Background: In simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), safety of the EEG equipment is ensured by the manufacturer only for localizers and fMRI sequences. To conduct a clinically feasible simultaneous EEG-fMRI study, other sequences, e.g. anatomical and B0-correction sequences, have to be acquired in the same imaging session.
Purpose: To measure the temperature increase of the electrodes in different size EEG caps in a phantom and volunteers during magnetic resonance imaging (MRI) sequences typically used in clinical studies.
Material And Methods: A phantom with EEG caps of size 52, 56, and 60 was imaged using several sequences in two 3 T MRI scanners to determine the maximum and average temperature increases in the electrodes. Additionally, three volunteer studies were performed for the EEG caps of sizes 56 and 60. The sequences were gradient echo based echo planar imaging sequence, T2-weighted turbo spin echo (T2-TSE), spin echo multiecho for B0-correction, diffusion tensor imaging and T1-weighted 3D sequences.
Results: In phantom studies the maximum temperature increase was 4.1℃ with a mean of 1.2 ± 1.1℃. In volunteer studies, the maximum temperature measured was 35.6℃ and the maximum temperature rise was 2.1℃ with a mean of 0.9 ± 0.7℃. Both were observed with a T2-TSE sequence.
Conclusion: The temperature of the electrodes did not exceed the limits set by the IEC 60601-1 standard (43℃) or manufacturer (45℃), thus indicating a safe EEG-fMRI protocol in this respect.
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http://dx.doi.org/10.1177/0284185114536385 | DOI Listing |
Comput Biol Med
January 2025
Department of Software Engineering, Computer Science School, University of Granada, Granada, Spain; Research Centre for Information and Communication Technologies (CITIC-UGR), University of Granada, Granada, Spain.
Background: In the realm of emotion detection, comfort and portability play crucial roles in enhancing user experiences. However, few works study the reduction in the number of electrodes used to detect emotions, and none of them compare the location of these electrodes with a commercial low-cost headband.
Methods: This work explores the potential of wearable EEG devices, specifically the Muse S headband, for emotion classification in terms of valence and arousal.
Cureus
October 2024
Department of Occupational Therapy, Faculty of Rehabilitation, Niigata University of Health and Welfare, Niigata, JPN.
Objective Virtual reality (VR) games with the Leap Motion Controller (LMC) are used in clinical practice for cognitive rehabilitation to improve attentional function. However, the effects of VR games using the LMC on brain activity related to attentional function have not yet been elucidated. This study aimed to elucidate the effects of a VR game with the LMC on brain activity related to attentional function.
View Article and Find Full Text PDFNeuroscience
November 2024
Inserm UMR 1093-CAPS, UFR des Sciences du Sport, Université de Bourgogne, Dijon, France; IIT@Unife Center for Translational Neurophysiology, Istituto Italiano Di Tecnologia, Ferrara, Italy.
This study investigates whether postural equilibration follows the same principles of motor resonance as goal-oriented actions, namely, whether an individual activates the same neuronal substrates when experiencing postural perturbation as when observing another individual in this condition. To address this question, we examined electroencephalographic dynamics while subjects observed point-light displays featuring an unstable human display, a stable human display, and their respective scrambled counterparts lacking shape information and biological motion. We focused on theta band (4-7 Hz), which is a fundamental frequency for modulating brain activity during challenging balance tasks and reflects postural stability monitoring.
View Article and Find Full Text PDFbioRxiv
December 2024
Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Significance: Consistent and accurate probe placement is a crucial step towards enhancing the reproducibility of longitudinal and group-based functional neuroimaging studies. While the selection of headgear is central to these efforts, there does not currently exist a standardized design that can accommodate diverse probe configurations and experimental procedures.
Aim: We aim to provide the community with an open-source software pipeline for conveniently creating low-cost, 3-D printable neuroimaging head caps with anatomically significant landmarks integrated into the structure of the cap.
Neurophotonics
July 2024
Boston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Accurate sensor placement is vital for non-invasive brain imaging, particularly for functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT), which lack standardized layouts such as those in electroencephalography (EEG). Custom, manually prepared probe layouts on textile caps are often imprecise and labor intensive. We introduce a method for creating personalized, 3D-printed headgear, enabling the accurate translation of 3D brain coordinates to 2D printable panels for custom fNIRS and EEG sensor layouts while reducing costs and manual labor.
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