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利用多回波回波平面成像增强基于任务的嗅觉功能磁共振成像中的血氧水平依赖(BOLD)敏感性。

Leveraging multi-echo EPI to enhance BOLD sensitivity in task-based olfactory fMRI.

作者信息

Zhao Ludwig Sichen, Raithel Clara U, Tisdall M Dylan, Detre John A, Gottfried Jay A

机构信息

Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.

Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

出版信息

Imaging Neurosci (Camb). 2024 Dec 2;2. doi: 10.1162/imag_a_00362. eCollection 2024.

Abstract

Functional magnetic resonance imaging (fMRI) usingblood-oxygenation-level-dependent (BOLD) contrast relies on gradient echoecho-planar imaging (GE-EPI) to quantify dynamic susceptibility changesassociated with the hemodynamic response to neural activity. However, acquiringBOLD fMRI in human olfactory regions is particularly challenging due to theirproximity to the sinuses where large susceptibility gradients induce magneticfield distortions. BOLD fMRI of the human olfactory system is furthercomplicated by respiratory artifacts that are highly correlated with eventonsets in olfactory tasks. Multi-echo EPI (ME-EPI) acquires gradient echo dataat multiple echo times (TEs) during a single acquisition and can leverage signalevolution over the multiple echo times to enhance BOLD sensitivity and reduceartifactual signal contributions. In the current study, we developed an ME-EPIacquisition protocol for olfactory task-based fMRI and demonstrated significantimprovement in BOLD signal sensitivity over conventional single-echo EPI(1E-EPI). The observed improvement arose from both an increase in BOLD signalchanges through a -weightedecho combination and a reduction in non-BOLD artifacts through the applicationof the Multi-Echo Independent Components Analysis (ME-ICA) denoising method.This study represents one of the first direct comparisons between 1E-EPI andME-EPI in high-susceptibility regions and provides compelling evidence in favorof using ME-EPI for future task-based fMRI studies.

摘要

利用血氧水平依赖(BOLD)对比的功能磁共振成像(fMRI)依靠梯度回波平面回波成像(GE-EPI)来量化与对神经活动的血液动力学反应相关的动态磁化率变化。然而,在人类嗅觉区域进行BOLD fMRI尤其具有挑战性,因为这些区域靠近鼻窦,在鼻窦处大的磁化率梯度会引起磁场畸变。人类嗅觉系统的BOLD fMRI还因与嗅觉任务中的事件起始高度相关的呼吸伪影而变得更加复杂。多回波EPI(ME-EPI)在单次采集期间在多个回波时间(TE)获取梯度回波数据,并且可以利用多个回波时间上的信号演变来提高BOLD灵敏度并减少伪影信号贡献。在当前研究中,我们开发了一种用于基于嗅觉任务的fMRI的ME-EPI采集协议,并证明与传统单回波EPI(1E-EPI)相比,BOLD信号灵敏度有显著提高。观察到的改善既来自通过加权回波组合增加BOLD信号变化,也来自通过应用多回波独立成分分析(ME-ICA)去噪方法减少非BOLD伪影。本研究是在高磁化率区域对1E-EPI和ME-EPI进行的首批直接比较之一,并为在未来基于任务的fMRI研究中使用ME-EPI提供了有力证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/320a/12315737/a5128283e000/imag_a_00362_fig1.jpg

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