Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Giuseppe Lisi"'
Autor:
Asuka Takai, Qiushi Fu, Yuzuru Doibata, Giuseppe Lisi, Toshiki Tsuchiya, Keivan Mojtahedi, Toshinori Yoshioka, Mitsuo Kawato, Jun Morimoto, Marco Santello
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Are leaders made or born? Leader–follower roles have been well characterized in social science, but they remain somewhat obscure in sensory-motor coordination. Furthermore, it is unknown how and why leader–follower relationships are acqu
Externí odkaz:
https://doaj.org/article/076950dee0a84407845036b2ea96e199
Autor:
Saori C. Tanaka, Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, Masahiro Takamura, Yujiro Yoshihara, Akira Kunimatsu, Naohiro Okada, Ryuichiro Hashimoto, Go Okada, Yuki Sakai, Jun Morimoto, Jin Narumoto, Yasuhiro Shimada, Hiroaki Mano, Wako Yoshida, Ben Seymour, Takeshi Shimizu, Koichi Hosomi, Youichi Saitoh, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Okito Yamashita, Mitsuo Kawato, Hiroshi Imamizu
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-15 (2021)
Measurement(s) mental or behavioural disorder • brain measurement • Demographic Data Technology Type(s) functional magnetic resonance imaging • magnetic resonance imaging • Resting State Functional Connectivity Magnetic Resonance Imaging Fact
Externí odkaz:
https://doaj.org/article/44b7a586914e4be29627ff2e5d84e4cb
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Improving human motor performance via physical guidance by an assist robot device is a major field of interest of the society in many different contexts, such as rehabilitation and sports training. In this study, we propose a Bayesian estimation meth
Externí odkaz:
https://doaj.org/article/93760833a9ea4b7ab6569b74d3ceb317
Autor:
Yu Takagi, Yuki Sakai, Giuseppe Lisi, Noriaki Yahata, Yoshinari Abe, Seiji Nishida, Takashi Nakamae, Jun Morimoto, Mitsuo Kawato, Jin Narumoto, Saori C Tanaka
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Abstract Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2–3%. Recently, brain activity in the resting state is gathering attention for exploring altered functional connectivity in psychiatric diso
Externí odkaz:
https://doaj.org/article/1050f5366cb44d368e179cc993429629
Autor:
Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, Masahiro Takamura, Yujiro Yoshihara, Akira Kunimatsu, Naohiro Okada, Hirotaka Yamagata, Koji Matsuo, Ryuichiro Hashimoto, Go Okada, Yuki Sakai, Jun Morimoto, Jin Narumoto, Yasuhiro Shimada, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Saori C Tanaka, Mitsuo Kawato, Okito Yamashita, Hiroshi Imamizu
Publikováno v:
PLoS Biology, Vol 17, Iss 4, p e3000042 (2019)
When collecting large amounts of neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because of the limited capacity of a single site. However, site differences represent a barrier when acquiring multi
Externí odkaz:
https://doaj.org/article/59e197aa4d004c4abd056cbfbc9c3b90
Autor:
Noriaki Yahata, Jun Morimoto, Ryuichiro Hashimoto, Giuseppe Lisi, Kazuhisa Shibata, Yuki Kawakubo, Hitoshi Kuwabara, Miho Kuroda, Takashi Yamada, Fukuda Megumi, Hiroshi Imamizu, José E. Náñez Sr, Hidehiko Takahashi, Yasumasa Okamoto, Kiyoto Kasai, Nobumasa Kato, Yuka Sasaki, Takeo Watanabe, Mitsuo Kawato
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-12 (2016)
Autism spectrum disorder (ASD) is manifested by subtle but significant changes in the brain. Here, Yahata and colleagues devise a novel machine learning algorithm and develop a reliable ASD classifier based on brain functional connectivity, with whic
Externí odkaz:
https://doaj.org/article/93b658df05cd497f85c55d9a81c0477d
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Quick detection of motor intentions is critical in order to minimize the time required to activate a neuroprosthesis. We propose a Markov Switching Model (MSM) to achieve quick detection of an event related desynchronization (ERD) elicited by motor i
Externí odkaz:
https://doaj.org/article/165a7fc2a87943c7873786ade6d50d16
Autor:
Giuseppe Lisi, Jun Morimoto
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0125479 (2015)
In this study, we analyse the electroencephalography (EEG) signal associated with gait speed changes (i.e. acceleration or deceleration). For data acquisition, healthy subjects were asked to perform volitional speed changes between 0, 1, and 2 Km/h,
Externí odkaz:
https://doaj.org/article/173298e39af0444eba6c796a480d23d3
Autor:
Hideaki Takeuchi, Noriaki Yahata, Giuseppe Lisi, Kosuke Tsurumi, Yujiro Yoshihara, Ryosaku Kawada, Takuro Murao, Hiroto Mizuta, Tatsunori Yokomoto, Takashi Miyagi, Yukako Nakagami, Toshinori Yoshioka, Junichiro Yoshimoto, Mitsuo Kawato, Toshiya Murai, Jun Morimoto, Hidehiko Takahashi
Publikováno v:
Psychiatry and clinical neurosciences. 76(6)
[Aim] Recently, a machine-learning (ML) technique has been used to create generalizable classifiers for psychiatric disorders based on information of functional connections (FCs) between brain regions at resting state. These classifiers predict diagn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8a00cc0189f28de73c116cccc3f3685
https://pubmed.ncbi.nlm.nih.gov/35279904
https://pubmed.ncbi.nlm.nih.gov/35279904
Autor:
Takashi Itahashi, Yasumasa Okamoto, Ayumu Yamashita, Naho Ichikawa, Yasuhiro Shimada, Giuseppe Lisi, Takeshi Shimizu, Noriaki Yahata, Nobumasa Kato, Go Okada, Mitsuo Kawato, Masahiro Takamura, Koichi Hosomi, Akira Kunimatsu, Naohiro Okada, Ryuichiro Hashimoto, Yujiro Yoshihara, Jun Morimoto, Jin Narumoto, Yuki Sakai, Saori C. Tanaka, Takashi Yamada, Hiroaki Mano, Wako Yoshida, Youichi Saitoh, Hiroshi Imamizu, Okito Yamashita, Hidehiko Takahashi, Ben Seymour, Kiyoto Kasai
Publikováno v:
Scientific Data
Scientific Data, Vol 8, Iss 1, Pp 1-15 (2021)
Scientific Data, Vol 8, Iss 1, Pp 1-15 (2021)
Machine learning classifiers for psychiatric disorders using resting-state functional magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method for directly examining relationships between neural circuits and psychiatric diso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae4eb4531ae67c2a4eb8d0a2a0671f81