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认知正常老年人斯特鲁普表现与静息态功能连接的关系。

Relationship between Stroop performance and resting state functional connectivity in cognitively normal older adults.

机构信息

Department of Psychology at Washington University in Saint Louis, Saint Louis, MO.

Department of Neurology at Washington University in Saint Louis, Saint Louis, MO.

出版信息

Neuropsychology. 2013 Sep;27(5):516-28. doi: 10.1037/a0033402.

DOI:10.1037/a0033402
PMID:24040929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3837537/
Abstract

OBJECTIVE

Early biomarkers of Alzheimer's disease (AD) are needed for developing therapeutic interventions. Measures of attentional control in Stroop-type tasks discriminate healthy aging from early stage AD and predict future development of AD in cognitively normal individuals. Disruption in resting state functional connectivity MRI (rs-fcMRI) has been reported in AD and in healthy controls at risk for AD. We explored the relationship among Stroop performance, rs-fcMRI, and CSF Aβ₄₂ levels in cognitively normal older adults.

METHOD

A computerized Stroop task (along with standard neuropsychological measures), rs-fcMRI, and CSF were obtained in 237 cognitively normal older adults. We compared the relationship between Stroop performance, including measures from reaction distributional analyses, and composite scores from four resting state networks (RSNs; default mode [DMN], salience [SAL], dorsal attention [DAN], and sensory-motor [SMN]), and the modulatory influence of CSF Aβ₄₂ levels.

RESULTS

A larger Stroop effect in errors was associated with reduced rs-fcMRI within the DMN and SAL. Reaction time (RT) distributional analyses indicated the slow tail of the RT distribution was related to reduced rs-fcMRI functional connectivity within the SAL. Standard psychometric measures were not related to RSN composite scores. A relationship between Stroop performance and DMN (but not SAL) functional connectivity was stronger in CSF Aβ₄₂-positive individuals.

CONCLUSIONS

A link exists between RSN composite scores and specific attentional performance measures. Both measures may be sensitive biomarkers for AD.

摘要

目的

需要阿尔茨海默病(AD)的早期生物标志物来开发治疗干预措施。Stroop 型任务中的注意力控制措施可区分健康衰老与早期 AD,并可预测认知正常个体中 AD 的未来发展。AD 患者和有 AD 风险的健康对照者的静息状态功能磁共振成像(rs-fcMRI)存在中断。我们探讨了认知正常老年人中 Stroop 表现、rs-fcMRI 和 CSF Aβ₄₂水平之间的关系。

方法

在 237 名认知正常的老年人中进行了计算机化 Stroop 任务(以及标准神经心理学测量)、rs-fcMRI 和 CSF 检测。我们比较了 Stroop 表现(包括反应分布分析的测量值)与四个静息状态网络(默认模式 [DMN]、突显 [SAL]、背侧注意 [DAN] 和感觉运动 [SMN])的综合评分之间的关系,以及 CSF Aβ₄₂水平的调节作用。

结果

错误中的更大 Stroop 效应与 DMN 和 SAL 内的 rs-fcMRI 减少有关。反应时间(RT)分布分析表明,RT 分布的慢尾与 SAL 内的 rs-fcMRI 功能连接减少有关。标准心理测量指标与 RSN 综合评分无关。在 CSF Aβ₄₂阳性个体中,Stroop 表现与 DMN(而非 SAL)功能连接之间存在更强的关系。

结论

RSN 综合评分与特定注意力表现测量之间存在关联。这两种措施都可能是 AD 的敏感生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/7985c22ae6c4/nihms-525352-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/066fcc8d38fe/nihms-525352-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/4ecbaaf8dea5/nihms-525352-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/19144da659de/nihms-525352-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/7985c22ae6c4/nihms-525352-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/066fcc8d38fe/nihms-525352-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/4ecbaaf8dea5/nihms-525352-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/19144da659de/nihms-525352-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f9/3837537/7985c22ae6c4/nihms-525352-f0004.jpg

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