2021年
[1] H. Hashimoto et al., “Motor and sensory cortical processing of neural oscillatory activities revealed by human swallowing using intracranial electrodes,” iScience, vol. 24, no. 7, p. 102786, 2021.
[2] X. Zhao, S. Takata, K. Fukumori, and T. Tanaka, “Infant Posture Assessment Based on Rotational Keypoint Detection,” 2021 Asia-Pacific Signal Inf. Process. Assoc. Annu. Summit Conf. APSIPA ASC 2021 – Proc., pp. 1546–1550, 2021.
[3] H. M. Khoo et al., “Reliable acquisition of electroencephalography data during simultaneous electroencephalography and functional mri,” J. Vis. Exp., vol. 2021, no. 169, pp. 1–17, 2021.
[4] H. Iwaki et al., “Your verbal questions beginning with ‘what’ will rapidly deactivate the left prefrontal cortex of listeners,” Sci. Rep., vol. 11, no. 1, pp. 1–14, 2021.
[5] K. Kanaya, T. Mitsuhashi, T. Kiuchi, and S. Kobayashi, “The Efficacy of Intraoperative Passive Language Mapping for Glioma Surgery: A Case Report,” Front. Neurol., vol. 12, no. August, pp. 1–6, 2021.
[6] X. Zhao, J. Sole-Casals, Q. Zhao, J. Cao, and T. Tanaka, “Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation,” 2021 Asia-Pacific Signal Inf. Process. Assoc. Annu. Summit Conf. APSIPA ASC 2021 – Proc., pp. 1323–1327, 2021.
[7] M. Xia, L. Sui, X. Zhao, T. Tanaka, and J. Cao, “Convolution Neural Network recognition of epileptic foci based on composite signal processing of electroencephalograph data,” Procedia Comput. Sci., vol. 192, pp. 688–696, 2021.
[8] 松橋崇寛, 木下学, 藤田祐也, 浅井克則, 尾崎友彦, and 貴島晴彦, “神経膠腫手術におけるifof同定の試み,” 脳神経外科ジャーナル, vol. 30, no. 6, pp. 474–480, 2021.
[9] T. Shoji, N. Yoshida, and T. Tanaka, “Automated detection of abnormalities from an EEG recording of epilepsy patients with a compact convolutional neural network,” Biomed. Signal Process. Control, vol. 70, no. July, p. 103013, Sep. 2021.
[10] K. Fukumori, N. Yoshida, H. Sugano, M. Nakajima, and T. Tanaka, “Epileptic Spike Detection Using Neural Networks with Linear-Phase Convolutions,” IEEE J. Biomed. Heal. Informatics, vol. 26, no. 3, pp. 1045–1056, 2021.
[11] H. Sugano et al., “Can intraoperative electrocorticography be used to minimize the extent of resection in patients with temporal lobe epilepsy associated with hippocampal sclerosis?,” J. Neurosurg., vol. 0, pp. 1–8, 2021.
[12] N. Mikuni et al., “Current status and future objectives of surgical therapies for epilepsy in japan,” Neurol. Med. Chir. (Tokyo)., vol. 61, no. 11, pp. 619–628, 2021.
[13] T. Mitsuhashi et al., “Four-dimensional tractography animates propagations of neural activation via distinct interhemispheric pathways,” Clin. Neurophysiol., vol. 132, no. 2, pp. 520–529, 2021.
[14] Z. Tao, X. Zhao, T. Tanaka, and Q. Zhao, “Bayesian Latent Factor Model for Higher-order Data,” in Proceedings of The 13th Asian Conference on Machine Learning, 2021, vol. 157, pp. 1285–1300.
[15] H. Hashimoto et al., “Swallowing-related neural oscillation: an intracranial EEG study,” Ann. Clin. Transl. Neurol., vol. 8, no. 6, pp. 1224–1238, 2021.
[16] K. Yamada and Y. Tanaka, “Temporal Multiresolution Graph Learning,” IEEE Access, vol. 9, pp. 143734–143745, 2021.
[17] T. Mitsuhashi et al., “Dynamic tractography-based localization of spike sources and animation of spike propagations,” Epilepsia, vol. 62, no. 10, pp. 2372–2384, 2021.
