Spatial contribution of hippocampal BOLD activation in high-resolution fMRI

Spatial contribution of hippocampal BOLD activation in high-resolution fMRI
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DOI:
10.1038/s41598-019-39614-3
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发表时间:
2019-02-28
期刊:
影响因子:
4.6
通讯作者:
Ciobanu, Luisa
Ciobanu, Luisa
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Abe, Yoshifumi;Tsurugizawa, Tomokazu;Ciobanu, Luisa

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虽然BOLD-fMRI信号的血管起源已经确定,但对该信号的确切神经血管耦合事件仍不完全了解。此外,虽然电生理学方法已经揭示了神经活动的精确空间模式,但BOLD激活的海马空间特性尚未阐明。高磁场fMRI提供了更好的对比度,并允许与潜在的神经元活动更好的相关性,因为小血管的BOLD信号的贡献增加。在这里,我们利用这两个好处,研究海马激活的空间特征在大鼠模型之前和之后改变海马可塑性的长时程增强(LTP)。结果发现,电刺激穿通通路引起的海马BOLD信号在海马CA 1区辐射层比锥体细胞层增加更多。LTP诱导后,海马BOLD激活恢复到基线的时间较诱导前延长,这很可能是由于血管或神经血管偶联的变化。基于这些结果,我们得出结论,高分辨率BOLD-fMRI允许分离海马子字段可能是基于其潜在的血管或神经血管耦合功能。
While the vascular origin of the BOLD-fMRI signal is established, the exact neurovascular coupling events contributing to this signal are still incompletely understood. Furthermore, the hippocampal spatial properties of the BOLD activation are not elucidated, although electrophysiology approaches have already revealed the precise spatial patterns of neural activity. High magnetic field fMRI offers improved contrast and allows for a better correlation with the underlying neuronal activity because of the increased contribution to the BOLD signal of small blood vessels. Here, we take advantage of these two benefits to investigate the spatial characteristics of the hippocampal activation in a rat model before and after changing the hippocampal plasticity by long-term potentiation (LTP). We found that the hippocampal BOLD signals evoked by electrical stimulation at the perforant pathway increased more at the radiatum layer of the hippocampal CA1 region than at the pyramidal cell layer. The return to the baseline of the hippocampal BOLD activation was prolonged after LTP induction compared with that before most likely due vascular or neurovascular coupling changes. Based on these results, we conclude that high resolution BOLD-fMRI allows the segregation of hippocampal subfields probably based on their underlying vascular or neurovascular coupling features.