirical support, an alternative, related, account is presented. This proposes that, once a person is initially depressed, an important factor that determines whether their depression remains mild or transient, or becomes more severe and persistent, is the nature of the negative cognitive processes and constructs that become active and accessible in the depressed state. These interact with the nature of environmental difficulties, available social support, and biological factors, to determine whether a depression-maintaining cognitive-affective vicious cycle will be set up.

Results from studies specifically designed to test predictions from this account have yielded positive results. Findings consistent with the hypothesis have also been obtained in other prospective studies which have shown that cognitive measures, administered in the depressed state, predict the future course of depression independently of initial levels of depression.

The hypothesis is elaborated to incorporate the demonstrated relationship of elevated neuroticism to risk and persistence of depression. Recent views on the nature of sex differences in rates of depression, and on the relationship of attributional style to depression are also compatible with the hypothesis. It is concluded that the hypothesis has encouraging preliminary support.

SUMMARY

Two broad aspects of cognitive vulnerability to depression can be distinguished. The first is the tendency to evaluate certain types of life event in ways which will produce intense rather than mild depression. This is the aspect of vulnerability on which Beck's cognitive model appears to concentrate. There are considerable difficulties in assessing this aspect of Beck's model and it is not consistently supported by comparison of recovered depressed patients with control groups.

The second aspect of cognitive vulnerability relates to the cognitive processes and constructs that become active and accessible once a person is in a state of depression. Within this approach, vulnerability to onset and vulnerability to persistence of depression can be roughly distinguished, depending on whether the focus is on the period when the depression has been present for only a brief period, or is mild, or whether depression has already existed for some time and reached at least moderate severity. The account presented here proposes that a crucial factor determining whether an initially mild or transient depressed state remains mild or soon disappears, or becomes more severe and persistent, is whether a vicious cycle based on a reciprocally reinforcing relationship between depressed mood and negative cognitive processing can become established. The probability that this cycle will become established is, in turn, a function of a complex interaction between the environmental difficulties facing a person, the support available to them, their biological state, and the nature of the cognitive processes and constructs that are active and accessible in the depressed state. The kind of cognitive process and constructs that are most active and accessible in the depressed state will be a function both of the patterns of cognitive processing that are characteristic of the person in their normal mood state (such as those related to neuroticism), and of the patterns of cognitive processing that become active in the depressed state. It is on these latter that the differential activation hypothesis concentrates. It suggests that individual differences in the cognitive processes and constructs that become active and accessible in the depressed' state can make an important contribution to whether an initial state of depression becomes more intense, or fades away, and whether, once established, depression of moderate severity persists a long time or a short time. In particular, it is proposed that processes and constructs related to global negative characterological evaluations of the self or that, in other ways, lead to interpretations of experience as highly aversive and uncontrollable are likely to act to intensify and maintain depression.

Two investigations specifically designed to test predictions from the differential activation hypothesis yielded positive results. Further supportive evidence is available from a number of other studies which have examined the relationship between cognitive measures, administered in the depressed state, and the future course of depression. Such studies haverecurringly found that persistence or return of depression is associated with initially high scores on measures of negative cognition, and this association remains when the effects of initial depression level are partialled out.

In addition to this encouraging preliminary empirical support, the differential activation hypothesis has the further attraction that it can incorporate into this account the well established finding that neuroticism is associated with risk of becoming depressed, and of depression persisting. Further, it is quite consistent with recent proposals related to sex differences in rates of depression, and to the relationship of attributional style to depression.     

Applications of multivariate visualization to behavioral sciences

The complexity of psychological science often requires the collection and analysis of multidimensional data. Such data bring about a corresponding cognitive load that has led scientists to develop techniques of scientific visualization to ease the burden. This paper provides an introduction to scientific visualization techniques, a framework for understanding those techniques, and an assessment of the suitability of this approach for psychology. The framework employed builds on the notion of balancingnoise andsmooth in statistical analysis.     

Focus on variability: New tools to study intra-individual variability in developmental data

In accordance with dynamic systems theory, we assume that variability is an important developmental phenomenon. However, the standard methodological toolkit of the developmental psychologist offers few instruments for the study of variability. In this article we will present several new methods that are especially useful for visualizing and describing intra-individual variability in individual time-serial data of repeated observations. In order to illustrate these methods, we apply them to data of early language development. After reviewing the common techniques and measures, we present new methods that show variability in developmental time-series data: the moving min–max graph, and the progmax–regmin graph. In addition, we demonstrate a technique that is able to detect sudden increases of variability: the critical frequency method. Also, we propose a technique that is based on a central assumption of the measurement-error-hypothesis: namely the symmetric distribution of error. Finally, as traditional statistical techniques have little to offer in testing variability hypotheses, we examine the possibilities that are provided by random sampling techniques. Our aim with the present discussion of variability and the demonstration of some simple yet illustrative techniques is to help researchers focus on rich additional sources of information that will lead to more interesting hypotheses and more powerful testing procedures, adapted to the unique nature of developmental data.     

Anchoring and Adjusting in Questionnaire Responses

Do survey designers bias respondents' answers on attitude/opinion questionnaires through the organization of their survey items? We hypothesize that respondents often employ an anchoring and adjusting strategy in which their response to an initial survey item provides a cognitive anchor from which they insufficiently adjust in answering the subsequent item. Three experiments indicate that respondents often anchor and insufficiently adjust in certain situations. Ultimately, this tendency can affect reliability estimates of scales and the resultant correlations with other measures. In organizing their surveys, researchers may wish to combat this bias by intermixing items designed for different but related constructs.