Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data.
Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data.
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DOI：
10.3389/fnins.2021.746424
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发表时间：
2021
影响因子：
4.3
通讯作者：
Stice E
中科院分区：
文献类型：
--
作者：
Nelson TD;Brock RL;Yokum S;Tomaso CC;Savage CR;Stice E
本文利用大型多研究功能性磁共振成像（fMRI）数据集（N = 363）和生成的缺失范例来演示在各种条件下处理缺失fMRI数据的不同方法。在产生缺失数据量的不同条件下（即，20%、35%和50%）。FIML一般比列表删除在复制结果从完整的数据集，但差异很小的辅助变量的情况下，与功能磁共振成像任务数据密切相关。然而，当包含将r = 0.5与fMRI任务数据相关的辅助变量时，FIML模型的性能得到改善，这表明当有强辅助变量可用时，基于FIML的方法对缺失的fMRI数据具有潜在价值。除了主要的方法学见解外，目前的研究还对肥胖的神经脆弱性因素的文献做出了重要贡献。具体来说，来自全数据模型的结果表明，在响应奶昔味道时，涉及奖励处理的区域（尾状核和壳核）的更大激活显著预测了第二年的体重增加。方法和实质性的研究结果的影响进行了讨论。
The current paper leveraged a large multi-study functional magnetic resonance imaging (fMRI) dataset (N = 363) and a generated missingness paradigm to demonstrate different approaches for handling missing fMRI data under a variety of conditions. The performance of full information maximum likelihood (FIML) estimation, both with and without auxiliary variables, and listwise deletion were compared under different conditions of generated missing data volumes (i.e., 20, 35, and 50%). FIML generally performed better than listwise deletion in replicating results from the full dataset, but differences were small in the absence of auxiliary variables that correlated strongly with fMRI task data. However, when an auxiliary variable created to correlate r = 0.5 with fMRI task data was included, the performance of the FIML model improved, suggesting the potential value of FIML-based approaches for missing fMRI data when a strong auxiliary variable is available. In addition to primary methodological insights, the current study also makes an important contribution to the literature on neural vulnerability factors for obesity. Specifically, results from the full data model show that greater activation in regions implicated in reward processing (caudate and putamen) in response to tastes of milkshake significantly predicted weight gain over the following year. Implications of both methodological and substantive findings are discussed.
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影响因子：
2.9
作者：
Green E;Jacobson A;Haase L;Murphy C
通讯作者：
Murphy C
影响因子：
4.2
作者：
Morys, Filip;Garcia-Garcia, Isabel;Dagher, Alain
通讯作者：
Dagher, Alain
影响因子：
5.3
作者：
Felsted, Jennifer A.;Ren, Xueying;Small, Dana M.
通讯作者：
Small, Dana M.
DOI：
10.1073/pnas.1909199116
发表时间：
2019-10-08
影响因子：
11.1
作者：
Pagliaccio, David;Middleton, Rachel;Marsh, Rachel
通讯作者：
Marsh, Rachel
影响因子：
6.4
作者：
Little, Todd D.;Rhemtulla, Mijke
通讯作者：
Rhemtulla, Mijke