Introduction

The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) is a large-scale collaborative research project at the University of Cambridge.

License

The derived files (SRC, FIB) are shared under the original CamCAN agreement

Users should follow the original agreement that requires (1) non-comercial usage, (2) open-access publication, and (3) acknowledgement of CamCAN repository (Taylor et al., 2016, Shafto et al., 2015).

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Figure: the left arcuate fasciculus of the first CamCAN subject mapped using DSI Studio’s automatic fiber tracking

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Methods

A multishell diffusion scheme was used, and the b-values were 1,000 and 2,000 s/mm2. The number of diffusion sampling directions were 30 and 30, respectively. The in-plane resolution was 2 mm. The slice thickness was 2 mm. The b-table was checked by an automatic quality control routine to ensure its accuracy (Schilling et al. MRI, 2019) . 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 1.25. This analysis used Bridges-2 at Pittsburgh Supercomputer Center through allocation CIS200026 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program (Boerner TJ, Deems S, Furlani TR, Knuth SL, Towns J. Access: Advancing innovation: Nsf’s advanced cyberinfrastructure coordination ecosystem: Services & support. InPractice and Experience in Advanced Research Computing 2023 Jul 23 pp. 173-176).