xcp_d.interfaces.restingstate.ComputeALFF

class xcp_d.interfaces.restingstate.ComputeALFF(from_file=None, resource_monitor=None, **inputs)[source]

Compute ALFF.

Mandatory Inputs:

  • TR (a float) – Repetition time.

  • high_pass (a float) – High_pass filter in Hz.

  • in_file (a pathlike object or string representing an existing file) – Nifti, cifti or gifti.

  • low_pass (a float) – Low_pass filter in Hz.

Optional Inputs:

mask (a pathlike object or string representing an existing file) – brain mask for nifti file.

Outputs:

alff (a pathlike object or string representing an existing file) – alff.

__init__(from_file=None, resource_monitor=None, **inputs)[source]

Subclasses must implement __init__

Methods

__init__([from_file, resource_monitor])

Subclasses must implement __init__

aggregate_outputs([runtime, needed_outputs])

Collate expected outputs and apply output traits validation.

help([returnhelp])

Prints class help

load_inputs_from_json(json_file[, overwrite])

A convenient way to load pre-set inputs from a JSON file.

run([cwd, ignore_exception])

Execute this interface.

save_inputs_to_json(json_file)

A convenient way to save current inputs to a JSON file.

Attributes

always_run

Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.

can_resume

Defines if the interface can reuse partial results after interruption.

resource_monitor

version

interfaces should implement a version property