cross_disorder_effect()

Usage [source]:
[components, variance, ~, names] = cross_disorder_effect(varargin)
[~, ~, correlation_matrix, names] = cross_disorder_effect(varargin)
Description:

Cross-disorder effect (authors: @boyongpark, @saratheriver)

Name/value pairs:

  • disorder (cell array, optional) - Any combination of disorder name. Default is all available disorders, except ‘adhd’ due to NaNs. Options are any combination of {‘22q’, ‘adhd’, ‘asd’, ‘bipolar’, ‘depression’, ‘epilepsy’, ‘ocd’, ‘schizophrenia’}.

  • measure (cell array, optional) - Any combination of measure names. Default is {‘CortThick’, ‘CortSurf’}.

  • additional_data_cortex (double array, optional) - Name for additional cortical ENIGMA-type data. Must also provide ‘additional_name_cortex’.

  • additional_name_cortex (cell array, optional) - Additional cortical ENIGMA-type data (n, 68). Must also provide ‘additional_data_cortex’.

  • additional_data_subcortex (double array, optional) - Name for additional subcortical ENIGMA-type data. Must also provide ‘additional_name_subcortex’.

  • additional_name_subcortex (cell array, optional) - Additional subcortical ENIGMA-type data (n, 16). Must also provide ‘additional_data_subcortex’.

  • ignore (cell array, optional) - Ignore summary statistics with these expressions. Default is (‘mega’) as it contains NaNs.

  • include (c*ell array, optional*) - Include only summary statistics with these expressions. Default is empty.

  • method (string, optional) - Analysis method {‘pca’, ‘correlation’}. Default is ‘pca’.

Outputs:

  • components (structure) - Principal components of shared effects in descending order in terms of component variance. Only is method is ‘pca’.

  • variance (structure) - Variance of components. Only is method is ‘pca’.

  • correlation_matrix (structure) - Correlation matrix of for every pair of shared effect maps. Only is method is ‘correlation’.

  • names (structure) - Name of disorder and case-control effect maps included in analysis.