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Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies
- Source :
- Hum Brain Mapp
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- Motion artifacts are now recognized as a major methodological challenge for studies of functional connectivity. As in-scanner motion is frequently correlated with variables of interest such as age, clinical status, cognitive ability, and symptom severity, in-scanner motion has the potential to introduce systematic bias. In this article, we describe how motion-related artifacts influence measures of functional connectivity and discuss the relative strengths and weaknesses of commonly used denoising strategies. Furthermore, we illustrate how motion can bias inference, using a study of brain development as an example. Finally, we highlight directions of ongoing and future research, and provide recommendations for investigators in the field. Hum Brain Mapp, 40:2033-2051, 2019. © 2017 Wiley Periodicals, Inc.
- Subjects :
- Connectomics
Computer science
Inference
Artifact (software development)
Article
050105 experimental psychology
Motion (physics)
Field (computer science)
Motion
03 medical and health sciences
0302 clinical medicine
Humans
0501 psychology and cognitive sciences
Radiology, Nuclear Medicine and imaging
Brain Mapping
Radiological and Ultrasound Technology
Functional connectivity
05 social sciences
Brain
Cognition
Magnetic Resonance Imaging
Neurology
Head Movements
Neurology (clinical)
Nerve Net
Anatomy
Artifacts
030217 neurology & neurosurgery
Strengths and weaknesses
Cognitive psychology
Subjects
Details
- ISSN :
- 10970193 and 10659471
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Human Brain Mapping
- Accession number :
- edsair.doi.dedup.....318bf093c4c93282e6fac7e809a6bc41