Foundational issues in human brain mapping
Foundational issues in human brain mapping
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人脑绘图的基本问题
DOI：
10.7551/mitpress/9780262014021.001.0001
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
M. Bunzl
中科院分区：
文献类型：
--
作者：
S. Hanson;M. Bunzl
神经影像学领域已经到了一个分水岭。在过去的十年中，脑成像研究一直是认知神经科学和认知科学许多进步的源泉，但最近的批评和新兴趋势正在提出方法论，测量和理论的基础问题。事实上，对大脑图谱解释的关注在社会神经科学中引起了严重的争议，更重要的是，它指出了整个大脑图谱事业的核心问题。在这卷书中，主要的学者--神经成像学家和心灵哲学家--重新审视这些中心问题，并探讨认知科学、认知神经科学、计算机科学和信号处理领域出现的当前争议。贡献者解决了神经成像数据和解释的统计和动态分析和建模，讨论了本地化，模块化和神经成像师关于这两种现象如何相关的默认假设;关于功能磁共振成像数据和社会属性的相关性的争议（最近被定性为好或坏的“伏都教相关性”）;以及神经成像中的标准推理设计方法。最后，贡献者采取了更哲学的观点，考虑到脑成像测量的性质，并提供了一个新的神经成像数据结构（有效和功能连接-“图”）的框架。参与者：William Bechtel，Bharat Biswal，Matthew Brett，Martin Bunzl，Max Colhearts，Karl J. Friston，Joy J. Geng，Clark Gaviour，Kalanit Grill-Spector，Stephen Jose Hanson，特雷弗哈雷，吉尔伯特哈曼，James V. Haxby，Rik N.放大图片创作者：Henson，Nancy Kanwisher，Colin Klein，Richard Loosemore，Jesus Meriaux，Chris Mole，Jeanette A.作者：Russell A.放大图片作者：Richard C.放大图片作者：Alexis Roche，Adina L. Roskies，Pia Rotshtein，Rebecca Saxe，Philipp Sterzer，Bertrand Thirion，Edward Vul
The field of neuroimaging has reached a watershed. Brain imaging research has been the source of many advances in cognitive neuroscience and cognitive science over the last decade, but recent critiques and emerging trends are raising foundational issues of methodology, measurement, and theory. Indeed, concerns over interpretation of brain maps have created serious controversies in social neuroscience, and, more important, point to a larger set of issues that lie at the heart of the entire brain mapping enterprise. In this volume, leading scholars -- neuroimagers and philosophers of mind -- reexamine these central issues and explore current controversies that have arisen in cognitive science, cognitive neuroscience, computer science, and signal processing. The contributors address both statistical and dynamical analysis and modeling of neuroimaging data and interpretation, discussing localization, modularity, and neuroimagers' tacit assumptions about how these two phenomena are related; controversies over correlation of fMRI data and social attributions (recently characterized for good or ill as "voodoo correlations"); and the standard inferential design approach in neuroimaging. Finally, the contributors take a more philosophical perspective, considering the nature of measurement in brain imaging, and offer a framework for novel neuroimaging data structures (effective and functional connectivity -- "graphs"). Contributors: William Bechtel, Bharat Biswal, Matthew Brett, Martin Bunzl, Max Coltheart, Karl J. Friston, Joy J. Geng, Clark Glymour, Kalanit Grill-Spector, Stephen Jose Hanson, Trevor Harley, Gilbert Harman, James V. Haxby, Rik N. Henson, Nancy Kanwisher, Colin Klein, Richard Loosemore, Sebastien Meriaux, Chris Mole, Jeanette A. Mumford, Russell A. Poldrack, Jean-Baptiste Poline, Richard C. Richardson, Alexis Roche, Adina L. Roskies, Pia Rotshtein, Rebecca Saxe, Philipp Sterzer, Bertrand Thirion, Edward Vul