Clinical Research Directory

Network Neurofeedback Using 7-Tesla MRI to Reduce Rumination Levels in Depression

Sponsor: Icahn School of Medicine at Mount Sinai

Summary

Patients with major depressive disorder (MDD) exhibit increased levels of rumination (i.e. repetitive thinking and focus on negative mood states) which have been found to increase the risk of depressive relapse. The ability to reduce rumination levels among these patients is greatly needed. Rumination is known to be associated with the default mode network (DMN) region activity. Implementing the Dependency Network Analysis (DEPNA), a recently developed method by the research team to quantify the connectivity influence of network nodes, found that rumination was significantly associated with lower connectivity influence of the left medial orbitofrontal cortex (MOFC) on the right precuneus, both key regions within the DMN. This study implements the first real-time fMRI neurofeedback (Rt-fMRI-NF) network-based protocol for up-regulation of the MOFC influence on the precuneus in patients with MDD to reduce rumination levels. This will allow for more accurate explicit brain connections modulation than the standard single brain region activity; creating a larger opportunity for target clinical neuromodulation treatment in individuals with MDD.

Official title: Network-based Real-time Neurofeedback Using Ultra-high Field MRI to Reduce Rumination Levels in Depression

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