User profiles for Giuseppe Lisi

Giuseppe Lisi

Former Computational Neuroscience Labs, ATR, Kyoto, Japan
Verified email at atr.jp
Cited by 970

[HTML][HTML] A small number of abnormal brain connections predicts adult autism spectrum disorder

N Yahata, J Morimoto, R Hashimoto, G Lisi… - Nature …, 2016 - nature.com
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …

[HTML][HTML] A multi-site, multi-disorder resting-state magnetic resonance image database

SC Tanaka, A Yamashita, N Yahata, T Itahashi, G Lisi… - Scientific data, 2021 - nature.com
Abstract Machine learning classifiers for psychiatric disorders using resting-state functional
magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method for …

[HTML][HTML] Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement …

A Yamashita, N Yahata, T Itahashi, G Lisi… - PLoS …, 2019 - journals.plos.org
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. …

[HTML][HTML] Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback

K Shibata, G Lisi, A Cortese, T Watanabe, Y Sasaki… - NeuroImage, 2019 - Elsevier
Real-time functional magnetic resonance imaging (fMRI) neurofeedback is an experimental
framework in which fMRI signals are presented to participants in a real-time manner to …

[HTML][HTML] A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity

Y Takagi, Y Sakai, G Lisi, N Yahata, Y Abe, S Nishida… - Scientific reports, 2017 - nature.com
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 …

[HTML][HTML] Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants

N Ichikawa, G Lisi, N Yahata, G Okada, M Takamura… - Scientific reports, 2020 - nature.com
The limited efficacy of available antidepressant therapies may be due to how they affect the
underlying brain network. The purpose of this study was to develop a melancholic MDD …

[HTML][HTML] EEG single-trial detection of gait speed changes during treadmill walk

G Lisi, J Morimoto - PloS one, 2015 - journals.plos.org
In this study, we analyse the electroencephalography (EEG) signal associated with gait
speed changes (ie acceleration or deceleration). For data acquisition, healthy subjects were …

Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity

Y Yoshihara, G Lisi, N Yahata, J Fujino… - Schizophrenia …, 2020 - academic.oup.com
Although the relationship between schizophrenia spectrum disorder (SSD) and autism spectrum
disorder (ASD) has long been debated, it has not yet been fully elucidated. The authors …

Quantification of anticipation of excitement with a three-axial model of emotion with EEG

MG Machizawa, G Lisi, N Kanayama… - Journal of Neural …, 2020 - iopscience.iop.org
Objective. Multiple facets of human emotion underlie diverse and sparse neural mechanisms.
Among the many existing models of emotion, the two-dimensional circumplex model of …

[HTML][HTML] Markov switching model for quick detection of event related desynchronization in EEG

G Lisi, D Rivela, A Takai, J Morimoto - Frontiers in neuroscience, 2018 - frontiersin.org
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 …