PDF(Pubmed)
Abstract：
BACKGROUND: Functional near-infrared spectroscopy (fNIRS) is commonly used to study human brain function by measuring the hemodynamic signals originating from cortical activation and provides a new noninvasive detection method for identifying dementia.
OBJECTIVE: To investigate the fNIRS imaging technique and its clinical application in differential diagnosis of subtype dementias including frontotemporal lobe dementia, Lewy body dementia, Parkinson\'s disease dementia (PDD) and Alzheimer\'s disease (AD).
METHODS: Four patients with different types of dementia were examined with fNIRS during two tasks and a resting state. We adopted the verbal fluency task, working memory task and resting state task. Each patient was compared on the same task. We conducted and analyzed the fNIRS data using a general linear model and Pearson\'s correlation analysis.
RESULTS: Compared with other types of dementias, fNIRS showed the left frontotemporal and prefrontal lobes to be poorly activated during the verbal fluency task in frontotemporal dementia. In Lewy body dementia, severe asymmetry of prefrontal lobes appeared during both verbal fluency and working memory tasks, and the patient had low functional connectivity during a resting state. In PDD, the patient\'s prefrontal cortex showed lower excitability than the temporal lobe during the verbal fluency task, while the prefrontal cortex showed higher excitability during the working memory task. The patient with AD showed poor prefrontal and temporal activation during the working memory task, and more activation of frontopolar instead of the dorsolateral prefrontal cortex.
CONCLUSIONS: Different hemodynamic characteristics of four types of dementia (as seen by fNIRS imaging) provides evidence that fNIRS can serve as a potential tool for the diagnosis between dementia subtypes.
OBJECTIVE: To investigate the fNIRS imaging technique and its clinical application in differential diagnosis of subtype dementias including frontotemporal lobe dementia, Lewy body dementia, Parkinson\'s disease dementia (PDD) and Alzheimer\'s disease (AD).
METHODS: Four patients with different types of dementia were examined with fNIRS during two tasks and a resting state. We adopted the verbal fluency task, working memory task and resting state task. Each patient was compared on the same task. We conducted and analyzed the fNIRS data using a general linear model and Pearson\'s correlation analysis.
RESULTS: Compared with other types of dementias, fNIRS showed the left frontotemporal and prefrontal lobes to be poorly activated during the verbal fluency task in frontotemporal dementia. In Lewy body dementia, severe asymmetry of prefrontal lobes appeared during both verbal fluency and working memory tasks, and the patient had low functional connectivity during a resting state. In PDD, the patient\'s prefrontal cortex showed lower excitability than the temporal lobe during the verbal fluency task, while the prefrontal cortex showed higher excitability during the working memory task. The patient with AD showed poor prefrontal and temporal activation during the working memory task, and more activation of frontopolar instead of the dorsolateral prefrontal cortex.
CONCLUSIONS: Different hemodynamic characteristics of four types of dementia (as seen by fNIRS imaging) provides evidence that fNIRS can serve as a potential tool for the diagnosis between dementia subtypes.
摘要：
背景：功能近红外光谱（fNIRS）通常用于通过测量源自皮质激活的血液动力学信号来研究人脑功能，并提供了一种新的非侵入性检测方法来识别痴呆。
目的：探讨fNIRS成像技术及其在额颞叶痴呆等亚型痴呆鉴别诊断中的临床应用。路易体痴呆,帕金森病痴呆(PDD)和阿尔茨海默病(AD)。
方法：在两个任务和一个静息状态下，对4名不同类型的痴呆患者进行fNIRS检查。我们采用了口语流利的任务，工作记忆任务和休息状态任务。每个患者在相同的任务中进行比较。我们使用一般线性模型和Pearson相关性分析对fNIRS数据进行了分析。
结果：与其他类型的痴呆症相比，fNIRS显示，在额颞叶痴呆的言语流利任务中，左额颞叶和前额叶激活不良。在路易体痴呆症中，严重的不对称的前额叶出现在口头流畅性和工作记忆任务，患者在静息状态下的功能连通性较低。在PDD中，患者的前额叶皮层显示出较低的兴奋性比颞叶在言语流利的任务，而前额叶皮层在工作记忆任务中表现出更高的兴奋性。患有AD的患者在工作记忆任务期间表现出不良的前额叶和颞叶激活，更多的激活额极而不是背外侧前额叶皮层。
结论：四种类型痴呆的不同血流动力学特征（如fNIRS成像所见）提供了证据，证明fNIRS可以作为诊断痴呆亚型之间的潜在工具。
目的：探讨fNIRS成像技术及其在额颞叶痴呆等亚型痴呆鉴别诊断中的临床应用。路易体痴呆,帕金森病痴呆(PDD)和阿尔茨海默病(AD)。
方法：在两个任务和一个静息状态下，对4名不同类型的痴呆患者进行fNIRS检查。我们采用了口语流利的任务，工作记忆任务和休息状态任务。每个患者在相同的任务中进行比较。我们使用一般线性模型和Pearson相关性分析对fNIRS数据进行了分析。
结果：与其他类型的痴呆症相比，fNIRS显示，在额颞叶痴呆的言语流利任务中，左额颞叶和前额叶激活不良。在路易体痴呆症中，严重的不对称的前额叶出现在口头流畅性和工作记忆任务，患者在静息状态下的功能连通性较低。在PDD中，患者的前额叶皮层显示出较低的兴奋性比颞叶在言语流利的任务，而前额叶皮层在工作记忆任务中表现出更高的兴奋性。患有AD的患者在工作记忆任务期间表现出不良的前额叶和颞叶激活，更多的激活额极而不是背外侧前额叶皮层。
结论：四种类型痴呆的不同血流动力学特征（如fNIRS成像所见）提供了证据，证明fNIRS可以作为诊断痴呆亚型之间的潜在工具。
