A Combined SPM-ICA Approach to fMRI

Abstract

Independent component analysis (ICA) and statistical parametric mapping (SPM) are two commonly used methods of analyzing fMRI measurements. Typically, these methods are applied separately to the measurements to produce brain maps indicating active brain regions in response to a stimulus or a performed task. However, ICA can also be used to develop a hemodynamic response model that can be used as a regressor in SPM of fMRI measurements. This may lead to a more accurate method of localizing brain activity that corresponds to performing a task or to various pathologies. In this study, BOLD fMRI data were acquired from a subject performing a finger flexion task in a block design paradigm. Both spatial and temporal ICA was performed on the subject's BOLD fMRI measurements. Two hemodynamic response model signals were generated from ICA results to use as regressors in SPM of the subject data. IC maps and SPM-generated brain maps of the subject data using the canonical hemodynamic response model and the ICA-derived models were compared. In all cases, there was significant overlap in voxel activations.

Performance of Temporal and Spatial Independent Component Analysis in Identifying and Removing Low-Frequency Physiological and Motion Effects in Resting-State fMRI

“…Therefore, sICA generates more accurate and reproducible results. However, recent developments in multiband data acquisition enable acquiring fMRI with higher temporal resolutions, which makes temporal ICA (tICA) more feasible (Calhoun et al, 2001;Stone et al, 2002;Chen et al, 2006;Penney and Koles, 2006;Wang et al, 2006;Lukic et al, 2007;van de Ven et al, 2009;Alkan et al, 2011;Gao et al, 2011;Boubela et al, 2013;Miller et al, 2014;Hald et al, 2017;Shi and Zeng, 2018;Amemiya et al, 2019;Baker et al, 2019). tICA has begun to be used in noise identification in rs-fMRI (Beall and Lowe, 2007;Glasser et al, 2018Glasser et al, , 2019Power, 2019).…”

Performance of temporal and spatial ICA in identifying and removing low-frequency physiological and motion effects in resting-state fMRI

“…However, recent developments in multiband data acquisition enable acquiring fMRI with higher temporal resolutions, which makes temporal ICA (tICA) more feasible (Alkan et al, 2011;Amemiya et al, 2019;Baker et al, 2019;Boubela et al, 2013;Calhoun et al, 2001;Chen et al, 2006;Gao et al, 2011;Hald et al, 2017;Lukic et al, 2007;R. L. Miller et al, 2014;Penney & Koles, 2006;Shi & Zeng, 2018;Stone et al, 2002;van de Ven et al, 2009; Z. Wang et al, 2006).…”