Functional Near-Infrared Spectroscopy Signal as a Potential Biomarker for White Matter Hyperintensity Progression in Patients With Subcortical Vascular Cognitive Impairment: A Pilot Study

IF 2.6 3区 心理学 Q2 BEHAVIORAL SCIENCES
Qi Wang, Byoung-Soo Shin, Sun-Young Oh, Seungbae Hwang, Ko Woon Kim
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引用次数: 0

Abstract

Background

White matter hyperintensities (WMH) are a common cause of subcortical vascular cognitive impairment (SVCI). The silent yet progressive nature of WMH in cognitive decline underscores the need for reliable biomarkers for early detection and monitoring of its progression. This study aims to investigate the association between functional near-infrared spectroscopy (fNIRS) signals during mental and physical activities and WMH volume. Additionally, it explores the relationship between fNIRS signals and WMH progression.

Material and Methods:

We recruited 27 patients with mild cognitive impairment (MCI) presenting WMH clinical characteristics. Data from fNIRS and MRI scans were collected during their first visit. Ten of them underwent fNIRS and MRI scans in a second visit two years later. WMH volume analysis used volBrain lesionBrain 1.0 (https://www.volbrain.net). ROC curve analysis was applied to the normalized WMH volume to determine a cut-off value for distinguishing between the subcortical vascular MCI (svMCI) and amnestic MCI (aMCI) groups. We compared fNIRS data during cognitive tests and physical activities between svMCI and aMCI groups at the first visit and in the two-year follow-up.

Results

While cognitive profiles were similar between groups, svMCI patients showed significantly reduced fNIRS signals, particularly in the left orbitofrontal cortex (OFC) during verbal fluency tasks (P = 0.005), with further reductions in the left dorsolateral prefrontal cortex (P = 0.049), left OFC (P = 0.012), and right OFC (P = 0.02) over two years. Baseline WMH volume correlated negatively with fNIRS signals during the Stroop test (r = -0.837, P = 0.005). Changes in WMH volume over two years correlated positively with changes in fNIRS signals in the right ventrolateral prefrontal cortex during memory tasks (r = 0.886, P = 0.033) and left OFC during balance tasks (r = 0.786, P = 0.028).

Conclusion

Our results suggest that fNIRS signals have the potential to serve as biomarkers for WMH progression.

Abstract Image

功能性近红外光谱信号作为皮质下血管性认知障碍患者白质高强度进展的潜在生物标志物:一项初步研究
背景白质高信号(WMH)是皮层下血管性认知障碍(SVCI)的常见原因。WMH在认知能力下降中的隐匿性和进行性强调了需要可靠的生物标志物来早期检测和监测其进展。本研究旨在探讨身心活动时功能性近红外光谱(fNIRS)信号与WMH体积的关系。此外,它还探讨了fNIRS信号与WMH进展之间的关系。材料和方法:我们招募了27例具有WMH临床特征的轻度认知障碍(MCI)患者。在第一次就诊时收集了fNIRS和MRI扫描数据。其中10人在两年后的第二次访问中接受了近红外光谱和核磁共振扫描。WMH体积分析使用volBrain lesionBrain 1.0 (https://www.volbrain.net)。对归一化WMH体积进行ROC曲线分析,以确定区分皮层下血管性MCI (svMCI)和遗忘性MCI (aMCI)组的截止值。我们比较了svMCI组和aMCI组在第一次访问和两年随访期间的认知测试和身体活动中的fNIRS数据。结果虽然两组之间的认知特征相似,但svMCI患者的fNIRS信号明显减少,尤其是在言语流畅任务期间的左眶额皮质(OFC) (P = 0.005),在两年内,左背侧前额皮质(P = 0.049)、左OFC (P = 0.012)和右OFC (P = 0.02)进一步减少。Stroop试验时基线WMH体积与fNIRS信号呈负相关(r = -0.837, P = 0.005)。两年内WMH体积的变化与记忆任务时右腹外侧前额叶皮层fNIRS信号的变化(r = 0.886, P = 0.033)和平衡任务时左OFC fNIRS信号的变化(r = 0.786, P = 0.028)呈正相关。结论fNIRS信号有可能作为WMH进展的生物标志物。
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来源期刊
Brain and Behavior
Brain and Behavior BEHAVIORAL SCIENCES-NEUROSCIENCES
CiteScore
5.30
自引率
0.00%
发文量
352
审稿时长
14 weeks
期刊介绍: Brain and Behavior is supported by other journals published by Wiley, including a number of society-owned journals. The journals listed below support Brain and Behavior and participate in the Manuscript Transfer Program by referring articles of suitable quality and offering authors the option to have their paper, with any peer review reports, automatically transferred to Brain and Behavior. * [Acta Psychiatrica Scandinavica](https://publons.com/journal/1366/acta-psychiatrica-scandinavica) * [Addiction Biology](https://publons.com/journal/1523/addiction-biology) * [Aggressive Behavior](https://publons.com/journal/3611/aggressive-behavior) * [Brain Pathology](https://publons.com/journal/1787/brain-pathology) * [Child: Care, Health and Development](https://publons.com/journal/6111/child-care-health-and-development) * [Criminal Behaviour and Mental Health](https://publons.com/journal/3839/criminal-behaviour-and-mental-health) * [Depression and Anxiety](https://publons.com/journal/1528/depression-and-anxiety) * Developmental Neurobiology * [Developmental Science](https://publons.com/journal/1069/developmental-science) * [European Journal of Neuroscience](https://publons.com/journal/1441/european-journal-of-neuroscience) * [Genes, Brain and Behavior](https://publons.com/journal/1635/genes-brain-and-behavior) * [GLIA](https://publons.com/journal/1287/glia) * [Hippocampus](https://publons.com/journal/1056/hippocampus) * [Human Brain Mapping](https://publons.com/journal/500/human-brain-mapping) * [Journal for the Theory of Social Behaviour](https://publons.com/journal/7330/journal-for-the-theory-of-social-behaviour) * [Journal of Comparative Neurology](https://publons.com/journal/1306/journal-of-comparative-neurology) * [Journal of Neuroimaging](https://publons.com/journal/6379/journal-of-neuroimaging) * [Journal of Neuroscience Research](https://publons.com/journal/2778/journal-of-neuroscience-research) * [Journal of Organizational Behavior](https://publons.com/journal/1123/journal-of-organizational-behavior) * [Journal of the Peripheral Nervous System](https://publons.com/journal/3929/journal-of-the-peripheral-nervous-system) * [Muscle & Nerve](https://publons.com/journal/4448/muscle-and-nerve) * [Neural Pathology and Applied Neurobiology](https://publons.com/journal/2401/neuropathology-and-applied-neurobiology)
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