Brain Connectivity Toolbox (BCT) The Brain Connectivity Toolbox (brain-connectivity-toolbox.net) is a MATLAB toolbox for complex-network analysis of structural and functional brain-connectivity data sets. Reference and citation Complex network measures of brain connectivity: Uses and interpretations. Ru...
brain connectivity toolbox for python. Contribute to aestrivex/bctpy development by creating an account on GitHub.
The Brain Connectivity Toolbox code used for graph-theoretical analyses is freely available at https://sites.google.com/site/bctnet/. The code used for NeuroSynth meta-analysis is freely available at https://www.github.com/gpreti/GSP_StructuralDecouplingIndex. The HRF deconvolution toolbox v2.2...
Rubinov-Brain Connectivity Toolbox Rubinov 2013年12月版BCT。用于MATLAB复杂网络分析,不局限于大脑神经元网络,其他复杂网络也适用。 BCT 复杂网络2014-02-24 上传大小:814KB 所需:1积分/C币 matlab自相关代码-xDF_Paper18:重现xDF论文中提供的图形和表格的脚本...
The local clustering coefficient, local efficiency and nodal strength were calculated for each ROI from each subject using the Brain Connectivity Toolbox (https://sites.google.com/site/bctnet/)46. The local clustering coefficient is a segregation measure that is determined by the number of ...
(MRI) is generally used during diagnosis as a tool to exclude ALS mimics, but advanced techniques such as functional MRI and diffusion tensor imaging (DTI) have enabled investigation of both structural and functional connectivity in vivo [4]. Diffusion tensor imaging in particular has highlighted ...
Synthetic benchmark networks. The synthetic benchmark networks were created using the Brain Connectivity Toolbox (BCT)65 with modifications to make networks symmetric and with weighting schemes as defined in Lohse et al.28. All synthetic networks have N = 1024 nodes. Heirarchical ...
(3) the overall Newman’s modularity among cortical networks. Similar to ref.33, we used the code from the Brain Connectivity Toolbox94, publicly available at siteshttps://sites.google.com/site/bctnet/, with modules’ assignments chosen a priori based on Info-Map community detection in ref....
(Supplementary Data18). We calculated the genetic correlation matrix for each pair of regional thickness summary statistics and used the Brain Connectivity Toolbox (BCT,https://sites.google.com/site/bctnet/) to assess network modularity based on this correlation matrix84. Finally, to identify ...
Negative correlation coefficients were set to 0 in the functional connectivity matrices due to their ambiguous interpretation65. These modularity analyses were undertaken with Brain Connectivity Toolbox (BCT; https://sites.google.com/site/bctnet/). LFP recording Electrophysiological recordings were ...