Variance and autocorrelation of the spontaneous slow brain activity.

Variance and autocorrelation of the spontaneous slow brain activity.
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DOI:
10.1371/journal.pone.0038131
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Terada M
Terada M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Kaneoke Y;Donishi T;Iwatani J;Ukai S;Shinosaki K;Terada M

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通过功能磁成像测量的人脑缓慢(<0.1 Hz)振荡活动已被用来识别神经网络及其在特定脑部疾病中的功能障碍。它的内在特性也可能有助于研究大脑功能。我们研究了两个函数图:方差和一阶自相关系数 (r 1)。这两张图具有不同的空间分布,并且在功能连接(FC)研究中确定的楔前叶和后扣带皮层的细分之间的值显着不同。结果强化了这些细分的功能分离,并表明缓慢的大脑活动的内在特性具有生理相关性。此外,我们在评估FC强度与r 1 值的统计显着性时提出了样本量(自由度)校正,这使得能够更好地理解与各种脑部疾病相关的网络变化。
Slow (<0.1 Hz) oscillatory activity in the human brain, as measured by functional magnetic imaging, has been used to identify neural networks and their dysfunction in specific brain diseases. Its intrinsic properties may also be useful to investigate brain functions. We investigated the two functional maps: variance and first order autocorrelation coefficient (r 1). These two maps had distinct spatial distributions and the values were significantly different among the subdivisions of the precuneus and posterior cingulate cortex that were identified in functional connectivity (FC) studies. The results reinforce the functional segregation of these subdivisions and indicate that the intrinsic properties of the slow brain activity have physiological relevance. Further, we propose a sample size (degree of freedom) correction when assessing the statistical significance of FC strength with r 1 values, which enables a better understanding of the network changes related to various brain diseases.
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