Comparing the predictiveness of reward learning and mind-wandering in depression

Winter, B.B. (2020) Comparing the predictiveness of reward learning and mind-wandering in depression. Bachelor's Thesis, Artificial Intelligence.

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Abstract

Depression is usually measured through either a self-report questionnaire or through a structured clinical interview with an expert, with both options having their own advantages and limitations. Different behavioral measures of depression have been proposed, such as reward learning and mind-wandering, but these have never been compared. This study compared the correlations between self-report depression questionnaire scores and data from tasks that quantified reward learning and mind-wandering. Reward learning was quantified through a task based on signal detection theory, and mind-wandering data came from a Sustained Attention to Response Task (SART). Both tasks contained aspects that correlated significantly with depression questionnaire scores, and could therefore be used in the prediction of these scores. Neither of the tasks could be used to predict the scores from all questionnaires and both cognitive functions seem to have their own strengths when trying to predict depression.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Vugt, M.K. van
Degree programme:	Artificial Intelligence
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	20 May 2020 08:56
Last Modified:	20 May 2020 08:56
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/21933

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