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Hemodynamic response function in patients with stroke-induced aphasia: Implications for fMRI data analysis

机译:中风性失语症患者的血流动力学反应功能:功能磁共振成像数据分析的意义

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摘要

Functional MRI is based on changes in cerebral microvasculature triggered by increased neuronal oxidative metabolism. This change in blood flow follows a pattern known as the hemodynamic response function (HRF), which typically peaks 4–6 s following stimulus delivery. However, in the presence of cerebrovascular disease the HRF may not follow this normal pattern, due to either the temporal signal to noise (tSNR) ratio or delays in the HRF, which may result in misinterpretation or underestimation of fMRI signal. The present study examined the HRF and SNR in five individuals with aphasia resulting from stroke and four unimpaired participants using a lexical decision task and a long trial event-related design. T1-weighted images were acquired using an MP-RAGE sequence and BOLD T2*-weighted images were acquired using Echo Planar Imaging to measure time to peak (TTP) in the HRF. Data were analyzed using Brain Voyager in four anatomic regions known to be involved in language processing: Broca’s area and the posterior perisylvian network (PPN) (including Wernicke’s area, the angular and supramarginal gyri) and right hemisphere homologues of these regions. The occipital area also was examined as a control region. Analyses showed that the TTP in three out of five patients in the left perisylvian area was increased significantly as compared to normal individuals and the left primary visual cortex in the same patients. In two other patients no significant delays were detected. We also found that the SNR for BOLD signal detection may by insufficient in damaged areas. These findings indicate that obtaining physiologic (TTP) and quality assurance (tSNR) information is essential for studying activation patterns in brain-damaged patients in order to avoid errors in interpretation of the data. An example of one such misinterpretation and the need for alternative data analysis strategies is discussed.
机译:功能MRI基于神经元氧化代谢增加引起的脑微血管变化。血流的这种变化遵循一种称为血液动力学响应函数(HRF)的模式,通常在刺激传递后4-6 s达到峰值。但是,在脑血管疾病的存在下,由于时间信噪比(tSNR)或HRF的延迟,HRF可能不会遵循这种正常模式,这可能会导致fMRI信号的误解或低估。本研究使用词汇决策任务和长期试验相关设计,研究了五名因中风而导致的失语症患者的HRF和SNR,以及四名无障碍参与者。使用MP-RAGE序列获取T1加权图像,并使用Echo Planar Imaging获取大胆的T2 *加权图像以测量HRF中的峰值时间(TTP)。使用Brain Voyager在四个已知参与语言处理的解剖区域中对数据进行了分析:Broca区域和后腰周神经网络(PPN)(包括Wernicke区域,角和上指回)以及这些区域的右半球同源物。还检查了枕骨区域作为对照区域。分析显示,与同一个患者的正常个体和左初级视皮层相比,左周壁区五分之三的患者的TTP显着增加。在另外两名患者中,没有发现明显的延迟。我们还发现,在损坏的区域中,BOLD信号检测的SNR可能不足。这些发现表明,获取生理(TTP)和质量保证(tSNR)信息对于研究脑损伤患者的激活模式至关重要,以避免数据解释错误。讨论了一个这样的误解的示例,以及对替代数据分析策略的需求。

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