Laureate Institute for Brain Research, 6655 S. Yale Avenue, Tulsa, OK, 74136, USA.
Department of Psychology, University of Tulsa, 800 S. Tucker Dr., Tulsa, OK, 74104, USA.
Brain Imaging Behav. 2022 Aug;16(4):1919-1925. doi: 10.1007/s11682-022-00665-2. Epub 2022 May 12.
This study examined how resting-state functional magnetic resonance imaging (rs-fMRI) data quality and availability relate to clinical and sociodemographic variables within the Adolescent Brain Cognitive Development Study. A sample of participants with an adequate sample of quality baseline rs-fMRI data containing low average motion (framewise displacement ≤ 0.15; low-noise; n = 4,356) was compared to a sample of participants without an adequate sample of quality data and/or containing high average motion (higher-noise; n = 7,437) using Chi-squared analyses and t-tests. A linear mixed model examined relationships between clinical and sociodemographic characteristics and average head motion in the sample with low-noise data. Relative to the sample with higher-noise data, the low-noise sample included more females, youth identified by parents as non-Hispanic white, and youth with married parents, higher parent education, and greater household incomes (ORs = 1.32-1.42). Youth in the low-noise sample were also older and had higher neurocognitive skills, lower BMIs, and fewer externalizing and neurodevelopmental problems (ds = 0.12-0.30). Within the low-noise sample, several clinical and demographic characteristics related to motion. Thus, participants with low-noise rs-fMRI data may be less representative of the general population and motion may remain a confound in this sample. Future rs-fMRI studies of youth should consider these limitations in the design and analysis stages in order to optimize the representativeness and clinical relevance of analyses and results.
本研究考察了静息态功能磁共振成像(rs-fMRI)数据质量和可用性与青少年大脑认知发展研究中的临床和社会人口统计学变量之间的关系。通过卡方分析和 t 检验,将具有足够数量高质量基线 rs-fMRI 数据(平均运动幅度低[框架位移≤0.15;低噪声],n=4356)的参与者样本与数据质量不足和/或平均运动幅度较高(高噪声,n=7437)的参与者样本进行了比较。线性混合模型检查了低噪声数据样本中临床和社会人口统计学特征与平均头部运动之间的关系。与高噪声数据样本相比,低噪声样本中女性更多,父母认定为非西班牙裔白种人,父母为已婚,受教育程度更高,家庭收入更高的青少年比例更高(OR=1.32-1.42)。低噪声样本中的青少年年龄更大,神经认知技能更高,BMI 更低,外化和神经发育问题更少(ds=0.12-0.30)。在低噪声样本中,一些临床和人口统计学特征与运动有关。因此,具有低噪声 rs-fMRI 数据的参与者可能无法代表一般人群,运动可能仍然是该样本的混杂因素。未来对青少年的 rs-fMRI 研究应在设计和分析阶段考虑这些局限性,以优化分析和结果的代表性和临床相关性。