MAKOTO FUKUSHIMA

Last Updated :2025/04/03

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
Web Site
E-mail
mfukushimahiroshima-u.ac.jp
Self-introduction
I work on interdisciplinary research in neuroscience, network science, and artificial intelligence. My research topics include fusion of empirical brain networks and artificial neural networks, modeling information propagation in structural brain networks, and network analysis of time-resolved functional brain connectivity.

Basic Information

Major Professional Backgrounds

  • 2023/04/01, Hiroshima University, School of Informatics and Data Science / Graduate School of Advanced Science and Engineering, Associate Professor
  • 2019/09/01, 2023/03/31, Nara Institute of Science and Technology, Division of Information Science, Graduate School of Science and Technology, Assistant Professor
  • 2018/04/01, 2019/08/31, National Institute of Information and Communications Technology, Neural Information Engineering Laboratory, Center for Information and Neural Networks, JSPS Research Fellow
  • 2015/04/01, 2018/03/31, Indiana University, Computational Cognitive Neuroscience Laboratory, Department of Psychological and Brain Sciences, Postdoctoral Fellow
  • 2014/04/01, 2015/03/31, Advanced Telecommunications Research Institute International, Department of Computational Brain Imaging, Neural Information Analysis Laboratories, Researcher
  • 2009/06/01, 2014/03/31, Advanced Telecommunications Research Institute International, Department of Computational Brain Imaging, Neural Information Analysis Laboratories (split from Computational Neuroscience Laboratories in April 2010), Student Intern

Educational Backgrounds

  • Nara Institute of Science and Technology, Graduate School of Information Science, Japan, 2009/04, 2014/03
  • Osaka University, School of Engineering Science, Department of Systems Science, Japan, 2005/04, 2009/03

Academic Degrees

  • Master of Engineering, Nara Institute of Science and Technology
  • Doctor of Engineering, Nara Institute of Science and Technology

Educational Activity

  • [Bachelor Degree Program] School of Informatics and Data Science : Department of Informatics and Data Science : Intelligence Science Program
  • [Master's Program] Graduate School of Innovation and Practice for Smart Society
  • [Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program
  • [Doctoral Program] Graduate School of Innovation and Practice for Smart Society
  • [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program

In Charge of Primary Major Programs

  • Informatics and Data Science Program

Research Fields

  • Complex systems;Brain sciences;Brain biometrics
  • Informatics;Human informatics;Soft computing

Research Keywords

  • Brain Network Analysis
  • Computational Neuroscience

Affiliated Academic Societies

Educational Activity

Course in Charge

  1. 2025, Liberal Arts Education Program1, Second Semester, Starting Programming from Scratch
  2. 2025, Undergraduate Education, 3Term, Machine Learning
  3. 2025, Undergraduate Education, 1Term, Neural Networks
  4. 2025, Undergraduate Education, 1Term, Intelligence Science Seminar I
  5. 2025, Undergraduate Education, 2Term, Intelligence Science Seminar II
  6. 2025, Undergraduate Education, Second Semester, Graduation Thesis
  7. 2025, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
  8. 2025, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
  9. 2025, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
  10. 2025, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
  11. 2025, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science
  12. 2025, Graduate Education (Master's Program) , 2Term, Advanced Computational Neuroscience

Research Activities

Academic Papers

  1. ★, Effects of packetization on communication dynamics in brain networks, Network Neuroscience, 8(2), 418-436, 20240701
  2. Relating switching architectures to propagation strategies in network communication models for the connectome, Annual conference of Japanese Neural Network Society, 20230905
  3. Modular origins of high-amplitude cofluctuations in fine-scale functional connectivity dynamics, Proceedings of the National Academy of Sciences of the United States of America, 118(46), e2109380118, 2021
  4. Signal propagation models for packet-based communication in structural brain networks, Annual conference of Japanese Neural Network Society, 2021
  5. Functional connectivity, Brain Science Dictionary, 2021
  6. ★, Structural determinants of dynamic fluctuations between segregation and integration on the human connectome, Communications Biology, 3, 606, 2020
  7. Temporal stability of functional brain modules associated with human intelligence, Human Brain Mapping, 41(2), 362-372, 2020
  8. Comparison of network-level fluctuations in modeled and empirical human brain functional connectivity, Annual conference of Japanese Neural Network Society, 2018
  9. ★, Comparison of fluctuations in global network topology of modeled and empirical brain functional connectivity, PLOS Computational Biology, 14(9), e1006497, 2018
  10. ★, Structure–function relationships during segregated and integrated network states of human brain functional connectivity, Brain Structure and Function, 223(3), 1091-1106, 2018
  11. ★, Fluctuations between high- and low-modularity topology in time-resolved functional connectivity, NeuroImage, 180, 406-416, 2018
  12. Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks, NeuroImage, 127, 287-297, 2016
  13. ★, MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks, NeuroImage, 105, 408-427, 2015
  14. MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model, IEEE International Symposium on Biomedical Imaging (ISBI), 1002-1005, 2013
  15. ★, A state-space modeling approach for localization of focal current sources from MEG, IEEE Transactions on Biomedical Engineering, 59(6), 1561-1571, 2012

