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Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies
- Source :
- Human Brain Mapping
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Head motion is a major confounding factor impairing the quality of functional magnetic resonance imaging (fMRI) data. In particular, head motion can reduce analytical efficiency, and its effects are still present even after preprocessing. To examine the validity of motion removal and to evaluate the remaining effects of motion on the quality of the preprocessed fMRI data, a new metric of group quality control (QC), dissimilarity of functional connectivity, is introduced. Here, we investigate the association between head motion, represented by mean framewise displacement, and dissimilarity of functional connectivity by applying four preprocessing methods in two independent resting‐state fMRI datasets: one consisting of healthy participants (N = 167) scanned in a 3T GE‐Discovery 750 with longer TR (2.5 s), and the other of chronic back pain patients (N = 143) in a 3T Siemens Magnetom Prisma scanner with shorter TR (0.555 s). We found that dissimilarity of functional connectivity uncovers the influence of participant's motion, and this relationship is independent of population, scanner, and preprocessing method. The association between motion and dissimilarity of functional connectivity, and how the removal of high‐motion participants affects this association, is a new strategy for group‐level QC following preprocessing.<br />Dissimilarity of functional connectivity uncovers the influence of participant's motion, and this relationship is independent of population, scanner, and preprocessing method. Participants with the greatest motion determined the strength of the association between motion and dissimilarity of functional connectivity. A new group‐based quality control strategy is proposed: if a group data set is large enough, participants with large motion in the data set be removed to make the regression slope of the association as flat as possible.
- Subjects :
- Adult
Male
Scanner
Computer science
Population
050105 experimental psychology
Motion (physics)
Displacement (vector)
03 medical and health sciences
0302 clinical medicine
motion
Connectome
medicine
Humans
Preprocessor
0501 psychology and cognitive sciences
Radiology, Nuclear Medicine and imaging
education
Association (psychology)
Research Articles
education.field_of_study
Radiological and Ultrasound Technology
medicine.diagnostic_test
business.industry
fMRI
functional connectivity
05 social sciences
Brain
Pattern recognition
Middle Aged
group quality of control
Magnetic Resonance Imaging
dissimilarity
Neurology
Back Pain
Head Movements
Metric (mathematics)
Female
Neurology (clinical)
Artificial intelligence
Chronic Pain
Anatomy
business
Functional magnetic resonance imaging
030217 neurology & neurosurgery
Research Article
Subjects
Details
- ISSN :
- 10970193 and 10659471
- Volume :
- 42
- Database :
- OpenAIRE
- Journal :
- Human Brain Mapping
- Accession number :
- edsair.doi.dedup.....ea1387df3289b2d611cafa2f34fd7760