A bimodal taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients.

IF 14.7 1区 医学 Q1 NEUROSCIENCES Neuron Pub Date : 2024-10-23 Epub Date: 2024-08-22 DOI:10.1016/j.neuron.2024.07.023
William E Snyder, Petra E Vértes, Vanessa Kyriakopoulou, Konrad Wagstyl, Logan Z J Williams, Dustin Moraczewski, Adam G Thomas, Vyacheslav R Karolis, Jakob Seidlitz, Denis Rivière, Emma C Robinson, Jean-Francois Mangin, Armin Raznahan, Edward T Bullmore
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Abstract

We developed a computational pipeline (now provided as a resource) for measuring morphological similarity between cortical surface sulci to construct a sulcal phenotype network (SPN) from each magnetic resonance imaging (MRI) scan in an adult cohort (n = 34,725; 45-82 years). Networks estimated from pairwise similarities of 40 sulci on 5 morphological metrics comprised two clusters of sulci, represented also by the bimodal distribution of sulci on a linear-to-complex dimension. Linear sulci were more heritable and typically located in unimodal cortex, and complex sulci were less heritable and typically located in heteromodal cortex. Aligning these results with an independent fetal brain MRI cohort (n = 228; 21-36 gestational weeks), we found that linear sulci formed earlier, and the earliest and latest-forming sulci had the least between-adult variation. Using high-resolution maps of cortical gene expression, we found that linear sulcation is mechanistically underpinned by trans-sulcal gene expression gradients enriched for developmental processes.

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与胎儿脑沟形成时间和跨脑沟基因表达梯度有关的成人脑沟形态双模分类法。
我们开发了一种计算管道(现已作为资源提供),用于测量皮层表面沟之间的形态相似性,从而从成人队列(n = 34,725; 45-82 岁)的每次磁共振成像(MRI)扫描中构建沟表型网络(SPN)。根据 40 个沟槽在 5 个形态指标上的成对相似性估算出的网络包括两个沟槽群,沟槽在线性到复杂维度上的双峰分布也代表了这两个群。线性沟的遗传性较高,通常位于单模态皮层,而复合沟的遗传性较低,通常位于异模态皮层。将这些结果与独立的胎儿脑磁共振成像队列(n = 228;21-36 孕周)进行比对,我们发现线性沟形成较早,最早和最晚形成的沟在成人之间的变化最小。通过使用高分辨率的皮层基因表达图谱,我们发现线性沟在机理上是由富含发育过程的跨沟基因表达梯度支撑的。
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来源期刊
Neuron
Neuron 医学-神经科学
CiteScore
24.50
自引率
3.10%
发文量
382
审稿时长
1 months
期刊介绍: Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.
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