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Purpose: To explore if background infraslow activity (ISA) can be retrieved from archived magnetoencephalographic (MEG) recordings and its potential clinical relevance.
Methods: Archived recordings of 15 patients with epilepsy and 10 normal subjects were evaluated for MEG/EEG delta (0.5-3 Hz) and ISA (0.01-0.1 Hz). The data were obtained on a Neuromag/Elekta system with 204 planar gradiometers and 102 magnetometer sensors and also 60 EEG channels. To remove artifacts, all MEG files were temporal signal space separation filtered. The data were then analyzed with the BESA Research software.
Results: Infraslow activity was present in all files for MEG and EEG. Good concordance between EEG and MEG ISA was seen with delta for laterality and with clinical features. Delta frequencies were always less than 2 Hz. During sleep, an inverse relationship between delta and ISA occurred. With increasing depth of sleep, delta activity increased while ISA decreased and vice versa. Intermittent higher amplitude transients, arising from background, were also seen but their nature is at present unknown. Clinically relevant ictal onset baseline shifts were likewise observed.
Conclusion: Infraslow activity is a normal segment of the cerebral electromagnetic frequency spectrum. It follows physiologic rules and can be related to areas of pathology. This is in accord with previously published EEG observations and further studies of this segment of the electromagnetic frequency spectrum for its origin and changes in health and disease are indicated.
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http://dx.doi.org/10.1097/WNP.0000000000000246 | DOI Listing |
BMJ Open
August 2025
Surgical Sciences, University of Otago-Dunedin Campus, Dunedin, New Zealand.
Introduction: Chronic low back pain (CLBP) is a disabling condition worldwide, with unsatisfactory treatment outcomes, warranting newer therapies. Brain imaging demonstrates altered functional connectivity among three pain processing networks; salience network (SN), default mode network (DMN) and somatomotor network (SMN). Treatments targeted to change the functional connectivity among these networks may produce clinical benefits.
View Article and Find Full Text PDFClin Neurophysiol
August 2025
Centre of Cognitive Neuroscience, University of Salzburg, Salzburg, Austria.
Nasal breathing can entrain fast oscillations in the prefrontal cortex and limbic systems, as experiments with rodents and intracranial EEG recordings in patients have shown. Recently, it was demonstrated that the activity of the amygdala and hippocampus can also be studied non-invasively, using functional magnetic resonance imaging (fMRI). When simultaneously recording BOLD signals, respiration and cardiac RR interval (RRI) time courses, and applying a multivariate autoregressive (MVAR) model combined with Granger causality analysis, it becomes possible to assess directed coupling, or information flow, between brain structures and the body organs (i.
View Article and Find Full Text PDFCommun Biol
July 2025
Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health Research, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
The activities of the human brain vary across different timescales, exhibiting scale-free dynamics. Previous research has highlighted the psychological and physiological significance of brain dynamical fluctuations across the Delta to Gamma bands. However, there has been less focus on infra-slow scale-free dynamics, e.
View Article and Find Full Text PDFHippocampus
July 2025
Fac. Cs. Exactas-INTIA, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNCPBA), Tandil, Buenos Aires, Argentina.
Neurons linked to spatial navigation and toroidal dynamics in the mouse medial entorhinal cortex (MEC) show unexpected minute-scale (< 0.01 Hz) oscillatory sequences without neural organization or clear relation to behavior. However, the conditions sustaining these' ultraslow' equences remain uncertain.
View Article and Find Full Text PDFA reduction in sleep spindles, a major electrophysiological characteristic of Non-Rapid Eye Movement sleep, has been suggested as a potential biomarker of schizophrenia. While research has primarily focused on the spindle quantity, recent studies have begun to explore their temporal dynamics throughout the night. In healthy individuals, sleep spindles fluctuate on an infraslow ∼50-second timescale, alternating between phases of high and low spindle activity.
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