Invariance in current dipole moment density across brain structures and species: physiological constraint for neuroimaging.
Invariance in current dipole moment density across brain structures and species: physiological constraint for neuroimaging.
复制标题
大脑结构和物种之间当前偶极矩密度的不变性：神经成像的生理约束。
DOI：
10.1016/j.neuroimage.2015.02.003
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发表时间：
2015-05-01
期刊：
影响因子：
5.7
通讯作者：
Okada Y
中科院分区：
文献类型：
--
作者：
Murakami S;Okada Y
虽然解剖约束已被证明是有效的MEG和EEG逆解，仍然没有有效的生理约束。电流发生器的强度通常由等效电流偶极子Q的力矩来描述。该值是相当可变的，因为它取决于活性组织的大小。与此相反，电流偶极矩密度q，定义为Q每表面积的活性皮质，是独立的活性组织的大小。在这里，我们研究了q值是否在不同脑结构和物种的生理条件下具有最大值。我们确定的值，由于单独的初级神经元电流（qprimary），校正由于测量条件和次级电流源在不同电导率的区域分离的边界处的失真。海龟小脑（0.56-1.48 nAm/mm 2）、豚鼠海马（0.30-1.34 nAm/mm 2）、猪新皮质（0.18-1.63 nAm/mm 2）、大鼠新皮质（~2.2 nAm/mm 2）、猴新皮质（~0.40 nAm/mm 2）和人新皮质（0.16-0.77 nAm/mm 2）的数值范围相同。因此，似乎存在跨脑结构和物种的最大值（1-2 nAm/mm 2）。经验值与我们独立验证的神经网络模型获得的理论值（初始尖峰为1.6-2.8 nAm/mm 2，爆发为0.7-3.1 nAm/mm 2）非常匹配，表明表观不变性不是巧合。我们的模型研究表明，一个单一的最大值可能存在于广泛的大脑结构和物种，不同的神经元密度，由于神经元的基本电特性。qprimary的最大值可以作为MEG/EEG逆解的有效生理约束。
Although anatomical constraints have been shown to be effective for MEG and EEG inverse solutions, there are still no effective physiological constraints. Strength of the current generator is normally described by the moment of an equivalent current dipole Q. This value is quite variable since it depends on size of active tissue. In contrast, the current dipole moment density q, defined as Q per surface area of active cortex, is independent of size of active tissue. Here we studied whether the value of q has a maximum in physiological conditions across brain structures and species. We determined the value due to the primary neuronal current (qprimary) alone, correcting for distortions due to measurement conditions and secondary current sources at boundaries separating regions of differing electrical conductivity. The values were in the same range for turtle cerebellum (0.56–1.48 nAm/mm2), guinea pig hippocampus (0.30–1.34 nAm/mm2), and swine neocortex (0.18–1.63 nAm/mm2), rat neocortex (~2.2 nAm/mm2), monkey neocortex (~0.40 nAm/mm2) and human neocortex (0.16–0.77 nAm/mm2). Thus, there appears to be a maximum value across the brain structures and species (1–2 nAm/mm2). The empirical values closely matched the theoretical values obtained with our independently validated neural network model (1.6–2.8 nAm/mm2 for initial spike and 0.7–3.1 nAm/mm2 for burst), indicating that the apparent invariance is not coincidental. Our model study shows that a single maximum value may exist across a wide range of brain structures and species, varying in neuron density, due to fundamental electrical properties of neurons. The maximum value of qprimary may serve as an effective physiological constraint for MEG/EEG inverse solutions.
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影响因子：
2.5
作者：
Goto, Takakuni;Hatanaka, Rieko;Kawashima, Ryuta
通讯作者：
Kawashima, Ryuta
影响因子：
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作者：
Baumgaertner, Ulf;Vogel, Hagen;Lenz, Fred
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作者：
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影响因子：
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作者：
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通讯作者：
LOUNASMAA, OV
影响因子：
3.4
作者：
HUANG, JC;NICHOLSON, C;OKADA, YC
通讯作者：
OKADA, YC