TABLE 1.

Comparison to other neuroimaging pipelines

		HALFpipe	C‐PAC	fMRIPrep MRIQC FitLins	Conn toolbox	XCP toolbox	DPARSF DPABI
Quality assessment	Quality metrics	Yes	Yes	Yes	Yes	Yes	Yes
	Visual quality assessment	Yes	Yes	Yes	Yes	Yes	Yes
Features	Task‐based activation	Yes	No	Yes	No a	Yes	No
	Seed‐based connectivity	Yes	Yes	No	Yes	Yes	Yes
	Dual regression	Yes	Yes	No	Yes	No	Yes
	Atlas‐based connectivity matrix	Yes	Yes	No	Yes	Yes	Yes
	ReHo	Yes	Yes	No	Yes b	Yes	Yes
	fALFF	Yes	Yes	No	Yes	Yes	Yes
	Group statistics	Yes	Yes	Yes	Yes	No	Yes

Note: HALFpipe supports a number of different features that are also available in other pipelines such as the configurable pipeline for the analysis of connectome C‐PAC (Craddock et al., 2013), the Conn toolbox (Whitfield‐Gabrieli and Nieto‐Castanon 2012), the eXtensible Connectivity Pipeline XCP (Ciric et al. 2018) and the data processing and analysis of brain images toolbox DPABI (Yan et al. 2016). fMRIPrep (Esteban, Markiewicz, et al. 2019) in combination with Magnetic Resonance Imaging Quality Control tool (MRIQC) (Esteban et al., 2017) and FitLins (Markiewicz et al. 2016) allows users to construct an analysis pipeline fully within the Nipype ecosystem (Esteban, Ciric, et al. 2020).

^a Task‐based connectivity is supported.

^b As implemented with LCOR (local correlation).