Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults.
Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults.
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DOI：
10.1002/hbm.25420
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发表时间：
2021-07
影响因子：
4.8
通讯作者：
Kuceyeski A
中科院分区：
文献类型：
--
作者：
Dhamala E;Jamison KW;Jaywant A;Dennis S;Kuceyeski A
神经元之间的白质通路促进了大脑中神经元的共同激活模式。洞察这些结构和功能联系如何构成复杂的认知功能，为描绘认知功能中与疾病相关的变化提供了重要的基础。在这里，我们结合神经成像、连接学和机器学习的方法来探索大脑的功能和结构连接如何与认知相关。具体地说，我们评估了功能和结构连通性在多大程度上预测了来自人类连接组项目的415名无关的健康年轻成年人(202名女性)的个体结晶和流体认知能力。我们报告了三个主要发现。首先，我们证明功能连通性比结构连通性更能预测认知分数，而且，整合这两种模式并不会增加可解释的方差。其次，我们表明，从连接组测量的认知预测的质量受到灰质分割的选择的影响，并且可能影响这种分割的派生方式。第三，我们发现，不同的功能和结构联系预示着结晶和流动的能力。综上所述，我们的结果表明，功能和结构的连通性与结晶的和流动的认知有着独特的关系，而且，研究这两种方式提供了对认知的神经关联的更全面的洞察。在本研究中，我们考察了多通道连接与认知之间的关系。首先，我们证明功能连通性比结构连通性更能预测认知分数，而且，整合这两种模式并不会增加可解释的方差。其次，我们表明，从连接组测量的认知预测的质量受到灰质分割的选择的影响，并且可能影响这种分割的派生方式。第三，我们发现，不同的功能和结构联系预示着结晶和流动的能力。
White matter pathways between neurons facilitate neuronal coactivation patterns in the brain. Insight into how these structural and functional connections underlie complex cognitive functions provides an important foundation with which to delineate disease‐related changes in cognitive functioning. Here, we integrate neuroimaging, connectomics, and machine learning approaches to explore how functional and structural brain connectivity relate to cognition. Specifically, we evaluate the extent to which functional and structural connectivity predict individual crystallised and fluid cognitive abilities in 415 unrelated healthy young adults (202 females) from the Human Connectome Project. We report three main findings. First, we demonstrate functional connectivity is more predictive of cognitive scores than structural connectivity, and, furthermore, integrating the two modalities does not increase explained variance. Second, we show the quality of cognitive prediction from connectome measures is influenced by the choice of grey matter parcellation, and, possibly, how that parcellation is derived. Third, we find that distinct functional and structural connections predict crystallised and fluid abilities. Taken together, our results suggest that functional and structural connectivity have unique relationships with crystallised and fluid cognition and, furthermore, studying both modalities provides a more comprehensive insight into the neural correlates of cognition. In this study, we investigate the relationship between multimodal connectivity and cognition. First, we demonstrate functional connectivity is more predictive of cognitive scores than structural connectivity, and, furthermore, integrating the two modalities does not increase explained variance. Second, we show the quality of cognitive prediction from connectome measures is influenced by the choice of grey matter parcellation, and, possibly, how that parcellation is derived. Third, we find that distinct functional and structural connections predict crystallised and fluid abilities.
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影响因子：
5.7
作者：
Fischl, B;Sereno, MI;Dale, AM
通讯作者：
Dale, AM
DOI：
10.1177/1073858411403316
发表时间：
2012-06
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Andrews-Hanna JR
通讯作者：
Andrews-Hanna JR
DOI：
10.1162/netn_a_00049
发表时间：
2018
期刊：
Network neuroscience (Cambridge, Mass.)
影响因子：
--
作者：
Amico E;Goñi J
通讯作者：
Goñi J
影响因子：
2.7
作者：
Carlozzi NE;Tulsky DS;Wolf TJ;Goodnight S;Heaton RK;Casaletto KB;Wong AWK;Baum CM;Gershon RC;Heinemann AW
通讯作者：
Heinemann AW
影响因子：
25
作者：
Dworkin, Jordan D.;Linn, Kristin A.;Bassett, Danielle S.
通讯作者：
Bassett, Danielle S.