The fetal magnetoencephalogram (fMEG) is measured in the presence of large interference from the maternal and fetal magnetocardiograms. This interference can be efficiently attenuated by orthogonal projection of the corresponding spatial vectors. However, the projection operators redistribute the fMEG signal among sensors. Although redistribution can be readily accounted for in the forward solution, visual interpretation of the fMEG signal topography is made difficult. We have devised a general, model-independent method for correction of the redistribution effect that utilizes the assumption that we know in which channels the fMEG should be negligible (such channels are distant from the known fetal head position). In a simplified case where the fMEG can be explained by equivalent current dipoles, the correction can also be obtained from fitting the dipoles to the fMEG signal. The corrected fMEG signal topography then corresponds to the dipole forward solution, but without orthogonal projection. We illustrate the redistribution correction on an example of experimentally measured flash evoked fMEG.
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Appetite
September 2024
Department of Psychosomatic Medicine and Psychotherapy, University Hospital Tuebingen, Tuebingen, Germany; Centre of Excellence for Eating Disorders (KOMET), University Hospital Tuebingen, Tuebingen, Germany; German Center for Mental Health (DZPG), Tuebingen, Baden-Wuerttemberg, Germany.
Background: A growing body of evidence suggests that children of mothers with eating disorders (EDs) have a greater risk of early feeding problems. Recognizing and reacting adequately to the infant's signals during feeding is crucial for the child's development of internal and external regulatory mechanisms of food intake. Parental EDs might affect this ability.
View Article and Find Full Text PDFFront Physiol
December 2021
Department of Neural Dynamics and Magnetoencephalography, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
So far, surface electromyography (sEMG) has been the method of choice to detect and evaluate muscle fatigue. However, recent advancements in non-cryogenic quantum sensors, such as optically pumped magnetometers (OPMs), enable interesting possibilities to flexibly record biomagnetic signals. Yet, a magnetomyographic investigation of muscular fatigue is still missing.
View Article and Find Full Text PDFNeurosci Lett
April 2021
OB/GYN, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, United States. Electronic address:
Background: Investigation of fetal evoked response to auditory or visual stimuli is an important means of understanding the developmental stages and potential problems in prenatal life. It is, however, not without certain imperfections. The biggest challenge with fetal evoked response is its low signal to noise ratio.
View Article and Find Full Text PDFPLoS One
September 2020
Ob/Gynecology Department, SARA Research Center, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.
Background: Auditory steady-state responses (ASSRs) are ongoing evoked brain responses to continuous auditory stimuli that play a role for auditory processing of complex sounds and speech perception. Transient auditory event-related responses (AERRs) have previously been recorded using fetal magnetoencephalography (fMEG) but involve different neurological pathways. Previous studies in children and adults demonstrated that the cortical components of the ASSR are significantly affected by state of consciousness and by maturational changes in neonates and young infants.
View Article and Find Full Text PDFJ Neurosci Methods
April 2020
OB/GYN, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Background: A frequency dependent subtraction method, SUBTR, is developed to remove maternal and fetal magnetocardiography (mMCG and fMCG) interference from fetal magnetoencephalography (fMEG). But channels close to fetal head cannot be used as references for SUBTR in order to protect fMEG from subtraction and this results in cardiac residual when these channels have important fMCG frequency components. Cardiac residual creates noise in evoked response (ER) which results in poor ER detection.
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