Publications such as books

  1. Advanced State Space Methods for Neural and Clinical Data, Chapter 3: State space methods for MEG source reconstruction, Cambridge University Press, 2015, Scholarly Book, Joint work, Makoto Fukushima, Okito Yamashita, Masa-aki Sato, 9781139941433, 53-78

Invited Lecture, Oral Presentation, Poster Presentation

  1. Application of connectome-based reservoir computing to handwritten digit recognition, Takumi Satani, Makoto Fukushima, IEICE General Conference, 2024/03/07, Without Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Higashihiroshima
  2. Reservoir computing with the Kuramoto model of coupled oscillators, Miku Fujiki, Makoto Fukushima, IEICE General Conference, 2024/03/07, Without Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Higashihiroshima
  3. The impact of converting structural brain connections to reservoir weights on the performance of connectome-based reservoir computing, Ryo Nishimura, Makoto Fukushima, IEICE General Conference, 2024/03/07, Without Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Higashihiroshima
  4. Evaluating the reproducibility and validity of community detection in functional brain networks, Makoto Fukushima, Ryusuke Nakamura, Kazushi Ikeda, 26th Congress of Japan Human Brain Mapping Society, 2024/02/23, Without Invitation, Japanese, Japan Human Brain Mapping Society, Utsunomiya
  5. Analysis of global state fluctuations in functional brain networks, Makoto Fukushima, Joint Meeting of IEICE Technical Meeting on Communication Quality (CQ) and Technical Meeting on Communication Behavior Engineering (CBE), 2024/01/25, With Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Minamioguni, Aso
  6. Effects of signal packetization on whole-brain communication dynamics simulated in the connectome, Makoto Fukushima, Kenji Leibnitz, 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), 2023/11/15, Without Invitation, English, Society for Neuroscience, Washington D.C. (U.S.)
  7. Effects of packetization on cortical communication dynamics simulated in the connectome, Makoto Fukushima, Kenji Leibnitz, 7th Japanese Meeting for Human Brain Imaging, 2023/09/09, Without Invitation, Japanese, Japanese Meeting for Human Brain Imaging, Machida
  8. Evaluating the stability and validity of communities detected in human functional brain networks, Makoto Fukushima, Ryusuke Nakamura, Kazushi Ikeda, 6th Japanese Meeting for Human Brain Imaging, 2022/09, Without Invitation, Japanese, Machida
  9. Analysis of time-varying functional brain networks, Makoto Fukushima, Network Science Seminar 2022, 2022/08, With Invitation, Japanese, Kyoto
  10. Roles of hub regions in packet-based communication dynamics on structural brain networks, Makoto Fukushima, Kenji Leibnitz, Joint Meeting of the 45th Annual Meeting of the Japan Neuroscience Society, the 65th Annual Meeting of the Japanese Society for Neurochemistry, and the 32nd Annual Conference of the Japanese Neural Network Society, 2022/07, Without Invitation, Japanese, Ginowan
  11. Effects of the spatial resolution of parcellation on community detection in human functional brain networks, Ryusuke Nakamura, Makoto Fukushima, Kazushi Ikeda, 24th Congress of Japan Human Brain Mapping Society, 2022/02, Without Invitation, Japanese, Hamamatsu
  12. Computational studies for characterizing and understanding global state changes in functional brain networks and their generative mechanisms, Makoto Fukushima, 33rd Tokyo Symposium on Clinical Brain Image Analysis, 2021/11, With Invitation, Japanese, Virtual event
  13. Routing strategies for packet-based neural communication on the macroscale connectome, Makoto Fukushima, Kenji Leibnitz, 44th Annual Meeting of the Japan Neuroscience Society, 2021/07, Without Invitation, Japanese, Kobe
  14. Modular origins of high-amplitude co-fluctuations in fine-scale functional connectivity dynamics, Maria Pope, Makoto Fukushima, Richard F. Betzel, Olaf Sporns, Networks 2021 Satellite Conference: Network Neuroscience, 2021/07, Without Invitation, English, Virtual event
  15. Routing strategies for packet-based communication in brain networks, Makoto Fukushima, Kenji Leibnitz, Networks 2021 Satellite Conference: Network Neuroscience, 2021/07, Without Invitation, English, Virtual event
  16. Intrinsic brain network dynamics and general intelligence, Kirsten Hilger, Maren Wehrheim, Makoto Fukushima, Josh Faszkowitz, Olaf Sporns, Christian Fiebach, Matthias Kaschube, 46th Annual Meeting: Psychology and Brain, 2021/06, Without Invitation, English, Virtual event
  17. Network analysis of structural and functional connectivity in the human brain, Makoto Fukushima, 731st Human Brain Research Center Seminar (Graduate School of Medicine, Kyoto University), 2021/05, With Invitation, Japanese, Virtual event
