Abstract #5478

A novel phase-based technique to reduce physiological noise in resting state fMRI data

Vahid Malekian¹, Abbas Nasiraei Moghaddam^1,2, Daniel Gomez³, Jose P. Marques³, and David G. Norris^3,4

¹Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (Islamic Republic of), ²School of Cognitive Sciences, Institute for research in fundamental sciences (IPM), Tehran, Iran (Islamic Republic of), ³Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, Netherlands, ⁴Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany

In this study, a novel phase-based technique is proposed to decrease the effects of physiological noise in resting-state fMRI data. Our technique is based on extracting nuisance components from the phase of fMRI data using spatial-ICA and utilize it to clean magnitude data. To evaluate, we performed the proposed method on Multi-Band fMRI data which benefits from higher temporal resolution to encode physiological effects and compare the efficacy of the technique both with magnitude-based and with RETRIOCOR techniques. Our method has marginal higher identifiability index and z-score’s mean values compared to magnitude-based and RETROICOR methods.

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