Data Sharing among LFCD Members/Guests/Collaborators

At this page, we share materials among LFCD members and with visitors as well as our collaborators. These materials include raw imaging data, preprocessed data, scripts for analyzing these data, manuscript drafts and research documents between labs.

Note: All data provided here are produced by the Connectome Computation System (CCS: Xu et al., 2015) pipeline developed by our lab. Please cite the CCS paper as following when you use these data and publish findings derived.

Xu T, Yang Z, Jiang L, Xing XX, Zuo XN*. A Connectome Computation System for Discovery Science of Brain. Science Bulletin. 2015; doi: 10.1007/s11434-014-0698-3.

Graph Matrices for Brain Connectomics

1000 Functional Connectomes Project: Here are the small graphs (or connectome matrices) from more than 1000 subjects of KFC project. Enjoy exploring them :) These matrices are served as a good resource of evaluation on the novel network metrics or tests of some new hypotheses in functional connectomics. Please see examples of work using this dataset in below. VNCM
[1] Rubinov M, Sporns O. Weight-conserving characterization of complex functional brain networks. Neuroimage. 2011 Jun 15;56(4):2068-79.
Pilot NKI Rockland Sample: These matrices are derived from a group of 126 healthy participants (demographics). Both dMRI and rfMRI are used to construct the connection matrices among parcels from two different brain parcellation templates: Destrieux2009 (info) and Yeo2011 (info). Three matrices are estimated to measure: 1) morphology (DA2009, YEO2011), 2) anatomical distance (DA2009, YEO2011), 3) time series (DA2009, YEO2011, DA2009-gs, YEO2011-gs) and 4) fiber matrix (DA2009, YEO2011). pilot
[1] Cao M, Wang JH, Dai ZJ, Cao XY, Jiang LL, Fan FM, Song XW, Xia MR, Shu N, Dong Q, Milham MP, Castellanos FX, Zuo XN, He Y. Topological organization of the human brain functional connectome across the lifespan. Dev Cogn Neurosci. 2014 Jan;7:76-93.
[2] Betzel RF, Byrge L, He Y, Goni J, Zuo XN, Sporns O. Changes in structural and functional connectivity among resting-state networks across the human lifespan. Neuroimage. 2011 Jun 15;56(4):2068-79.
Enhanced NKI Rockland Sample: These matrices are derived from a group of 316 healthy participants (demographics). These data types are same as above datasets but with multiband dMRI and rfMRI (three TRs) seuqences: 1) morphology (DA2009, YEO2011), 2) anatomical distance (DA2009, YEO2011), 3) time series (DA2009, YEO2011, DA2009-gs, YEO2011-gs) and 4) fiber matrix (DA2009, YEO2011). enhanced