Objective: To evaluate the effects of changes in group delay from a click signal to a chirp signal on the 40-Hz Auditory Steady-State Response (ASSR) using magnetoencephalography (MEG).
Design: In this study, each participant was exposed to 10 chirp signals with gradually varying group delays from the CE chirp to the click at 60 dB nHL. The 40-Hz ASSR was measured using MEG and evaluated for amplitude and latency in the maximum signal channel at the click signal measured in each hemisphere.
Objective: This study aimed to clarify perceptions of the transition from pediatric to adult care for patients with childhood-onset epilepsy in Japan.
Methods: A qualitative descriptive study design was used. Semi-structured interviews were conducted with patients with childhood-onset epilepsy who had transitioned to adult care attending a tertiary hospital's adult outpatient care unit specializing in treating epilepsy.
Magnetoencephalography (MEG) provides crucial information in diagnosing focal epilepsy. However, dipole estimation, a commonly used analysis method for MEG, can be time-consuming since it necessitates neurophysiologists to manually identify epileptic spikes. To reduce this burden, we developed the automatic detection of spikes using deep learning in single center.
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