Introduction There is currently no objective method of monitoring progression of Parkinson’s disease (PD). We demonstrate resting-state magnetic resonance imaging (rs-MRI) as a potential biomarker of PD progression.
Methods 15 patients with idiopathic PD (age at baseline: mean±std, 66.43±7.16 years; follow-up: 69.46±7.09; Male, 10; H&Y baseline: 1.9±0.63; follow-up: 2.2±1.08) were recruited. Baseline and follow-up visits occurred 3.03± 0.18 years apart (Disease duration baseline: 3.61±1.33; follow-up: 6.64±1.38). (Disease severity: MDS-UPDRS-III baseline 27.17±15.28; follow-up: 35.53±16.45).
Image acquisition rs-MRI was performed using 3T GE 750 MRI; 32-channel head coil; TR=2000ms; TE=30ms; Eyes open, medicated.
Analysis An in-house optimised standardised pipeline was used based on FSL (1), MRIQC algorithm (2). Functional connectivity (FC) was derived from the following seeds (5 mm radius): primary motor cortex (M1), anterior and posterior putamen, caudate, supplementary motor area (SMA) and substantia nigra (SN). (Coordinates determined using AAL template and FSL atlas). Z score >2.3 used to report significance in a paired t test.
Results Overall, we found greater FC at baseline vs follow-up in the motor cortex and SN, while FC with the posterior putamen and SMA showed a dissociated pattern of increased and decreased FC changes with disease progression.
Conclusion Our preliminary analysis of a longitudinal dataset of >2 years mean duration show promising change patterns in line with progressive motor cortex and SN disconnection and complex putaminal and SMA disconnection.
Statistics from Altmetric.com
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.