The parcellation of cingulate cortex in neonatal period based on resting-state functional MRI

Author:

Liu Yanyan1,Yu Qiaowen123,Cheng Luqi4,Chen Jinge1,Gao Jie1,Liu Yujia1,Lin Xiangtao123,Wang Ximing123,Hou Zhongyu123

Affiliation:

1. Department of Medical Imaging , Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014 , China

2. Department of Medical Imaging , Shandong Provincial Hospital, Jinan, Shandong 250014 , China

3. Department of Medical Imaging , Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250014 , China

4. School of Life and Environmental Sciences , Guilin University of Electronic Technology, Guilin 541004 , China

Abstract

Abstract The human cingulate cortex (CC) is a complex region that is characterized by heterogeneous cytoarchitecture, connectivity, and function, and it is associated with various cognitive functions. The adult CC has been divided into various subregions, and this subdivision is highly consistent with its functional differentiation. However, only a few studies have focused on the function of neonatal CC. The aim of this study was to describe the cingulate segregation and the functional connectivity of each subdivision in full-term neonates (n = 60) based on resting-state functional magnetic resonance imaging. The neonatal CC was divided into three subregions, and each subregion showed specific connectivity patterns. The anterior cingulate cortex was mainly correlated with brain regions related to the salience (affected) network and default mode network (DMN), the midcingulate cortex was related to motor areas, and the posterior cingulate cortex was coupled with DMN. Moreover, we found that the cingulate subregions showed distinct functional profiles with major brain networks, which were defined using independent component analysis, and exhibited functional lateralization. This study provided new insights into the understanding of the functional specialization of neonatal CC, and these findings may have significant clinical implications, especially in predicting neurological disorder.

Funder

Academic Promotion Programme of Shandong First Medical University

Natural Science Foundation of Shandong Province

Medicine Health and Science Technology Development Program of Shandong Province

Key Research Development Program of Shandong Province

Doctoral Fund of Shandong Province

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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