Age-related variation in EEG complexity to photic stimulation: a multiscale entropy analysis.

Age-related variation in EEG complexity to photic stimulation: a multiscale entropy analysis.
复制标题

DOI:
10.1016/j.clinph.2008.12.043
复制
发表时间:
2009-03
期刊:
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
影响因子:
--
通讯作者:
Wada Y
Wada Y
中科院分区:
其他
文献类型:
--
作者:
Takahashi T;Cho RY;Murata T;Mizuno T;Kikuchi M;Mizukami K;Kosaka H;Takahashi K;Wada Y

文献摘要

参考文献

被引文献

相似文献

本研究旨在检查老化过程中响应光刺激(PS)的脑电图(EEG)复杂性的变化,以检验老化过程降低生理复杂性和功能反应性的假设。多尺度熵(MSE),时间序列信号的复杂性与长距离的时间相关性的估计,被用来作为一个最近提出的方法量化EEG复杂性与多个粗粒度序列。我们记录了13名健康老年受试者和12名健康年轻受试者在PS前和PS后条件下的EEG,并估计了各自的MSE值。对于PS前条件,两组之间没有发现显著的复杂性差异。然而,一个显着的MSE变化(复杂性增加)后,发现PS仅在年轻的受试者,从而揭示了幂律缩放属性,这意味着长距离的时间相关性。PS后年轻受试者的长程时间相关性增强可能反映了皮质对刺激的反应,这在老年受试者中不存在。这些结果与一般的“复杂性丧失/对刺激的功能反应减弱”的衰老理论是一致的。我们的研究结果表明,应用MSE分析脑电图是一个强大的方法,研究与年龄相关的脑功能的变化。
This study was intended to examine variations in electroencephalographic (EEG) complexity in response to photic stimulation (PS) during aging to test the hypothesis that the aging process reduces physiologic complexity and functional responsiveness. Multiscale entropy (MSE), an estimate of time-series signal complexity associated with long-range temporal correlation, is used as a recently proposed method for quantifying EEG complexity with multiple coarse-grained sequences. We recorded EEG in 13 healthy elderly subjects and 12 healthy young subjects during pre-PS and post-PS conditions and estimated their respective MSE values. For the pre-PS condition, no significant complexity difference was found between the groups. However, a significant MSE change (complexity increase) was found post-PS only in young subjects, thereby revealing a power-law scaling property, which means long-range temporal correlation. Enhancement of long-range temporal correlation in young subjects after PS might reflect a cortical response to stimuli, which was absent in elderly subjects. These results are consistent with the general “loss of complexity/diminished functional response to stimuli” theory of aging. Our findings demonstrate that application of MSE analysis to EEG is a powerful approach for studying age-related changes in brain function.
DOI: 10.1016/j.clinph.2005.04.001
发表时间: 2005-08-01
影响因子: 4.7
作者:
Abásolo, D;Hornero, R;de la Rosa, R
通讯作者: de la Rosa, R
DOI: 10.1177/155005940303400407
发表时间: 2003-10-01
期刊: CLINICAL ELECTROENCEPHALOGRAPHY
影响因子: --
作者:
Kikuchi, M;Wada, Y;Koshino, Y
通讯作者: Koshino, Y
DOI: 10.1103/physrevlett.59.381
发表时间: 1987-07-27
影响因子: 8.6
作者:
BAK, P;TANG, C;WIESENFELD, K
通讯作者: WIESENFELD, K
DOI: 10.1177/155005940503600106
发表时间: 2005-01-01
影响因子: 2
作者:
Burioka, N;Miyata, M;Shimizu, E
通讯作者: Shimizu, E
DOI: 10.1177/155005940203300208
发表时间: 2002-04-01
期刊: CLINICAL ELECTROENCEPHALOGRAPHY
影响因子: --
作者:
Kikuchi, M;Wada, Y;Koshino, Y
通讯作者: Koshino, Y