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density_flowchart.ppt

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Click to edit Master title style,Click to edit Master text styles,Second level,Third level,Fourth level,Fifth level,*,Density analysis methods,(,Stor,+Exec),-,Stor,Permuted,locations,k,Meta-analysis flowchart,Choice of radius(r),Clusters,read_database,Variables in workspace,Excel database,Density,img,Thresholded,density,img,density_choose_radius,density_,pdf,density_diff_,pdf,i_density,i_density_,pdf,mask2clusters,Clusters,With meta-analysis peaks,database2clusters,db_cluster_,burt,_table,cluster_,manova,db_cluster_table,dbcluster,_glass_plot,tor,_,mca,Multiple correspondence analysis,cluster_chi2,Manova,Chi-square analysis,cluster_surf,montage_clusters,Hypothesis testing on cluster solution:,fuzzy_conf_cluster.m,cluster_overlap_,npm,Monte Carlo overlap between sets of clusters,plot_dens_results,make_figure_into_,orthviews,.m,density_image,Meta-analysis flowchart c(finding studies that have activated around a specified point),dbcluster,_point_table(,cl,),Clusters with meta-peaks,And table,cl,=database_point_probe,meta_analysis_table,db_cluster_,burt,_table,cluster_,manova,db_cluster_table,dbcluster,_glass_plot,tor,_,mca,Multiple correspondence analysis,cluster_chi2,Manova,Chi-square analysis,cluster_surf,montage_clusters,Hypothesis testing on cluster solution:,fuzzy_conf_cluster.m,cluster_overlap_,npm,Monte Carlo overlap between sets of clusters,make_figure_into_,orthviews,.m,meta_analysis_master_file.mat,Meta-analysis flowchart d(whole brain contrast),dbcontrast2density,dbcluster2indic,Count frequencies,make indicator,Matrix for task conditions,Get_contrast_indicator,For whole brain,makes maps of task-specificity given activation in each region,threshold_pa_overall,Monte,carlo,test that gives uncorrected p-values for p(a),thresholded,using FDR;returns clusters,Can input test field for p(a|task)as well as overall,p_task_given_activation,Estimates and inference on information provided about the task,Create new images for each contrast,Or load info about existing images from mat file,Whole_brain_,ptask,_,givena,Density regions are useful for,Consensus,ROIs,for future studies,Defining,ROIs,for meta-analysis,Testing for selectivity and spatial gradients across task types,Comparing locations of regions across domains,Directly comparing similarities of tasks,
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