nimare.decode.discrete.neurosynth_decode

neurosynth_decode(coordinates, annotations, ids, ids2=None, features=None, frequency_threshold=0.001, prior=0.5, u=0.05, correction='fdr_bh')

Perform discrete functional decoding according to Neurosynth’s meta-analytic method [1]. This does not employ correlations between unthresholded maps, which are the method of choice for decoding within Neurosynth and Neurovault. Metadata (i.e., feature labels) for studies within the selected sample (ids) are compared to the unselected studies remaining in the database (dataset).

References

[1]	Yarkoni, Tal, et al. “Large-scale automated synthesis of human functional neuroimaging data.” Nature methods 8.8 (2011): 665. https://doi.org/10.1038/nmeth.1635