Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample
Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample
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DOI：
10.1093/cercor/bhaa282
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发表时间：
2021-03-01
期刊：
影响因子：
3.7
通讯作者：
Gur, Raquel E.
中科院分区：
文献类型：
--
作者：
Gur, Ruben C.;Butler, Ellyn R.;Gur, Raquel E.
顶叶-额叶整合理论（PFIT）确定了一个额叶-顶叶区域网络，其中大脑参数的个体差异与认知表现最密切相关。PFIT在成人样本中得到了支持和扩展，但在青少年或单扫描仪多模式研究中没有得到支持和扩展。我们对1601名8-22岁的青少年进行了多模式神经成像，使用相同的3特斯拉扫描仪，同时进行神经认知评估，测量体积，灰质密度（GMD），平均弥散度（MD），脑血流量（CBF），静息状态功能磁共振成像测量低频波动幅度（ALFF）和区域均匀性（ReHo），以及激活工作记忆和社会认知任务。在年龄和性别组中，更好的表现与更高的容量，更大的GMD，更低的MD，更低的CBF，更高的ALFF和ReHo，以及PFIT区域工作记忆任务的更大激活相关。然而，额外的皮质，纹状体，边缘系统和小脑区域表现出相当的效果，因此PFIT需要扩展到扩展PFIT（ExtPFIT）网络纳入节点，支持动机和影响。随着年龄的增长，从儿童到青少年再到青年，大脑参数的关联变得更强，女性的影响发生得更早。这种ExtPFIT网络在发育上进行了微调，优化了神经组织的丰富性和完整性，同时保持了低静息能量状态。
The parieto-frontal integration theory (PFIT) identified a fronto-parietal network of regions where individual differences in brain parameters most strongly relate to cognitive performance. PFIT was supported and extended in adult samples, but not in youths or within single-scanner well-powered multimodal studies. We performed multimodal neuroimaging in 1601 youths age 8-22 on the same 3-Tesla scanner with contemporaneous neurocognitive assessment, measuring volume, gray matter density (GMD), mean diffusivity (MD), cerebral blood flow (CBF), resting-state functional magnetic resonance imaging measures of the amplitude of low frequency fluctuations (ALFFs) and regional homogeneity (ReHo), and activation to a working memory and a social cognition task. Across age and sex groups, better performance was associated with higher volumes, greater GMD, lower MD, lower CBF, higher ALFF and ReHo, and greater activation for the working memory task in PFIT regions. However, additional cortical, striatal, limbic, and cerebellar regions showed comparable effects, hence PFIT needs expansion into an extended PFIT (ExtPFIT) network incorporating nodes that support motivation and affect. Associations of brain parameters became stronger with advancing age group from childhood to adolescence to young adulthood, effects occurring earlier in females. This ExtPFIT network is developmentally fine-tuned, optimizing abundance and integrity of neural tissue while maintaining a low resting energy state.