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899 results on '"Yoshimine T"'

15. Cerebral motor control in patients with gliomas around the central sulcus studied with spatially filtered magnetoencephalography

Author

Taniguchi, M., Kato, A., Ninomiya, H., Hirata, M., Cheyne, D., Robinson, S.E., Maruno, M., Saitoh, Y., Kishima, H., and Yoshimine, T.

Subjects
Gliomas -- Research -- Physiological aspects, Health, Psychology and mental health, Physiological aspects, Research
Abstract

J Neurol Neurosurg Psychiatry 2004;75:466-471. doi: 10.1136/jnnp.2002.01834 Objective: Application of spatially filtered magnetoencephalography (MEG) to investigate changes in the mechanism of cerebral motor control in patients with tumours around the [...]

Published
2004

35. Functional Hemispherectomy

Author

Amami Kato, Kishima, H., Okinaga, T., Ninomiya, H., Hashimoto, N., Oshino, S., Hirata, M., Saitoh, Y., Kagawa, N., Imai, K., and Yoshimine, T.

Subjects
Surgery, Neurology (clinical)
Published
2006

40. Prediction of three-dimensional arm trajectories based on ECoG signals recorded from human sensorimotor cortex

Author

Nakanishi, Yasuhiko, Yanagisawa, T., shin, duk, Fukuma, R., Chin, Chiyou, Kambara, Hiroyuki, Yoshimura, Natsue, Hirata, M., Yoshimine, T., and Koike, Yasuharu

Subjects
Male, Wrist Joint, Anatomy and Physiology, lcsh:Medicine, Electroencephalography, Brain mapping, Behavioral Neuroscience, Engineering, Elbow, lcsh:Science, Electrocorticography, Physics, Cerebral Cortex, Brain Mapping, Multidisciplinary, medicine.diagnostic_test, Linear model, Motor Cortex, Middle Aged, medicine.anatomical_structure, Neurology, Muscle Spasticity, Trajectory, Arm, Medicine, Algorithms, Motor cortex, Research Article, Biotechnology, Shoulder, Neuroprosthetics, Adolescent, Movement, Biomedical Engineering, Neurophysiology, Bioengineering, Neurological System, Hypesthesia, Motion, Developmental Neuroscience, Neurorehabilitation and Trauma, medicine, Humans, neoplasms, Biology, Neurorehabilitation, Aged, Motor Systems, Computational Neuroscience, business.industry, lcsh:R, Pattern recognition, Signal Processing, Linear Models, lcsh:Q, Artificial intelligence, Physiotherapy and Rehabilitation, business, Neuroscience
Abstract

Brain-machine interface techniques have been applied in a number of studies to control neuromotor prostheses and for neurorehabilitation in the hopes of providing a means to restore lost motor function. Electrocorticography (ECoG) has seen recent use in this regard because it offers a higher spatiotemporal resolution than non-invasive EEG and is less invasive than intracortical microelectrodes. Although several studies have already succeeded in the inference of computer cursor trajectories and finger flexions using human ECoG signals, precise three-dimensional (3D) trajectory reconstruction for a human limb from ECoG has not yet been achieved. In this study, we predicted 3D arm trajectories in time series from ECoG signals in humans using a novel preprocessing method and a sparse linear regression. Average Pearson’s correlation coefficients and normalized root-mean-square errors between predicted and actual trajectories were 0.44∼0.73 and 0.18∼0.42, respectively, confirming the feasibility of predicting 3D arm trajectories from ECoG. We foresee this method contributing to future advancements in neuroprosthesis and neurorehabilitation technology.

Published
2013

41. Diagnostic and Prognostic Value of11C-Methionine PET for Nonenhancing Gliomas

Author

Takano, K., primary, Kinoshita, M., additional, Arita, H., additional, Okita, Y., additional, Chiba, Y., additional, Kagawa, N., additional, Fujimoto, Y., additional, Kishima, H., additional, Kanemura, Y., additional, Nonaka, M., additional, Nakajima, S., additional, Shimosegawa, E., additional, Hatazawa, J., additional, Hashimoto, N., additional, and Yoshimine, T., additional

Published
2015
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