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Hirotaka Yamagata

Biographic Data

ID7657604
NAMEHirotaka Yamagata
GIVEN NAMESHirotaka
FAMILY NAMEYamagata
SIGNATUREYAMAGATA H
AFFILIATIONSYamaguchi University
ORCID0000-0002-5783-7237
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data

    Open Access•Hidenori Endo, Shigeyuki Ikeda et al.•ARTICLE•Frontiers in Psychiatry•2024

    To the best of our knowledge, this study showed initial evidence of the alteration of occurrence of the dynamic modes between MDD and HCs. To deepen understanding of how the alteration of the dynamic modes emerges from the structure, it is vital to investigate the relationship between the dynamic modes, cortical thickness, and surface areas

  • Prescription of Anticholinergic Drugs in Patients With Schizophrenia: Analysis of Antipsychotic Prescription Patterns and Hospital Characteristics

    Open Access•Hikaru Hori, Norio Yasui‐Furukori et al.•ARTICLE•Frontiers in Psychiatry•2022

    In several clinical guidelines for schizophrenia, long-term use of anticholinergic drugs is not recommended. We investigated the characteristics of the use of anticholinergics in patients with schizophrenia by considering psychotropic prescription patterns and differences among hospitals. A cross-sectional, retrospective prescription survey at the time of discharge was conducted on 2027 patients with schizophrenia from 69 Japanese hospitals. We e…

  • Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts

    Open Access•Ayumu Yamashita, Yuki Sakai et al.•ARTICLE•Frontiers in Psychiatry•2021

    Large-scale neuroimaging data acquired and shared by multiple institutions are essential to advance neuroscientific understanding of pathophysiological mechanisms in psychiatric disorders, such as major depressive disorder (MDD). About 75% of studies that have applied machine learning technique to neuroimaging have been based on diagnoses by clinicians. However, an increasing number of studies have highlighted the difficulty in finding a clear as…

  • Regular Moderate- to Vigorous-Intensity Physical Activity Rather Than Walking Is Associated with Enhanced Cognitive Functions and Mental Health in Young Adults

    Open Access•Takumi Nakagawa, Ibuki Koan et al.•ARTICLE•International Journal of…•2020

    The beneficial effect of physical activity (PA) on the brain has been well established. Both acute and regular PA can boost a range of cognitive functions and enhance mood and mental health. Notably, the effect of acute PA on the brain and cognitive functions is generally found to be dose-dependent, in terms of both the amount and intensity of the exercise episode. In contrast, in the case of regular PA, the literature has primarily focused on th…

No prominent works on this page.

  • Regular Moderate- to Vigorous-Intensity Physical Activity Rather Than Walking Is Associated with Enhanced Cognitive Functions and Mental Health in Young Adults

    Open Access•Takumi Nakagawa, Ibuki Koan et al.•ARTICLE•International Journal of…•2020

    The beneficial effect of physical activity (PA) on the brain has been well established. Both acute and regular PA can boost a range of cognitive functions and enhance mood and mental health. Notably, the effect of acute PA on the brain and cognitive functions is generally found to be dose-dependent, in terms of both the amount and intensity of the exercise episode. In contrast, in the case of regular PA, the literature has primarily focused on th…

  • Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts

    Open Access•Ayumu Yamashita, Yuki Sakai et al.•ARTICLE•Frontiers in Psychiatry•2021

    Large-scale neuroimaging data acquired and shared by multiple institutions are essential to advance neuroscientific understanding of pathophysiological mechanisms in psychiatric disorders, such as major depressive disorder (MDD). About 75% of studies that have applied machine learning technique to neuroimaging have been based on diagnoses by clinicians. However, an increasing number of studies have highlighted the difficulty in finding a clear as…

  • Prescription of Anticholinergic Drugs in Patients With Schizophrenia: Analysis of Antipsychotic Prescription Patterns and Hospital Characteristics

    Open Access•Hikaru Hori, Norio Yasui‐Furukori et al.•ARTICLE•Frontiers in Psychiatry•2022

    In several clinical guidelines for schizophrenia, long-term use of anticholinergic drugs is not recommended. We investigated the characteristics of the use of anticholinergics in patients with schizophrenia by considering psychotropic prescription patterns and differences among hospitals. A cross-sectional, retrospective prescription survey at the time of discharge was conducted on 2027 patients with schizophrenia from 69 Japanese hospitals. We e…

  • Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data

    Open Access•Hidenori Endo, Shigeyuki Ikeda et al.•ARTICLE•Frontiers in Psychiatry•2024

    To the best of our knowledge, this study showed initial evidence of the alteration of occurrence of the dynamic modes between MDD and HCs. To deepen understanding of how the alteration of the dynamic modes emerges from the structure, it is vital to investigate the relationship between the dynamic modes, cortical thickness, and surface areas

Functional Brain Connectivity Studies (3 works) · Medicine (3 works) · Psychiatry (3 works) · Psychology (3 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Cognition (2 works) · Functional magnetic resonance imaging (2 works) · Internal Medicine (2 works) · Major depressive disorder (2 works)

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