Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Hideo Matsuzaki

h-index 3 View on Semantic Scholar

We have 4 of 19 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Deletion of N-ethylmaleimide-sensitive factor in dopamine D2 receptor-expressing cells impairs striatal development and dopaminergic function and induces ADHD-like behaviors in mice.

N-ethylmaleimide-sensitive factor (NSF) regulates membrane fusion, supporting neurotransmitter release and membrane protein trafficking. NSF dysfunction has been linked to neuropsychiatric disorders. Although NSF interacts with dopamine D2 receptor (D2R), and NSF reduction induces excitotoxicity in vitro, its role in D...

Min-Jue Xie, Koshi Murata, Hiroshi Kuniishi et al. · 0 citations
Open access Aug 2026

Adjunctive utility of gaze-based indices obtained with Gazefinder for ADHD assessment in children.

Eye-tracking represents a promising method for quantifying attentional control characteristics associated with ADHD, and several gaze indices were significantly associated with inhibitory control measures and behavioral symptoms, and select associations remained significant after controlling for diagnosis.

Masanori Fujieda, Masatoshi Yamashita, Sayo Hamatani et al. · 0 citations
Open access Aug 2026

Atypical development of white matter structural networks in children and adolescents with autism spectrum disorder: a graph theory study

Topological disorganization in the autistic brain network varies across developmental stages, shifting from reduced global integration in childhood to enhanced segregation of social-brain circuits in adolescence.

Min Li, Kohei Kurita, Takashi Yamada et al. · 0 citations
Open access Jul 2026

Transdiagnostic monoamine-based subtyping for attention-deficit/hyperactivity disorder and autism spectrum disorder via unsupervised machine learning

It is suggested that urinary MM-defined NDD-A and NDD-B phenotypes are associated with distinct cognitive and brain structural characteristics and may provide a novel framework for understanding within-disorder heterogeneity and cross-disorder phenotypic overlaps.

Masatoshi Yamashita, Qiulu Shou, Sayo Hamatani et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.