Modeling the development of cognitive reserve in children: A residual index approach.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-03-01 Epub Date: 2023-09-05 DOI:10.1017/S135561772300053X
Zubin A Irani, Andrew M C Sheridan, Timothy J Silk, Vicki Anderson, Michael Weinborn, Brandon E Gavett
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Abstract

Objective: To model cognitive reserve (CR) longitudinally in a neurodiverse pediatric sample using a residual index approach, and to test the criterion and construct validity of this index.

Method: Participants were N = 115 children aged 9.5-13 years at baseline (MAge = 10.48 years, SDAge = 0.61), and n = 43 (37.4%) met criteria for ADHD. The CR index represented variance in Matrix Reasoning scores from the WASI that was unexplained by MRI-based brain variables (bilateral hippocampal volumes, total gray matter volumes, and total white matter hypointensity volumes) or demographics (age and sex).

Results: At baseline, the CR index predicted math computation ability (estimate = 0.50, SE = 0.07, p < .001), and word reading ability (estimate = 0.26, SE = 0.10, p = .012). Longitudinally, change in CR over time was not associated with change in math computation ability (estimate = -0.02, SE = 0.03, p < .513), but did predict change in word reading ability (estimate = 0.10, SE = 0.03, p < .001). Change in CR was also found to moderate the relationship between change in word reading ability and white matter hypointensity volume (estimate = 0.10, SE = 0.05, p = .045).

Conclusions: Evidence for the criterion validity of this CR index is encouraging, but somewhat mixed, while construct validity was evidenced through interaction between CR, brain, and word reading ability. Future research would benefit from optimization of the CR index through careful selection of brain variables for a pediatric sample.

儿童认知储备发展模型:残差指数法
目的采用残差指数法对神经多样性儿科样本中的认知储备(CR)进行纵向建模,并检验该指数的标准效度和建构效度:基线年龄为9.5-13岁的儿童有115人(平均年龄为10.48岁,平均年龄为0.61岁),符合多动症标准的有43人(37.4%)。CR指数代表了WASI矩阵推理得分的差异,这些差异无法用基于核磁共振成像的大脑变量(双侧海马体积、灰质总体积和白质低密度总体积)或人口统计学变量(年龄和性别)来解释:基线时,CR指数可预测数学计算能力(估计值 = 0.50,SE = 0.07,p < .001)和文字阅读能力(估计值 = 0.26,SE = 0.10,p = .012)。纵向来看,随着时间的推移,CR 的变化与数学计算能力的变化无关(估计值 = -0.02,SE = 0.03,p < .513),但可以预测单词阅读能力的变化(估计值 = 0.10,SE = 0.03,p < .001)。研究还发现,CR的变化可缓和单词阅读能力变化与白质低密度体积之间的关系(估计值=0.10,SE=0.05,P=0.045):结论:这一 CR 指数的标准效度证据令人鼓舞,但有点好坏参半,而构造效度则通过 CR、大脑和单词阅读能力之间的相互作用得到了证明。未来的研究将受益于通过为儿童样本仔细选择大脑变量来优化 CR 指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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