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扫描过程中的思维塑造静息态功能连接:参与者如何“休息”很重要。

In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants "rest" matters.

作者信息

Gonzalez-Castillo J, Spurney M A, Lam K C, Gephart I S, Pereira F, Handwerker D A, Kam Jwy, Bandettini P A

机构信息

Section on Functional Imaging Methods, NIMH, NIH, Bethesda, Maryland, USA.

Machine Learning Team, NIMH, NIH, Bethesda, Maryland, USA.

出版信息

bioRxiv. 2024 Jun 6:2024.06.05.596482. doi: 10.1101/2024.06.05.596482.

Abstract

Resting-state fMRI (rs-fMRI) scans-namely those lacking experimentally-controlled stimuli or cognitive demands-are often used to identify aberrant patterns of functional connectivity (FC) in clinical populations. To minimize interpretational uncertainty, researchers control for across-cohort disparities in age, gender, co-morbidities, and head motion. Yet, studies rarely, if ever, consider the possibility that systematic differences in inner experience (i.e., what subjects think and feel during the scan) may directly affect FC measures. Here we demonstrate that is the case using a rs-fMRI dataset comprising 471 scans annotated with experiential data. Wide-spread significant differences in FC are observed between scans that systematically differ in terms of reported in-scanner experience. Additionally, we show that FC can successfully predict specific aspects of in-scanner experience in a manner similar to how it predicts demographics, cognitive abilities, clinical outcomes and labels. Together, these results highlight the key role of in-scanner experience in shaping rs-fMRI estimates of FC.

摘要

静息态功能磁共振成像(rs-fMRI)扫描——即那些缺乏实验控制刺激或认知需求的扫描——常用于识别临床人群中功能连接(FC)的异常模式。为了尽量减少解释的不确定性,研究人员控制了不同队列在年龄、性别、共病和头部运动方面的差异。然而,研究很少(如果有的话)考虑内心体验的系统差异(即受试者在扫描过程中的所思所感)可能直接影响FC测量的可能性。在此,我们使用一个包含471次扫描且标注有体验数据的rs-fMRI数据集证明了情况确实如此。在报告的扫描体验方面存在系统差异的扫描之间,观察到FC存在广泛的显著差异。此外,我们表明FC能够以类似于其预测人口统计学、认知能力、临床结果和标签的方式成功预测扫描体验的特定方面。总之,这些结果突出了扫描体验在塑造rs-fMRI对FC的估计中的关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56df/11188111/ed78e791a439/nihpp-2024.06.05.596482v1-f0001.jpg

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