Abstract #5353

Optimised fMRI data acquisition to investigate amygdala subregional functional connectivity in depression

Sheryl L Foster^1,2, Ramon Landin-Romero^3,4, Sarah Lewis^5,6, Ana Rita Barreiros^4,7, Sophie Matis⁸, Anthony Harris^4,7, and Mayuresh S Korgaonkar^4,7

¹Radiology, Westmead Hospital, Dulwich Hill, Australia, ²Discipline of Medical Imaging Science, The University of Sydney, Camperdown, Australia, ³Brain and Mind Centre, The University of Sydney, Sydney, Australia, ⁴The University of Sydney, Sydney, Australia, ⁵Discipline of Medical Imaging Science, The University of Sydney, Sydney, Australia, ⁶Western Sydney University, Penrith, Australia, ⁷Brain Dynamics Centre, Westmead, Australia, ⁸Brain and Mind Centre, Sydney, Australia

Synopsis

Keywords:

Motivation: As specialist MRI radiographers, we have the expertise to develop, optimise and implement up-to-date acquisition protocols for researchers that are 'fit-for-purpose' for specific study endpoints

Goal(s): To investigate functional connectivity patterns of the amygdala subregions in depression using a specifically-optimised fMRI research protocol, including road-testing a novel 3D approach for comparison

Approach: This cross-sectional rs-fMRI study compared functional connectivity in treatment-resistant and treatment sensitive depression cohorts as well as a healthy control cohort

Results: Acquisition of optimised high-resolution fMRI BOLD data together with a subregional analysis approach can more accurately reveal amygdala neurocircuitry alterations between treatment-resistant and treatment-sensitive depression cohorts

Impact: To diagnose depression, clinicians currently rely on patients' self-reporting of their symptoms. Objective measures such as alterations in neurocircuitry can help differentiate patients who will respond to first-line pharmaceutical treatments from those for whom other treatments may be more beneficial

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