Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex.

Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex.
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DOI:
10.1038/s41598-022-05932-2
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发表时间:
2022-02-08
期刊:
影响因子:
4.6
通讯作者:
Haider B
Haider B
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Nsiangani A;Del Rosario J;Yeh AC;Shin D;Wells S;Lev-Ari T;Williams B;Haider B

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了解大脑功能需要对多个尺度和多个大脑区域的神经活动进行可重复的测量。在小鼠中,大规模的皮质神经活动引起血液动力学变化,这一变化很容易通过内部信号成像(ISI)观察到。将ISI与视觉刺激相结合,可以识别初级视觉皮质(V1)和高级视觉区域(HVAS),通常通过减薄或移除头骨的颅窗进行识别。这些程序可能会降低成像后几周到几个月进行精细电生理测量所需的长期机械和生理稳定性(例如,在接受行为训练的受试者中)。在这里,我们优化并直接在小鼠身上验证了一个完整的头骨ISI系统。我们首先评估了成像质量和持续时间如何影响V1和HVAS视网膜定位图的可靠性。然后,我们在成像几周后,通过靶向、多部位电生理学验证了V1和HVAS的ISI图谱视网膜复制。 ~ 60次成像(65 ± 6min)显示了可靠的V1和多发HVA的ISI图,并与皮质浅层的局部场电位视网膜电位图(R2 = 0.74~0.82)有很强的相关性。因此,该系统非常适合成像后数周至数月的靶向、多区域电生理学检查。我们为其他研究人员实现该系统提供了详细的说明和代码。
Understanding brain function requires repeatable measurements of neural activity across multiple scales and multiple brain areas. In mice, large scale cortical neural activity evokes hemodynamic changes readily observable with intrinsic signal imaging (ISI). Pairing ISI with visual stimulation allows identification of primary visual cortex (V1) and higher visual areas (HVAs), typically through cranial windows that thin or remove the skull. These procedures can diminish long-term mechanical and physiological stability required for delicate electrophysiological measurements made weeks to months after imaging (e.g., in subjects undergoing behavioral training). Here, we optimized and directly validated an intact skull ISI system in mice. We first assessed how imaging quality and duration affect reliability of retinotopic maps in V1 and HVAs. We then verified ISI map retinotopy in V1 and HVAs with targeted, multi-site electrophysiology several weeks after imaging. Reliable ISI maps of V1 and multiple HVAs emerged with ~ 60 trials of imaging (65 ± 6 min), and these showed strong correlation to local field potential (LFP) retinotopy in superficial cortical layers (r2 = 0.74–0.82). This system is thus well-suited for targeted, multi-area electrophysiology weeks to months after imaging. We provide detailed instructions and code for other researchers to implement this system.
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