ArticleNeuroradiology2021
Effects of different smoothing on global and regional resting functional connectivity.
Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Altered hypothalamic functional connectivity in adolescents with severe obesity.International journal of obesity (2005) · 2026Observational
- Mapping Whole-Brain Nonlinear Structure-Function Dynamics in Aging via Neural Granger Causality.Brain topography · 2026Article
- Mapping the functional connectome between grey matter and white matter.Communications biology · 2026Article
- Functional and structural connectome-based predictive modelling of balance in elderly adults.Scientific reports · 2026Article
- Anatomically constrained volumetric smoothing enhances fMRI reliability while avoiding smoothing artifacts.Frontiers in neuroimaging · 2026Article
- Resting-State fMRI Co-Activation Patterns Reveal Multiscale Brain Functional Alterations in Primary Angle-Closure Glaucoma: Transcriptomic, Cellular, Neurochemical, and Machine-Learning Signatures.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Neural network dynamics associated with facial and subjective emotional responses.Communications biology · 2025Article
- Resting state connectivity patterns associated with trait anxiety in adolescence.Scientific reports · 2025Article
- Temporal complexity of the BOLD-signal in preterm versus term infants.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- A Comprehensive and Broad Approach to Resting-State Functional Connectivity in Adult Patients with Mild Traumatic Brain Injury.AJNR. American journal of neuroradiology · 2024Article
- Reorganization of Dynamic Network in Stroke Patients and Its Potential for Predicting Motor Recovery.Neural plasticity · 2024Article
- Preliminary findings on long-term effects of fMRI neurofeedback training on functional networks involved in sustained attention.Brain and behavior · 2023Article
- The widespread action observation/execution matching system for facial expression processing.Human brain mapping · 2023Article
- The Cerebellum's Orchestra: Understanding the Functional Connectivity of Its Lobes and Deep Nuclei in Coordination and Integration of Brain Networks.Tomography (Ann Arbor, Mich.) · 2023Article
- Effective connectivity between deep brain stimulation targets in individuals with treatment-resistant depression.Brain communications · 2023Article
- Test-retest reliability of diffusion kurtosis imaging metrics in the healthy adult brain.Neuroimage. Reports · 2022Article
- Empirical evaluation of human fetal fMRI preprocessing steps.Network neuroscience (Cambridge, Mass.) · 2022Article
- Lag-Optimized Blood Oxygenation Level Dependent Cerebrovascular Reactivity Estimates Derived From Breathing Task Data Have a Stronger Relationship With Baseline Cerebral Blood Flow.Frontiers in neuroscience · 2022Article
- Investigating the sub-regions of the superior parietal cortex using functional magnetic resonance imaging connectivity.Insights into imaging · 2021Article
- Topography of hippocampal connectivity with sensorimotor cortex revealed by optimizing smoothing kernel and voxel size.PloS one · 2021Article
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1 author.
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Abstract
purposeSpatial smoothing is an essential pre-processing step in the process of analysing functional magnetic resonance imaging (fMRI) data, both during an experimental task or during resting-state fMRI (rsfMRI). The main benefit of this spatial smoothing step is to artificially increase the signal-to-noise ratio of the fMRI signal. Previous fMRI studies have investigated the impact of spatial smoothing on task fMRI data, while rsfMRI studies usually apply the same analytical process used for the task data. However, this study investigates changes in different rsfMRI analyses, such as ROI-to-ROI, seed-to-voxels and ICA analyses.
methodsNineteen healthy volunteers were scanned using rsfMRI with three applied smoothing kernels: 0 mm, 4 mm and 8 mm. Appropriate statistical comparisons were made.
resultsThe findings showed that spatial smoothing has a greater effect on rsfMRI data when analysed using seed-to-voxel-based analysis. The effect was less pronounced when analysing data using ROI-ROI or ICA analyses. The results demonstrated that even when analysing the data without the application of spatial smoothing, the results were significant compared with data analysed using a typical smoothing kernel. However, data analysed with lower-smoothing kernels produced greater negative correlations, particularly with the ICA analysis.
conclusionThe results suggest that a medium smoothing kernel (around 4 mm) may be preferable, as it is comparable with the 8 mm kernel in all of the analyses performed. It is also recommended that the researchers consider analysing the data using two different smoothing kernels, as this will help to confirm the significance of the results and avoid overestimating the findings.
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