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Brain Imaging Analysis.
Annual Review of Statistics and Its Application ( IF 7.9 ) Pub Date : 2014-01-01 , DOI: 10.1146/annurev-statistics-022513-115611
F Dubois Bowman 1
Affiliation  

The increasing availability of brain imaging technologies has led to intense neuroscientific inquiry into the human brain. Studies often investigate brain function related to emotion, cognition, language, memory, and numerous other externally induced stimuli as well as resting-state brain function. Studies also use brain imaging in an attempt to determine the functional or structural basis for psychiatric or neurological disorders and, with respect to brain function, to further examine the responses of these disorders to treatment. Neuroimaging is a highly interdisciplinary field, and statistics plays a critical role in establishing rigorous methods to extract information and to quantify evidence for formal inferences. Neuroimaging data present numerous challenges for statistical analysis, including the vast amounts of data collected from each individual and the complex temporal and spatial dependence present. We briefly provide background on various types of neuroimaging data and analysis objectives that are commonly targeted in the field. We present a survey of existing methods targeting these objectives and identify particular areas offering opportunities for future statistical contribution.

中文翻译:

脑成像分析。

脑成像技术的日益普及导致对人脑的神经科学的深入探究。研究经常调查与情绪、认知、语言、记忆和许多其他外部诱导刺激相关的大脑功能以及静息状态的大脑功能。研究还使用脑成像试图确定精神或神经障碍的功能或结构基础,并就脑功能进一步检查这些障碍对治疗的反应。神经影像学是一个高度跨学科的领域,统计学在建立严格的方法来提取信息和量化正式推理的证据方面发挥着关键作用。神经影像数据对统计分析提出了许多挑战,包括从每个人收集的大量数据以及复杂的时间和空间依赖性。我们简要介绍了该领域常见的各种类型的神经影像数据和分析目标的背景。我们对针对这些目标的现有方法进行了调查,并确定了为未来统计贡献提供机会的特定领域。
更新日期:2019-11-01
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