Abstract #1790

Fractional anisotropy spatial covariance analysis in Parkinson’s disease suggests a disease related degeneration pattern

Xingfeng Li^1,2, Yue Xing^1,2, Antonio Martin Bastida³, Stefan Schwarz^1,2, Piccini Paola³, Dorothee P. Auer^1,2, and Xingfeng Li and Yue Xing⁴

¹Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, ²Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, ³Centre for Neurodegeneration and Neuroinflammation, Imperial College London, London, United Kingdom, ⁴Both authors contributed equally.

Parkinson’s disease (PD) is characterised by disrupted functional and structural brain networks. Structural network changes are thought to better reflect progression of the neurodegeneration. To study the pattern of neurodegeneration in Parkinson’s disease (PD), we investigated the correlation pattern of fractional anisotropy (FA) with substantia nigra (SN) using a structural covariance analysis method. We also correlated FA maps with the unified Parkinson's disease rating scale (UPDRS); we found a disruption of SN covariance FA maps in PD compared to controls. Moreover, disease severity was significantly correlated with FA in cerebellar and anterior cingulate cortex (ACC).

This abstract and the presentation materials are available to members only; a login is required.

Join Here