@inproceedings{55468962c50b4b469b59b24c2498bdff,
title = "Identifying task-related brain functional states via cortical networks",
abstract = "A long standing goal of neuroscience studies has been to understand how brain functions are related to behavior. In this paper, we investigate changes in brain functional networks under two behavioral conditions (lick (L) and no-lick (NL)) across two frequency bands. Cortical activity in Thy1-GCaMP6s transgenic calcium reporter mice is recorded during L/NL activity experiments using widefield calcium imaging. We demonstrate how cortical connectivity can be used to identify behavior-related brain states. Connectivity links that significantly contribute to the network difference of L and NL behavioral conditions are spatially localized in two frequency bands. The effectiveness of cortical networks in predicting L and NL behavior are assessed using commonly-used classifiers. Results demonstrate that frequency-dependent cortical network analysis can be utilized to decode the brain states associated with behavior.",
author = "Shiva Salsabilian and Li Zhu and Lee, {Christian R.} and Margolis, {David J.} and Laleh Najafizadeh",
note = "Funding Information: This work was supported by NSF under grant CBET-1605646. Funding Information: This work was supported by NSF under grant CBET-1605646. We would like to thank Christopher O'Brien, Brian Ayers, and Joshua Samuels for their assistance in data acquisition and cleaning. Publisher Copyright: {\textcopyright} 2020 IEEE; 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 ; Conference date: 10-10-2020 Through 21-10-2020",
year = "2020",
language = "English (US)",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings",
address = "United States",
}