  18. Network analysis of brain connectivity data, Makoto Fukushima, 4th Japanese Meeting for Human Brain Imaging, 2020/09, With Invitation, Japanese, Virtual event
  19. A routing model for neural communication on the macroscale connectome, Makoto Fukushima, Kenji Leibnitz, 43rd Annual Meeting of the Japan Neuroscience Society, 2020/07, Without Invitation, Japanese, Virtual event
  20. Exploring the brain's routing strategies by simulating packet-based communication on the connectome, Makoto Fukushima, Kenji Leibnitz, 26th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2020), 2020/06, Without Invitation, English, Virtual event
  21. Discrete-event simulation of packet-based communication on brain networks, Makoto Fukushima, Kenji Leibnitz, 64th Annual Conference of the Institute of Systems, Control and Information Engineers, 2020/05, Without Invitation, Japanese, Virtual event
  22. Simulating packet-based communication on brain structural networks, Makoto Fukushima, Kenji Leibnitz, NetSci-X 2020: International School and Conference on Network Science, 2020/01, Without Invitation, English, Tokyo (Japan)
  23. Structural determinants of network dynamics on the human connectome, Makoto Fukushima, Olaf Sporns, Joint meeting of the 42nd Annual Meeting of the Japan Neuroscience Society and the 62nd Annual Meeting of the Japanese Society for Neurochemistry, 2019/07, Without Invitation, Japanese, Niigata
  24. Intelligence is associated with intrinsic stability of functional brain modules, Kirsten Hilger, Makoto Fukushima, Christian Fiebach, Olaf Sporns, 20th Annual Conference of the International Society for Intelligence Research, 2019/07, Without Invitation, English, Minneapolis (U.S.)
  25. Intelligence is associated with intrinsic stability of functional brain modules, Kirsten Hilger, Makoto Fukushima, Ulrike Basten, Christian Fiebach, Olaf Sporns, 45th Annual Meeting: Psychology and Brain, 2019/06, Without Invitation, English, Dresden (Germany)
  26. Structural determinants of dynamic fluctuations in brain functional network topology, Makoto Fukushima, Olaf Sporns, 25th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2019), 2019/06, Without Invitation, English, Rome (Italy)
  27. Structural determinants of dynamic fluctuations between segregation and integration on the human connectome, Makoto Fukushima, Olaf Sporns, NetSci 2019 Satellite Conference: Network Neuroscience, 2019/05, Without Invitation, English, Burlington (U.S.)
  28. Estimation and analysis of human brain networks, Makoto Fukushima, Lab Seminar (National Institute for Physiological Sciences), 2019/01, With Invitation, Japanese, Okazaki
  29. Fluctuations in global network topology of modeled and empirical functional connectivity, Makoto Fukushima, Olaf Sporns, 2nd Japanese Meeting for Human Brain Imaging, 2018/09, Without Invitation, Japanese, Machida
  30. Fluctuations in global network topology of resting-state functional connectivity: comparison of modeled and empirical data, Makoto Fukushima, Olaf Sporns, 6th Biennial Conference on Resting State and Brain Connectivity, 2018/09, Without Invitation, English, Montreal (Canada)
  31. Fluctuations in global network topology of human brain functional connectivity: comparison of modeled and empirical data, Makoto Fukushima, Olaf Sporns, 41st Annual Meeting of the Japan Neuroscience Society, 2018/07, Without Invitation, Japanese, Kobe
  32. Structure-function relationships during segregated and integrated network states of human brain functional connectivity, Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns, 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2017), 2017/11, Without Invitation, English, Washington D.C. (U.S.)
  33. Signal transmission event analysis of human brain network dynamics, Okito Yamashita, Makoto Fukushima, Masa-aki Sato, 40th Annual Meeting of the Japan Neuroscience Society, 2017/07, Without Invitation, Japanese, Chiba
  34. Structure-function relationships in segregated and integrated states of time-resolved brain networks, Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns, NetSci 2017: International School and Conference on Network Science, 2017/06, Without Invitation, English, Indianapolis (U.S.)
  35. Estimating signal flow chains from a network dynamics model of the human brain, Yusuke Takeda, Nobuo Hiroe, Makoto Fukushima, Masa-aki Sato, Okito Yamashita, 23rd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2017), 2017/06, Without Invitation, English, Vancouver (Canada)
  36. Individual variability and connectivity dynamics in modular organization of human cortical functional networks, Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns, 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016/11, Without Invitation, English, San Diego (U.S.)