[18] L. Sui, X. Zhao, Q. Zhao, T. Tanaka, and J. Cao, “Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG,” Neural Plast., vol. 2021, pp. 1–9, Apr. 2021.
[19] T. Sanada et al., “Multi-modal Mapping of the Face Selective Ventral Temporal Cortex–A Group Study With Clinical Implications for ECS, ECoG, and fMRI,” Front. Hum. Neurosci., vol. 15, no. March, pp. 1–15, 2021.
[20] P. Jain et al., “Surgical outcomes in children with bottom-of-sulcus dysplasia and drug-resistant epilepsy: A retrospective cohort study,” J. Neurosurg. Pediatr., vol. 28, no. 3, pp. 295–305, 2021.
[21] Y. Miao, Y. Iimura, H. Sugano, K. Fukumori, T. Shoji, and T. Tanaka, “Seizure Onset Zone Identification Based on Phase-Amplitude Coupling of Interictal Electrocorticogram,” Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, pp. 587–590, 2021.
[22] H. Suzuki et al., “Epileptogenic modulation index and synchronization in hypsarrhythmia of West syndrome secondary to perinatal arterial ischemic stroke,” Clin. Neurophysiol., vol. 132, no. 5, pp. 1185–1193, 2021.
[23] Y. Iimura et al., “Case Report: Subtotal Hemispherotomy Modulates the Epileptic Spasms in Aicardi Syndrome,” Front. Neurol., vol. 12, no. June, pp. 1–7, 2021.
[24] Y. IIMURA et al., “Relapse of Herpes Simplex Encephalitis by Epilepsy Surgery 35 Years after the First Infection: A Case Report and Literature Review,” NMC Case Rep. J., vol. 8, no. 1, pp. 235–240, 2021.
[25] H. Iwaki et al., “Social media for clinical neurophysiology,” Clin. Neurophysiol., vol. 132, no. 8, pp. 1777–1781, 2021.
[26] S. Yamamoto et al., “Data-driven electrophysiological feature based on deep learning to detect epileptic seizures,” J. Neural Eng., vol. 18, no. 5, 2021.
[27] M. Tada et al., “Global and Parallel Cortical Processing Based on Auditory Gamma Oscillatory Responses in Humans,” Cereb. Cortex, vol. 31, no. 10, pp. 4518–4532, 2021.
[28] H. Iwaki et al., “Social media for clinical neurophysiology,” Clin. Neurophysiol., vol. 132, no. 8, pp. 1777–1781, 2021.
[29] M. Inaji, T. Yamamoto, K. Kawai, T. Maehara, and W. K. Doyle, “Responsive neurostimulation as a novel palliative option in epilepsy surgery,” Neurol. Med. Chir. (Tokyo)., vol. 61, no. 1, pp. 1–11, 2021.
[30] S. M. Wong et al., “Detection of high-frequency oscillations in electroencephalography: A scoping review and an adaptable open-source framework,” Seizure, vol. 84, no. November 2020, pp. 23–33, 2021.
[31] T. Mitsuhashi, M. Sonoda, H. Iwaki, K. Sakakura, and E. Asano, “Detection of absence seizures using a glasses-type eye tracker,” Clin. Neurophysiol., vol. 132, no. 3, pp. 720–722, 2021.
[32] Z. Tao, X. Zhao, T. Tanaka, and Q. Zhao, “Bayesian Latent Factor Model for Higher-order Data,” in Proceedings of The 13th Asian Conference on Machine Learning, 2021, vol. 157, pp. 1285–1300.
[33] K. Kagitani-Shimono et al., “Clinical evaluation of neuroinflammation in child-onset focal epilepsy: a translocator protein PET study,” J. Neuroinflammation, vol. 18, no. 1, pp. 1–13, 2021.
[34] K. Fukumoto, K. Yamada, and Y. Tanaka, “Node Clustering of Time-Varying Graphs Based on Temporal Label Smoothness,” 2021 Asia-Pacific Signal Inf. Process. Assoc. Annu. Summit Conf. APSIPA ASC 2021 – Proc., no. December, pp. 324–329, 2021.
[35] S. Yoshitomi et al., “Current medico-psycho-social conditions of patients with West syndrome in Japan,” Epileptic Disord., vol. 23, no. 4, pp. 579–589, 2021.
