دورية أكاديمية

Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data

التفاصيل البيبلوغرافية
العنوان: Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data
المؤلفون: Timothy D. Nelson, Rebecca L. Brock, Sonja Yokum, Cara C. Tomaso, Cary R. Savage, Eric Stice
المصدر: Frontiers in Neuroscience, Vol 15 (2021)
بيانات النشر: Frontiers Media S.A., 2021.
سنة النشر: 2021
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: functional magnetic resonance imaging, missing data, full information maximum likelihood estimation, neural vulnerability factors, obesity, auxiliary variables, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1662-453X
Relation: https://www.frontiersin.org/articles/10.3389/fnins.2021.746424/full; https://doaj.org/toc/1662-453X
DOI: 10.3389/fnins.2021.746424
URL الوصول: https://doaj.org/article/f6545b4f9b3544bbab868d74cd4f02d8
رقم الأكسشن: edsdoj.f6545b4f9b3544bbab868d74cd4f02d8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1662453X
DOI:10.3389/fnins.2021.746424