Abstract #3988

Clinical correlations of iron-rich deep grey matter of MS patients

Ibrahim Khormi^1,2, Oun Al-iedani^1,2, Amir Fazlollahi^2,3, Bryan Paton^2,4, Jeannette Lechner-Scott^2,4,5, Abdulaziz Alshehri^1,2, Kieran O'Brien^6,7, Steffen Bollmann⁸, Rishma Vidyasagar⁹, Scott Ayton⁹, Anne-Louise Ponsonby^9,10, and Saadallah Ramadan^1,2

¹School of Health Sciences, University of Newcastle, Newcastle, Australia, ²Hunter Medical Research Institute, Newcastle, Australia, ³CSIRO Health and Biosecurity, Brisbane, Australia, ⁴University of Newcastle, Newcastle, Australia, ⁵John Hunter Hospital, Newcastle, Australia, ⁶Siemens Healthcare Pty Ltd, Brisbane, Austria, ⁷ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia, ⁸The University of Queensland, Brisbane, Australia, ⁹The Florey Institute of Neuroscience & Mental Health, Parkville, Australia, ¹⁰Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, Australia

This novel study compared quantitative magnetic susceptibility signal of deep grey matter (DGM) structures in the MS brain. We evaluated the QSM metrics in selected deep grey matter regions in 5 RRMS patients and 9 matched HCs. The STI suite software package was used for QSM image reconstruction. Compared to a reference region in HCs, a significant susceptibility change was detected in most DGM regions showing statistically significant RRMS cohort differences. QSM metrics in caudate showed strong correlations with depression scores, while pallidum and thalamus correlated significantly with anxiety. While results are limited due to small numbers, they provide the opportunity for further investigation in larger cohorts and strengthen these preliminary results.

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