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Morphometric Similarity Network Code for Deep Brain Stimulation Data

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Freesurfer_XYZ.m
Freesurfer_XYZ.m
 
 
README.md
README.md
 
 
dbs_DPM.m
dbs_DPM.m
 
 
dbs_analysis_all.m
dbs_analysis_all.m
 
 
dbs_analysis_group_Q.m~
dbs_analysis_group_Q.m~
 
 
dbs_analysis_group_images.m
dbs_analysis_group_images.m
 
 
dbs_analysis_group_rapid.m
dbs_analysis_group_rapid.m
 
 
dbs_analysis_subject_F.m
dbs_analysis_subject_F.m
 
 
dbs_analysis_subject_Q.m
dbs_analysis_subject_Q.m
 
 
dbs_analysis_subject_images.m
dbs_analysis_subject_images.m
 
 
dbs_analysis_subject_rapid.m
dbs_analysis_subject_rapid.m
 
 
dbs_complexity.m
dbs_complexity.m
 
 
dbs_connectome_groupanalysis.m
dbs_connectome_groupanalysis.m
 
 
dbs_connectome_groupanalysis.m~
dbs_connectome_groupanalysis.m~
 
 
dbs_connectome_indanalysis.m
dbs_connectome_indanalysis.m
 
 
dbs_cost_plots.m
dbs_cost_plots.m
 
 
dbs_delta_efficiency.m
dbs_delta_efficiency.m
 
 
dbs_draw_cHubs.m
dbs_draw_cHubs.m
 
 
dbs_draw_edges.m
dbs_draw_edges.m
 
 
dbs_draw_group_matrices.m
dbs_draw_group_matrices.m
 
 
dbs_draw_iHubs.m
dbs_draw_iHubs.m
 
 
dbs_draw_modular_matrix.m
dbs_draw_modular_matrix.m
 
 
dbs_draw_modules.m
dbs_draw_modules.m
 
 
dbs_draw_network.m
dbs_draw_network.m
 
 
dbs_draw_richclub.m
dbs_draw_richclub.m
 
 
dbs_draw_threshold_matrices.m
dbs_draw_threshold_matrices.m
 
 
dbs_make_SmallWorlds.m
dbs_make_SmallWorlds.m
 
 
dbs_make_comp_nets.m
dbs_make_comp_nets.m
 
 
dbs_make_hubs.m
dbs_make_hubs.m
 
 
dbs_make_hubs_bin.m
dbs_make_hubs_bin.m
 
 
dbs_make_measures.m
dbs_make_measures.m
 
 
dbs_make_measures_bin.m
dbs_make_measures_bin.m
 
 
dbs_make_networks.m
dbs_make_networks.m
 
 
dbs_make_smallworld_cost.m
dbs_make_smallworld_cost.m
 
 
dbs_make_zscores.m
dbs_make_zscores.m
 
 
dbs_matrix_comparison.m
dbs_matrix_comparison.m
 
 
dbs_measure_stats.m
dbs_measure_stats.m
 
 
dbs_modularity_consensus_fun.m
dbs_modularity_consensus_fun.m
 
 
dbs_mutual_information.m
dbs_mutual_information.m
 
 
dbs_network_cost.m
dbs_network_cost.m
 
 
dbs_normal_nets.m
dbs_normal_nets.m
 
 
dbs_permute_glm.m
dbs_permute_glm.m
 
 
dbs_proxdist.m
dbs_proxdist.m
 
 
dbs_quick_measures.m
dbs_quick_measures.m
 
 
dbs_semimetricity.m
dbs_semimetricity.m
 
 
dbs_workthrough.mat
dbs_workthrough.mat
 
 
draw_dbs_cHubs.m
draw_dbs_cHubs.m
 
 
draw_dbs_edges.m
draw_dbs_edges.m
 
 
draw_dbs_iHubs.m
draw_dbs_iHubs.m
 
 
draw_dbs_modules.m
draw_dbs_modules.m
 
 
epilepsy_analysis_all.m
epilepsy_analysis_all.m
 
 
epilepsy_analysis_group_images.m
epilepsy_analysis_group_images.m
 
 
epilepsy_analysis_subject_images.m
epilepsy_analysis_subject_images.m
 
 
importfile.m
importfile.m
 
 

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msn_dbs

Morphometric Similarity Network Code for Deep Brain Stimulation Data

See the original paper here:

Seidlitz et al, Neuron, 2018 https://www.sciencedirect.com/science/article/pii/S0896627317310929?via%3Dihub

To start, check out dbs_analysis_subject_images.m

  • this is a script that processes 1 subject from start to finish

  • also quick / fast versions, and group scripts for running as a batch

A few dependencies:

BCT https://sites.google.com/site/bctnet/

L1 precision https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLNets

pwling https://www.cs.helsinki.fi/u/ahyvarin/code/pwcausal/

fdr_bh https://uk.mathworks.com/matlabcentral/fileexchange/27418-fdr_bh

All comments welcome!

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Morphometric Similarity Network Code for Deep Brain Stimulation Data

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