Table 2 Parameters of the MR imaging datasets.

From: Brain imaging signatures of neuropathic facial pain derived by artificial intelligence

Dataset

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Population

Parameters of imaging data

Local UHN dataset

3 T GE Signa HDx

TN, Chronic facial pain (n = 371)

T1: voxel size = 1 mm, matrix = 256 × 256, flip angle = 20°, FOV = 24 cm)

DWI: 60 or 30 diffusion gradient directions, 1 B0, b = 1000 s/mm2, voxel size = 3 mm, matrix = 256 × 256, flip angle = 90°

Recruited healthy control

3 T GE Signa HDx

Healthy population (n = 62)

T1: voxel size = 1 mm, matrix = 256 × 256, flip angle = 20°, FOV = 24 cm

DWI: 60 or 30 diffusion gradient directions, 1 B0, b = 1000 s/mm2, voxel size = 3 mm, matrix = 256 × 256, flip angle = 90°

Cam-CAN

3 T Siemens TIM Trio

Healthy population (n = 46)

T1: voxel size = 1 mm, matrix = 256 × 240, flip angle = 9°, FOV = 25.6 cm

DWI: 30 diffusion gradient directions, B0, b = 1000/2000s/mm2 (b1000 shell was used). voxel size = 2 mm

  1. Cam-CAN Cambridge Centre for Ageing and Neuroscience, DWI diffusion weighted imaging, FOV field of view, TN trigeminal neuralgia.