使用来自NIMH数据档案的功能和静息状态fMRI数据研究幼儿自闭症感觉运动特征的方案。

IF 1.3 Q4 BIOCHEMICAL RESEARCH METHODS

STAR Protocols Pub Date : 2025-05-23 DOI:10.1016/j.xpro.2025.103827

Kristina Denisova, Daniel M Wolpert

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引用次数: 0

摘要

头部运动在婴儿神经成像中会引起伪影，这通常会使获得的数据无法使用。在这里，我们提出了一种方案，利用fMRI和静息状态(rs)-fMRI NIMH数据档案（NDA）数据的头部运动来获得幼儿感觉运动功能的定量测量，并将其与未来的认知和自闭症结果联系起来。我们描述了下载、组织和预处理fMRI数据的步骤，以产生扫描中头部运动的数据。然后，我们详细介绍了准备表型数据与感觉运动数据联系的程序。有关使用和执行本协议的完整细节，请参阅Denisova和wolpert。

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Protocol to investigate sensorimotor features in young children with autism using functional and resting-state fMRI data from the NIMH Data Archive.

Head movements cause artifacts in infant neuroimaging that can often render acquired data unusable. Here, we present a protocol that harnesses head motion from fMRI and resting-state (rs)-fMRI NIMH Data Archive (NDA) data to obtain quantitative measures of sensorimotor function in young children and associate them with future cognitive and autism outcomes. We describe steps for downloading, organizing, and pre-processing fMRI data to yield data on in-scan head motion. We then detail procedures for preparing phenotypic data to link with sensorimotor data. For complete details on the use and execution of this protocol, please refer to Denisova and Wolpert.¹.

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