INDI data

Source

      MILHAM, Michael P., et al. "An Open Resource for Non-human Primate Imaging". Neuron, 2018.
      

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      SRC files

Methods:

      PRIME-DE data aggregation is carried out through the International Neuroimaging Data-sharing Initiative (INDI)(Mennes et al. 2013) portal located at the NeuroimagingInformatics Tools and Resources Clearinghouse (NITRC)(http://fcon_1000.projects.nitrc.org/indi/indiPRIME.html). 

      The diffusion MRI were acquired using the following parameters for different acquisition sites:

FA (°) TE (ms) TR (ms) Note
AMU 78 87.6 7520 64 b1000, 6 b300, 5 b0
ECNU (K) 90 113 4600 100 b1000, 5 b0
Mount Sinai (P) 117 11000 120 b1000, 1 b0
Mount Sinai (S) 7 95 5000 26 b1005, 5 b1010, 21 b995, 9 b990, 15 b10
Princeton 9 83 7200 50 b2500, 25 b1250, 2 b0
UC Davis 115 6400 b800, b1600
Univ of Minnesota (UWO) 50 18.8 1000 8 b10, 24 b1490, 25 b1495,23 b1500, 22 b1505, 25 b1510, 5 b1515 

       The gradient distortion were corrected using two different phase encoding scans. The diffusion data were reconstructed using generalized q-sampling imaging (Yeh et al., IEEE TMI, ;29(9):1626-35, 2010) with a diffusion sampling length ratio of 1. The restricted diffusion was quantified using restricted diffusion imaging (Yeh et al., MRM, 77:603–612 (2017)).


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