Cost Efficiency of fMRI Studies Using Resting-State Vs. Task-Based Functional Connectivity

IF 3.5 2区 医学 Q1 NEUROIMAGING
Xinzhi Zhang, Leslie A. Hulvershorn, Todd Constable, Yize Zhao, Selena Wang
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Abstract

We investigate whether and how we can improve the cost efficiency of neuroimaging studies with well-tailored fMRI tasks. The comparative study is conducted using a novel network science-driven Bayesian connectome-based predictive method, which incorporates network theories in model building and substantially improves precision and robustness in imaging biomarker detection. The robustness of the method lays the foundation for identifying predictive power differentials across fMRI task conditions if such differences exist. When applied to a clinically heterogeneous transdiagnostic cohort, we find shared and distinct functional fingerprints of neuropsychological outcomes across seven fMRI conditions. For example, the emotional N-back memory task is found to be less optimal for negative emotion outcomes, and the gradual-onset continuous performance task is found to have stronger links with sensitivity and sociability outcomes than with cognitive control outcomes. Together, our results show that there are unique optimal pairings of task-based fMRI conditions and neuropsychological outcomes that should not be ignored when designing well-powered neuroimaging studies.

Abstract Image

使用静息状态与基于任务的功能连接的fMRI研究的成本效率
我们研究是否以及如何通过精心定制的功能磁共振成像任务来提高神经成像研究的成本效率。对比研究使用了一种新的网络科学驱动的基于贝叶斯连接体的预测方法,该方法将网络理论纳入模型构建,大大提高了成像生物标志物检测的精度和鲁棒性。该方法的鲁棒性为识别跨fMRI任务条件的预测能力差异(如果存在这种差异)奠定了基础。当应用于临床异质性的跨诊断队列时,我们发现在7种fMRI条件下神经心理结果的共享和独特的功能指纹。例如,情绪N-back记忆任务被发现对负面情绪结果不太理想,而逐渐开始的持续表现任务被发现与敏感性和社交能力结果的联系比认知控制结果更强。总之,我们的研究结果表明,在设计良好的神经成像研究时,基于任务的fMRI条件和神经心理学结果存在独特的最佳配对,这些配对不应被忽视。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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