ArticleBioengineering (Basel, Switzerland)2024
Measurement of the Mapping between Intracranial EEG and fMRI Recordings in the Human Brain.
Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Static and Dynamic Resting-State fMRI Connectivity Show Frequency-Resolved Associations With Intracranial EEG Connectivity.Human brain mapping · 2026Article
- Scale-Free Neurodynamics as Functional Fingerprint of Brain Regions.Bioengineering (Basel, Switzerland) · 2026Article
- Review
- Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026Review
- The potential of laminar functional MRI in refining the understanding of epilepsy in humans.Brain : a journal of neurology · 2025Review
- Intracranial directed connectivity links subregions of the prefrontal cortex to major depression.Nature communications · 2025Article
- Intracranial Directed Connectivity Links Subregions of the Prefrontal Cortex to Major Depression.medRxiv : the preprint server for health sciences · 2024Article
- Adiabatic dynamic causal modelling.NeuroImage · 2021Article
- Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus.NeuroImage · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 3 countries.
Funding
Abstract
There are considerable gaps in our understanding of the relationship between human brain activity measured at different temporal and spatial scales. Here, electrocorticography (ECoG) measures were used to predict functional MRI changes in the sensorimotor cortex in two brain states: at rest and during motor performance. The specificity of this relationship to spatial co-localisation of the two signals was also investigated. We acquired simultaneous ECoG-fMRI in the sensorimotor cortex of three patients with epilepsy. During motor activity, high gamma power was the only frequency band where the electrophysiological response was co-localised with fMRI measures across all subjects. The best model of fMRI changes across states was its principal components, a parsimonious description of the entire ECoG spectrogram. This model performed much better than any others that were based either on the classical frequency bands or on summary measures of cross-spectral changes. The region-specific fMRI signal is reflected in spatially and spectrally distributed EEG activity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.