Cite DPABISurf

Cite DPABISurf

If you used DPABISurf in your data processing, citing it in your paper would be greatly appreciated.

Yan, C.-G., Wang, X.-D., Lu, B. (2021). DPABISurf: data processing & analysis for brain imaging on surface. Sci Bull, 66(24), 2453-2455, doi: https://doi.org/10.1016/j.scib.2021.09.016

Something like "... The surface-based analysis was performed using the toolbox for Data Processing & Analysis for Brain Imaging on Surface (DPABISurf) (Yan et al., 2021), which is based on fMRIPrep (Esteban et al., 2019), FreeSurfer (Dale et al., 1999), ANTs (Avants et al., 2008), FSL (Jenkinson et al., 2002), AFNI (Cox, 1996), SPM (Ashburner, 2012), dcm2niix (Li et al., 2016), PALM (Winkler et al., 2016), GNU Parallel (Tange, 2011), MATLAB (The MathWorks Inc., Natick, MA, US), Docker (https://docker.com) and DPABI (Yan et al., 2016). "

Ashburner, J. (2012). SPM: a history. Neuroimage, 62(2), 791-800, doi:10.1016/j.neuroimage.2011.10.025.

Avants, B.B., Epstein, C.L., Grossman, M., Gee, J.C. (2008). Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med Image Anal, 12(1), 26-41, doi:10.1016/j.media.2007.06.004.

Cox, R.W. (1996). AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res, 29(3), 162-173.

Dale, A.M., Fischl, B., Sereno, M.I. (1999). Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage, 9(2), 179-194, doi:10.1006/nimg.1998.0395.

Esteban, O., Markiewicz, C.J., Blair, R.W., Moodie, C.A., Isik, A.I., Erramuzpe, A., Kent, J.D., Goncalves, M., DuPre, E., Snyder, M., Oya, H., Ghosh, S.S., Wright, J., Durnez, J., Poldrack, R.A., Gorgolewski, K.J. (2019). fMRIPrep: a robust preprocessing pipeline for functional MRI. Nat Methods, 16, 111-116, doi:10.1038/s41592-018-0235-4.

Jenkinson, M., Bannister, P., Brady, M., Smith, S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage, 17(2), 825-841.

Li, X., Morgan, P.S., Ashburner, J., Smith, J., Rorden, C. (2016). The first step for neuroimaging data analysis: DICOM to NIfTI conversion. J Neurosci Methods, 264, 47-56, doi:10.1016/j.jneumeth.2016.03.001.

Tange, O. (2011). Gnu parallel-the command-line power tool. The USENIX Magazine, 36(1), 42-47.

Winkler, A.M., Ridgway, G.R., Douaud, G., Nichols, T.E., Smith, S.M. (2016). Faster permutation inference in brain imaging. Neuroimage, 141, 502-516, doi:10.1016/j.neuroimage.2016.05.068.

Yan, C.-G., Wang, X.-D., Lu, B. (2021). DPABISurf: data processing & analysis for brain imaging on surface. Sci Bull, 66(24), 2453-2455, doi: https://doi.org/10.1016/j.scib.2021.09.016.

Yan, C.G., Wang, X.D., Zuo, X.N., Zang, Y.F. (2016). DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. Neuroinformatics, 14(3), 339-351, doi:10.1007/s12021-016-9299-4.

(You can have the Endnote information of the references from the attached word document.)