  37. Identifying information flows for visual motion perception from a network dynamics model of the human brain, Yusuke Takeda, Nobuo Hiroe, Makoto Fukushima, Masa-aki Sato, Okito Yamashita, 20th International Conference on Biomagnetism (BIOMAG 2016), 2016/10, Without Invitation, English, Seoul (South Korea)
  38. Identifying important information flows from a network dynamics model of the human brain, Yusuke Takeda, Nobuo Hiroe, Makoto Fukushima, Masa-aki Sato, Okito Yamashita, 39th Annual Meeting of the Japan Neuroscience Society, 2016/07, Without Invitation, Japanese, Yokohama
  39. Spatial patterns and flow dynamics in functional connectivity states across the human lifespan, Makoto Fukushima, Richard F. Betzel, Ye He, Xi-Nian Zuo, Olaf Sporns, 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), 2016/06, Without Invitation, English, Geneva (Switzerland)
  40. Structurally-constrained functional brain networks as revealed by the combinatorial use of non-invasive neuroimaging modalities, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 37th Annual Meeting of the Japan Neuroscience Society, 2014/09, Without Invitation, Japanese, Yokohama
  41. MEG source reconstruction with identifying directed source interactions on structural brain networks, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 19th International Conference on Biomagnetism (BIOMAG 2014), 2014/08, Without Invitation, English, Halifax (Canada)
  42. Estimation of structurally-constrained functional brain networks at a macroscopic scale, Makoto Fukushima, Complex Networks Summer School 2014, 2014/08, Without Invitation, Japanese, Sendai
  43. Reconstructing neuronal current sources based on identifying directed source interactions on structural brain networks, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 29th Annual Meeting of Japan Biomagnetism and Bioelectromagnetics Society, 2014/05, Without Invitation, Japanese, Suita
  44. MEG source reconstruction spatiotemporally constrained by prior knowledge of anatomical connectivity, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, Joint Meeting of the 36th Annual Meeting of the Japan Neuroscience Society, the 56th Annual Meeting of the Japanese Society for Neurochemistry, and the 23rd Annual Conference of the Japanese Neural Network Society, 2013/06, Without Invitation, Japanese, Kyoto
  45. Diffusion MRI informed dynamic MEG source reconstruction with application to face recognition data, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 19th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2013), 2013/06, Without Invitation, English, Seattle (U.S.)
  46. A state-space modeling approach for reconstructing the spatially focal and temporally smooth current sources using the spatially inhomogeneous dynamical model, Okito Yamashita, Makoto Fukushima, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 18th International Conference on Biomagnetism (BIOMAG 2012), 2012/08, Without Invitation, English, Paris (France)
  47. Localizing focal current sources from MEG data based on state-space approach, Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 34th Annual Meeting of the Japan Neuroscience Society, 2011/09, Without Invitation, Japanese, Yokohama
  48. Localizing focal sources from MEG by efficient inference in a high dimensional state-space model, Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2011), 2011/06, Without Invitation, English, Quebec City (Canada)
  49. Magnetoencephalography (MEG) source localization method with temporal smoothness constraint based on high-dimensional state space model, Makoto Fukushima, Okito Yamashita, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, Joint Meeting of the 33rd Annual Meeting of the Japan Neuroscience Society, the 53rd Annual Meeting of the Japanese Society for Neurochemistry, and the 20th Annual Conference of the Japanese Neural Network Society, 2010/09, Without Invitation, Japanese, Kobe
  50. Spatio-temporal priors for the MEG inverse problem: a state space approach, Makoto Fukushima, Okito Yamashita, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 5th International Summer School in Biomedical Engineering—Multimodal Integration of Functional Brain Measurements, 2010/08, Without Invitation, English, Wittenberg (Germany)
  51. A real-time balancing task of an inverted pendulum using ankle muscle EMG during human upright stance, Shota Tateyama, Yoshiyuki Asai, Makoto Fukushima, Taishin Nomura, 54th Annual Conference of the Institute of Systems, Control and Information Engineers, 2010/05, Without Invitation, Japanese, Kyoto

