ArticleNeuroImage2016
A study of the electro-haemodynamic coupling using simultaneously acquired intracranial EEG and fMRI data in humans.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Mapping interictal discharges using intracranial EEG-fMRI to predict postsurgical outcomes.Brain : a journal of neurology · 2024Article
- Modeling the Hemodynamic Response Function Using EEG-fMRI Data During Eyes-Open Resting-State Conditions and Motor Task Execution.Brain topography · 2022Article
- Clinical safety of intracranial EEG electrodes in MRI at 1.5 T and 3 T: a single-center experience and literature review.Neuroradiology · 2021Review
- Mapping Epileptic Networks Using Simultaneous Intracranial EEG-fMRI.Frontiers in neurology · 2021Article
- Temperature Measurements in the Vicinity of Human Intracranial EEG Electrodes Exposed to Body-Coil RF for MRI at 1.5T.Frontiers in neuroscience · 2020Article
- Changing concepts in presurgical assessment for epilepsy surgery.Nature reviews. Neurology · 2019Review
- Hydrogel-Based Organic Subdural Electrode with High Conformability to Brain Surface.Scientific reports · 2019Article
- BOLD mapping of human epileptic spikes recorded during simultaneous intracranial EEG-fMRI: The impact of automated spike classification.NeuroImage · 2019Article
- Exploring the advantages of multiband fMRI with simultaneous EEG to investigate coupling between gamma frequency neural activity and the BOLD response in humans.Human brain mapping · 2018Article
- EEG-Informed fMRI: A Review of Data Analysis Methods.Frontiers in human neuroscience · 2018Review
- A novel scheme for the validation of an automated classification method for epileptic spikes by comparison with multiple observers.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2017Article
- Phase-amplitude coupling and the BOLD signal: A simultaneous intracranial EEG (icEEG) - fMRI study in humans performing a finger-tapping task.NeuroImage · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
In current fMRI studies designed to map BOLD changes related to interictal epileptiform discharges (IED), which are recorded on simultaneous EEG, the information contained in the morphology and field extent of the EEG events is exclusively used for their classification. Usually, a BOLD predictor based on IED onset times alone is constructed, effectively treating all events as identical. We used intracranial EEG (icEEG)-fMRI data simultaneously recorded in humans to investigate the effect of including any of the features: amplitude, width (duration), slope of the rising phase, energy (area under the curve), or spatial field extent (number of contacts over which the sharp wave was observed) of the fast wave of the IED (the sharp wave), into the BOLD model, to better understand the neurophysiological origin of sharp wave-related BOLD changes, in the immediate vicinity of the recording contacts. Among the features considered, the width was the only one found to explain a significant amount of additional variance, suggesting that the amplitude of the BOLD signal depends more on the duration of the underlying field potential (reflected in the sharp wave width) than on the degree of neuronal activity synchrony (reflected in the sharp wave amplitude), and, consequently, that including inter-event variations of the sharp wave width in the BOLD signal model may increase the sensitivity of forthcoming EEG-fMRI studies of epileptic activity.
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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.