New methods for new questions: obstacles and opportunities

Two forces motivate this special section, "New Methods for New Questions in Developmental Psychology." First are recent developments in social science methodology and the increasing availability of those methods in common software packages. Second, at the same time psychologists' understanding of developmental phenomena has continued to grow. At their best, these developments in theory and methods work in tandem, fueling each other. Newer methods make it possible for scientists to better test their ideas; better ideas lead methodologists to techniques that better reflect, capture, and quantify the underlying processes. The articles in this special section represent a sampling of these new methods and new questions. The authors describe common themes in these articles and identify barriers to future progress, such as the lack of data sharing by and analytical training for developmentalists.     

Operant-contingency-based preparation of children for functional magnetic resonance imaging

Functional magnetic resonance imaging (fMRI) is used to study brain function during behavioral tasks. The participation of pediatric subjects is problematic because reliable task performance and control of head movement are simultaneously required. Differential reinforcement decreased head motion and improved vigilance task performance in 4 children (2 with behavioral disorders) undergoing simulated fMRI scans. Results show that behavior analysis techniques can improve child cooperation during fMRI procedures.     

Functional magnetic resonance imaging: Overview and methods for psychological research

Functional magnetic resonance imaging (fMRI) allows noninvasive imaging of hemodynamic changes related to neural activity. This technique can be used in single-subject designs and can provide millimeter spatial resolution and temporal resolution in the range of 5–10 sec. This paper provides a brief introduction to MRI techniques and their application to functional neuroimaging, focusing on methodological issues that are of particular concern to psychologists, including methods for presenting computerized stimuli to subjects without disrupting the scanner, experimental design issues, and statistical analysis and image processing procedures. To illustrate methodological issues, recent results from a series of studies looking at the topographic organization of visual cortex are presented. General issues concerning limitations in this technique, future directions in its development, its relationship to other neuroimaging techniques, and the role of functional neuroimaging in psychological research are addressed in the Discussion.     

Combining descriptive and functional analysis logic to evaluate idiosyncratic variables maintaining aggression

For one boy with developmental disabilities, we conducted naturalistic observations and saw that aggression occurred during instructional task presentations. Next, in an experimental analysis, we manipulated the manner in which instructions were presented. Results showed that differentially high rates of aggression were observed when the manner in which instructions were presented was manipulated. Based on the results of the assessment, a successful intervention was developed that incorporated the idiosyncratic finding observed during both the naturalistic observations and the experimental analysis. Copyright © 2004 John Wiley & Sons, Ltd.     

Combining independent p values: extensions of the Stouffer and binomial methods

The Stouffer z method, and other popular methods for combining p values from independent significance tests, suffer from three problems: vulnerability to criticisms of the individual studies being pooled, difficulty in handling the "file drawer problem," and vague conclusions. These problems can be reduced or eliminated by supplementing a test of combined probability with a variety of new analyses described here. Along with other advantages, these analyses provide a way to address the file drawer problem without making limiting assumptions about the nature of studies not included in the pooled analysis. These analyses can supplement a traditional meta-analysis, yielding conclusions not provided by widely used meta-analytic procedures.     

Combining quantitative and qualitative methods in evaluating a course of family therapy

This paper reports on the use of a single case (A-B) design, with multiple measures of first and second order change and family satisfaction. A within-session process analysis was also made. Second order change was found to relate most clearly to the process of sessions. The single case design and process study is easy to apply in practice and is a potential response to clinical audit. The problems of combining quantitative and qualitative approaches are discussed.     

Structural and functional imaging in children with partial epilepsy

Imaging plays an increasingly important role in the evaluation of children with complex partial seizures. Most partial epilepsy, especially of temporal lobe origin, begins during childhood. Structural imaging with high-resolution MRI can help identify the etiology of partial seizure disorders in many children. MRI studies also show the more widespread effect of seizures on brain structure. Progressive volume loss of the hippocampal formation in some patients with temporal lobe epilepsy provides evidence that continued seizures may be associated with progressive neuronal injury. FDG-PET studies show regional decreases in glucose consumption in the cortical zone from which seizures arise. Functional abnormalities often are more extensive than the seizure focus. Studies in children with recent-onset epilepsy show that metabolic abnormalities are considerably less common than in adults with partial epilepsy, supporting the notion that in some patients there may be progressive metabolic changes that occur with continued seizures. Functional MRI may be used to identify language areas in children with partial epilepsy. fMRI language tasks reliably identify the dominant hemisphere for language dominance when compared to the intracarotid amytal procedure. Tests of verbal fluency and semantic decision identify frontal lobe language areas, while reading text paradigms and auditory passage paradigms are better for identifying temporal language areas. A panel of paradigms is best used to identify language areas in children being considered for epilepsy surgery. fMRI is a valuable tool for elucidating the impact of chronic neurologic disease states on the functional organization of language networks during development.     

Neural modeling,functional brain imaging,and cognition

The richness and complexity of data sets acquired from PET or fMRI studies of human cognition have not been exploited until recently by computational neural-modeling methods. In this article, two neural-modeling approaches for use with functional brain imaging data are described. One, which uses structural equation modeling, estimates the functional strengths of the anatomical connections between various brain regions during specific cognitive tasks. The second employs large-scale neural modeling to relate functional neuroimaging signals in multiple, interconnected brain regions to the underlying neurobiological time-varying activities in each region. Delayed match-to-sample (visual working memory for form) tasks are used to illustrate these models.     

