Xavier University of Louisiana XULA Digital Commons Festival of Scholars 2021 Tracking Functional Connectivity using Dynamic Independent Component Analysis During Meditation Aalliyah Celestine Xavier University of Louisiana Tahlia Korin Tulane University Jeremy Cohen Ph.D Xavier University of Louisiana Wendy Hasenkamp Ph.D Emory University Follow this and additional works at: https://digitalcommons.xula.edu/xula_fos Part of the Mental and Social Health Commons, Public Health Commons, and the Social and Behavioral Sciences Commons Recommended Citation Celestine, Aalliyah; Korin, Tahlia; Cohen, Jeremy Ph.D; and Hasenkamp, Wendy Ph.D, "Tracking Functional Connectivity using Dynamic Independent Component Analysis During Meditation" (2021) Festival of Scholars 14 https://digitalcommons.xula.edu/xula_fos/14 This Book is brought to you for free and open access by XULA Digital Commons It has been accepted for inclusion in Festival of Scholars by an authorized administrator of XULA Digital Commons For more information, please contact ksiddell@xula.edu Tracking Functional Connectivity using Dynamic Independent Component Analysis During Meditation Aalliyah Celestine¹, Tahlia Korin², Jeremy Cohen Ph.D¹, Wendy Hasenkamp Ph D³ Xavier University of Louisianaạ, Tulane University, Emory University Results Background / Introduction ã • Implement CONN or GIFT interface to see which processing toolbox most effectively utilizes fMRI meditation data Meditation enhances emotional and mental clarity Focused attention (FA) meditation is the practice of gaining internal awareness of mental states Focused attention states are downregulated within the Default Mode Network (DMN), which is responsible for mind wandering, working memory, and self-reference Functional magnetic resonance imaging (fMRI) is a noninvasive tool used to study brain activity through changes in blood flow • • • • Run clinical trials using novel meditators to employ fMRI using a breath-focused meditation task to further analyze the functional networks modeled in the meditation process • Expand experiment to areas that are disproportionately affected by high levels of stress and lack resources to treat mental health issues We plan to extract data from fourteen fMRI-scanned meditation practitioners The meditation process was modeled into four intervals of component states: focused attention, mind wandering, awareness of mind wandering, and shifted attention • Results (cont’d) Our hypothesis is that we will decode a unique neural network to be activated within the focused attention states • (Top-right) Connectogram of FNC: A feature in GroupICATv4.0c which displays components within the same network (Default mode network, visual cortex, frontal lobe, etc.) • (Left of text) Figure of component map found in ICA report Methodology • • (Top-left) Illustrates the cyclical process of focused attention meditation Group ICA of fMRI toolbox (GIFT) : A MATLAB toolbox used to run group independent component analysis (GICA) Group ICA allows us to extract group- and single-subject fMRI data These signals of interest allow us to separate different neural activation patterns associated with each stage of the focused attention meditation process CONN: Is an open-source MATLAB computational software used to display and analyze functional connectivity magnetic resonance imaging (fcMRI) data • Standardized preprocessing pipeline • Future Endeavors Acknowledgements • We thank and acknowledge Dr Vince Calhoun and Dr Tulay Adali for the continued support and NIH under grant 1RO1EB000840 • A special thanks to the NIH BUILD program TL4GM118968 • “Software.” TReNDS, https://trendscenter.org/software/ Accessed 31 Marr 2021 • Hasenkamp, W et al., NeuroImage, 59(1), 750–760 https://doi.org/10.1016/j.neuroimage.2011.07.008 • Iraji, A et al., (2020, March 27) Tools of the trade: Estimating timevarying connectivity patterns from fMRI data https://doi.org/ 10.31234/osf.io/mvqj4 RESEARCH POSTER PRESENTATION DESIGN © 2019 www.PosterPresentations.com .. .Tracking Functional Connectivity using Dynamic Independent Component Analysis During Meditation Aalliyah Celestine¹, Tahlia Korin²,... and self-reference Functional magnetic resonance imaging (fMRI) is a noninvasive tool used to study brain activity through changes in blood flow • • • • Run clinical trials using novel meditators... • • • Run clinical trials using novel meditators to employ fMRI using a breath-focused meditation task to further analyze the functional networks modeled in the meditation process • Expand experiment