Publications

[Makoto Fukushima in Google Scholar]

Journal Articles

1. Makoto Fukushima, Kenji Leibnitz,
   "Effects of packetization on communication dynamics in brain networks,"
   Network Neuroscience, vol. 8, no. 2, pp. 418–436, 2024. [doi] [bioRxiv] [metrics]

2. Maria Pope, Makoto Fukushima, Richard F. Betzel, Olaf Sporns,
   "Modular origins of high-amplitude cofluctuations in fine-scale functional connectivity dynamics,"
   Proceedings of the National Academy of Sciences of the U.S.A., vol. 118, no. 46, e2109380118, 2021. [doi] [bioRxiv] [metrics]

3. Makoto Fukushima, Olaf Sporns,
   "Structural determinants of dynamic fluctuations between segregation and integration on the human connectome,"
   Communications Biology, vol. 3, 606, 2020. [doi] [bioRxiv] [metrics]

4. Kirsten Hilger, Makoto Fukushima, Olaf Sporns, Christian J. Fiebach,
   "Temporal stability of functional brain modules associated with human intelligence,"
   Human Brain Mapping, vol. 41, no. 2, pp. 362–372, 2020. [doi] [metrics]

5. Makoto Fukushima, Olaf Sporns,
   "Comparison of fluctuations in global network topology of modeled and empirical brain functional connectivity,"
   PLOS Computational Biology, vol. 14, no. 9, e1006497, 2018. [doi] [metrics]

6. Makoto Fukushima, Richard F. Betzel, Ye He, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns,
   "Structure–function relationships during segregated and integrated network states of human brain functional connectivity,"
   Brain Structure and Function, vol. 223, no. 3, pp. 1091–1106, 2018. [doi] [PMC] [metrics]

7. Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns,
   "Fluctuations between high- and low-modularity topology in time-resolved functional connectivity,"
   NeuroImage, vol. 180, pp. 406–416, 2018. [doi] [arXiv] [metrics]

8. Richard F. Betzel, Makoto Fukushima, Ye He, Xi-Nian Zuo, Olaf Sporns,
   "Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks,"
   NeuroImage, vol. 127, pp. 287–297, 2016. [doi] [arXiv] [metrics]

9. Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato,
   "MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks,"
   NeuroImage, vol. 105, pp. 408–427, 2015 (*selected for the cover image). [doi] [note] [corrigendum] [metrics]

10. Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato,
    "A state-space modeling approach for localization of focal current sources from MEG,"
    IEEE Transactions on Biomedical Engineering, vol. 59, no. 6, pp. 1561–1571, 2012. [doi] [pdf] [corrigendum] [metrics]

Conference Proceedings

1. Makoto Fukushima,
   "The effect of introducing randomness into connectome-based reservoir weights when solving neuroscience tasks,"
   Proc. 32nd International Conference on Neural Information Processing (ICONIP 2025, acceptance rate: 39%),
   In: Communications in Computer and Information Science, vol. 2757, pp. 215–229, 2025. [doi];
   Onna, Kunigami (Japan), November 2025. [poster]

2. Atsuko Takahashi, Ling Zhu, Makoto Fukushima,
   "The role of brain connectivity patterns in applying connectome-based reservoir computing to neuroscience tasks,"
   Proc. International Joint Conference on Neural Networks (IJCNN 2025, acceptance rate: 39%), pp. 1–8, 2025. [doi] [pdf];
   Rome (Italy), July 2025. [poster]

3. Makoto Fukushima, Kenji Leibnitz,
   "Comparison of message-switched and packet-switched communication simulated on the human connectome,"
   Proc. 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024), pp. 1–4, 2024. [doi];
   Orlando (U.S.), July 2024. [talk]

4. Ryo Nishimura, Makoto Fukushima,
   "Comparing connectivity-to-reservoir conversion methods for connectome-based reservoir computing,"
   Proc. International Joint Conference on Neural Networks (IJCNN 2024), pp. 1–8, 2024. [doi] [pdf];
   Yokohama (Japan), July 2024. [talk]

5. Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato,
   "MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model,"
   Proc. 10th IEEE International Symposium on Biomedical Imaging (ISBI 2013), pp. 1002–1005, 2013. [doi];
   San Francisco (U.S.), April 2013. [poster] 

Book Chapters

1. Makoto Fukushima, Okito Yamashita, Masa-aki Sato,
   "State space methods for MEG source reconstruction,"
   In: Advanced State Space Methods for Neural and Clinical Data (Zhe Chen ed.), Cambridge, U.K.:
   Cambridge University Press, chap. 3, pp. 53–78, 2015. [doi] [Google Books]

In Japanese

1. Makoto Fukushima,
   "Modeling interregional communication dynamics in macroscopic structural brain networks,"
   The Brain & Neural Networks (published by the Japanese Neural Network Society), vol. 32, no. 2, pp. 108–114, 2025. [doi]

2. Makoto Fukushima,
   "Functional connectivity,"
   Brain Science Dictionary (Japanese-language online encyclopedia of neuroscience), 2021. [doi]