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# interfaces.nitime.analysis

## CoherenceAnalyzer

Link to code

Inputs:

    [Mandatory]

    [Optional]
    NFFT: (an integer >= 32, nipype default value: 64)
            This is the size of the window used for the spectral estimation. Use
            values between 32 and the number of samples in your time-
            series.(Defaults to 64.)
    TR: (a float)
            The TR used to collect the datain your csv file <in_file>
    figure_type: ('matrix' or 'network', nipype default value: matrix)
            The type of plot to generate, where 'matrix' denotes a matrix image
            and'network' denotes a graph representation. Default: 'matrix'
    frequency_range: (a list of from 2 to 2 items which are any value,
             nipype default value: [0.02, 0.15])
            The range of frequencies overwhich the analysis will
            average.[low,high] (Default [0.02,0.15]
    ignore_exception: (a boolean, nipype default value: False)
            Print an error message instead of throwing an exception in case the
            interface fails to run
    in_TS: (any value)
            a nitime TimeSeries object
    in_file: (an existing file name)
            csv file with ROIs on the columns and time-points on the rows. ROI
            names at the top row
            requires: TR
    n_overlap: (an integer >= 0, nipype default value: 0)
            The number of samples which overlapbetween subsequent
            windows.(Defaults to 0)
    output_csv_file: (a file name)
            File to write outputs (coherence,time-delay) with file-names:
            file_name_ {coherence,timedelay}
    output_figure_file: (a file name)
            File to write output figures (coherence,time-delay) with file-names:
            file_name_{coherence,timedelay}. Possible formats:
            .png,.svg,.pdf,.jpg,...

Outputs:

    coherence_array: (an array)
            The pairwise coherence valuesbetween the ROIs
    coherence_csv: (a file name)
            A csv file containing the pairwise coherence values
    coherence_fig: (a file name)
            Figure representing coherence values
    timedelay_array: (an array)
            The pairwise time delays between theROIs (in seconds)
    timedelay_csv: (a file name)
            A csv file containing the pairwise time delay values
    timedelay_fig: (a file name)
            Figure representing coherence values