ArticleScientific reports2020
Surface-based analysis increases the specificity of cortical activation patterns and connectivity results.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
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Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Subcortico-Cortical Dysconnectivity in ADHD: A Voxel-Wise Mega-Analysis Across Multiple Cohorts.The American journal of psychiatry · 2024Pooled it
- History of childhood trauma enhances the detrimental effects of recent stressors on brain structure and function in major depressive disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
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- Atypical Development of Functional Brain Networks in Neonates with Congenital Heart Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Using fMRI Representations of Single Objects to Predict Multiple Objects in Working Memory in Human Occipitotemporal and Posterior Parietal Cortices.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Anatomically constrained volumetric smoothing enhances fMRI reliability while avoiding smoothing artifacts.Frontiers in neuroimaging · 2026Article
- Representing Visual Objects, Attention, and Load in Human Occipito-temporal and Posterior Parietal Cortices.Journal of cognitive neuroscience · 2025Article
- Connectome-Based Predictive Models of General and Specific Executive Functions.Human brain mapping · 2025Article
- Transformed Visual Working Memory Representations in Human Occipitotemporal and Posterior Parietal Cortices.eNeuro · 2025Article
- White matter and cortical gray matter microstructural alterations in migraine: a NODDI and DTI analysis.The journal of headache and pain · 2025Article
- Normative structural connectome constrains spreading transient brain activity in generalized epilepsy.BMC medicine · 2025Article
- Interactive shape and color representation in visual working memory for colored objects in the human occipitotemporal cortex.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Simultaneous confidence regions for image excursion sets: A validation study with applications in fMRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Nonlinear kernel-based fMRI activation detection.Frontiers in neuroimaging · 2025Article
- Individual patterns of functional connectivity in neonates as revealed by surface-based Bayesian modeling.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A deep neural network for adaptive spatial smoothing of task fMRI data.Frontiers in neuroimaging · 2025Article
- TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-Based Data.Journal of nonparametric statistics · 2025Article
- Replicability of a resting-state functional connectivity study in profound early blindness.Frontiers in systems neuroscience · 2025Article
- Surface-based Analyses of Diffusional Kurtosis Imaging in Amyotrophic Lateral Sclerosis: Relationship with Onset Subtypes.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- The human posterior parietal cortices orthogonalize the representation of different streams of information concurrently coded in visual working memory.PLoS biology · 2024Article
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5 authors.
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Abstract
Spatial smoothing of functional magnetic resonance imaging (fMRI) data can be performed on volumetric images and on the extracted surface of the brain. Smoothing on the unfolded cortex should theoretically improve the ability to separate signals between brain areas that are near together in the folded cortex but are more distant in the unfolded cortex. However, surface-based method approaches (SBA) are currently not utilized as standard procedure in the preprocessing of neuroimaging data. Recent improvements in the quality of cortical surface modeling and improvements in its usability nevertheless advocate this method. In the current study, we evaluated the benefits of an up-to-date surface-based smoothing in comparison to volume-based smoothing. We focused on the effect of signal contamination between different functional systems using the primary motor and primary somatosensory cortex as an example. We were particularly interested in how this signal contamination influences the results of activity and connectivity analyses for these brain regions. We addressed this question by performing fMRI on 19 subjects during a tactile stimulation paradigm and by using simulated BOLD responses. We demonstrated that volume-based smoothing causes contamination of the primary motor cortex by somatosensory cortical responses, leading to false positive motor activation. These false positive motor activations were not found by using surface-based smoothing for reasonable kernel sizes. Accordingly, volume-based smoothing caused an exaggeration of connectivity estimates between these regions. In conclusion, this study showed that surface-based smoothing decreases signal contamination considerably between neighboring functional brain regions and improves the validity of activity and connectivity results.
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