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発表論文

BAICのサービスをご利用いただいたユーザの皆様の研究成果です。随時更新していきます。


(※出版年順)2018.10.22時点

  • <2018年>
    • Cai C, Ogawa K, Kochiyama T, Tanaka H, Imamizu H, Temporal recalibration of motor and visual potentials in lag adaptation in voluntary movement.NeuroImage,2018.
    • Taschereau-Dumouchel V, Cortese A, Chiba T, Knotts J D, Kawato M, Lau H,Towards an unconscious neural reinforcement intervention for common fears.Proceedings of the National Academy of Sciences,2018.
    • Mano H, Kotecha G, Leibnitz K, Matsubara T, Nakae A, Shenker N, Yanagida T,Classification and characterisation of brain network changes in chronic back pain: A multicenter study .Wellcome open research,2018.
    • Zhang S, Yoshida W, Mano H, Yanagisawa T, Shibata K, Kawato M, Seymour B,Endogenous controllability of closed-loop brain-machine interfaces for pain.bioRxiv,2018.
    • Zhang S, Mano H, Lee M, Yoshida W, Kawato M, Robbins T W, Seymour B,The control of tonic pain by active relief learning.Elife,2018.
    • Takagi Y, Sakai Y, Abe Y, Nishida S, Harrison B J, Martínez-Zalacaín I, Tanaka S C, A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity. NeuroImage, 2018.
    • Ogawa T, Aihara T, Shimokawa T, Yamashita O , Large-scale brain network associated with creative insight: combined voxel-based morphometry and resting-state functional connectivity analyses. Scientific reports, 2018.
    • Sato M, Yamashita O, Sato M A, Miyawaki Y, Information spreading by a combination of MEG source estimation and multivariate pattern classification. PloS one, 2018.
    • Fujimoto M, Shinohara S, Articulatory Characteristics of Geminate Plosives of Kumamoto Dialect: A Case Study Using MRI. Journal of the Phonetic Society of Japan, 2018.
    • 鈴木啓大, 山下宙人, 構造的ネットワークを制約に加えた安静時電流源推定法の提案 (ニューロコンピューティング). 電子情報通信学会技術研究報告= IEICE technical report: 信学技報, 2018.
    • 藤本雅子, 篠原茂子, 熊本方言の有声閉鎖音の重子音の調音特徴-MRIによるケーススタディー. 音声研究, 2018.
    • 苅米 亮介,松平 圭一,花崎 泉,英語発音訓練支援システムにおける視覚支援法の検討と発音教示法に向けての一考察.電気学会論文誌C,2018.
  • <2017年>
    • Yamashita A, Hayasaka S, Kawato M, Imamizu H,Connectivity neurofeedback training can differentially change functional connectivity and cognitive performance .Cerebral Cortex,2017.
    • Yamashita M, Yoshihara Y, Hashimoto R, Yahata N, Ichikawa N, Sakai Y, Kasai K,A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity.bioRxiv,2017.
    • Takagi Y, Sakai Y, Lisi G, Yahata N, Abe Y, Nishida S, Tanaka S C,A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity.Scientific reports,2017.
    • Horikawa T, Kamitani Y,Hierarchical neural representation of dreamed objects revealed by brain decoding with deep neural network features.Frontiers in computational neuroscience,2017.
    • Horikawa T, Kamitani Y,Generic decoding of seen and imagined objects using hierarchical visual features.Nature communications,2017.
    • Majima K, Sukhanov P, Horikawa T, Kamitani Y,Position information encoded by population activity in hierarchical visual areas.eNeuro,2017.
    • Satake E, Majima K, Aoki S, Kamitani Y,Sparse ordinal logistic regression and its application to brain decoding.bioRxiv,2017.
    • Yamada T, Hashimoto R, Yahata N, Ichikawa N, Yoshihara Y, Okamoto Y, Kawato M,Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers.International Journal of Neuropsychopharmacology,2017.
    • Koizumi A, Amano K, Cortese A, Shibata K, Yoshida W, Seymour B, Lau H,Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure.Nature human behaviour,2017.
    • Watanabe T, Sasaki Y, Shibata K, Kawato M,Advances in fMRI real-time neurofeedback.Trends in cognitive sciences,2017.
    • Yahata N Kasai K & Kawato MComputational neuroscience approach to biomarkers and treatments for mental disorders.Psychiatry and clinical neurosciences,2017.
    • Yamashita A, Hayasaka S, Kawato M, Imamizu H,Connectivity neurofeedback training can differentially change functional connectivity and cognitive performance.Cerebral Cortex,2017.
