Suppr超能文献

静息态功能磁共振成像揭示的视觉区域内低频波动幅度

Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI.

作者信息

Yang Hong, Long Xiang-Yu, Yang Yihong, Yan Hao, Zhu Chao-Zhe, Zhou Xiang-Ping, Zang Yu-Feng, Gong Qi-Yong

机构信息

Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.

出版信息

Neuroimage. 2007 May 15;36(1):144-52. doi: 10.1016/j.neuroimage.2007.01.054. Epub 2007 Mar 12.

Abstract

Most studies of resting-state functional magnetic resonance imaging (fMRI) have applied the temporal correlation in the time courses to investigate the functional connectivity between brain regions. Alternatively, the power of low frequency fluctuation (LFF) may also be used as a biomarker to assess spontaneous activity. The purpose of the current study is to evaluate whether the amplitude of the LFF (ALFF) relates to cerebral physiological states. Ten healthy subjects underwent four resting-state fMRI scanning sessions, two for eyes-open (EO) and two for eyes-closed (EC) conditions, with two sets of parameters (TR=400 ms and 2 s, respectively). After data preprocessing, ALFF was obtained by calculating the square root of the power spectrum in the frequency range of 0.01-0.08 Hz. Our results showed that the ALFF in EO was significantly higher than that in EC (P<0.05, corrected) in the bilateral visual cortices. Furthermore, the ALFF in EO was significantly reduced in the right paracentral lobule (PCL) than in EC (P<0.05, corrected). Region of interest (ROI) analysis showed that the ALFF differences between EO and EC were consistent for each subject. In contrast, no significant ALFF differences were found between EO and EC (P<0.381) in the posterior cingulate cortex. All these results agree well with previous studies comparing EO and EC states. Our finding of the distinct ALFF difference between EO and EC in the visual cortex implies that the ALFF may be a novel biomarker for physiological states of the brain.

摘要

大多数静息态功能磁共振成像(fMRI)研究都应用了时间序列中的时间相关性来研究脑区之间的功能连接。另外,低频波动(LFF)的功率也可作为一种生物标志物来评估自发活动。本研究的目的是评估低频波动幅度(ALFF)是否与大脑生理状态相关。十名健康受试者接受了四次静息态fMRI扫描,其中两次为睁眼(EO)状态,两次为闭眼(EC)状态,分别采用两组参数(TR分别为400 ms和2 s)。经过数据预处理后,通过计算0.01 - 0.08 Hz频率范围内功率谱的平方根获得ALFF。我们的结果显示,双侧视觉皮层中,睁眼状态下的ALFF显著高于闭眼状态(P<0.05,校正)。此外,右侧中央旁小叶(PCL)中,睁眼状态下的ALFF比闭眼状态下显著降低(P<0.05,校正)。感兴趣区(ROI)分析表明,每个受试者在睁眼和闭眼状态下的ALFF差异是一致的。相比之下,在后扣带回皮层中,睁眼和闭眼状态之间未发现显著的ALFF差异(P<0.381)。所有这些结果与之前比较睁眼和闭眼状态的研究结果非常吻合。我们在视觉皮层中发现的睁眼和闭眼状态下ALFF的明显差异表明,ALFF可能是大脑生理状态的一种新型生物标志物。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验