External Funds

Acceptance Results of Competitive Funds

  1. Research Incentive Grant, An analysis of the function of the brain connectome using machine learning tasks, 2024/03/01, 2025/03/31
  2. Grant-in-Aid for Early-Career Scientists, Identification of spatiotemporal brain activity patterns triggering global state changes in functional brain networks, 2021/04/01, 2024/03/31
  3. Grant-in-Aid for Scientific Research on Innovative Areas, Simulation analysis and interspecies comparison of neural communication over macroscopic structural brain connections, 2020/04, 2022/03
  4. Collaborative Technical Development in Data-Driven Brain Science, Network analysis of multiscale structural and functional connectome data, 2020/04, 2021/03
  5. Education and Research Activities Grant, Integrative analysis of the spatiotemporal dynamics of brain activity and functional connectivity, 2020/04, 2021/03
  6. 30th Anniversary Research Grant, 2020/04, 2021/03
  7. Grant-in-Aid for Early-Career Scientists, Understanding generative mechanisms of switching between segregated and integrated states of brain functional networks, 2019/04, 2021/03
  8. Grant-in-Aid for JSPS Fellows, Analysis and application of the function of brain structural networks in the context of information networking, 2018/04, 2020/03
  9. Grant-in-Aid for JSPS Fellows, A study on improving the accuracy of MEG source reconstruction by model identification of brain activity dynamics, 2011/04, 2013/03

Social Activities

History as Peer Reviews of Academic Papers

  1. 2023, Network Neuroscience, Others, Ad Hoc Reviewer, 1
  2. 2022, PLOS ONE, Others, Ad Hoc Reviewer, 1
  3. 2022, NeuroImage, Others, Ad Hoc Reviewer, 1
  4. 2022, Network Neuroscience, Others, Ad Hoc Reviewer, 1
  5. 2022, Human Brain Mapping, Others, Ad Hoc Reviewer, 1
  6. 2022, Communications Physics, Others, Ad Hoc Reviewer, 1
  7. 2021, Communications Physics, Others, Ad Hoc Reviewer, 1
  8. 2020, Brain Structure and Function, Others, Ad Hoc Reviewer, 1
  9. 2019, NeuroImage, Others, Ad Hoc Reviewer, 2
  10. 2019, Network Neuroscience, Others, Ad Hoc Reviewer, 1
  11. 2018, Physics Letters A, Others, Ad Hoc Reviewer, 1
  12. 2018, Neural Networks, Others, Ad Hoc Reviewer, 1
  13. 2018, Journal of Neuroscience Methods, Others, Ad Hoc Reviewer, 1
  14. 2018, Brain Structure and Function, Others, Ad Hoc Reviewer, 2
  15. 2017, NeuroImage, Others, Ad Hoc Reviewer, 1
  16. 2017, European Archives of Psychiatry and Clinical Neuroscience, Others, Ad Hoc Reviewer, 1
  17. 2016, NeuroImage, Others, Ad Hoc Reviewer, 1
  18. 2015, IEEE Journal of Selected Topics in Signal Processing, Others, Ad Hoc Reviewer, 1
  19. 2013, Neural Networks, Others, Ad Hoc Reviewer, 1