1 / 7

Electrophysiological correlates of self-blaming bias and associated vulnerability to depression

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

efuru
Download Presentation

Electrophysiological correlates of self-blaming bias and associated vulnerability to depression

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 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

  2. 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

  3. Guilt • Common symptom of depression • ‘Pathological guilt’ • Excessive • Inappropriate • Generalised

  4. 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

  5. Aim • Identify signals which differ: • control and patient groups • stable and recurrence groups • Use source localisation to locate where signal of interest originates

  6. 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

  7. Ultimate aim • Neurofeedback paradigm • Normalise signal to prevent recurrence • EEG is cheap and widely available

More Related