Structural Connectivity Gradients of the Temporal Lobe Serve as Multiscale Axes of Brain Organization and Cortical Evolution.
Structural Connectivity Gradients of the Temporal Lobe Serve as Multiscale Axes of Brain Organization and Cortical Evolution.
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DOI：
10.1093/cercor/bhab149
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发表时间：
2021-10-01
期刊：
影响因子：
--
通讯作者：
Bernhardt BC
中科院分区：
文献类型：
--
作者：
Vos de Wael R;Royer J;Tavakol S;Wang Y;Paquola C;Benkarim O;Eichert N;Larivière S;Xu T;Misic B;Smallwood J;Valk SL;Bernhardt BC
颞叶与高级认知过程有关，是灵长类进化过程中经历大量重组的区域之一。它的功能部分地通过其结构连接的复杂布局来实例化。在这里，我们确定了人类颞叶皮层的结构连接变化的低维表示，并探讨其微观结构的基础和关联的宏观功能。我们确定了三个本征模描述梯度结构连接。这些梯度反映了定量磁共振成像和死后组织学得出的皮质微结构的区域间变化。认知模型准确预测了颞叶功能的宏观测量。此外，所确定的梯度与猕猴和人类之间的功能重构和区域扩张的既定措施密切相关，突出了它们在整个灵长类进化过程中塑造颞叶功能的潜在作用。研究结果在几个数据集中得到了重复。我们的研究结果为人类颞叶皮层的三个结构连接轴提供了强有力的证据，这些结构连接轴具有一致的微结构基础和对大规模脑网络功能的贡献。
The temporal lobe is implicated in higher cognitive processes and is one of the regions that underwent substantial reorganization during primate evolution. Its functions are instantiated, in part, by the complex layout of its structural connections. Here, we identified low-dimensional representations of structural connectivity variations in human temporal cortex and explored their microstructural underpinnings and associations to macroscale function. We identified three eigenmodes which described gradients in structural connectivity. These gradients reflected inter-regional variations in cortical microstructure derived from quantitative magnetic resonance imaging and postmortem histology. Gradient-informed models accurately predicted macroscale measures of temporal lobe function. Furthermore, the identified gradients aligned closely with established measures of functional reconfiguration and areal expansion between macaques and humans, highlighting their potential role in shaping temporal lobe function throughout primate evolution. Findings were replicated in several datasets. Our results provide robust evidence for three axes of structural connectivity in human temporal cortex with consistent microstructural underpinnings and contributions to large-scale brain network function.
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影响因子：
5.7
作者：
Alexander-Bloch AF;Shou H;Liu S;Satterthwaite TD;Glahn DC;Shinohara RT;Vandekar SN;Raznahan A
通讯作者：
Raznahan A
影响因子：
4.6
作者：
Beul SF;Barbas H;Hilgetag CC
通讯作者：
Hilgetag CC
影响因子：
5.7
作者：
Ball, G.;Seidlitz, J.;Seal, M. L.
通讯作者：
Seal, M. L.
影响因子：
4.6
作者：
Deco, Gustavo;Kringelbach, Morten L.;Ritter, Petra
通讯作者：
Ritter, Petra
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y