plot_weight

plot_weight

It plots the model weights in specific figures based on the modality of the data.

Syntax

  plot_weight(res, mod, modtype, split, func, varargin)

Inputs

res [struct]

res structure containing information about results and plot specifications
mod ['X', 'Y']

modality of data to be used for plotting
modtype ['behav', 'conn', 'vbm', 'roi', 'simul']

type of data
split [int]

index of data split to be used
func ['behav_horz', 'behav_vert', 'behav_text', 'brain_conn_node', 'brain_cortex', 'brain_edge', 'brain_module', 'brain_node', 'stem']

name of the specific plotting function (after plot_weight_* prefix) to be called
varargin [name-value pairs]

additional options can be passed via name-value pairs with dot notation supported (e.g., 'behav.weight.numtop', 20)

Examples

Modality independent

  % Plot Y weights as stem plot
  plot_weight(res, 'Y', 'simul', res.frwork.split.best, 'stem', ...
  'gen.axes.YLim', [-0.2 1.2], 'simul.weight.norm', 'minmax', ...
  'gen.axes.FontSize', 20, 'gen.legend.FontSize', 20);

weight_stem

Behaviour

  % Plot behavioural weights as vertical bar plot
  plot_weight(res, 'Y', 'behav', res.frwork.split.best, 'behav_vert', ...
  'gen.axes.FontSize', 20, 'gen.legend.FontSize', 20, ...
  'gen.axes.YLim', [-0.4 1.2], 'gen.weight.flip', 1, ...
  'behav.weight.sorttype', 'sign', 'behav.weight.numtop', 20, ...
  'behav.weight.norm', 'minmax');

weight_behav

ROI-wise sMRI

  % Plot ROI weights on a glass brain
  plot_weight(res, 'X', 'roi', 1, 'brain_node', ...
  'roi.weight.sorttype', 'sign', 'roi.weight.numtop', 20, ...
  'roi.out', 9000 + [reshape([1:10:81; 2:10:82], [], 1); ...
  reshape(100:10:170, [], 1)]);

weight_roi

fMRI connectivity edges

  % Plot connectivity weights on glass brain
  plot_weight(res, 'X', 'conn', res.frwork.split.best, 'brain_edge', ...
  'conn.weight.sorttype', 'sign', 'conn.weight.numtop', 20);

weight_conn_edge