Tutorials

Tutorials for all classes and functions in neurocaps. Note, most of these examples use randomized data. Output from the Extracting Timeseries section is from a test from Github Actions using a truncated version of an open dataset provided by Laumann & Poldrack and used in Laumann et al., 2015 [1] was also utilized. This data was obtained from the OpenfMRI database, accession number ds000031.

Tutorial 1: Using TimeseriesExtractor For Spatial Dimensionality Reduction With Parcellations

Tutorial 2: Using CAP Within Groups or All Subjects

Tutorial 3: Merging Timeseries With merge_dicts

Tutorial 4: Standardizing Within Runs Using standardize

Tutorial 5: Changing Dtype With change_dtype

Tutorial 6: Generating a Transition Probability Matrix transition_matrix

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[1]

Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M. Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U., Schlaggar, B. L., Mumford, J. A., Poldrack, R. A., & Petersen, S. E. (2015). Functional system and areal organization of a highly sampled individual human brain. Neuron, 87(3), 657–670. https://doi.org/10.1016/j.neuron.2015.06.037