Gender Differences in Cognitive and Emotional Adjustment to Traumatic Brain Injury

This study examined gender differences in cognitive and emotional status after traumatic brain injury (TBI) among 262 men and 140 women with TBI referred for neuropsychological evaluations. In this cross-sectional study, cognition was measured in terms of both absolute level of functioning (i.e., raw/standard scores) and estimated decline from premorbid levels expressed as z-deficit scores in the following domains: intelligence [Wechsler Adult Intelligence Scale—Revised (WAIS-R)], memory and attention [Wechsler Memory Scale—Revised (WMS-R)], processing speed (Trails A), and cognitive flexibility (Trails B). Emotional functioning was measured in terms of depression (Beck Depression Inventory) and general emotional distress (Brief Symptom Inventory). Kruskal–Wallis nonparametric one-way ANOVAs indicated that women and men differed significantly on 2 of 8 raw/standard cognitive scores [men demonstrated lower WMS-R General Memory (p < .05) and Trails B scores (p < .0001) and 4 of 8 relative decline scores [women demonstrated more estimated change in VIQ (Verbal IQ) [p < .0001], FSIQ (Full Scale IQ) [p < .01], and Attention (p < .01)]; men demonstrated greater estimated z-decline scores on Trails B (p < .01)]. Women reported significantly higher levels of depression (p < .01), but men endorsed significantly greater general psychological distress (p < .05). Research and assessment recommendations are suggested.     

自然物体分类的ERP研究

对事物进行分类的能力是人类的一种基本认知功能。该文主要就近年来自然物体分类的事件相关电位（ERP）研究情况进行综述。首先介绍与自然物体分类有关的ERP早晚期成分;接着讨论了快速视觉分类的加工机制,认为前馈机制在这种复杂分类任务的视觉加工过程中起重要作用;最后详细介绍了两个分离的视觉加工机制,认为自然物体的视觉分类在不同时程涉及不同机制：即首先是任务无关的早期知觉加工过程,其次是任务相关的、类别无关的加工机制,与被试的决策有关。也讨论了这两个分离的加工过程涉及的神经基础。     

The behavioral complications of pallidal stimulation: a case report

We report a case of recurrent manic episodes associated with chronic deep brain stimulation (DBS) targeting globus pallidus (GP) in the treatment of Parkinson's disease (PD). Cardinal PD symptoms and dyskinesia improved with DBS, and neuropsychological testing found improvements in visuospatial measures associated with left DBS and in verbal memory with right DBS when compared to the patient's preoperative baseline. Under conditions of right, left, and bilateral DBS, the patient experienced bouts of mania and hypomania lasting several days at a time. Positron emission tomography (PET) with (15)O-labeled water was performed after his first manic episode under four conditions: no stimulation, right DBS, left DBS, and bilateral DBS. Although no manic switch occurred during the course of the PET study, all three DBS conditions were associated with decreases in regional flow in the left parahippocampus and hippocampus and right mid-cingulate gyrus. Increases in flow in left inferior frontal area, bilateral insula, dorsolateral prefrontal cortex, and cuneus were common to all DBS conditions. GP stimulation in PD may be associated with behavioral and cognitive effects. Distributed blood flow changes observed with pallidal DBS support a role for the pallidum in cognition and affective regulation.     

Describing the elephant: Structure and function in multivariate data

There is a unity underlying the diversity of models for the analysis of multivariate data. Essentially, they constitute a family models, most generally nonlinear, for structural/functional relations between variables drawn from a behavior domain.     

反社会行为的遗传基础:基因多态性和DNA甲基化

反社会行为是受遗传与环境共同影响的不良行为。分子遗传学和神经生物学的研究发现,基因以基因多态性和DNA甲基化的方式影响脑结构、功能及脑内神经递质的产生和释放,进而影响反社会行为的发生发展。本文从基因多态性和DNA甲基化两方面整理了5-HTT、MAOA、OXTR等8个候选基因与反社会行为的关联。并提出未来研究需进一步探讨基因、脑和神经递质对反社会行为的联合作用。同时,扩展多基因位点、基因多态性与DNA甲基化、积极环境与基因交互作用对反社会行为影响的研究,以全面探索反社会行为发生的遗传基础,进而更加有效的预防反社会行为。     

Model modification

An analysis of empirical data often leads to a rejection of a hypothesized model, even if the researcher has spent considerable efforts in including all available information in the formulation of the model. Thus, the researcher must reformulate the model in some way, but in most instances there is, at least theoretically, an overwhelming number of possible actions that could be taken. In this paper a modification index will be discussed which should serve as a guide in the search for a better model. In statistical terms, the index measures how much we will be able to reduce the discrepancy between model and data, as defined by a general fit function, when one parameter is added or freed or when one equality constraint is relaxed. The modification index discussed in this paper is an improvement of the one incorporated in the LISREL V computer program in that it takes into account changes in all the parameters of the model when one particular parameter is freed.The research reported in this paper has been supported by The Swedish Council for Research in the Humanities and Social Sciences under Research Program Multivariate Statistical Analysis, Project Director Karl G Jöreskog.     

On structural models for analyzing change

The recommendation to base the analysis of multi-wave data upon explicit models for change is advocated. Several univariate and multivariate models are described, which emerge from an interaction between the classical test theory and the structural equation modeling approach. The resulting structural models for analyzing change reflect in some of their parameters substantively interesting aspects of intra- and interindividual change in follow-up studies. The models are viewed as an alternative to an ANOVA-based analysis of longitudinal data, and are illustrated on data from a cognitive intervention study of old adults (Bakes et al , 1986). The approach presents a useful means of analyzing change over time, and is applicable for purposes of (latent) growth curve analysis when analysis of variance assumptions are violated (e.g., Schaie & Hertzog, 1982; Morrison, 1976).     

东莨菪碱所致记忆障碍的脑内突触机制

研究问题是东莨菪碱所致记忆障碍的脑内突触机制,在东莨菪碱所致记忆障碍模型上定量分析屯小鼠海马ＣＡ３区ＧｒａｙＩ突触界面结构参数的变化。     

Fitting multivariage normal finite mixtures subject to structural equation modeling

This paper is about fitting multivariate normal mixture distributions subject to structural equation modeling. The general model comprises common factor and structural regression models. The introduction of covariance and mean structure models reduces the number of parameters to be estimated in fitting the mixture and enables one to investigate a variety of substantive hypotheses concerning the differences between the components in the mixture. Within the general model, individual parameters can be subjected to equality, nonlinear and simple bounds constraints. Confidence intervals are based on the inverse of the Hessian and on the likelihood profile. Several illustrations are given and results of a simulation study concerning the confidence intervals are reported.     

Education and Understanding Structural Causes for Group Inequalities

Group inequalities in the United States are most often attributed to the characteristics of the individuals who belong to these groups; thinking about structural causes of group inequalities is rare. This paper reviews cognitive, cultural, and systemic reasons for this bias. The efficacy of education as a way to increase structural thinking was investigated in two studies of college students' causal thinking about group inequalities. Both studies involved a course on intergroup relations that covered structural sources of racial or ethnic inequalities. Results supported hypotheses that the course would increase structural thinking about racial or ethnic inequality, and that structural thinking would generalize to inequalities not explicitly covered in the course. Both course content and active learning pedagogy were related to structural thinking about inequalities. Active learning was also related to applying structural thinking to targets of change.