Abstract
The localization and measurement of neuronal activity magnitude at high spatial and temporal resolution are essential for mapping and better understanding neuronal systems and mechanisms. One such example is the generation of retinotopic maps, which correlates localized retinal stimulation with the corresponding specific visual cortex responses. Here we evaluated and compared seven different methods for extracting and localizing cortical responses from voltage-sensitive dye imaging recordings, elicited by visual stimuli projected directly on the rat retina by a customized projection system. The performance of these methods was evaluated both qualitatively and quantitatively by means of two cluster separation metrics, namely, the (adjusted) Silhouette Index (SI) and the (adjusted) Davies-Bouldin Index (DBI). These metrics were validated using simulated data, which showed that Temporally Structured Component Analysis (TSCA) outperformed all other analysis methods for localizing cortical responses and generating high-resolution retinotopic maps. The analysis methods, as well as the use of cluster separation metrics proposed here, can facilitate future research aiming to localize specific activity at high resolution in the visual cortex or other brain areas.
Original language | English |
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Article number | 713538 |
Journal | Frontiers in Cellular Neuroscience |
Volume | 15 |
DOIs | |
State | Published - 21 Sep 2021 |
Bibliographical note
Publisher Copyright:© Copyright © 2021 Carmi, Gross, Ivzan, Franca, Farah, Zalevsky and Mandel.
Funding
This project was supported by the Israeli Science Foundation (ISF), ERC starter grant 755748, Israeli Ministry of Defense, and Israeli Ministry of Science and Technology.
Funders | Funder number |
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European Commission | 755748 |
Israel Science Foundation | |
Ministry of science and technology, Israel | |
Ministry of Defense |
Keywords
- cluster evaluation
- retinotopic mapping
- signal processing
- visual cortex (V1)
- voltage sensitive dye imaging