[36] J. Kubota et al., “Body temperature predicts recurrent febrile seizures in the same febrile illness,” Brain Dev., vol. 43, no. 7, pp. 768–774, 2021.
[37] S. Mahmoodkalayeh et al., “Wavelength and pulse energy optimization for detecting hypoxia in photoacoustic imaging of the neonatal brain: a simulation study,” Biomed. Opt. Express, vol. 12, no. 12, p. 7458, 2021.
[38] 晃一貴島 晴彦 押野 悟 谷 直樹 細見, “MRガイド下集束超音波治療の仕組みと適応疾患,” Jpn J Neurosurg, vol. 30, no. 7, p. 519‒526, 2021.
[39] H. Hashimoto et al., “Phase-amplitude coupling between infraslow and high-frequency activities well discriminates between the preictal and interictal states,” Sci. Rep., vol. 11, no. 1, pp. 1–13, 2021.
[40] H. Tomita et al., “Connectome analysis of male world-class gymnasts using probabilistic multishell, multitissue constrained spherical deconvolution tracking,” J. Neurosci. Res., vol. 99, no. 10, pp. 2558–2572, 2021.
[41] J. W. Jeong, M. H. Lee, N. O’Hara, C. Juhász, and E. Asano, “Prediction of baseline expressive and receptive language function in children with focal epilepsy using diffusion tractography-based deep learning network,” Epilepsy Behav., vol. 117, no. 2021, p. 107909, 2021.
[42] M. Sonoda et al., “Six-dimensional dynamic tractography atlas of language connectivity in the developing brain,” Brain, vol. 144, no. 11, pp. 3340–3354, 2021.
[43] K. Takabatake et al., “Musical Auditory Alpha Wave Neurofeedback: Validation and Cognitive Perspectives,” Appl. Psychophysiol. Biofeedback, vol. 46, no. 4, pp. 323–334, 2021.
[44] N. Kunii, T. Koizumi, K. Kawai, S. Shimada, and N. Saito, “Vagus Nerve Stimulation Amplifies Task-Induced Cerebral Blood Flow Increase,” Front. Hum. Neurosci., vol. 15, no. August, pp. 1–10, 2021.
[45] H. Sugano et al., “Extent of Leptomeningeal Capillary Malformation is Associated With Severity of Epilepsy in Sturge-Weber Syndrome,” Pediatr. Neurol., vol. 117, no. 2021, pp. 64–71, 2021.
[46] D. Cukovic et al., “Exosomes in epilepsy of tuberous sclerosis complex: Carriers of pro-inflammatory micrornas,” Non-coding RNA, vol. 7, no. 3, pp. 1–16, 2021.
[47] M. Sonoda et al., “Long-term satisfaction after extraoperative invasive EEG recording,” Epilepsy Behav., vol. 124, no. 2021, p. 108363, 2021.
[48] H. Hashimoto et al., “Phase-amplitude coupling of ripple activities during seizure evolution with theta phase,” Clin. Neurophysiol., vol. 132, no. 6, pp. 1243–1253, 2021.
[49] A. Kumar, K. Sakakura, T. Mitsuhashi, A. Railean, and A. F. Luat, “Alteration of the Arcuate Fasciculus in Jacobsen Syndrome Shown by Diffusion Tensor Imaging,” Pediatr. Neurol., vol. 120, no. 2021, pp. 4–6, 2021.
[50] Z. Tao, “Bayesian Latent Factor Model for Higher-order Data,” Proc. 13th Asian Conf. Mach. Learn., 2021.
[51] H. Ono et al., “Spontaneous modulations of high-frequency cortical activity,” Clin. Neurophysiol., vol. 132, no. 10, pp. 2391–2403, 2021.
[52] O. N. Arski et al., “Spectral changes following resective epilepsy surgery and neurocognitive function in children with epilepsy,” J. Neurophysiol., vol. 126, no. 5, pp. 1614–1621, 2021.
2020年
[1] D. J. Martire et al., “Temporal-plus epilepsy in children: A connectomic analysis in magnetoencephalography,” Epilepsia, vol. 61, no. 8, pp. 1691–1700, 2020.
[2] K. Mithani et al., “Somatosensory evoked fields predict response to vagus nerve stimulation,” NeuroImage Clin., vol. 26, no. November 2019, p. 102205, 2020.
