Publications by authors named "E Kronberg"

Purpose Of The Review: Magnetoencephalography (MEG) is a functional neuroimaging technique that records neurophysiology data with millisecond temporal resolution and localizes it with subcentimeter accuracy. Its capability to provide high resolution in both of these domains makes it a powerful tool both in basic neuroscience as well as clinical applications. In neurology, it has proven useful in its ability to record and localize epileptiform activity.

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Selective attention and conflict monitoring are daily human phenomena, yet the spatial and temporal neurological underpinnings of these processes are not fully understood. Current literature suggests these executive functions occur via diverse and highly interconnected neural networks, including top-down, bottom-up, and conflict-control loops. To investigate the spatiotemporal activity of these processes, we collected neuromagnetic data using magnetoencephalography (MEG) in 28 healthy adults (age 19-36), while they performed a computerized Stroop task based on color naming.

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Introduction: Memory-associated neural circuits produce oscillatory events including theta bursts (TBs), sleep spindles (SPs), and slow waves (SWs) in sleep electroencephalography (EEG). Changes in the "coupling" of these events may indicate early Alzheimer's disease (AD) pathogenesis.

Methods: We analyzed 205 aging adults using single-channel sleep EEG, cerebrospinal fluid (CSF) AD biomarkers, and Clinical Dementia Rating® (CDR®) scale.

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Compact optically-pumped magnetometers (OPMs) are now commercially available with noise floors reaching 10 fT/Hz. However, to be used effectively for magnetoencephalography (MEG), dense arrays of these sensors are required to operate as an integrated turn-key system. In this study, we present the HEDscan, a 128-sensor OPM MEG system by FieldLine Medical, and evaluate its sensor performance with regard to bandwidth, linearity, and crosstalk.

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Article Synopsis
  • The study investigates the relationship between sleep neural circuits and early signs of Alzheimer's disease (AD) by analyzing sleep EEG patterns in aging adults.
  • Data from 205 participants revealed that cognitive impairment correlates with reduced sleep oscillations (specifically, theta bursts and sleep spindles) and lower coupling precision between specific neural circuits.
  • Findings suggest that disruptions in sleep-related memory processing circuits may signal the onset of AD, as these changes are linked to amyloid positivity and elevated levels of AD-related biomarkers.
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