Automatic diagnosis of neurological diseases using MEG signals with a deep neural network

J. Aoe(The University of Osaka), Haruhiko Kishima(Osaka University Hospital), Tatsuya Harada(The University of Tokyo), You Inoue(The University of Osaka), Maki Kobayashi(Daiichi-Sankyo (Japan)), Yu‐ichiro Ohnishi(National Cerebral and Cardiovascular Center), Shota Yamamoto(Osaka University Hospital), Ryohei Fukuma(The University of Osaka), Masataka Tanaka(Osaka Gakuin University), Takufumi Yanagisawa(The University of Osaka)
Scientific Reports
March 25, 2019
10.1038/s41598-019-41500-x
Cited by 52

Related Papers

Reduction of intractable deafferentation pain due to spinal cord or peripheral lesion by high-frequency repetitive transcranial magnetic stimulation of the primary motor cortex
|Journal of neurosurgery|2007|131
Diffusion tensor fiber tracking in patients with central post-stroke pain; correlation with efficacy of repetitive transcranial magnetic stimulation
|Pain|2008|126
Detection of Epileptic Seizures Using Phase–Amplitude Coupling in Intracranial Electroencephalography
|Scientific Reports|2016|123
Electrical stimulation of primary motor cortex within the central sulcus for intractable neuropathic pain
|Clinical Neurophysiology|2008|105
Low‐frequency subthalamic nucleus stimulation in Parkinson's disease: A randomized clinical trial
|Movement Disorders|2014|104