Background: The combination of EEG and ultra-high-field (7 T and above) fMRI holds the promise to relate electrophysiology and hemodynamics with greater signal to noise level and at higher spatial resolutions than conventional field strengths. Technical and safety restrictions have so far resulted in compromises in terms of MRI coil selection, resulting in reduced, signal quality, spatial coverage and resolution in EEG-fMRI studies at 7 T.
New Method: We adapted a 64-channel MRI-compatible EEG cap so that it could be used with a closed 32-channel MRI head coil thus avoiding several of these compromises. We compare functional and anatomical as well as the EEG quality recorded with this adapted setup with those recorded with a setup that uses an open-ended 8-channel head-coil.
Results: Our set-up with the adapted EEG cap inside the closed 32 channel coil resulted in the recording of good quality EEG and (f)MRI data. Both functional and anatomical MRI images show no major effects of the adapted EEG cap on MR signal quality. We demonstrate the ability to compute ERPs and changes in alpha and gamma oscillations from the recorded EEG data.
Comparison With Existing Methods: Compared to MRI recordings with an 8-channel open-ended head-coil, the loss in signal quality of the MRI images related to the adapted EEG cap is considerably reduced.
Conclusions: The adaptation of the EEG cap permits the simultaneous recording of good quality whole brain (f)MRI data using a 32 channel receiver coil, while maintaining the quality of the EEG data.
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http://dx.doi.org/10.1016/j.jneumeth.2019.108518 | DOI Listing |
Neurophysiol Clin
January 2025
Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK; Department of Neurosurgery, Great Ormond Street Hospital for Children, London, WC1N 3JH, UK.
Objectives: Computer-assisted planning (CAP) allows faster SEEG planning and improves grey matter sampling, orthogonal drilling angles to the skull, reduces risk scores and minimises intracerebral electrode length. Incorporating prior SEEG trajectories enhances CAP planning, refining output with centre-specific practices. This study significantly expands on the previous work, compares priors libraries between two centres, and describes differences between SEEG in adults and children in these centres.
View Article and Find Full Text PDFHeliyon
January 2025
School of Music, College of Fine Arts, University of Tehran, Tehran, Iran.
Sleep stages classification one of the essential factors concerning sleep disorder diagnoses, which can contribute to many functional disease treatments or prevent the primary cognitive risks in daily activities. In this study, A novel method of mapping EEG signals to music is proposed to classify sleep stages. A total of 4.
View Article and Find Full Text PDFMed Biol Eng Comput
November 2024
Department of Biomedical Engineering, Indian Institute of Technology, Hyderabad, India.
Source localization in EEG necessitates co-registering the EEG sensor locations with the subject's MRI, where EEG sensor locations are typically captured using electromagnetic tracking or 3D scanning of the subject's head with EEG cap, using commercially available 3D scanners. Both methods have drawbacks, where, electromagnetic tracking is slow and immobile, while 3D scanners are expensive. Photogrammetry offers a cost-effective alternative but requires multiple photos to sample the head, with good spatial sampling to adequately reconstruct the head surface.
View Article and Find Full Text PDFMeat Sci
October 2024
Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France.
EEG studies have suggested that cattle perceive pain when bled without stunning. The present study on bleeding without stunning, compared cows that had received a local anaesthetic on the site of the bleeding cut (Lurocaine; Luro cows) one hour before bleeding with a 35 cm knife, with cows that had not (saline: Placebo cows). Various physiological indicators potentially related to pain or stress were evaluated.
View Article and Find Full Text PDFNeurophysiol Clin
November 2024
Department of Neurosciences, Mater Misericordiae Hospital, Brisbane, Queensland, Australia; Mater Research Institute, Faculty of Medicine, University of Queensland, Australia; Queensland Brain Institute, University of Queensland, Australia.
Surgical resection for epilepsy often fails due to incomplete Epileptogenic Zone Network (EZN) localization from scalp electroencephalography (EEG), stereo-EEG (SEEG), and Magnetic Resonance Imaging (MRI). Subjective interpretation based on interictal, or ictal recordings limits conventional EZN localization. This study employs multimodal analysis using high-density-EEG (HDEEG), Magnetoencephalography (MEG), functional-MRI (fMRI), and SEEG to overcome these limitations in a patient with drug-resistant MRI-negative focal epilepsy.
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