Suppr超能文献

高体适能大学生运动皮层静息态功能连接特征:来自功能近红外光谱(fNIRS)的实验证据。

Characteristics of resting state functional connectivity of motor cortex of high fitness level college students: Experimental evidence from functional near infrared spectroscopy (fNIRS).

机构信息

Department of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, China.

School of Physical Education, Baise University, Baise, Guangxi, China.

出版信息

Brain Behav. 2023 Jul;13(7):e3099. doi: 10.1002/brb3.3099. Epub 2023 Jun 12.

Abstract

OBJECTIVE

This study inspects difference of resting state functional connectivity (RSFC) of motor cortex between athletes and ordinary college students and the test-retest reliability of RSFC.

METHODS

Twenty high fitness level college students (high fitness group) and 20 ordinary college students (control group) were recruited. The motor cortical blood oxygen signals in resting states were monitored by functional near infrared spectroscopy (fNIRS). RSFCs of brain signals were preprocessed and calculated by FC-NIRS software. RSFC results of test-retest reliability were evaluated by intra-class correlation coefficient (ICC).

RESULTS

Total RSFC (HbO signal) was significantly different between high fitness group (0.62 ± 0.04) and low fitness group (0.81 ± 0.04) (p < .05). Significant differences were found between the groups (HbO signal) in 50 edges among the 190 edges of motor cortex (14 edges after FDR corrected). At three hemoglobin concentrations, mean of group-level ICC (C, 1) for total RSFC in two groups was 0.40 ± 0.10, whereas the mean of group-level ICC (C, k) was 0.57 ± 0.11, depicting "fair" reliability. The mean of group-level ICC (C, 1) of 190 "edges" was 0.88 ± 0.06, whereas mean of ICC (C, k) was 0.94 ± 0.03, exhibiting "excellent" reliability.

CONCLUSION

Fitness level is the factor causing specific changes in RSFC strength of motor cortex that can be utilized as biomarker for evaluating the fitness level.

摘要

目的

本研究考察了运动员与普通大学生静息状态运动皮层功能连接(RSFC)的差异,以及 RSFC 的测试-重测信度。

方法

招募了 20 名体能水平较高的大学生(高体能组)和 20 名普通大学生(对照组)。采用功能近红外光谱(fNIRS)监测静息状态下大脑运动皮质的血氧信号。采用 FC-NIRS 软件对脑信号的 RSFC 进行预处理和计算。采用组内相关系数(ICC)评估测试-重测可靠性的 RSFC 结果。

结果

高体能组(0.62±0.04)和低体能组(0.81±0.04)之间的总 RSFC(HbO 信号)差异显著(p<0.05)。在 190 个运动皮层边缘中,有 50 个边缘的两组之间存在差异(经 FDR 校正后有 14 个边缘)(HbO 信号)。在三个血红蛋白浓度下,两组的总 RSFC 组内 ICC(C,1)平均值为 0.40±0.10,而组内 ICC(C,k)平均值为 0.57±0.11,表明具有“中等”可靠性。190 个“边缘”的组内 ICC(C,1)平均值为 0.88±0.06,而 ICC(C,k)平均值为 0.94±0.03,表明具有“优秀”可靠性。

结论

体能水平是导致运动皮层 RSFC 强度发生特定变化的因素,可作为评估体能水平的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/519c/10338804/b88e417c7c94/BRB3-13-e3099-g004.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验