Drosophila Brain Functional Data Analysis: A Unified Framework
Journal
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Journal Volume
2020-July
Start Page
1088
End Page
1091
ISSN
1557170X
ISBN (of the container)
9.78E+12
Date Issued
2020
Author(s)
Chang, Wei
Hsiao, Ching-Chun
Lin, Yen-Yin
Swindlehurst, A. Lee
Chu, Shi-Wei
Chiang, Ann-Shyn
Wu, Shun-Chi
Abstract
A unified framework for the analysis of fluorescence data taken by a two-photon imaging system is presented. As in the processing of blood-oxygen-level-dependent signals of functional magnetic resonance imaging, the acquired functional images have to be co-registered with a structural brain atlas before delineating the regions activated by a given stimulus. The voxels whose calcium traces are highly correlated with the predicted responses are demarcated without the need for subjective reasoning. Experimental data acquired while presenting olfactory stimuli are used to demonstrate the efficacy of the proposed schemes. The results indicate that the functional images of a Drosophila individual can be normalized into a standard stereotactic space, and the expected brain regions can be delineated adequately. This framework provides an opportunity to enable the development of a Drosophila functional connectome database. © 2020 IEEE.
Event(s)
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
Publisher
Institute of Electrical and Electronics Engineers Inc.
Description
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, 20 July 2020 through 24 July 2020, Montreal
Type
conference paper