ArticleNetwork neuroscience (Cambridge, Mass.)2017
Consistency of Regions of Interest as nodes of fMRI functional brain networks.
Article in Network neuroscience (Cambridge, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed.
- Association between dynamic resting-state functional connectivity and ketamine plasma levels in visual processing networks.Scientific reports · 2019Trial
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- Telecommunication-inspired network models of healthy and diseased brains.Scientific reports · 2026Article
- Investigating topological alterations in procedural memory network across neuropsychiatric disorders using rs-fMRI and graph theory.BMC neuroscience · 2025Article
- Voxel-Wise or Region-Wise Nuisance Regression for Functional Connectivity Analyses: Does It Matter?Human brain mapping · 2025Article
- An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Altered functional connectivity in preterm neonates with intraventricular hemorrhage assessed using functional near-infrared spectroscopy.Scientific reports · 2024Article
- ASD-GANNet: A Generative Adversarial Network-Inspired Deep Learning Approach for the Classification of Autism Brain Disorder.Brain sciences · 2024Article
- Determination of Neuronal Activity and Its Meaning for the Processes of Learning and Memory.Advances in neurobiology · 2024Review
- Reconstructing brain functional networks through identifiability and deep learning.Network neuroscience (Cambridge, Mass.) · 2024Article
- The elusive metric of lesion load.Brain structure & function · 2023Review
- Classification of human chronotype based on fMRI network-based statistics.Frontiers in neuroscience · 2023Article
- Functional Connectivity as an Index of Brain Changes Following a Unicycle Intervention: A Graph-Theoretical Network Analysis.Brain sciences · 2022Article
- Movie Events Detecting Reveals Inter-Subject Synchrony Difference of Functional Brain Activity in Autism Spectrum Disorder.Frontiers in computational neuroscience · 2022Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Functional connectivity alterations associated with literacy difficulties in early readers.Brain imaging and behavior · 2021Article
- Age differences in functional network reconfiguration with working memory training.Human brain mapping · 2021Article
- Brain parcellation driven by dynamic functional connectivity better capture intrinsic network dynamics.Human brain mapping · 2021Article
- People with mesial temporal lobe epilepsy have altered thalamo-occipital brain networks.Epilepsy & behavior : E&B · 2021Article
- Unraveling reproducible dynamic states of individual brain functional parcellation.Network neuroscience (Cambridge, Mass.) · 2021Article
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5 authors.
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Abstract
The functional network approach, where fMRI BOLD time series are mapped to networks depicting functional relationships between brain areas, has opened new insights into the function of the human brain. In this approach, the choice of network nodes is of crucial importance. One option is to consider fMRI voxels as nodes. This results in a large number of nodes, making network analysis and interpretation of results challenging. A common alternative is to use predefined clusters of anatomically close voxels, Regions of Interest (ROIs). This approach assumes that voxels within ROIs are functionally similar. Because these two approaches result in different network structures, it is crucial to understand what happens to network connectivity when moving from the voxel level to the ROI level. We show that the consistency of ROIs, defined as the mean Pearson correlation coefficient between the time series of their voxels, varies widely in resting-state experimental data. Therefore the assumption of similar voxel dynamics within each ROI does not generally hold. Further, the time series of low-consistency ROIs may be highly correlated, resulting in spurious links in ROI-level networks. Based on these results, we recommend that averaging BOLD signals over anatomically defined ROIs should be carefully considered.
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