Myers Michael J, Labonte Alyssa K, Gordon Evan M, Laumann Timothy O, Tu Jiaxin Cindy, Wheelock Muriah D, Nielsen Ashley N, Schwarzlose Rebecca, Camacho M Catalina, Warner Barbara B, Raghuraman Nandini, Luby Joan L, Barch Deanna M, Fair Damien A, Petersen Steven E, Rogers Cynthia E, Smyser Christopher D, Sylvester Chad M
Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.
Neurosciences Graduate Program, Washington University in St. Louis, St. Louis, MO USA.
bioRxiv. 2023 Nov 11:2023.11.10.566629. doi: 10.1101/2023.11.10.566629.
The cerebral cortex is organized into distinct but interconnected cortical areas, which can be defined by abrupt differences in patterns of resting state functional connectivity (FC) across the cortical surface. Such parcellations of the cortex have been derived in adults and older infants, but there is no widely used surface parcellation available for the neonatal brain. Here, we first demonstrate that adult- and older infant-derived parcels are a poor fit with neonatal data, emphasizing the need for neonatal-specific parcels. We next derive a set of 283 cortical surface parcels from a sample of n=261 neonates. These parcels have highly homogenous FC patterns and are validated using three external neonatal datasets. The Infomap algorithm is used to assign functional network identities to each parcel, and derived networks are consistent with prior work in neonates. The proposed parcellation may represent neonatal cortical areas and provides a powerful tool for neonatal neuroimaging studies.
大脑皮层被组织成不同但相互连接的皮层区域,这些区域可通过整个皮层表面静息态功能连接(FC)模式的突然差异来定义。这种皮层的划分已在成人和较大婴儿中得出,但尚无广泛应用于新生儿大脑的表面划分方法。在此,我们首先证明,源自成人和较大婴儿的脑区划分与新生儿数据不太匹配,强调了需要针对新生儿的特定脑区划分。接下来,我们从n = 261名新生儿的样本中得出了一组283个皮层表面脑区。这些脑区具有高度同质的FC模式,并使用三个外部新生儿数据集进行了验证。Infomap算法用于为每个脑区分配功能网络标识,得出的网络与之前关于新生儿的研究工作一致。所提出的脑区划分可能代表新生儿皮层区域,并为新生儿神经影像学研究提供了一个强大的工具。