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Brain Imaging Analysis

机译：脑影像分析

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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 responses to numerous other external stimuli, as well as resting-state brain function. Brain imaging studies also attempt to determine the functional or structural basis for psychiatric or neurological disorders and to 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 dependencies present in the data. I briefly provide background on various types of neuroimaging data and analysis objectives that are commonly targeted in the field. I also present a survey of existing methods aimed at these objectives and identify particular areas offering opportunities for future statistical contribution.
机译：大脑成像技术的可用性不断提高，导致对人类大脑的神经科学研究日益深入。研究经常调查与情感，认知，语言，记忆和对许多其他外部刺激的反应有关的大脑功能，以及静止状态的大脑功能。脑成像研究还试图确定精神疾病或神经疾病的功能或结构基础，并检查这些疾病对治疗的反应。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以提取信息和量化形式推论的证据方面起着至关重要的作用。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数据中存在的复杂时空依赖性。我简要介绍了本领域通常针对的各种类型的神经影像数据和分析目标。我还将介绍针对这些目标的现有方法的调查，并确定为将来的统计贡献提供机会的特定领域。

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