Evaluation and Optimization of Methods for Generating High-Resolution Retinotopic Maps Using Visual Cortex Voltage-Sensitive Dye Imaging

Ori Carmi, Adi Gross, Nadav Ivzan, Lamberto La Franca, Nairouz Farah, Zeev Zalevsky, Yossi Mandel

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number713538
JournalFrontiers in Cellular Neuroscience
Volume15
DOIs
StatePublished - 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.

FundersFunder number
European Commission755748
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

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