    • Takagi Y, Sakai Y, Lisi G, Yahata N, Abe Y, Nishida S, Tanaka S C,A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity.Scientific reports,2017.
    • Cortese A, Amano K, Koizumi A, Lau H, Kawato M,Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants.NeuroImage,2017.
    • Mano H, Yoshida W, Shibata K, Zhang S, Koltzenburg M, Kawato M, Seymour B,Thermosensory perceptual learning is associated with structural brain changes in parietal-opercular (SII) cortex.Journal of Neuroscience,2017.
    • Kawato M,Advances in fMRI Real-Time Neurofeedback.Trends in Cognitive Sciences,2017.
    • Amano K, Shibata K, Kawato M, Sasaki Y, Watanabe T,Associative Learning between Orientation and Color in Early Visual Areas .Brain and nerve= Shinkei kenkyu no shinpo,2017.
    • Yamashita M, Yoshihara Y, Hashimoto R, Yahata N, Ichikawa N, Sakai Y, Kasai K,A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity.bioRxiv,2017.
    • Taschereau-Dumouchel V, Cortese A, Chiba T, Knotts J D, Kawato M, Lau H,Towards an unconscious neurotherapy for common fears .bioRxiv,2017.
    • 天野薫, 柴田和久, 川人光男, 佐々木由香, 渡邊武郎,低次視覚皮質における方位と色の連合学習.BRAIN and NERVE-神経研究の進歩,2017.
    • 小泉愛, アウレリオコルテゼ, 天野薫, 川人光男, ハクワンラウ, デコーディッド・ニューロフィードバックを用いたメタ認知の変容.BRAIN and NERVE-神経研究の進歩, ,2017.
    • Yamashita M, Yoshihara Y, Hashimoto R, Yahata N, Ichikawa N, Sakai Y, Kasai K, A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity. bioRxiv, 2017.
  • <2016年>
    • Shibata K, Watanabe T, Kawato M, Sasaki Y, Differential activation patterns in the same brain region led to opposite emotional states. PLoS Biology, DOI:10.1371/journal.pbio.1002546, 2016.
    • Nishimura T, Mori F, Hanida S, Kumahata K, Ishikawa S, Samarat K, Miyabe-Nishiwaki T, Hayashi M, Tomonaga M, Suzuki J, Matsuzawa T, Matsuzawa T, Impaired Air Conditioning within the Nasal Cavity in Flat-Faced Homo. PLoS Computational Biology, 2016.
    • Yahata N, Morimoto J, Hashimoto R, Lisi G, Shibata K, Kawakubo Y,A small number of abnormal brain connections predicts adult autism spectrum disorder.Nature communications,2016.
    • Ohata R, Ogawa K, Imamizu H,Single-trial prediction of reaction time variability from MEG brain activity.Scientific reports,2016.
    • Yahata N, Morimoto J, Hashimoto R, Lisi G, Shibata K, Kawakubo Y,A small number of abnormal brain connections predicts adult autism spectrum disorder.Nature communications,2016.
    • Majima K, Sukhanov P, Horikawa T, Kamitani Y, Preserved position information in high-level visual cortex with large receptive fields.bioRxiv,2016.
    • Yahata N, Morimoto J, Hashimoto R, Lisi G, Shibata K, Kawakubo Y, Imamizu H,A small number of abnormal brain connections predicts adult autism spectrum disorder.Nature communications,2016.
    • Shibata K, Watanabe T, Kawato M, Sasaki Y,Differential activation patterns in the same brain region led to opposite emotional states .PLoS biology,2016.
    • Shibata K, Sasaki Y, Kawato M, Watanabe T,Neuroimaging evidence for 2 types of plasticity in association with visual perceptual learning.Cerebral Cortex,2016.
    • Seymour B, Kawato M, Lau H,Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure.Nature human behaviour,2016.
    • Cortese A, Amano K, Koizumi A, Kawato M, Lau H,Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance.Nature communications,2016.
    • Amano K, Shibata K, Kawato M, Sasaki Y, Watanabe T,Learning to associate orientation with color in early visual areas by associative decoded fMRI neurofeedback.Current Biology,2016.
    • Tanaka S C, Doya K, Okada G, Ueda K, Okamoto Y, Yamawaki S, Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops. In Behavioral economics of preferences, choices, and happiness, 2016.
    • Fermin A S, Yoshida T, Yoshimoto J, Ito M, Tanaka S C, Doya K, Model-based action planning involves cortico-cerebellar and basal ganglia networks. Scientific reports, 2016.
    • 高木優, 酒井雄希, 田中沙織, ヒト機能的 MRI を用いた不安に関わる全脳機能的結合の同定. 研究報告バイオ情報学 (BIO), 2016.
