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Abstract #4932

Evaluation of different multi-echo combinations on objective depression prognosis in an emotional face-matching task

Jesper Pilmeyer1,2, Rolf Lamerichs1,3, Faroeq Rahmat Ramsaransing1,2,4, Marcel Breeuwer1,5,6, and Svitlana Zinger1,2
1Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2Department of Research and Development, Epilepsy Centre Kempenhaeghe, Heeze, Netherlands, 3Philips Research, Eindhoven, Netherlands, 4Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, Netherlands, 5Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 6Philips Healthcare, Best, Netherlands

Synopsis

Keywords: Psychiatric Disorders, fMRI (task based), Multi-echo imagingObjective prognosis of major depressive disorder (MDD) based on functional MRI (fMRI) biomarkers remains problematic due an abundance of physiological and motion confounders. Multi-echo imaging enhances the BOLD sensitivity while reducing signal loss. Here, we evaluate the effect of different multi-echo combinations on MDD symptom improvement prediction in an emotional face-matching fMRI task. We demonstrate improved signal quality and activation contrast for multi-echo combinations in the amygdala and hippocampus and predict 3-months and 6-months MDD symptom improvement with 91% and 87% accuracy, respectively. These results highlight the benefits of novel multi-echo acquisitions for prognosis in psychiatric disorders.

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