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This research investigates the electrophysiological correlates of self-blaming bias in individuals with Major Depressive Disorder (MDD) and its association with recurrence risk. The study includes 70 participants with current or past MDD and an additional group of 35 without depression history. Using EEG and fMRI, we aim to identify brain signals that differentiate patients prone to recurrence from stable individuals. The ultimate goal is to develop a neurofeedback paradigm to normalize these signals, thus potentially preventing future depressive episodes.
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Electrophysiological correlates of self-blaming bias and associated vulnerability to depression Jennifer Gethin PhD Student School of Psychological Sciences Dr. Roland Zahn, Professor Wael El-Deredy, Dr. Karen Lythe
Major Depressive Disorder (MDD) • Mood disorder • High lifetime prevalence • Tends to be episodic • Past episode increases risk for future episode • Need to predict/prevent recurrence • Currently no functional neuroimaging marker to predict recurrence
Guilt • Common symptom of depression • ‘Pathological guilt’ • Excessive • Inappropriate • Generalised
PhD project • 70 participants with MDD (currently remitted) • 35 participants without history of depression • Emotional judgement task • fMRI • EEG • Longitudinal 14-month study • ~35 with recurrence of symptoms • ~35 remain stable
Aim • Identify signals which differ: • control and patient groups • stable and recurrence groups • Use source localisation to locate where signal of interest originates
Source analysis • Inverse problem – infinite solutions • Constrain EEG analysis using fMRI analysis as a guide • Known anatomical areas of interest from previous fMRIstudy and current study • Bayesian methodology
Ultimate aim • Neurofeedback paradigm • Normalise signal to prevent recurrence • EEG is cheap and widely available