Cerebral CortexNeurosciencePeer-reviewed journal article
Transient arousal modulations contribute to resting-state functional connectivity changes associated with head motion parameters
Abstract
Correlations of resting-state functional magnetic resonance imaging (rsfMRI) signals are being widely used for assessing functional brain connectivity in health and disease. However, an association was recently observed between rsfMRI connectivity modulations and the head motion parameters and regarded as a causal relationship, which has raised serious concerns about the validity of many rsfMRI findings. Here, we studied the origin of this rsfMRI-motion association and its relationship to arousal modulations. By using a template-matching method to locate arousal-related fMRI changes, we showed that the effects of high motion time points on rsfMRI connectivity are largely due to their significant overlap with arousal-affected time points. The finding suggests that the association between rsfMRI connectivity and the head motion parameters arises from their co-modulations at transient arousal modulations, and this information is critical not only for proper interpretation of motion-associated rsfMRI connectivity changes but also for controlling the potential confounding effects of arousal modulation on rsfMRI metrics.
- Citations
- 29
- FWCI
- 2.15
- Field percentile
- top 13%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- An orderly sequence of autonomic and neural events at transient arousal changes
Yameng Gu, Feng Han, … Xiao Liu·NeuroImagePeer-reviewed·Nov 2, 2022
- Typicality of Functional Connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases and preprocessing pipelines
Jakub Kopál, Anna Pidnebesna, … Jaroslav Hlinka·Human Brain MappingPeer-reviewed·Sep 2, 2020
- Resting state global brain activity induces bias in fMRI motion estimates
Yixiang Mao, Conan Chen, … Thomas T. Liu·Imaging NeurosciencePeer-reviewed·Apr 12, 2024
- An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI
Linden Parkes, Ben Fulcher, … Alex Fornito·NeuroImagePeer-reviewed·Dec 24, 2017
- How does group differences in motion scrubbing affect false positives in functional connectivity studies?
Anders Eklund, Thomas E. Nichols, … Cameron Craddock·bioRxiv·Feb 12, 2020
- Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data
Arun S. Mahadevan, Ursula A. Tooley, … Danielle S. Bassett·NeuroImagePeer-reviewed·Jul 17, 2021