Self‐Fulfilling Prophecies: The Influence of Gender Stereotypes on Functional Neuroimaging Research on Emotion

Feminist scholars have shown that research on sex/gender differences in the brain is often used to support gender stereotypes. Scientists use a variety of methodological and interpretive strategies to make their results consistent with these stereotypes. In this paper, I analyze functional magnetic resonance imaging (fMRI) research that examines differences between women and men in brain activity associated with emotion and show that these researchers go to great lengths to make their results consistent with the view that women are more emotional than men.     

脑成像技术及其在决策研究中的应用

先进的无创神经影像技术(如EEG和fMRI)允许研究者直接观察被试在完成多种知觉、运动和认知任务时的大脑活动。将脑功能成像与严密的实验设计和数据分析方法结合起来, 我们可以考察大脑不同脑区的功能以及它们之间的交互作用。随着脑功能成像技术在研究人类决策行为中的日益成功运用, 一个被称为神经经济学的新兴领域正在逐渐形成和发展起来。本文中首先对脑成像技术进行一个总体介绍, 重点在于探讨近年来在多体素分析和多模态数据整合的最新进展。接下来, 我们以风险决策、跨时间选择以及社会决策领域的几个研究为例, 阐述神经影像技术如何能加深和拓展我们对人类决策的认识。最后, 我们讨论了神经经济学中研究中面临的一些挑战以及未来的研究方向。     

基本情绪的神经基础：来自fMRI与机器视觉技术研究的证据

基本情绪理论(basic emotion theory)是情绪科学领域最具代表性的理论, 该理论认为人类情绪是由有限的几种基本情绪组成的, 如恐惧、愤怒、喜悦、悲伤等。基本情绪是为了完成基本生命任务(fundamental life task)进化而来的, 每一种基本情绪都有独特的神经结构和生理基础。尽管基本情绪理论被广泛接受, 但是对于基本情绪的种类却莫衷一是。近几十年来, 许多fMRI研究试图确定各种基本情绪的独特神经结构基础, 而且取得了许多重要发现, 比如厌恶和脑岛有关, 悲伤和前扣带回有关, 杏仁核是与恐惧有关的重要边缘结构等。但是, 最近有人进行了元分析研究, 发现许多基本情绪存在混淆的大脑区域, 因此对基本情绪的特定脑区理论提出质疑, 甚至否定基本情绪理论。通过对基本情绪及其神经基础的探讨, 以及对基本情绪理论的最新功能性磁共振成像研究进行梳理分析, 提出有关基本情绪理论的争论来源于基本情绪种类的确定, 因为许多所谓的不同基本情绪实际上是同一种基本情绪, 提出人类可能只有3种基本情绪。未来研究可以利用机器视觉技术进一步推动基本情绪脑影像研究。     

A Survey of the Sources of Noise in fMRI

Functional magnetic resonance imaging (fMRI) is a noninvasive method for measuring brain function by correlating temporal changes in local cerebral blood oxygenation with behavioral measures. fMRI is used to study individuals at single time points, across multiple time points (with or without intervention), as well as to examine the variation of brain function across normal and ill populations. fMRI may be collected at multiple sites and then pooled into a single analysis. This paper describes how fMRI data is analyzed at each of these levels and describes the noise sources introduced at each level.     

Computational Cognitive Neuroscience of the Visual System

ABSTRACT— Should psychologists care about functional magnetic resonance imaging (fMRI)? Within the field of visual perception, the answer to this question is an emphatic "yes." There is a long history of close interactions between psychology and neuroscience in the study of vision. In the 1980s, vision researchers developed a general framework for combining the two fields, and that framework still supports much current research. This article will briefly cover this general approach and then will illustrate how neuroimaging allows the framework to be applied to human perception. In short, fMRI can measure how information is represented in sequential stages of processing. These same representations can also be measured behaviorally. Theories of vision specify how the sequential representations participate in well-defined computations that underlie perception.     

