Similarity and characterization of structural and functional neural connections within species under isoflurane anesthesia in the common marmoset

IF 4.7 2区 医学 Q1 NEUROIMAGING NeuroImage Pub Date : 2024-09-14 DOI:10.1016/j.neuroimage.2024.120854
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Abstract

The common marmoset is an essential model for understanding social cognition and neurodegenerative diseases. This study explored the structural and functional brain connectivity in a marmoset under isoflurane anesthesia, aiming to statistically overcome the effects of high inter-individual variability and noise-related confounds such as physiological noise, ensuring robust and reliable data. Similarities and differences in individual subject data, including assessments of functional and structural brain connectivities derived from resting-state functional MRI and diffusion tensor imaging were meticulously captured. The findings highlighted the high consistency of structural neural connections within the species, indicating a stable neural architecture, while functional connectivity under anesthesia displayed considerable variability. Through independent component and dual regression analyses, several distinct brain connectivities were identified, elucidating their characteristics under anesthesia. Insights into the structural and functional features of the marmoset brain from this study affirm its value as a neuroscience research model, promising advancements in the field through fundamental and translational studies.

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异氟醚麻醉下普通狨猴种内神经结构和功能连接的相似性和特征描述
普通狨猴是了解社会认知和神经退行性疾病的重要模型。本研究探讨了异氟烷麻醉下狨猴大脑结构和功能连接性,旨在从统计学角度克服个体间高变异性和与噪声相关的混杂因素(如生理噪声)的影响,确保数据的稳健性和可靠性。研究人员细致地捕捉了受试者个体数据的异同,包括静息态功能磁共振成像和弥散张量成像对大脑功能和结构连通性的评估。研究结果凸显了物种内神经结构连接的高度一致性,表明了稳定的神经结构,而麻醉状态下的功能连接则显示出相当大的变异性。通过独立成分分析和双重回归分析,确定了几种不同的大脑连接性,阐明了它们在麻醉状态下的特征。这项研究对狨猴大脑结构和功能特征的洞察肯定了其作为神经科学研究模型的价值,有望通过基础研究和转化研究推动该领域的发展。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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