    • Yamashita O, Shimokawa T, Aisu R, Amita T, Inoue Y, Sato M A, Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm. Neuroimage, 2016.
    • Takeda Y, Hiroe N, Yamashita O, Sato M A , Estimating repetitive spatiotemporal patterns from resting-state brain activity data. NeuroImage, 2016.
  • <2014年>
    • Uono S, Sato W, Kochiyama T, Commonalities and differences in the spatiotemporal neural dynamics associated with automatic attentional shifts induced by gaze and arrows. Neuroscience Research, 2014.
    • Haneishi E, Oribe R, Takemoto H, Kawahara H, Honda K, Saitou T, Hagiwara K, Kishimoto H, Attempts of Visualization of Singing Techniques: MRI Motion Imaging of Diaphragm Activities and Acoustic Features during Singing. The 43rd Voice Foundation Annual Symposium May28-June1, Philadelphia, PA, USA, 2014.(口頭発表)
    • Wada A, Sakano Y, Ando H, Human cortical areas involved in perception of surface glossiness. NeuroImage, 98, 243-257, 2014.
  • <2012年>
    • Shimada Y, Nishimoto H, Kochiyama T, Fujimoto I, Mano H, Masaki S, Murase K, A technique to reduce motion artifact for externally triggered cine-MRI(EC-MRI) based on detecting the onset of the articulated word with spectral analysis. Magn Reson Med Science, 11(4):273-82, 2012.
    • Sato W, Toichi M, Uono S, Kochiyama T, Impaired social brain network for processing dynamic facial expressions in autism spectrum disorders. BMC Neuroscience, 13;13:99, 2012.
  • <2011年>
    • Sato W, Kochiyama T, Yoshikawa S, The inversion effect for neutral and emotional facial expressions on amygdala activity. Brain Res, 1378, 84-90, 2011.
    • Toda A, Imamizu H, Kawato M, Sato M, Reconstruction of two-dimentional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods. Neuroimage, 54(2), 892-905, 2011.
    • Nishimoto H, Shimada Y, Fujimoto I, Masaki S, Murase K, Observation of the Tongue Movement Producing Alveolar Trill by High Frame Rate MRI-Movie. International Seminar on Speech Production 2011, 33-39, 2011.
  • <2006年~2010年>
    • Sato W, Kochiyama T, Uono S, Yoshikawa S, Amygdala integrates emotional expression and gaze direction in response to dynamic facial expressions. Neuroimage, 50(4), 1658-1665, 2010.
    • Sato W, Kochiyama T, Yoshikawa S, Amygdala activity in response to forward versus backward dynamic facial expressions. Brain Res, 1315, 92-99, 2010.
    • Tachibana RO, Yanagida M, Riquimaroux H, Novel approach for understanding the neural mechanisms of auditory-motor control: pitch regulation by finger force. Neurosci Lett, 482(3), 198-202, 2010.
    • 森重健一, 川脇大, 吉岡琢, 佐藤雅昭, 川人光男, 脳磁図逆問題における複数のアーチファクト源と脳内電流分布の同時推定法. 電子情報通信学会論文誌D, J93-D(2), 127-138, 2010.
    • Callan DE, Callan AM, Gamez M, Sato M, Kawato M, Premotor cortex mediates perceptual performance. Neuroimage, 51(2), 844-858, 2010.
    • Shinozaki J, Hiroe N, Yoshioka T, Sato M, Sekiyama K, Neural mechanisms associated with audio-visual integration in native Japanese and native English; an fMRI study. Clinical Neurophysiology/Proceedings, 121(7), e-22, 2010.
    • Shimada Y, Kochiyama T, Fujimoto I, Masaki S, Murase K, Effect of Fat-saturation Pulse on EPI Time Series in the Presence of B0 Drift. Magnetic Resonance in Medical Sciences, 9(1), 9-16, 2010.
    • Sato W, Kochiyama T, Uono S, Yoshikawa S, Commonalities in the neural mechanisms underlying automatic attentional shifts by gaze, gestures, and symbols. Neuroimage, 45(3), 984-992, 2009.
    • Haruno M, Kawato M, Activity in the superior temporal sulcus highlights learning competence in an interaction game. Journal of Neuroscience, 29(14), 4542-4547, 2009.
    • Fujiwara Y, Yamashita O, Kawawaki D, Doya K, Kawato M, Toyama K, Sato M, A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. Neuroimage, 45(2), 393-409, 2009.