Neural correlates of written emotion word processing: a review of recent electrophysiological and hemodynamic neuroimaging studies

A growing body of literature investigating the neural correlates of emotion word processing has emerged in recent years. Written words have been shown to represent a suitable means to study emotion processing and most importantly to address the distinct and interactive contributions of the two dimensions of emotion: valence and arousal. The aim of the present review is to integrate findings from electrophysiological (ERP) and hemodynamic neuroimaging (fMRI) studies in order to provide a better understanding of emotion word processing. It provides an up-to-date review of recent ERP studies since the review by Kissler et al. (2006) as well as the first review of hemodynamic brain imaging studies in the field. A discussion of theoretical and methodological issues is also presented, along with suggestions for future research.     

ELSI priorities for brain imaging

As one of the most compelling technologies for imaging the brain, functional MRI (fMRI) produces measurements and persuasive pictures of research subjects making cognitive judgments and even reasoning through difficult moral decisions. Even after centuries of studying the link between brain and behavior, this capability presents a number of novel significant questions. For example, what are the implications of biologizing human experience? How might neuroimaging disrupt the mysteries of human nature, spirituality, and personal identity? Rather than waiting for an ethical agenda to emerge from some unpredictable combination of the concerns of ethicists and researchers, the attention of journalists, or after controversy is sparked by research that cannot be retracted, we queried key figures in bioethics and the humanities, neuroscience, media, industry, and patient advocacy in focus groups and interviews. We identified specific ethical, legal and social issues (ELSI) that highlight researcher obligations and the nonclinical impact of the technology at this new frontier.     

Functional MRI of Language in Aphasia: A Review of the Literature and the Methodological Challenges

Animal analogue studies show that damaged adult brains reorganize to accommodate compromised functions. In the human arena, functional magnetic resonance imaging (fMRI) and other functional neuroimaging techniques have been used to study reorganization of language substrates in aphasia. The resulting controversy regarding whether the right or the left hemisphere supports language recovery and treatment progress must be reframed. A more appropriate question is when left-hemisphere mechanisms and when right-hemisphere mechanisms support recovery of language functions. Small lesions generally lead to good recoveries supported by left-hemisphere mechanisms. However, when too much language eloquent cortex is damaged, right-hemisphere structures may provide the better substrate for recovery of language. Some studies suggest that recovery is particularly supported by homologues of damaged left-hemisphere structures. Evidence also suggests that under some circumstances, activity in both the left and right hemispheres can interfere with recovery of function. Further research will be needed to address these issues. However, daunting methodological problems must be managed to maximize the yield of future fMRI research in aphasia, especially in the area of language production. In this review, we cover six challenges for imaging language functions in aphasia with fMRI, with an emphasis on language production: (1) selection of a baseline task, (2) structure of language production trials, (3) mitigation of motion-related artifacts, (4) the use of stimulus onset versus response onset in fMRI analyses, (5) use of trials with correct responses and errors in analyses, and (6) reliability and stability of fMRI images across sessions. However, this list of methodological challenges is not exhaustive. Once methodology is advanced, knowledge from conceptually driven fMRI studies can be used to develop theoretically driven, mechanism-based treatments that will result in more effective therapy and to identify the best patient candidates for specific treatments. While the promise of fMRI in the study of aphasia is great, there is much work to be done before this technique will be a useful clinical tool.     

视觉表象可视化——视觉表象研究的新途径

功能磁共振技术在表象研究中得到广泛应用是表象研究追求客观化精确性的必然趋势。本文介绍了功能磁共振多变量模式分析方法及其演变历程,探讨了借助该方法实现“视觉表象可视化”的理论依据与亟待解决的关键问题。分析指出“视觉表象可视化”将为表象研究提供全新的研究视角与方法途径。     

ELSI Priorities for Brain Imaging

As one of the most compelling technologies for imaging the brain, functional MRI (fMRI) produces measurements and persuasive pictures of research subjects making cognitive judgments and even reasoning through difficult moral decisions. Even after centuries of studying the link between brain and behavior, this capability presents a number of novel significant questions. For example, what are the implications of biologizing human experience? How might neuroimaging disrupt the mysteries of human nature, spirituality, and personal identity? Rather than waiting for an ethical agenda to emerge from some unpredictable combination of the concerns of ethicists and researchers, the attention of journalists, or after controversy is sparked by research that cannot be retracted, we queried key figures in bioethics and the humanities, neuroscience, media, industry, and patient advocacy in focus groups and interviews. We identified specific ethical, legal and social issues (ELSI) that highlight researcher obligations and the nonclinical impact of the technology at this new frontier.     

