PUBLICATIONS

[Makoto Fukushima in Google Scholar]

学術論文

1. Makoto Fukushima, Kenji Leibnitz, "Effects of packetization on communication dynamics in brain networks," Network Neuroscience, 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 United States of America, 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]

国際会議プロシーディング

1. Ryo Nishimura, Makoto Fukushima, "Comparing connectivity-to-reservoir conversion methods for connectome-based reservoir computing," In: Proc. International Joint Conference on Neural Networks (IJCNN 2024), 8 pages, 2024. Yokohama (Japan), July 2024 (forthcoming).

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

書籍（分担執筆）

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]

解説記事

1. 福嶋 誠，「機能的結合」，脳科学辞典，2021年． [doi]