    • Morishige K, Kawawaki D, Yoshioka T, Sato M, Kawato M, Artifact removal using simultaneous current estimation of noise and cortical sources Advances. in Neuro-Information Processing, 15th International Conference, ICONIP2008, Revised Selected Papers, PartI, 5506(11) 336-343 2009
    • Shibata K, Yamagishi N, Ishii S, Kawato M, Boosting perceptual learning by fake feedback. Vision Research, 49(21), 2574-2585, 2009.
    • Callan DE, Schweighofer N, Neural correlates of the spacing effect in explicit verbal semantic encoding support the deficient-processing theory. Human Brain Mapping, 31(4), 645-659, 2009.
    • Sato W, Kochiyama T, Uono S, Yoshikawa S, Time course of superior temporal sulcus activity in response to eye gaze: a combined fMRI and MEG study. Soc Cogn Affect Neurosci, 3(3), 224-232, 2008.
    • Ganesh G, Burdet E, Haruno M, Kawato M Sparse linear regression for reconstructing muscle activity from human cortical fMRI. Neuroimage, 42(4), 1463-1472, 2008.
    • Callan DE, Schweighofer N, Positive and negative modulation of word learning by reward anticipation. Human Brain Mapping, 29(2), 237-249, 2008.
    • Yamashita O, Sato M, Yoshioka T, Tong F, Kamitani Y Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns. Neuroimage, 42(4), 1414-1429, 2008.
    • Yoshioka T, Sato M, Toyama K, Yamashita O, Nishina S, Yamagishi N, Kawato M Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals. Neuroimage, 42(4), 1397-1413, 2008.
    • Miyawaki Y, Uchida H, Yamashita O, Sato M, Morito Y, Tanabe HC, Sadato N, Kamitani Y Visual image reconstruction from human brain activity using a combination of multi-scale local image decoders. Neuron, 60(5), 915-929, 2008.
    • Shimada Y, Kochiyama T, Fujimoto I, Masaki S, Murase K, System Stability of a 3T-MRI During Continuous EPI Scan. 日本放射線技術学会雑誌, 64(12), 1504-1512, 2008.
    • Callan DE, Kawato M, Parsons L, Turner R Speech and song: the role of the cerebellum. The cerebellum, 6(4), 321-327, 2007.
    • Kawawaki D, Shibata T, Goda N, Doya K, Kawato M, Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit. Neuroscience Research, 54(2), 112-123, 2006.
    • Callan DE, Tsytsarwv V, Hanakawa T, Callan AM, Katsuhatra M, Fukuyama H, Turner R Song and speech: Brain regions involved with preception and covert production. Neuroimage, 6(3), 1327-1342, 2006.
    • Bapi RS, Miyapuram KP, Graydon FX, Doya K, fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage, 32(2), 714-727, 2006.
    • Callan AM, Callan DE, Tajima K, Akahane-Yamada R Neural processes involved with perception of non-native durational contrasts. NeuroReport, 17(12), 1353-1357, 2006.
    • 西本博則, 赤木正人, 北村達也, 鈴木規子, 有限要素法による声道伝達特性推定の有効性に関する検討. 日本音響学会誌, 62(4), 306-315, 2006.
  • <~2005年>
    • Samejima K, Ueda Y, Doya K, Kimura M, Representation of action-specific reward value in the striatum. Science, 310, 1337-1340, 2005.
    • Sato W, Kochiyama T, Yoshikawa S, Naito E, Matsumura M, Enhanced neural activity in response to dynamic facial expressions of emotion: an fMRI study. Brain Res Cogn Brain Res, 20(1), 81-91, 2004.
    • Sato W, Yoshikawa S, Kochiyama T, Matsumura M, The amygdala processes the emotional significance of facial expressions: an fMRI investigation using the interaction between expression and face direction. Neuroimage, 22(2), 1006-1013, 2004.
    • Takemoto T, Kitamura K, Nishimoto H, Honda K, A method of tooth superimposition of MRI data for accurate measurement of vocal tract shape and dimensions. Acoustic Science and Technology, 25, 468-474, 2004.
    • Kitamura T, Fujita S, Honda K, Nishimoto H, An Experimental Method for Measuring Transfer Functions of Acoustic Tubes. INTERSPEECH 2004, 2004.
    • Nishimoto H, Akagi M, Kitamura T, Suzuki N, Estimation of transfer function of vocal tract extracted from MRI data by FEM. ICA2004, 2004.
    • 島田育廣, 藤本一郎, 竹本浩典, 高野佐代子, 正木信夫, 本多清志, 武尾和浩, Synchronized Sampling Method(SSM)を利用した4d-MRI. 日本放射線技術学会雑誌, 58(12), 1592-1598, 2002.

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