The confound of hemodynamic response function variability in human resting-state functional MRI studies.
The confound of hemodynamic response function variability in human resting-state functional MRI studies.
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DOI：
10.3389/fnins.2023.934138
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发表时间：
2023
影响因子：
4.3
通讯作者：
Deshpande, Gopikrishna
中科院分区：
文献类型：
--
作者：
Rangaprakash, D.;Barry, Robert L.;Deshpande, Gopikrishna
功能磁共振成像 (fMRI) 是一种神经活动的间接测量方法，将血流动力学响应函数 (HRF) 与未测量的神经活动相结合。 HRF 受到多种非神经因素的调节，在不同的大脑区域、个体和群体之间存在差异。然而，大多数人类静息态 fMRI 连接性研究仍然假设 HRF 不变。在本文中，借助先前的证据，我们认为 HRF 变异性不能被忽视，因为它极大地混淆了受试者内连通性估计和受试者间连通性组差异。我们还讨论了其与多种疾病中 HRF 畸变所造成的连接障碍的临床相关性。我们提供的关于女性和男性之间 HRF 差异的数据有限，这导致在群体水平比较中功能连接估计的中位误差为 15.4%。我们还讨论了 HRF 变异性对脊髓功能磁共振成像研究的影响。社区内需要就 HRF 混淆进行更多对话，我们希望我们的文章能够成为这一过程的催化剂。
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.
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影响因子：
5.7
作者：
Hampstead BM;Khoshnoodi M;Yan W;Deshpande G;Sathian K
通讯作者：
Sathian K
影响因子：
5.7
作者：
Deshpande, Gopikrishna;Sathian, K.;Hu, Xiaoping
通讯作者：
Hu, Xiaoping
DOI：
10.1098/rstb.2019.0635
发表时间：
2021-01-04
影响因子：
6.3
作者：
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通讯作者：
Drew, Patrick J.
影响因子：
5.7
作者：
Archila-Melendez, Mario E.;Sorg, Christian;Preibisch, Christine
通讯作者：
Preibisch, Christine
影响因子：
2.5
作者：
Bush, Keith;Cisler, Josh;Kilts, Clint
通讯作者：
Kilts, Clint