Using Functional MRI Neurofeedback to Modulate Self-blame in Major Depressive Disorder

Background

Low self-worth has been identified as a core cognitive symptom of major depressive disorder. Interestingly, brain activity markers of low self-worth remain somewhat present even after symptomatic remission. Consequently, these brain signatures could potentially be used to predict relapse. Low self-worth is thought to be underpinned by overgeneralised self-blame, where an individual shows a bias towards emotions of guilt and worthlessness, as opposed to indignation (the blame of others). Unfortunately, many current treatments for MDD do not address low self-worth specifically, and this might result in patients not responding as well as they could. Therefore, it would be beneficial to further investigate which areas of the brain are responsible for regulating excessive self-blaming emotions, in order to develop more targeted therapies and tools for managing the disorder.

In this study, the investigators will use a brain-scanning technique called 'fMRI neurofeedback' with a group of (current) MDD patients to try to change brain activity, in a specific region associated with self-blaming emotions, towards a healthier pattern. To clarify, in fMRI the brain is scanned to provide functional data (i.e. which brain regions are more / less active during a certain condition or task). fMRI with neurofeedback, however, is a relatively recent approach, which aims to show patients their fMRI data in real-time, while they are still in the scanner. Of course, this is presented to the patient in a simplified and abstracted form, such as a thermometer reading, whereby the thermometer level changes based on changes in brain activity. In this way, patients can learn to modulate their own brain activity in real-time towards healthier or more optimal patterns.

Previous neurofeedback studies of self-blame have instead used a target that is based on the functional connectivity dynamics between the right superior anterior temporal lobe (ATL) and the subgenual cingulate cortex (SCC). Whilst ATL-SCC connectivity has proven to be a good biomarker of self-blame, results concerning which direction is therapeutic (i.e. higher or lower connectivity) have been conflicting. Even when looking at SCC activity in isolation, the results are in opposition: some studies have suggested that minimizing differences in SCC activity between self-blame and other-blame conditions is beneficial, whereas recent unpublished findings suggest the reverse to be true (Fennema et al.). Consequently, there is a clear need to clarify which training direction is most therapeutic for MDD patients before the field rushes ahead. Conceivably, it is more straightforward to do this for the SCC in isolation, rather than for a pair of regions or a wider network, given that there will be a stronger and more reproducible response. Therefore, the current study will use activity in the SCC region as the sole neurofeedback target, in the interest of safety, simplicity and clarity.

The investigators will investigate two different neurofeedback designs, involving the SCC, in two different MDD patient groups to test which is most therapeutic for MDD patients. One group will be encouraged to increase differences in SCC activity between guilt and indignation conditions, and the other group will be encouraged to minimize differences. Both of these training directions, while different to each other, represent activation patterns that have been observed in healthy control populations (Zahn et al., 2009; Green et al., 2012; Fennema et al. (unpublished)). Therefore, the investigators are confident that neither intervention will incur any significant worsening of symptoms. Instead, the investigators hypothesize that both groups will be able to self-modulate activity in this region towards the target level and that, in at least one of the groups, this will be associated with improvements in self-worth ratings. As this study includes patients with current depression, rather than remitted depression, findings from this study will be more relevant to the ultimate target patient population.