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3特斯拉下VASO反应的敏感性和BOLD污染的比较分析:ME-DEPICT与ME-EPI读出方式对比

A comparative analysis of the sensitivity and BOLD contamination of the VASO response at 3 Tesla: ME-DEPICTING vs. ME-EPI readouts.

作者信息

Devi Ratnamanjuri, Lepsien Jöran, Mildner Toralf, Möller Harald E

机构信息

NMR Methods & Development Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Imaging Neurosci (Camb). 2024 Oct 28;2. doi: 10.1162/imag_a_00333. eCollection 2024.

Abstract

'Non-BOLD fMRI' data acquired at non-zero echo time ( ) suffer from contamination by the Blood Oxygenation Level Dependent (BOLD) signal due to the unavoidable signal decay caused by transverse relaxation. This contamination further reduces their already low inherent functional sensitivities and makes their correction essential. The Slice-Saturation Slab-Inversion Vascular Space Occupancy (SS-SI-VASO), for instance, cancels out BOLD contributions from VASO data, reflecting cerebral blood volume (CBV) changes, via a dynamic division approach. Alternatively, multi-echo (ME) data provide the possibility of extrapolating to =0. Acquisitions at very short would minimize the need for such corrections. The center-out EPI variant ('DEPICTING') is one such readout which allows for short . The ME 2D DEPICTING was compared here against a traditional ME 2D EPI for its sensitivity to functional changes in the VASO signal. The two BOLD-correction schemes were also evaluated. Clear differences in functional sensitivity were observed for the uncorrected VASO data obtained from the first echo, , of the two readouts. VASO data corrected by ME extrapolation were, however, found to be almost identical in their sensitivity for detecting CBV changes for both readouts. An excessively high increase in VASO signal sensitivity observed with the dynamic division correction for both readouts revealed a near-perfect linear dependence on of VASO signal changes. This could be attributed to the substantial intravascular BOLD contributions at 3 T. In the present data, extravascular fraction was found to be around ~50-60%. ME extrapolation is, hence, recommended to avoid overestimation of functional CBV changes at commonly used TEs.

摘要

在非零回波时间( )采集的“非血氧水平依赖性功能磁共振成像(Non-BOLD fMRI)”数据,由于横向弛豫导致的不可避免的信号衰减,会受到血氧水平依赖(BOLD)信号的污染。这种污染进一步降低了它们本就较低的固有功能灵敏度,因此对其进行校正至关重要。例如,切片饱和板反转血管空间占据(SS-SI-VASO)通过动态除法方法消除了来自反映脑血容量(CBV)变化的VASO数据中的BOLD贡献。或者,多回波(ME)数据提供了外推到 =0的可能性。在非常短的 下进行采集将使这种校正的需求最小化。中心向外的回波平面成像(EPI)变体(“描绘”)就是这样一种允许短 的读出方式。在此将ME二维“描绘”与传统的ME二维EPI在对VASO信号功能变化的灵敏度方面进行了比较。还评估了两种BOLD校正方案。对于从两个读出方式的第一个回波 获得的未校正VASO数据,观察到功能灵敏度存在明显差异。然而,发现通过ME外推校正的VASO数据在检测两个读出方式的CBV变化的灵敏度方面几乎相同。对于两个读出方式,通过动态除法校正观察到VASO信号灵敏度过高增加,这表明VASO信号变化与 几乎呈完美的线性依赖关系。这可能归因于在3 T时血管内BOLD的大量贡献。在本数据中,发现血管外 分数约为~50 - 60%。因此,建议采用ME外推以避免在常用回波时间(TE)下对功能性CBV变化的高估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a700/12290853/877c3dc0dd16/imag_a_00333_fig1.jpg

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