[3] T. Nishida, K. Kawai, and H. Tachimori, “Risks of seizure with fatal traffic crash at wheel in people with epilepsy,” Seizure, vol. 76, no. February, pp. 110–115, 2020.
[4] H. M. Khoo et al., “Technical aspects of seeg and its interpretation in the delineation of the epileptogenic zone,” Neurol. Med. Chir. (Tokyo)., vol. 60, no. 12, pp. 565–580, 2020.
[5] K. Iwata, K. Yamada, and Y. Tanaka, “Graph Blind Deconvolution with Sparseness Constraint,” pp. 1–5, Oct. 2020.
[6] H. M. Khoo, Y. Fujita, N. Tani, S. Oshino, K. Kagitani-Shimono, and H. Kishima, “Mystery Case: Parietal lobe epilepsy with ictal manifestation of Gerstmann syndrome,” Neurology, vol. 94, no. 4, pp. e430–e433, 2020.
[7] K. Yamada, Y. Tanaka, and A. Ortega, “Time-Varying Graph Learning with Constraints on Graph Temporal Variation,” arXiv, pp. 1–13, 2020.
[8] T. Ban, Y. Ishishita, M. Tetsuka, T. Uchiyama, K. Ohtani, and K. Kawai, “Timelined multimodal recording of EEG and driving performance using a driving simulator system during a focal impaired awareness seizure,” Epilepsy Behav. Reports, vol. 13, p. 100356, 2020.
[9] X. Zhao, L. Sui, T. Tanaka, J. Cao, and Q. Zhao, “Epileptic focus localization based on iEEG plot images by using convolutional neural network,” Epic Ser. Comput., vol. 70, pp. 173–181, 2020.
[10] Y. Kadono et al., “A case of COVID-19 infection presenting with a seizure following severe brain edema,” Seizure, vol. 80, no. June, pp. 53–55, 2020.
[11] X. Zhao et al., “Classification of Epileptic IEEG Signals by CNN and Data Augmentation,” in ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, vol. 8719, no. 2006, pp. 926–930.
[12] K. Yanai, S. Shimada, N. Kunii, M. Takasago, K. Takabatake, and N. Saito, “Earlier tachycardia for seizures originating from the right versus left hemisphere in a patient with bilateral mesial temporal lobe epilepsy,” Clin. Neurophysiol., vol. 131, no. 9, pp. 2168–2170, 2020.
[13] A. Okamura et al., “Secondary epileptogenesis on gradient magnetic-field topography correlates with seizure outcomes after vagus nerve stimulation,” Epilepsy Res., vol. 167, no. September 2020, p. 106463, 2020.
[14] M. S. Akter et al., “Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG,” Sci. Rep., vol. 10, no. 1, pp. 1–17, 2020.
[15] K. Okanari et al., “Autonomic dysregulation in children with epilepsy with postictal generalized EEG suppression following generalized convulsive seizures,” Epilepsy Behav., vol. 102, no. 2020, p. 106688, 2020.
[16] K. Yamada and Y. Tanaka, “Learning Graphs with Multiple Temporal Resolutions,” 2020 Asia-Pacific Signal Inf. Process. Assoc. Annu. Summit Conf. APSIPA ASC 2020 – Proc., no. December, pp. 139–142, 2020.
[17] T. Sakai, T. Shoji, N. Yoshida, K. Fukumori, Y. Tanaka, and T. Tanaka, “Scalpnet: Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Using Convolutional Neural Networks,” in ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 1244–1248.
[18] A. Shibata et al., “Case-control association study of rare nonsynonymous variants of SCN1A and KCNQ2 in acute encephalopathy with biphasic seizures and late reduced diffusion,” J. Neurol. Sci., vol. 414, no. February, p. 116808, 2020.
[19] H. Takahashi, A. Emami, T. Shinozaki, N. Kunii, T. Matsuo, and K. Kawai, “Convolutional neural network with autoencoder-assisted multiclass labelling for seizure detection based on scalp electroencephalography,” Comput. Biol. Med., vol. 125, p. 104016, 2020.
[20] M. S. Akter et al., “Statistical features in high-frequency bands of interictal IEEG work efficiently in identifying the seizure onset zone in patients with focal epilepsy,” Entropy, vol. 22, no. 12, pp. 1–25, 2020.