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  1. Michal Rolinski1,2,
  2. Konrad Szewczyk-Krolikowski1,2,
  3. Ricarda AL Menke1,3,5,
  4. Nicola Filippini3,5,
  5. Verena Heise3,5,
  6. Giovanna Zamboni2,3,4,
  7. Gordon Wilcock4,
  8. Kevin Talbot1,2,
  9. Michele Hu1,2,
  10. Clare Mackay1,3,5
  1. 1Oxford Parkinson's Disease Centre
  2. 2Nuffield Department of Clinical Neurosciences
  3. 3Centre for Functional Resonance Imaging of the Brain
  4. 4Oxford Project to Investigate Memory and Ageing
  5. 5Department of Psychiatry, University of Oxford


Background Resting state functional MRI (RS-fMRI) has been shown by our group to be a promising tool in investigation early PD. In this study, we aimed to investigate the use of a RS-fMRI in differentiating participants with an alpha-synucleinopathy from healthy controls and patients with Alzheimer's disease (AD).

Methods RS-fMRI data were collected from thirty-two patents with early PD, eight patients with dementia with Lewy bodies (DLB), nineteen healthy controls and thirty-one patients with AD. Data-driven independent component analysis was used to derive the basal ganglia network, and connectivity values were extracted bilaterally from the caudate, putamen and pallidum.

Results Connectivity values within the three regions of interest were significantly lower in patients with PD relative to those with AD and healthy controls. When combined into a single connectivity score, these values successfully differentiated PD from controls (area under the curve (AUC)=0.83, p<0.001), PD from AD (AUC=0.77, p<0.001), and PD and DLB from AD and healthy controls (AUC=0.78, p<0.0001).

Conclusions We have demonstrated that RS-fMRI may be used to differentiate patients with early PD from healthy and disease controls. Our results hold promise for the use for the use of RS-fMRI as a biomarker in prodromal PD.


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