抑郁症的影像遗传学研究:探索基因与环境的交互作用

抑郁症具有中等的遗传度。通过影像遗传学方法探讨抑郁相关基因的多态性对神经活动的影响,发现编码五羟色胺、促肾上腺素释放激素受体、多巴胺等神经递质或受体的基因多态性会影响杏仁核、前扣带等情绪加工脑区的功能或结构,且多数基因与压力生活经历发生交互作用。表明基因与环境的交互作用在抑郁症发病机理中扮演重要角色。未来的研究应拓展遗传和神经影像分析方法,重视环境因素的测量,通过整合遗传、神经影像及环境变量构建抑郁病理模型。     

A neural predictor of cultural popularity

We use neuroimaging to predict cultural popularity — something that is popular in the broadest sense and appeals to a large number of individuals. Neuroeconomic research suggests that activity in reward-related regions of the brain, notably the orbitofrontal cortex and ventral striatum, is predictive of future purchasing decisions, but it is unknown whether the neural signals of a small group of individuals are predictive of the purchasing decisions of the population at large. For neuroimaging to be useful as a measure of widespread popularity, these neural responses would have to generalize to a much larger population that is not the direct subject of the brain imaging itself. Here, we test the possibility of using functional magnetic resonance imaging (fMRI) to predict the relative popularity of a common good: music. We used fMRI to measure the brain responses of a relatively small group of adolescents while listening to songs of largely unknown artists. As a measure of popularity, the sales of these songs were totaled for the three years following scanning, and brain responses were then correlated with these “future” earnings. Although subjective likability of the songs was not predictive of sales, activity within the ventral striatum was significantly correlated with the number of units sold. These results suggest that the neural responses to goods are not only predictive of purchase decisions for those individuals actually scanned, but such responses generalize to the population at large and may be used to predict cultural popularity.     

面孔吸引力的回顾与前瞻

面孔吸引力是传递社会情感性信息的重要来源。面孔的平均化、对称性、性别二态性特征等因素会影响对面孔吸引力的评价。近年来, 研究者对面孔吸引力的研究已拓展到动态面孔上, 并采用fMRI技术发现当让被试评价有吸引力的面孔时, 杏仁核、眶额叶、腹侧枕叶等脑区被激活。研究者从进化论取向与认知取向两方面来解释人们为何偏好有吸引力的面孔。以往研究在研究内容、研究材料和研究对象等方面尚存不足, 这正是今后的研究方向。     

Quantifying the reliability of image replication studies: The image intraclass correlation coefficient (I2C2)

This article proposes the image intraclass correlation (I2C2) coefficient as a global measure of reliability for imaging studies. The I2C2 generalizes the classic intraclass correlation (ICC) coefficient to the case when the data of interest are images, thereby providing a measure that is both intuitive and convenient. Drawing a connection with classical measurement error models for replication experiments, the I2C2 can be computed quickly, even in high-dimensional imaging studies. A nonparametric bootstrap procedure is introduced to quantify the variability of the I2C2 estimator. Furthermore, a Monte Carlo permutation is utilized to test reproducibility versus a zero I2C2, representing complete lack of reproducibility. Methodologies are applied to three replication studies arising from different brain imaging modalities and settings: regional analysis of volumes in normalized space imaging for characterizing brain morphology, seed-voxel brain activation maps based on resting-state functional magnetic resonance imaging (fMRI), and fractional anisotropy in an area surrounding the corpus callosum via diffusion tensor imaging. Notably, resting-state fMRI brain activation maps are found to have low reliability, ranging from .2 to .4. Software and data are available to provide easy access to the proposed methods.     

