Chapter 12 Brain Predictability Toolbox Sage Hahn, Nicholas Allgaier, and Hugh Garavan Abstract The Brain Predictability toolbox (BPt) is a Python-based library with a unified framework of machine learning (ML) tools designed to work with both tabulated data (e.g., brain-derived, psychiatric, ...
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...
The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions. -
The null-hypothesis networks for dat, anat and anatpar were created by randomising these networks using the "randmio_und_connected" script in Brain Connectivity Toolbox19. 15 null-hypothesis networks were created for each of the three networks, preserving the degree distribution, connectivity ...
show high variability12. Some mushroom body connectivity patterns have even been found to be near random47, although deviations from randomness have since been identified48. In short,Drosophilawiring diagrams are useful because of their stereotypy, yet also open the door to studies of connectome vari...
使用 EEG 的原始时间序列、频带分解、建立基于相关性的大脑网络(不同类型的相关性)、可视化图形的矩阵表示、使用矩阵重新布线和阈值方法。 在这里,我们使用 Sporns 等人的 Brain Connectivity Toolbox (BCT),麻省理工学院的 Matlab 网络分析工具。 感谢 David Legland 的函数“double2rgb.m”。 数据集是从 Chen ...
cell composition and connectivity. For the spinal cord, however, such atlases do not yet exist. In this dissertation, I present the first versions of high-resolution 3D atlases of the spinal cords for five mammalian species: mouse, rat, marmoset, rhesus monkey, and human. First, I summarize...
Highlights We present a novel toolbox to carry out DBS imaging analyses on a group-level Group electrodes are visualized in 2D and 3D and related to clinical regressors A favorable target and connectivity profiles for the treatment of PD are validated...
(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 ...
The rationale for this is that we are interested in assessing the capacity of higher-order indicators to encode human brain function along two axes: the first one, along the spatial gradient (i.e., whole-brain versus local connectivity structures); the second, along the complexity gradient (i...