ArticleHuman brain mapping2016
Multimodal description of whole brain connectivity: A comparison of resting state MEG, fMRI, and DWI.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 88 citations in OpenAlex.
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- Decoding brain structure-function dynamics in health and in psychosis via an autoencoder.Scientific reports · 2025Article
- EEG Signal Processing Techniques and Applications-2nd Edition.Sensors (Basel, Switzerland) · 2025Article
- Identification of brain-like complex information architectures in embryonic tissue ofCommunicative & integrative biology · 2025Article
- Music Familiarization Elicits Functional Connectivity Between Right Frontal/Temporal and Parietal Areas in the Theta and Alpha Bands.Brain topography · 2024Article
- Brain identification of IBS patients based on GBDT and multiple imaging techniques.Physical and engineering sciences in medicine · 2024Article
- Similarity between structural and proxy estimates of brain connectivity.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- CiftiStorm pipeline: facilitating reproducible EEG/MEG source connectomics.Frontiers in neuroscience · 2024Article
- A Model to Study Time Lagged Interactions, Source Connectivity and Source Activities Using Multi-channel EEG.Brain topography · 2023Article
- Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease.PLoS biology · 2023Article
- Multi-modal and multi-model interrogation of large-scale functional brain networks.NeuroImage · 2023Article
- Structural basis of envelope and phase intrinsic coupling modes in the cerebral cortex.NeuroImage · 2023Article
- Functional brain network properties of healthy full-term newborns quantified by scalp and source-reconstructed EEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Multimodal multilayer network centrality relates to executive functioning.Network neuroscience (Cambridge, Mass.) · 2023Article
- Assessing the Repeatability of Multi-Frequency Multi-Layer Brain Network Topologies Across Alternative Researcher's Choice Paths.Neuroinformatics · 2023Article
- Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex.PLoS biology · 2022Article
- Reproducibility of graph measures derived from resting-state MEG functional connectivity metrics in sensor and source spaces.Human brain mapping · 2022Article
- Structural connectome constrained graphical lasso for MEG partial coherence.Network neuroscience (Cambridge, Mass.) · 2022Article
- Investigating the spectral features of the brain meso-scale structure at rest.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structural and functional connectivity (SC and FC) have received much attention over the last decade, as they offer unique insight into the coordination of brain functioning. They are often assessed independently with three imaging modalities: SC using diffusion-weighted imaging (DWI), FC using functional magnetic resonance imaging (fMRI), and magnetoencephalography/electroencephalography (MEG/EEG). DWI provides information about white matter organization, allowing the reconstruction of fiber bundles. fMRI uses blood-oxygenation level-dependent (BOLD) contrast to indirectly map neuronal activation. MEG and EEG are direct measures of neuronal activity, as they are sensitive to the synchronous inputs in pyramidal neurons. Seminal studies have targeted either the electrophysiological substrate of BOLD or the anatomical basis of FC. However, multimodal comparisons have been scarcely performed, and the relation between SC, fMRI-FC, and MEG-FC is still unclear. Here we present a systematic comparison of SC, resting state fMRI-FC, and MEG-FC between cortical regions, by evaluating their similarities at three different scales: global network, node, and hub distribution. We obtained strong similarities between the three modalities, especially for the following pairwise combinations: SC and fMRI-FC; SC and MEG-FC at theta, alpha, beta and gamma bands; and fMRI-FC and MEG-FC in alpha and beta. Furthermore, highest node similarity was found for regions of the default mode network and primary motor cortex, which also presented the highest hubness score. Distance was partially responsible for these similarities since it biased all three connectivity estimates, but not the unique contributor, since similarities remained after controlling for distance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.