Effective artifact removal in resting state fMRI data improves detection of DMN functional connectivity alteration in Alzheimer's disease

Frontiers in Human Neuroscience
Ludovica GriffantiFrancesca Baglio

Abstract

Artifact removal from resting state fMRI data is an essential step for a better identification of the resting state networks and the evaluation of their functional connectivity (FC), especially in pathological conditions. There is growing interest in the development of cleaning procedures, especially those not requiring external recordings (data-driven), which are able to remove multiple sources of artifacts. It is important that only inter-subject variability due to the artifacts is removed, preserving the between-subject variability of interest-crucial in clinical applications using clinical scanners to discriminate different pathologies and monitor their staging. In Alzheimer's disease (AD) patients, decreased FC is usually observed in the posterior cingulate cortex within the default mode network (DMN), and this is becoming a possible biomarker for AD. The aim of this study was to compare four different data-driven cleaning procedures (regression of motion parameters; regression of motion parameters, mean white matter and cerebrospinal fluid signal; FMRIB's ICA-based Xnoiseifier-FIX-cleanup with soft and aggressive options) on data acquired at 1.5 T. The approaches were compared using data from 20 elderly healthy subjects a...Continue Reading

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Citations

Feb 7, 2017·NeuroImage·Cameron TrappStefan Posse
Dec 19, 2016·NeuroImage·Ludovica GriffantiStephen M Smith
Jan 10, 2018·Frontiers in Neuroscience·Dusica BajicLino Becerra
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Sep 1, 2017·Frontiers in Pediatrics·Chandler R L MongersonDusica Bajic
Apr 20, 2019·Frontiers in Neuroscience·Niko HuotariVesa O Korhonen
Sep 25, 2018·Frontiers in Neuroinformatics·Xia-An BiYingchao Liu
Mar 22, 2019·Frontiers in Neuroinformatics·Ilaria Boscolo GalazzoFrancesco Fraioli
Jul 2, 2020·NeuroImage·Yikang LiuNanyin Zhang
Apr 13, 2021·Frontiers in Neuroscience·Yujian DiaoIleana O Jelescu
Jul 31, 2021·Schizophrenia Research·Aniol Santo-AnglesJens Schwarzbach

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Software Mentioned

FNIRT
MELODIC FSL tool
MELODIC
MCFLIRT
REST
BBR
FIXagg
MOTreg
FAST
FMRIB

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