A space for measuring mind and brain: interdisciplinarity and digital tools in the development of brain mapping and functional imaging, 1980-1990

Brain mapping is said to have opened up the possibility of a new collaboration between the sciences of mind and the sciences of the brain, potentially leading to a new kind of scientist, sometimes called "cognitive neuroscientist." This article traces the recent history of brain mapping and analyzes the processes that have led to a new "close working relationship" between the sciences of mind and brain. A key part of the working relationship is shown to be constituted through the development of the Talairach system, a digital space in which to measure structure and function. The development of meaningful brain mapping data involves the creation of measurement spaces that allow interdisciplinary collaboration and is not the result solely of theoretical developments or of the application of a technology.     

Structural equation modeling of multitrait-multimethod data: different models for different types of methods

The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods used) should guide the choice of the statistical model to analyze the data. In this respect, the authors distinguish between (a) interchangeable methods, (b) structurally different methods, and (c) the combination of both kinds of methods. The authors present an appropriate model for each type of method. All models allow separating measurement error from trait influences and trait-specific method effects. With respect to interchangeable methods, a multilevel confirmatory factor model is presented. For structurally different methods, the correlated trait-correlated (method-1) model is recommended. Finally, the authors demonstrate how to appropriately analyze data from MTMM designs that simultaneously use interchangeable and structurally different methods. All models are applied to empirical data to illustrate their proper use. Some implications and guidelines for modeling MTMM data are discussed.     

Memory for questions and amount of processing

Two experiments were carried out on how questions are remembered. Subjects watched a videotape of a series of simple events and then answered 18 questions about these events. The questions were all of the same general syntactic form (e.g., “Did the pencil fall against the jug on A?”, where A refers to a particular location). They were designed to elicit three sorts of answer: “yes,” “no” because the event took place at another location, and “no” because the event did not take place at all. After the subjects had answered the questions, they were given an unexpected test of their ability to recall them. A difference in the memorability of the questions was predicted on the basis of a procedural theory of comprehension and a hypothesis about memory subjects should cease to process a question when they realize that it concerns an event that did not take place, and such questions should be harder to remember because they are processed to a lesser degree than the other sorts of question. Experiment 1 confirmed the predictions, but its results in part could be accounted for by assuming that subjects recalled the original events and used them as a cue to remembering the questions. Experiment 2 eliminated this explanation by showing that when subjects do not have to answer certain questions, their recall of them is very poor. However, the same differences in the memorability of the three sorts of question were obtained for both answered and unanswered questions.     

Advances in magnetic resonance imaging methods for the evaluation of bipolar disorder

This article reviews the current state of magnetic resonance imaging techniques as applied to bipolar disorder. Addressed are conventional methods of structural neuroimaging and recently developed techniques. This latter group comprises volumetric analysis, voxel-based morphometry, the assessment of T2 white matter hyperintensities, shape analysis, cortical surface-based analysis, and diffusion tensor imaging. Structural analysis methods used in magnetic resonance imaging develop exponentially, and now present opportunities to identify disease-specific neuroanatomic alterations. Greater acuity and complementarity in measuring these alterations has led to the generation of further hypotheses regarding the pathophysiology of bipolar disorder. Included in the summary of findings is consideration of a resulting neuroanatomic model. Integrative issues and future directions in this relatively young field, including multi-modal approaches enabling us to produce more comprehensive results, are discussed.     

The need for central resources in answering questions in different domains: Folk psychology,biology, and economics

This study examined whether, when lay people reason about everyday domains, they do so in a slow, serial, deliberate process or using an automatic, effortless, associative process, and whether there are differences in this respect between content domains. The cognitive resources used by lay persons in reasoning about everyday domains were investigated using a dual task methodology. Fifty-eight adult participants answered computer-administered questions on folk biology (ToB), folk economics (ToE), and folk psychology, where the latter included questions requiring participants to infer an emotion from a verbally presented situation (ToP) and false-belief tasks (ToM). Each domain was tested with questionnaires at two levels of difficulty. Half the participants concurrently performed the 2-back task. Cognitive load reduced accuracy on the main task for ToM tasks (especially for second-order false-belief items) but not for the other domains. Performing the main tasks reduces accuracy and increases latencies on the secondary task for all domains. These findings suggest that the appropriate generalisation does not relate to content domains (such as folk psychology vs. folk biology), but rather to the nature of the task under consideration. For ToE, ToB, and ToP, the relevant inference questions appear to be processed mainly by the associative systems in LTM, and the process is not affected by a concurrent secondary task. For ToM, the response generation processing occurs in the analytic subsystem, and is therefore affected by cognitive load. Further, the more difficult set of questions impaired the secondary task more than the simpler set, in every domain and in terms of both accuracy and latency. This suggests that the processing involved in the associative system consumes domain-general resources too.     

Development of a simple pressure and heat stimulator for intra- and interdigit functional magnetic resonance imaging

For this study, we developed a simple pressure and heat stimulator that can quantitatively control pressure and provide heat stimulation to intra- and interdigit areas. The developed stimulator consists of a control unit, drive units, and tactors. The control unit controls the stimulation parameters, such as stimulation types, intensity, time, and channel, and transmits a created signal of stimulation to the drive units. The drive units operate pressure and heat tactors in response to commands from the control unit. The pressure and heat tactors can display various stimulation intensities quantitatively, apply stimulation continuously, and adjust the stimulation areas. Additionally, they can easily be attached to and detached from the digits. The developed pressure and heat stimulator is small in total size, easy to install, and inexpensive to manufacture. The new stimulator operated stably in a magnetic resonance imaging (MRI) environment without affecting the obtained images. A preliminary functional magnetic resonance imaging (fMRI) experiment confirmed that differences in activation of somatosensory areas were induced from the pressure and heat stimulation. The developed pressure and heat stimulator is expected to be utilized for future intra- and interdigit fMRI studies on pressure and heat stimulation.