brainstat.context.meta_analysis.meta_analytic_decoder

brainstat.context.meta_analysis.meta_analytic_decoder(template, stat_labels, corrtype='pearson', data_dir=None)

Meta-analytic decoding of surface maps using NeuroSynth or NeuroQuery.

Parameters

• template (str) – Path of a template volume file.

• stat_labels (str, numpy.ndarray, sequence of str or numpy.ndarray) – Path to a label file for the surfaces, numpy array containing the labels, or a list containing multiple of the aforementioned.

• corrtype (str, optional) – Correlation type {‘pearson’, ‘spearman’}. Default is ‘pearson’.

• data_dir (str, optional) – The directory of the dataset. If none exists, a new dataset will be downloaded and saved to this path. If None, the directory defaults to your home directory, by default None.

Returns

pandas.DataFrame – Table with correlation values for each feature.