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http://hdl.handle.net/11375/27952
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DC Field | Value | Language |
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dc.contributor.advisor | MacKillop, James | - |
dc.contributor.author | Najdzionek, Peter | - |
dc.date.accessioned | 2022-10-07T16:14:07Z | - |
dc.date.available | 2022-10-07T16:14:07Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://hdl.handle.net/11375/27952 | - |
dc.description.abstract | PURPOSE: The triple-network model of psychopathology theorizes psychological disorders manifest from aberrant functional connectivity in three major brain networks, the central executive network, default mode network, and salience network. To date, no research has used this framework to investigate resting-state functional connectivity in cannabis users using fMRI technology. Since attentional deficits have been associated with cannabis use, the dorsal attention network was an additional network of interest. METHODS: Using Human Connectome Project Young Adults (HCP-YA) data, 34 CUD individuals were matched to 34 controls using propensity score matching, resulting in 68 participants with brain data (Mage: 27.2, 17.6% female). Functional connectivity was assessed using CONN, a MATLAB-based extension package for Statistical Parameter Mapping 12 (SPM12) dedicated to assessing and displaying functional connectivity using fMRI technology. A seed-to-voxel technique was used, with a priori regions of interest (ROI) derived from CONN’s library of ROI. Significant clusters exceeded a voxel threshold of p < .0001 FDR- correction, and p < .001 cluster threshold. RESULTS: CUD individuals had aberrant functional connectivity across the default mode network, salience network, and dorsal attention network. A consistent finding across networks was weaker anti-correlation with the occipital cortex. Both the default mode network and dorsal attention network exhibited weaker positive connectivity with surrounding areas and pre-/post- central gyrus. The salience network in CUD individuals uniquely exhibited greater connectivity, with greater positive connectivity between the right supramarginal gyrus and left inferior frontal gyrus / precentral gyrus / central opercular cortex, and greater anti-correlation between the left insula and right postcentral gyrus. CONCLUSION: The triple-network approach to CUD revealed systemic differences across networks; but may not be the best model for understanding CUD biomarkers. The results highlight functional brain connectivity with problematic cannabis usage. | en_US |
dc.subject | resting state | en_US |
dc.subject | cannabis | en_US |
dc.subject | CUD | en_US |
dc.subject | cannabis use disorder | en_US |
dc.subject | fMRI | en_US |
dc.subject | functional connectivity | en_US |
dc.subject | triple-network | en_US |
dc.title | Investigating Resting State Functional Connectivity in Cannabis Use Disorder Individuals Using Human Connectome Project Data | en_US |
dc.type | Thesis | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
dc.description.layabstract | Cannabis Use Disorder (CUD) is the recent Diagnostic and Statistical Manual diagnosis for problematic cannabis use. Cannabis is known to impact both cognition and the structure of the brain, but the underpinnings of CUD are unknown. One historically successful approach to investigating psychological disorders is evaluating patterns of associations at rest in three distinct brain networks: the task positive, default mode, and salience networks. These networks are integral to cognitive control and function. Using Human Connectome Project Young Adult (HCP-YA) data, these brain networks were analysed in CUD individuals and healthy controls. Differences in brain activity were found across all three networks. The three brain networks in CUD individuals exhibited a regression to random activity within the occipital lobe, an area of the brain associated with vision. Additionally, the task-positive and default mode network in CUD individuals exhibited decreased brain activity within the respective networks. | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Najdzionek_Peter_T_FinalSubmission2022Sep_MSc.pdf | 1.64 MB | Adobe PDF | View/Open |
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