Correlation between cerebral hemodynamic functional near-infrared spectroscopy and positron emission tomography for assessing mild cognitive impairment and Alzheimer’s disease: An exploratory study

血流动力学 正电子发射断层摄影术 血流动力学反应 神经影像学 功能磁共振成像 相关性 功能近红外光谱 口语流利性测试 医学 心理学 磁共振成像 内科学 心脏病学 背外侧前额叶皮质 神经科学 前额叶皮质 听力学 认知 神经心理学 放射科 心率 血压 几何学 数学
作者
Jin A Yoon,In Joo Kong,Ingyu Choi,Jihyun Cha,Ji Yeong Baek,JongKwan Choi,Yong Beom Shin,Myung‐Jun Shin,Young Min Lee
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:18 (8): e0285013-e0285013 被引量:5
标识
DOI:10.1371/journal.pone.0285013
摘要

This study was performed to investigate the usefulness of functional near-infrared spectroscopy (fNIRS) by conducting a comparative analysis of hemodynamic activation detected by fNIRS and positron emission tomography (PET) and magnetic resonance imaging (MRI) in patients with mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Participants were divided into four groups: the subjective memory impairment (SMI), amnestic MCI (aMCI), non-amnestic MCI (naMCI), and AD groups. We recorded the hemodynamic response during the semantic verbal fluency task (SVFT) using a commercial wireless continuous-wave NIRS system. The correlation between the parameters of the neuroimaging assessments among the groups was analyzed. Region of interest-based comparisons showed that the four groups had significantly different hemodynamic responses during SVFT in the bilateral dorsolateral prefrontal cortex (DLPFC). The linear mixed effect model result indicates that the mean ΔHbO 2 from the bilateral DLPFC regions showed a significant positive correlation to the overall FDG-PET after controlling for age and group differences in the fNIRS signals. Amyloid PET signals tended to better differentiate the AD group from other groups, and fNIRS signals tended to better differentiate the SMI group from other groups. In addition, a comparison between the group pairs revealed a mirrored pattern between the hippocampal volume and hemodynamic response in the DLPFC. The hemodynamic response detected by fNIRS showed a significant correlation with metabolic and anatomical changes associated with disease progression. Therefore, fNIRS may be considered as a screening tool to predict the hemodynamic and metabolic statuses of the brain in patients with MCI and AD.
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