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1型糖尿病患者低血糖诱导的脑电图相干性降低

Hypoglycemia-Induced Decrease of EEG Coherence in Patients with Type 1 Diabetes.

作者信息

Rubega Maria, Sparacino Giovanni, Sejling Anne S, Juhl Claus B, Cobelli Claudio

机构信息

1 Department of Information Engineering, University of Padova , Padova, Italy .

2 Department of Cardiology, Nephrology and Endocrinology, Nordsjællands University Hospital , Hillerød, Denmark .

出版信息

Diabetes Technol Ther. 2016 Mar;18(3):178-84. doi: 10.1089/dia.2015.0347. Epub 2016 Jan 8.

Abstract

BACKGROUND

Hypoglycemic events in patients with type 1 diabetes (T1D) are associated with measurable electroencephalography (EEG) changes. Previous studies have, however, evaluated these changes on a single EEG channel level, whereas multivariate analysis of several EEG channels has been scarcely investigated. The aim of the present work is to use a coherence approach to quantitatively assess how hypoglycemia affects mutual connectivity of different brain areas.

MATERIALS AND METHODS

EEG multichannel data were obtained from 19 patients with T1D (58% males; mean age, 55 ± 2.4 years; diabetes duration, 28.5 ± 2.6 years; glycated hemoglobin, 8.0 ± 0.2%) who underwent a hyperinsulinemic-hypoglycemic clamp study. The information partial directed coherence (iPDC) function was computed through multivariate autoregressive models during eu- and hypoglycemia in the theta and alpha bands.

RESULTS

In passing from eu- to hypoglycemia, absolute values of the iPDC function tend to decrease in both bands in all combinations of the considered channels. In particular, the scalar indicator [Formula: see text], which summarizes iPDC information, significantly decreased (P < 0.01) in 17 of 19 subjects: from T5-A1A2 to C3-A1A2 from O1-A1A2 to C4-A1A2 and from O2-A1A2 to Cz-A1A2 in the theta band and from O1-A1A2 to T4-A1A2 and from O1-A1A2 to C4-A1A2 in the alpha band.

CONCLUSIONS

The coherence decrease measured by iPDC in passing from eu- to hypoglycemia is likely related to the progressive loss of cognitive function and altered cerebral activity in hypoglycemia. This result encourages further quantitative investigation of EEG changes in hypoglycemia and of how EEG acquisition and real-time processing can support hypoglycemia alert systems.

摘要

背景

1型糖尿病(T1D)患者的低血糖事件与可测量的脑电图(EEG)变化相关。然而,以往的研究仅在单个EEG通道水平上评估这些变化,而对多个EEG通道的多变量分析则鲜有研究。本研究的目的是采用相干分析方法定量评估低血糖如何影响不同脑区之间的相互连接性。

材料与方法

从19例T1D患者(58%为男性;平均年龄55±2.4岁;糖尿病病程28.5±2.6年;糖化血红蛋白8.0±0.2%)获取EEG多通道数据,这些患者均接受了高胰岛素-低血糖钳夹研究。在正常血糖和低血糖状态下,通过多变量自回归模型计算θ波和α波频段的信息偏定向相干(iPDC)函数。

结果

从正常血糖转变为低血糖时,在所考虑通道的所有组合中,iPDC函数的绝对值在两个频段均趋于下降。特别是,总结iPDC信息的标量指标[公式:见原文]在19名受试者中的17名中显著下降(P<0.01):在θ波频段,从T5-A1A2到C3-A1A2、从O1-A1A2到C4-A1A2以及从O2-A1A2到Cz-A1A2;在α波频段,从O1-A1A2到T4-A1A2以及从O1-A1A2到C4-A1A2。

结论

iPDC测量显示,从正常血糖转变为低血糖时相干性降低,这可能与低血糖时认知功能的逐渐丧失和脑活动改变有关。这一结果鼓励进一步对低血糖时的EEG变化以及EEG采集和实时处理如何支持低血糖警报系统进行定量研究。

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