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人类静息态功能磁共振成像研究中血液动力学响应函数变异性的混杂因素。

The confound of hemodynamic response function variability in human resting-state functional MRI studies.

作者信息

Rangaprakash D, Barry Robert L, Deshpande Gopikrishna

机构信息

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States.

Department of Radiology, Harvard Medical School, Boston, MA, United States.

出版信息

Front Neurosci. 2023 Jul 14;17:934138. doi: 10.3389/fnins.2023.934138. eCollection 2023.

Abstract

Functional magnetic resonance imaging (fMRI) is an indirect measure of neural activity with the hemodynamic response function (HRF) coupling it with unmeasured neural activity. The HRF, modulated by several non-neural factors, is variable across brain regions, individuals and populations. Yet, a majority of human resting-state fMRI connectivity studies continue to assume a non-variable HRF. In this article, with supportive prior evidence, we argue that HRF variability cannot be ignored as it substantially confounds within-subject connectivity estimates and between-subjects connectivity group differences. We also discuss its clinical relevance with connectivity impairments confounded by HRF aberrations in several disorders. We present limited data on HRF differences between women and men, which resulted in a 15.4% median error in functional connectivity estimates in a group-level comparison. We also discuss the implications of HRF variability for fMRI studies in the spinal cord. There is a need for more dialogue within the community on the HRF confound, and we hope that our article is a catalyst in the process.

摘要

功能磁共振成像(fMRI)是一种对神经活动的间接测量方法,它通过血液动力学响应函数(HRF)将其与无法测量的神经活动联系起来。HRF受多种非神经因素的调节,在不同脑区、个体和人群中存在差异。然而,大多数人类静息态fMRI连接性研究仍然假定HRF是不变的。在本文中,基于先前的支持性证据,我们认为HRF的变异性不容忽视,因为它会严重混淆个体内连接性估计以及个体间连接性组差异。我们还讨论了其临床相关性,以及在几种疾病中HRF异常所混淆的连接性损伤。我们展示了关于男性和女性之间HRF差异的有限数据,在组水平比较中,这些数据导致功能连接性估计出现了15.4%的中位数误差。我们还讨论了HRF变异性对脊髓fMRI研究的影响。该领域需要就HRF混淆问题进行更多的讨论,我们希望我们的文章能成为这一过程的催化剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7620/10375034/dd38bdfd1523/fnins-17-934138-g001.jpg

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