@inproceedings{5255920827f540cdbfcb982b49defc54,
title = "Nicotine Addiction Decreases Dynamic Connectivity Frequency in Functional Magnetic Resonance Imaging",
abstract = "Abnormal functional network connectivity has been related to nicotine addiction where similar patterns of dysfunction were found after applying dynamic or static connectivity methods. Further developments indicate that connectivity patterns might also exhibit a dysfunctional frequency spectrum. This work employs a quasi-stable time-varying functional connectivity framework to explore frequency effects related to nicotine use. Results suggest that nicotine abstinence in addicted subjects is linked to a frequency decrease of resting state connectivity fluctuations. This effect was found in one out of four quasi-stable connectivity states.",
keywords = "Functional connectivity, fMRI, nicotine addiction",
author = "Vergara, {Victor M.} and Calhoun, {Vince D.}",
note = "Funding Information: This work was supported by grants from the National Institutes of Health grant numbers 2R01EB005846, R01REB020407, and P20GM103472; and the National Science Foundation (NSF) grants 1539067/1631819 to VDC. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 ; Conference date: 29-03-2020 Through 31-03-2020",
year = "2020",
month = mar,
doi = "10.1109/SSIAI49293.2020.9094610",
language = "English (US)",
series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "34--37",
booktitle = "2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Proceedings",
}