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.
|Title of host publication
|2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - Mar 2020
|2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Santa Fe, United States
Duration: Mar 29 2020 → Mar 31 2020
|Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
|2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020
|3/29/20 → 3/31/20
- Functional connectivity
- nicotine addiction
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Computer Science Applications