Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

作者： Hana Uhlirova1,2, Peifang Tian3,4, Kıvılcım Kılıç3,5, Martin Thunemann1, Vishnu B. Sridhar6, Radim Chmelik2,7, Hauke Bartsch1, Anders M. Dale1,3, Anna Devor1,3,8, Payam A. Saisan3 1Department of Radiology,University of California, San Diego, 2Central European Institute of Technology,Brno University of Technology, 3Department of Neurosciences,University of California, San Diego, 4Department of Physics,John Carroll University, 5Department of Biomedical Engineering,Boston University, 6Bioengineering Undergraduate Program,University of California, San Diego, 7Institute of Physical Engineering, Faculty of Mechanical Engineering,Brno University of Technology, 8Martinos Center for Biomedical Imaging,Massachusetts General Hospital, Harvard Medical School

简介：

Overview

This study presents the Neurovascular Network Explorer 2.0 (NNE 2.0), a MATLAB-based graphical user interface designed for exploring a database of optogenetically-induced vascular responses in the mouse somatosensory cortex. Utilizing 2-photon microscopy, the software allows users to visualize and analyze vascular diameter changes, facilitating deeper insights into brain function and vascular responses.

Key Study Components

Area of Science

• Neuroscience
• Optogenetics
• Imaging Techniques

Background

• The study focuses on vascular responses in the mouse somatosensory cortex.
• 2-photon microscopy provides high-resolution imaging of vascular changes.
• Understanding vascular dynamics is essential for deciphering brain function and pathology.
• The NNE 2.0 interface is aimed at enhancing data sharing within the research community.

Purpose of Study

• To develop a user-friendly tool for exploring optogenetically-evoked vascular measurements.
• To allow for selection, visualization, and export of vascular response data.
• To promote data sharing and standardized data processing for further research.

Methods Used

• The platform utilized is a MATLAB-based software interface.
• The biological model involves optogenetically-induced changes in mouse vasculature.
• Key functionalities include 3D visualization of vascular networks and time course analysis.
• Users can select data based on various parameters such as cortical depth and diameter range.
• The interface facilitates data averaging and export for further analysis.

Main Results

• Users can visualize individual and group average time courses of vascular responses.
• The NNE 2.0 allows for detailed analysis of the onset times, amplitudes, and diameters.
• Data can be grouped and averaged based on parameters like cortical depth and branching order.
• The software enhances the understanding of stimulus-induced vasomotion within vascular trees.

Conclusions

• The NNE 2.0 demonstrates an innovative approach to sharing and analyzing vascular response data.
• It enables researchers to visualize relationships within vascular networks, enhancing experimental data utilization.
• This tool has implications for understanding vascular dynamics in neuroscience and potential applications in various studies.

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