Kenning, Jacob (2024) Can baseline performance metrics on a SART predict the effectiveness of mindfulness and positive fantasizing at reducing perseverative cognition within rMDD and ND patients? Bachelor's Thesis, Artificial Intelligence.
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Abstract
Given the significant challenge Major Depressive Disorder (MDD) poses in our global society, both in its prevalence and sinister ability to plague people on and off, it is paramount to find approaches and intervention techniques to prevent people from relapsing and keeping these thoughts of perseverative cognition - characterized as ruminative, negatively-valenced thought - at bay. To this end, this study investigated the effects of two types of intervention, mindfulness and positive fantasizing, on participants’ performance at a sustained attention response task (SART), the participants being either remitted MDD patients (rMDD) or never-depressed individuals. The results highlighted distinct intervention impacts; fantasizing significantly reduced response times (RTs) in the ND control group, whilst mindfulness reduced RTs, improved self-reported on-task thinking in the rMDD group, and also increased SART accuracy in the control group. These findings suggest that the interventions succeed at reducing mind-wandering and increase attention, both of which are important factors of maintaining one’s mental health and reducing the risk of a depressive relapse.
Item Type: | Thesis (Bachelor's Thesis) |
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Supervisor name: | Vugt, M.K. van and Besten, M.E. |
Degree programme: | Artificial Intelligence |
Thesis type: | Bachelor's Thesis |
Language: | English |
Date Deposited: | 14 Aug 2024 13:58 |
Last Modified: | 14 Aug 2024 13:58 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/33962 |
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