Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Antti Ahonen"'
Autor:
Jyrki P. Mäkelä, Jussi Nurminen, Eero Pekkonen, Antti Ahonen, Katja Airaksinen, Samu Taulu, Jarkko Luoma
Publikováno v:
Clinical Neurophysiology. 126:748-755
Objective Cortico-muscular coherence (CMC) is thought to reflect the interplay between cortex and muscle in motor coordination. In Parkinson's disease (PD) patients, levodopa has been shown to enhance CMC. This study examined whether subthalamic nucl
Publikováno v:
IEEE Transactions on Biomedical Engineering. 60:2559-2566
Recently, the signal space separation (SSS) method, based on the multipole expansion of the magnetic field, has become increasingly important in magnetoencephalography (MEG). Theoretical arguments and simulations suggest that increasing the asymmetry
Autor:
Juha Hassel, Risto J. Ilmoniemi, Jyrki P. Mäkelä, Lauri Parkkonen, Juhani Dabek, Juho Luomahaara, Jaakko O. Nieminen, Juha Simola, Panu T. Vesanen, Andrey Zhdanov, J. Penttilä, Koos C. J. Zevenhoven, Antti Ahonen
Publikováno v:
Magnetic Resonance in Medicine. 69:1795-1804
Ultra-low-field MRI uses microtesla fields for signal encoding and sensitive superconducting quantum interference devices for signal detection. Similarly, modern magnetoencephalography (MEG) systems use arrays comprising hundreds of superconducting q
Autor:
Jyrki P. Mäkelä, Katja Airaksinen, Jussi Nurminen, Antti Ahonen, Alfons Schnitzler, Samu Taulu, Eero Pekkonen
Publikováno v:
Hum Brain Mapp
Motor symptoms of Parkinson's disease (PD) can be relieved by deep brain stimulation (DBS). The mechanism of action of DBS is largely unclear. Magnetoencephalography (MEG) studies on DBS patients have been unfeasible because of strong magnetic artifa
Publikováno v:
Brain Topography
We have combined Signal Space Separation and beamformers (SSS beamformer). The SSS beamformer was tested by simulation in the presence of simulated brain noise. The SSS beamformer performs at least as well as the conventional beamformer, provided tha
Publikováno v:
Journal of Neuroscience Methods. 177:203-211
Head, jaw and tongue movements contribute to speech artifacts in magnetoencephalography (MEG). Their sources lay close to MEG sensors, therefore, the spatio-temporal signal space separation method (tSSS), specifically suppressing nearby artifacts, ca
Publikováno v:
International Congress Series. 1300:245-248
The total information derived from Shannon's theory of communication provides a completely new index to characterize multichannel MEG data. The measured data and sensor noises are first transformed into independent virtual channels. Thereafter, the t
Publikováno v:
International Congress Series. 1300:345-348
Abnormal low-frequency entrainment in sensorimotor cortical areas of Parkinson's disease (PD) patients has been observed in MEG recordings. Efficacy of high-frequency stimulation of subthalamic nucleus (STN) in treating PD may result from blocking su
Autor:
Jukka Nenonen, Tomer Gazit, Alexandra Koptelova, Samu Taulu, Anna V. Butorina, Antti Ahonen, Ritva Paetau, Juha Simola, Jyrki P. Mäkelä, Mordekhay Medvedovsky
Publikováno v:
IEEE journal of biomedical and health informatics. 20(2)
Head movements during an MEG recording are commonly considered an obstacle. In this computer simulation study, we introduce an approach, the virtual MEG helmet (VMH), which employs the head movements for data quality improvement. With a VMH, a denser
Publikováno v:
NeuroReport. 17:957-962
Discriminative responses to tones, harmonics, and syllables in the left hemisphere were measured with magnetoencephalography in neonates, 6-month-old infants, and 12-month-old infants using the oddball paradigm. Real-time head position tracking, sign