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Home arrow Computer Science arrow Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016

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Procedure

Participants

Participants involved in this research were recruited from Parkinson’s Progression Markers Initiative (PPMI) [12]. Participants were tested and confirmed negative for any neurological disorders apart from PD. The participants’ PD status was confirmed by Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) and the loss of dopaminergic neurons were observed in DaTscans. Every participant involved in this research has signed informed written consents in order to share their unidentified clinical data to investigators. DWI images were obtained for 39 PD, 28 SWEDD and 21 normal age and sex matched were available from the baseline visit (Table 1).

Data Acquisition

Data used in the preparation of this paper was obtained from Parkinson’s Progression Markers Initiative (PPMI) database (www.ppmi-info.org/data/) [12]. This dataset was acquired on a 3 Tesla Siemens scanner, producing 64 DWI (repetition time = 7748 ms, echo time = 86 ms; voxel size: 2.0 x 2.0 x 2.0 mm3; field of view = 224 x 224 mm) at b = 1000 s/mm2 and one b0 image along with a 3D T1-weighted structural scan (repetition time = 8.2 ms, echo time = 3.7 ms; flip angle = 8°, voxel size: 1.0 x 1.0 x 1.0 mm3; field of view = 240 mm, acquisition matrix = 240 x 240).

Table 1 Baseline characteristics and clinical features in control and PD and SWEDD

Parkinson

SWEDD

Control

Sex ratio (male/female)

23/13

18/10

15/6

Age (yearsi SD)

63.11±8.74

61.28±9.73

61.38±7.11

UPRDS score (± SD)

20.27±8.87

15.51±7.08

-

Hoehn & Yahr score (± SD)

1.66±0.47

1.59±0.50

-

MOCA score (± SD)

27.33±2.05

26.82±2.55

28.Mil.1

Overview of method

Fig. 1 Overview of method

 
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