Role of Functional Magnetic Resonance Imaging in Drug Discovery

In this review, we survey the state of the field of functional magnetic resonance imaging (fMRI) as it relates to drug discovery and drug development. We highlight the advantages and limitations of fMRI for this purpose and suggest ways to improve the use of fMRI for developing new therapeutics, with emphasis on treatments for anxiety disorders. Fundamentally, pharmacological studies with standard psychiatric treatments using standardized behavioral probes during fMRI will need to be carried out to determine characteristic brain signatures that could be used to predict whether novel compounds are likely to have specific therapeutic effects.     

脑功能成像的新方法——功能性近红外光谱技术（fNIRS）

功能性近红外光谱技术（functional near-infrared spectroscopy, fNIRS）利用血液的主要成分对600-900nm近红外光良好的散射性,从而获得大脑活动时氧合血红蛋白和脱氧血红蛋白的变化情况。目前该技术开始运用于自然情境下的高级认知、发展心理学、异常心理学等多个领域的研究。该技术具有造价较低、便携性好,无噪音、无创性和对实验过程中被试动作不会过份敏感等优点,但也存在空间分辨率不高和校正算法有待进一步完善等方面的不足。未来fNIRS的研究可以与fMRI等其他成像技术进行结合,开展婴幼儿和特殊人群的认知神经科学研究以及自然情境下大脑认知的神经机制研究。     

Functional magnetic resonance imaging: basic principles of and application to developmental science

Functional magnetic resonance imaging (fMRI) has quickly become the preferred technique for imaging normal brain activity, especially in the typically developing child. This technique takes advantage of specific magnetic properties and physiological processes to generate images of brain activity. These images can be interpreted as a function of group or individual based differences to explore developmental patterns and/or cognitive abilities. In this paper we present an overview of the basic principles of fMRI and a discussion of what is currently known about the physiological bases of the resulting signal. We also report findings from developmental fMRI studies that examine the development of cognitive and neural systems underlying attention and memory. Behavioral performance and age‐related neural changes are examined independently in an attempt to disentangle developmental differences from individual variability in performance.     

Alternative-based thresholding with application to presurgical fMRI

Functional magnetic reasonance imaging (fMRI) plays an important role in pre-surgical planning for patients with resectable brain lesions such as tumors. With appropriately designed tasks, the results of fMRI studies can guide resection, thereby preserving vital brain tissue. The mass univariate approach to fMRI data analysis consists of performing a statistical test in each voxel, which is used to classify voxels as either active or inactive—that is, related, or not, to the task of interest. In cognitive neuroscience, the focus is on controlling the rate of false positives while accounting for the severe multiple testing problem of searching the brain for activations. However, stringent control of false positives is accompanied by a risk of false negatives, which can be detrimental, particularly in clinical settings where false negatives may lead to surgical resection of vital brain tissue. Consequently, for clinical applications, we argue for a testing procedure with a stronger focus on preventing false negatives. We present a thresholding procedure that incorporates information on false positives and false negatives. We combine two measures of significance for each voxel: a classical p-value, which reflects evidence against the null hypothesis of no activation, and an alternative p-value, which reflects evidence against activation of a prespecified size. This results in a layered statistical map for the brain. One layer marks voxels exhibiting strong evidence against the traditional null hypothesis, while a second layer marks voxels where activation cannot be confidently excluded. The third layer marks voxels where the presence of activation can be rejected.     

计算的脑机制研究进展

采用计算任务来探讨脑机制已成为国外研究大脑活动的重要领域。该文阐述了神经心理学和脑成像领域有关计算的脑机制研究。神经心理学及脑损伤的研究结果表明,大脑两侧顶下小叶和左前额叶与计算加工有关。ERP、PET和fMRI脑成像研究结果显示,数字命名与比较、心算、精算和估算等不同计算任务,其所激活的脑部位有所差异,但是大脑两侧顶下小叶和左前额叶可能是计算加工的主要脑部位。由于研究材料、方法和程序的不同,大脑皮层的广泛区域都有可能参与计算加工。