宽带放大器的挑战：特征空间和方差中的未知未知因素。

The challenge of BWAs: Unknown unknowns in feature space and variance.

作者信息

Bandettini Peter A, Gonzalez-Castillo Javier, Handwerker Dan, Taylor Paul, Chen Gang, Thomas Adam

机构信息

Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD 20817, USA; Functional MRI Core Facility, National Institute of Mental Health, Bethesda, MD 20817, USA.

Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD 20817, USA.

出版信息

Med. 2022 Aug 12;3(8):526-531. doi: 10.1016/j.medj.2022.07.002.

DOI:10.1016/j.medj.2022.07.002

PMID:35963233

Abstract

The recent paper by Marek et al. has shown that, to capture brain-wide associations using fMRI and MRI measures, thousands of individuals are required. These results can be potentially misunderstood to imply that MRI or fMRI lack sensitivity or specificity. This commentary discusses the demonstrated sensitivity of fMRI and focuses on methodology that may allow improvements in BWA studies. While individual variation may be an ultimate constraint, refinements in acquisition, population selection, and processing may bring about higher correlations.

摘要

马雷克等人最近发表的论文表明，要使用功能磁共振成像（fMRI）和磁共振成像（MRI）测量来捕捉全脑关联，需要数千名个体。这些结果可能会被误解为意味着MRI或fMRI缺乏敏感性或特异性。本评论讨论了已证明的fMRI的敏感性，并重点关注可能有助于改进全脑关联（BWA）研究的方法。虽然个体差异可能是最终的限制因素，但采集、人群选择和处理方面的改进可能会带来更高的相关性。