Nicotine Addiction Decreases Dynamic Connectivity Frequency in Functional Magnetic Resonance Imaging

Victor M. Vergara, Vince D. Calhoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages34-37
Number of pages4
ISBN (Electronic)9781728157450
DOIs
StatePublished - Mar 2020
Externally publishedYes
Event2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Santa Fe, United States
Duration: Mar 29 2020Mar 31 2020

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2020-March

Conference

Conference2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020
CountryUnited States
CitySanta Fe
Period3/29/203/31/20

Keywords

  • fMRI
  • Functional connectivity
  • nicotine addiction

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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