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用于建立选择性脑-行为关系的关联和分离方法。

Methods of association and dissociation for establishing selective brain-behavior relations.

作者信息

Fama Rosemary, Sullivan Edith V

机构信息

Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Neuroscience Program, SRI International, Menlo Park, CA, USA.

Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.

出版信息

Handb Clin Neurol. 2014;125:175-81. doi: 10.1016/B978-0-444-62619-6.00011-2.

Abstract

Methods for identifying and understanding brain structure-function relations have evolved over the past century, from astute observations of selective impairments associated with focal brain damage to dissociations measured by combining quantitative neuropsychologic assessment and brain imaging. Enhanced spatial and temporal resolution in brain imaging modalities has led to refined visualization and quantification of the brain's substructures, microstructural integrity, and functional connectivity of neural networks. The double dissociation model has been a gold standard used to demonstrate that a particular cognitive, emotional, sensory, or motor process is selectively related to a particular brain region or neural network and not to others. This model has provided a fruitful means for testing hypotheses of functional localization and enabled examination and establishment of component processes contributing to complex cognitive and motor functions, parsing multifactorial behaviors and identifying brain regions, and networks subserving these complex abilities. In this chapter we discuss the evolution of the dissociation model and highlight how the modifications of this model are used presently to establish selective brain-behavior relationships in disorders such as chronic alcoholism with a neuropathologic signature but no localizable, space-occupying lesion.

摘要

在过去的一个世纪里,识别和理解脑结构与功能关系的方法不断发展,从对与局灶性脑损伤相关的选择性损伤的敏锐观察,到通过结合定量神经心理学评估和脑成像测量的分离现象。脑成像模式中空间和时间分辨率的提高,使得对脑亚结构、微结构完整性以及神经网络功能连接的可视化和量化更加精细。双重分离模型一直是用于证明特定认知、情感、感觉或运动过程与特定脑区或神经网络有选择性关联,而与其他区域或网络无关的黄金标准。该模型为检验功能定位假说提供了富有成效的方法,并能够检查和确立对复杂认知和运动功能有贡献的组成过程,剖析多因素行为并识别脑区以及支持这些复杂能力的网络。在本章中,我们将讨论分离模型的演变,并强调该模型的改进目前如何用于在诸如慢性酒精中毒等具有神经病理学特征但无局限性占位性病变的疾病中建立选择性脑-行为关系。

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