Neuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children.

IF 2.5 4区 医学 Q3 NEUROSCIENCES
Hector Acosta-Rodriguez, Cuiping Yuan, Pratheek Bobba, Alicia Stephan, Tal Zeevi, Ajay Malhotra, Anh Tuan Tran, Simone Kaltenhauser, Seyedmehdi Payabvash
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Abstract

Background: The National Institutes of Health (NIH) Toolbox Cognition Battery is increasingly being used as a standardized test to examine cognitive functioning in multicentric studies. This study examines the associations between the NIH Toolbox Cognition Battery composite scores with neuroimaging metrics using data from the Adolescent Brain Cognitive Development (ABCD) study to elucidate the neurobiological and neuroanatomical correlates of these cognitive scores.

Methods: Neuroimaging data from 5290 children (mean age 9.9 years) were analyzed, assessing the correlation of the composite scores with Diffusion Tensor Imaging (DTI), structural Magnetic Resonance Imaging (sMRI), and resting-state functional connectivity (rs-fMRI). Results were adjusted for age, sex, race/ethnicity, head size, body mass index (BMI), and parental income and education.

Results: Higher fluid cognition composite scores were linked to greater white matter (WM) microstructural integrity, lower cortical thickness, greater cortical surface area, and mixed associations with rs-fMRI. Conversely, crystallized cognition composite scores showed more complex associations, suggesting that higher scores correlated with lower WM microstructure integrity. Total cognition scores reflected patterns consistent with a combination of both fluid and crystallized cognition, but with diluted specific insights. Our findings highlight the complexity of the neuroimaging correlates of the NIH Toolbox composite scores.

Conclusions: The results suggest that fluid cognition composite scores may serve as a marker for cognitive functioning, emphasizing neuroimaging's clinical relevance in assessing cognitive performance in children. These insights can guide early interventions and personalized education strategies. Future ABCD follow-ups will further illuminate these associations into adolescence and adulthood.

nih工具箱驱动的儿童认知指标的神经影像学相关性。
背景:美国国立卫生研究院(NIH)工具箱认知电池越来越多地被用作多中心研究中检查认知功能的标准化测试。本研究利用青少年大脑认知发展(ABCD)研究的数据,探讨了NIH工具箱认知电池复合评分与神经影像学指标之间的关系,以阐明这些认知评分的神经生物学和神经解剖学相关性。方法:对5290例儿童(平均年龄9.9岁)的神经影像学资料进行分析,评估其综合评分与弥散张量成像(DTI)、结构磁共振成像(sMRI)和静息状态功能连通性(rs-fMRI)的相关性。结果根据年龄、性别、种族/民族、头大小、体重指数(BMI)、父母收入和教育程度进行了调整。结果:较高的流体认知综合评分与较高的白质(WM)微结构完整性、较低的皮质厚度、较大的皮质表面积以及rs-fMRI的混合关联有关。相反,结晶认知综合得分显示出更复杂的关联,表明得分越高,WM微观结构完整性越低。总体认知得分反映的模式与流动认知和结晶认知相一致,但与稀释的具体见解相一致。我们的发现突出了NIH工具箱复合评分的神经影像学相关性的复杂性。结论:结果表明,流体认知综合评分可以作为认知功能的标志,强调神经影像学在评估儿童认知表现方面的临床意义。这些见解可以指导早期干预和个性化教育策略。未来的ABCD随访将进一步阐明这些关联到青春期和成年期。
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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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