Omnipresence of the sensorimotor-association axis topography in the human connectome.
Omnipresence of the sensorimotor-association axis topography in the human connectome.
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DOI：
10.1016/j.neuroimage.2023.120059
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发表时间：
2023-05-15
期刊：
影响因子：
5.7
通讯作者：
Milham, Michael P.
中科院分区：
文献类型：
--
作者：
Nenning, Karl-Heinz;Xu, Ting;Franco, Alexandre R.;Swallow, Khena M.;Tambini, Arielle;Margulies, Daniel S.;Smallwood, Jonathan;Colcombe, Stanley J.;Milham, Michael P.
关键词：
低维表示越来越多地用于研究人脑内有意义的组织原理。最值得注意的是，感觉运动关联轴始终将人类连接组中最大的差异解释为其所谓的主梯度，这表明它代表了基本的组织原则。虽然最近的工作表明这些低维表示相对稳健，但它们受到仅对功能连接结构的某些方面进行建模的限制。迄今为止，大多数研究都将这些方法限制在大脑中最强的连接上，将较弱或负面的连接视为噪音，尽管有证据表明它们之间存在有意义的结构。目前的工作检查了人类连接组在各种连接强度上的连接梯度，并探讨了个体差异对结果的影响，确定了对阈值的潜在依赖性和改进预测任务的机会。有趣的是，感觉运动关联轴成为人类连接组在整个连接水平范围内的主要梯度。此外，中等强度连接的主要梯度编码个体差异，更好地遵循个体特定的解剖特征，并且也更能预测智力。总而言之，我们的结果增加了感觉运动关联轴作为大脑功能组织的基本原则的证据，因为即使在更宽松的连接阈值的连接结构中，它也是显而易见的。这些更松散耦合的连接似乎还包含有价值且潜在重要的信息，可用于提高我们对个体差异、诊断和治疗结果预测的理解。
Low-dimensional representations are increasingly used to study meaningful organizational principles within the human brain. Most notably, the sensorimotor-association axis consistently explains the most variance in the human connectome as its so-called principal gradient, suggesting that it represents a fundamental organizational principle. While recent work indicates these low dimensional representations are relatively robust, they are limited by modeling only certain aspects of the functional connectivity structure. To date, the majority of studies have restricted these approaches to the strongest connections in the brain, treating weaker or negative connections as noise despite evidence of meaningful structure among them. The present work examines connectivity gradients of the human connectome across a full range of connectivity strengths and explores the implications for outcomes of individual differences, identifying potential dependencies on thresholds and opportunities to improve prediction tasks. Interestingly, the sensorimotor-association axis emerged as the principal gradient of the human connectome across the entire range of connectivity levels. Moreover, the principal gradient of connections at intermediate strengths encoded individual differences, better followed individual-specific anatomical features, and was also more predictive of intelligence. Taken together, our results add to evidence of the sensorimotor association axis as a fundamental principle of the brain’s functional organization, since it is evident even in the connectivity structure of more lenient connectivity thresholds. These more loosely coupled connections further appear to contain valuable and potentially important information that could be used to improve our understanding of individual differences, diagnosis, and the prediction of treatment outcomes.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
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通讯作者：
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影响因子：
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DOI：
10.1176/appi.ajp.2009.08121894
发表时间：
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期刊：
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影响因子：
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作者：
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影响因子：
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DOI：
10.1073/pnas.1109521108
发表时间：
2011-12-27
影响因子：
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作者：
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通讯作者：
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