A study of the electro-haemodynamic coupling using simultaneously acquired intracranial EEG and fMRI data in humans

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Titel: A study of the electro-haemodynamic coupling using simultaneously acquired intracranial EEG and fMRI data in humans
Autoren: Umair J. Chaudhary, Louis Lemieux, Tim M. Tierney, Patrícia Figueiredo, David W. Carmichael, Teresa Murta, Li Hu, Matthew C. Walker
Quelle: Neuroimage
Verlagsinformationen: Elsevier BV, 2016.
Publikationsjahr: 2016
Schlagwörter: SHARP WAVES, Drug Resistant Epilepsy/physiopathology, Drug Resistant Epilepsy, EVENT-RELATED FMRI, Electro-haemodynamic coupling, Electroencephalography/methods, Electroencephalography Phase Synchronization, Electroencephalography Phase Synchronization/physiology, Magnetic Resonance Imaging/methods, Sharp wave, 0302 clinical medicine, Bold, NEGATIVE BOLD, fMRI, Brain, Electroencephalography, FUNCTIONAL MRI, LOCAL-FIELD POTENTIALS, Magnetic Resonance Imaging, Nuclear Medicine & Medical Imaging, Neurology, INTERICTAL EPILEPTIFORM DISCHARGES, NEURONAL-ACTIVITY, BOLD SIGNAL, Radiology, Life Sciences & Biomedicine, Adult, Sharp Wave, Functional Neuroimaging/methods, Cognitive Neuroscience, Neuroimaging, Article, 03 medical and health sciences, Fmri, FIRING PATTERNS, Humans, Intracranial Eeg, Science & Technology, Intracranial EEG, Functional Neuroimaging, Neurosciences, Neurovascular Coupling/physiology, Brain/diagnostic imaging, FOCAL EPILEPSY, Neurovascular Coupling, Electro-haemodynamic Coupling, Neurosciences & Neurology, BOLD
Beschreibung: 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.
Publikationsart: Article
Conference object
Other literature type
Sprache: English
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2016.08.001
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/27498370
http://ir.psych.ac.cn/handle/311026/20773
https://core.ac.uk/display/75721796
https://discovery.ucl.ac.uk/1508899/
https://dblp.uni-trier.de/db/journals/neuroimage/neuroimage142.html#MurtaHTCWCFL16
https://www.ncbi.nlm.nih.gov/pubmed/27498370
https://europepmc.org/articles/PMC5102699
https://discovery-pp.ucl.ac.uk/id/eprint/1508899/
Rights: CC BY
Dokumentencode: edsair.doi.dedup.....c8e10454705ed3a1f435c94f8d114881
Datenbank: OpenAIRE
Beschreibung
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.
ISSN:10538119
DOI:10.1016/j.neuroimage.2016.08.001