fMRI of Emotion
fMRI of Emotion
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DOI：
10.1007/978-1-60327-919-2_14
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发表时间：
2009-01-01
期刊：
影响因子：
--
通讯作者：
Peper, Martin
中科院分区：
文献类型：
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作者：
Robinson, Simon;Moser, Ewald;Peper, Martin
最近的脑成像工作扩大了我们对人类受试者的感知、认知和运动功能机制的理解，但对大脑控制情绪和动机功能的研究还处于早期阶段。简要介绍了情感的重要概念和理论，以及研究设计和多模态方法来回答该领域的核心问题。我们提供了评估健康人情绪激活、感知、学习、记忆和情绪调节行为的大脑相关因素的方法和技术挑战的详细检查。fMRI在杏仁核等结构中尤其具有挑战性，因为它受到与敏感性相关的信号丢失、图像失真、生理和运动伪影以及共定位静息状态网络（RSNs）的影响。我们回顾了如何通过使用优化的回波平面成像（EPI）参数，替代磁共振序列和校正方案来缓解这些问题。采用梯度补偿的多回波EPI或采用平行成像和最佳梯度方向的高分辨率EPI，结合畸变校正，可以在这些问题区域快速获得高质量的数据。尽管情绪的神经影像学研究在测量精度、研究设计和验证神经心理情绪结构的策略方面存在许多困难，但可以在数据质量和对微妙影响的敏感性方面取得相当大的进步。概述的方法为fMRI情绪研究提供了前景，以提供更敏感、可靠和有代表性的测量模型，系统地将情绪调节行为的动态与大脑中地形不同的活动模式联系起来。这将为情绪和人格障碍患者的评估、分类和治疗提供额外的信息。
Recent brain imaging work has expanded our understanding of the mechanisms of perceptual, cognitive, and motor functions in human subjects, but research into the cerebral control of emotional and motivational function is at a much earlier stage. Important concepts and theories of emotion are briefly introduced, as are research designs and multimodal approaches to answering the central questions in the field. We provide a detailed inspection of the methodological and technical challenges in assessing the cerebral correlates of emotional activation, perception, learning, memory, and emotional regulation behavior in healthy humans. fMRI is particularly challenging in structures such as the amygdala as it is affected by susceptibility-related signal loss, image distortion, physiological and motion artifacts and colocalizcd Resting State Networks (RSNs). We review how these problems call be mitigated by using optimized echo-planar imaging (EPI) parameters, alternative MR sequences, and correction schemes. High-quality data call be acquired rapidly in these problematic regions with gradient compensated multiecho EPI or high resolution EPI with parallel imaging and optimum gradient directions, combined with distortion correction. Although neuroimaging studies of emotion encounter many difficulties regarding the limitations of measurement precision, research design, and strategies of validating neuropsychological emotion constructs, considerable improvement in data quality and sensitivity to subtle effects can be achieved. The methods outlined offer the prospect for fMRI studies of emotion to provide more sensitive, reliable, and representative models of measurement that systematically relate the dynamics of emotional regulation behavior with topographically distinct patterns of activity in the brain. This will provide additional information as an aid to assessment, categorization, and treatment of patients with emotional and personality disorders.