ArticleNetwork neuroscience (Cambridge, Mass.)2020
Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Group Joint ICA (gjICA): A Method for Multimodal Fusion of Concurrent EEG and fMRI Data.Human brain mapping · 2026Article
- Differences in High-Frequency Connectivity Among Large-Scale Functional Networks Linked to Major Depressive Disorder and Treatment-Resistant Depression.Biological psychiatry global open science · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity.Frontiers in neuroscience · 2025Article
- Exploring Brain Activity in Different Mental Cognitive Workloads.Iranian journal of psychiatry · 2024Article
- Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy.Network neuroscience (Cambridge, Mass.) · 2024Article
- Article
- The contribution of the left precuneus to emotion memory in migraine without aura patients.Frontiers in neuroscience · 2022Article
- Abnormality of Functional Connections in the Resting State Brains of Schizophrenics.Frontiers in human neuroscience · 2022Article
- A Transcriptome Community-and-Module Approach of the Human Mesoconnectome.Entropy (Basel, Switzerland) · 2021Article
- Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning.Computational intelligence and neuroscience · 2021Review
- Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI.NeuroImage · 2020Article
- The link between steady-state EEG and rs-fMRI metrics in healthy young adults: The effect of macrovascular correction.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
5 authors.
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Abstract
Concurrent electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) bridge brain connectivity across timescales. During concurrent EEG-fMRI resting-state recordings, whole-brain functional connectivity (FC) strength is spatially correlated across modalities. However, cross-modal investigations have commonly remained correlational, and joint analysis of EEG-fMRI connectivity is largely unexplored. Here we investigated if there exist (spatially) independent FC networks linked between modalities. We applied the recently proposed hybrid connectivity independent component analysis (connICA) framework to two concurrent EEG-fMRI resting-state datasets (total 40 subjects). Two robust components were found across both datasets. The first component has a uniformly distributed EEG frequency fingerprint linked mainly to intrinsic connectivity networks (ICNs) in both modalities. Conversely, the second component is sensitive to different EEG frequencies and is primarily linked to intra-ICN connectivity in fMRI but to inter-ICN connectivity in EEG. The first hybrid component suggests that connectivity dynamics within well-known ICNs span timescales, from millisecond range in all canonical frequencies of FC
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