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Alzheimer disease neuropathology: understanding autonomic dysfunction.阿尔茨海默病神经病理学:理解自主神经功能障碍
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The influence of physiological noise correction on test-retest reliability of resting-state functional connectivity.生理噪声校正对静息态功能连接重测信度的影响。
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阿尔茨海默病中功能磁共振成像默认模式网络特征的生理噪声影响。

Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer's disease.

机构信息

Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.

Department of Medical Imaging, Taipei Medical University - Shuang-Ho Hospital, New Taipei, Taiwan.

出版信息

J Cereb Blood Flow Metab. 2021 Jan;41(1):166-181. doi: 10.1177/0271678X19897442. Epub 2020 Feb 18.

DOI:10.1177/0271678X19897442
PMID:32070180
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7747160/
Abstract

The functional connectivity of the default-mode network (DMN) monitored by functional magnetic resonance imaging (fMRI) in Alzheimer's disease (AD) patients has been found weaker than that in healthy participants. Since breathing and heart beating can cause fluctuations in the fMRI signal, these physiological activities may affect the fMRI data differently between AD patients and healthy participants. We collected resting-state fMRI data from AD patients and age-matched healthy participants. With concurrent cardiac and respiratory recordings, we estimated both physiological responses phase-locked and non-phase-locked to heart beating and breathing. We found that the cardiac and respiratory physiological responses in AD patients were 3.00 ± 0.51 s and 3.96 ± 0.52 s later (both <0.0001) than those in healthy participants, respectively. After correcting the physiological noise in the resting-state fMRI data by population-specific physiological response functions, the DMN estimated by seed-correlation was more localized to the seed region. The DMN difference between AD patients and healthy controls became insignificant after suppressing physiological noise. Our results indicate the importance of controlling physiological noise in the resting-state fMRI analysis to obtain clinically related characterizations in AD.

摘要

使用功能磁共振成像(fMRI)监测阿尔茨海默病(AD)患者的默认模式网络(DMN)的功能连接,发现其强度弱于健康参与者。由于呼吸和心跳会引起 fMRI 信号波动,这些生理活动可能会对 AD 患者和健康参与者的 fMRI 数据产生不同的影响。我们从 AD 患者和年龄匹配的健康参与者中收集了静息状态 fMRI 数据。通过同时记录心脏和呼吸,我们估计了与心跳和呼吸相位锁定和非相位锁定的生理反应。我们发现,AD 患者的心脏和呼吸生理反应分别比健康参与者晚 3.00±0.51 秒和 3.96±0.52 秒(均<0.0001)。通过使用群体特异性生理反应函数校正静息状态 fMRI 数据中的生理噪声后,通过种子相关估计的 DMN 更局限于种子区域。抑制生理噪声后,AD 患者和健康对照组之间的 DMN 差异变得不显著。我们的结果表明,在静息状态 fMRI 分析中控制生理噪声的重要性,以获得 AD 相关的临床特征。