Acosta-Rodriguez Hector, Yuan Cuiping, Bobba Pratheek, Stephan Alicia, Zeevi Tal, Malhotra Ajay, Tran Anh Tuan, Kaltenhauser Simone, Payabvash Seyedmehdi
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.
J Integr Neurosci. 2024 Dec 12;23(12):217. doi: 10.31083/j.jin2312217.
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.
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.
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.
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.
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。本研究使用青少年大脑认知发展(ABCD)研究的数据,考察NIH工具箱认知电池综合得分与神经影像指标之间的关联,以阐明这些认知得分的神经生物学和神经解剖学相关性。
分析了5290名儿童(平均年龄9.9岁)的神经影像数据,评估综合得分与扩散张量成像(DTI)、结构磁共振成像(sMRI)和静息态功能连接(rs-fMRI)的相关性。结果对年龄、性别、种族/民族、头围、体重指数(BMI)以及父母收入和教育程度进行了校正。
更高的流体认知综合得分与更大的白质(WM)微观结构完整性、更低的皮质厚度、更大的皮质表面积以及与rs-fMRI的混合关联有关。相反,晶体认知综合得分显示出更复杂的关联,表明更高的得分与更低的WM微观结构完整性相关。总认知得分反映出与流体认知和晶体认知两者结合一致的模式,但具体见解有所稀释。我们的研究结果突出了NIH工具箱综合得分的神经影像相关性的复杂性。
结果表明,流体认知综合得分可能作为认知功能的一个标志物,强调了神经影像在评估儿童认知表现方面的临床相关性。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直至青少年期和成年期。