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
中科院分区:
文献类型:
--
作者:
Kaneoke Y;Donishi T;Iwatani J;Ukai S;Shinosaki K;Terada M
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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DOI:
10.1523/jneurosci.2180-11.2011
发表时间:
2011-08-10
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
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通讯作者:
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影响因子:
5.7
作者:
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通讯作者:
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影响因子:
3
作者:
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通讯作者:
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DOI:
10.1073/pnas.0905314106
发表时间:
2009-11-24
影响因子:
11.1
作者:
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通讯作者:
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DOI:
10.1523/jneurosci.1296-11.2011
发表时间:
2011-05-25
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
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作者:
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