Rezayat Ehsan, Heidari-Gorji Hamed, Narimani Pouya, Shayanfar Farzad, Noroozi Jalaledin, Shahbazi Ebrahim, Ertiaei Abolhassan, Dehaqani Mohammad-Reza A
Department of Psychology, Faculty of Psychology and Education, University of Tehran, Tehran, Iran.
School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Niavaran, Tehran, Iran.
Heliyon. 2023 Jan 4;9(1):e12675. doi: 10.1016/j.heliyon.2022.e12675. eCollection 2023 Jan.
Imaging-guided access to the brain has become a routine procedure for various research and clinical applications, including drug administration, neurophysiological recording, and sampling tissue. Therefore, open-source software is required to handle such datasets in these specific applications.
Here, we proposed an open-source tool utilizing different imaging modalities for automating the steps to access the brain. This tool provides means for easily calculating the coordination of the area of interest concerning a specific point of entry. The source and documentation are available at this link.
We have used this software for three different applications: electrophysiological recording, drug infusion in the nonhuman primate brain, and guided biopsy procedure in the human brain. We performed a neural recording of two monkeys' prefrontal cortex and inferior temporal cortex using this software in submillimeter resolution. We also applied our procedure for infusion in the putamen and caudate nuclei in both hemispheres of another group of rhesus monkeys with histological proof in one animal. More so, we validated this software in the human subjects that underwent biopsy surgery with the commercial software used in human biopsy surgery.
Our software uses different imaging modalities by co-registering them. This will provide structural details of the skull and brain tissue. We can calculate each brain region's coordination at the point of entry by re-slicing the images. Atlas-based image segmentation were implemented in our software. Three mentioned applications of our software in neuroscience will be further discussed in this paper.
In our procedure, working with different imaging modalities provides a precise estimation of the specific region in the brain related to the location of implants or stereotaxic frames. There is no limitation to using metal implants in this procedure.
影像引导下的脑部介入已成为各种研究和临床应用的常规操作，包括药物给药、神经生理学记录和组织采样。因此，在这些特定应用中需要开源软件来处理此类数据集。
在此，我们提出了一种利用不同成像模态的开源工具，用于自动执行脑部介入步骤。该工具提供了轻松计算与特定进入点相关的感兴趣区域坐标的方法。源代码和文档可通过此链接获取。
我们已将此软件用于三种不同的应用：电生理记录、非人灵长类动物脑部的药物输注以及人类脑部的引导活检程序。我们使用此软件以亚毫米分辨率对两只猴子的前额叶皮层和颞下皮层进行了神经记录。我们还将我们的输注程序应用于另一组恒河猴双侧的壳核和尾状核，并在一只动物中获得了组织学证据。此外，我们在接受活检手术的人类受试者中使用人类活检手术中使用的商业软件对该软件进行了验证。
我们的软件通过共同配准使用不同的成像模态。这将提供颅骨和脑组织的结构细节。我们可以通过重新切片图像来计算每个脑区在进入点的坐标。我们的软件中实现了基于图谱的图像分割。本文将进一步讨论我们软件在神经科学中的上述三种应用。
在我们的程序中，使用不同的成像模态可以精确估计与植入物或立体定向框架位置相关的脑内特定区域。此程序中使用金属植入物没有限制。
