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Masahiro Takamura

Biographic Data

ID5855722
NAMEMasahiro Takamura
GIVEN NAMESMasahiro
FAMILY NAMETakamura
SIGNATURETAKAMURA M
AFFILIATIONSHiroshima University
ORCID0000-0001-9742-152X
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS1
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Virtual peers reduce gambling symptoms and related problems of moderate-risk gamblers

    Open Access•Kenji Yokotani, Yosuke Seki et al.•ARTICLE•Computers in Human Behavior•2026

  • Effect of pachinko parlour openings and closings on neighbourhood income-generating crimes in Japan

    Open Access•Kenji Yokotani, Nobuhito Abe et al.•ARTICLE•BMC Public Health•2024

    The highest income-generating crime incidence rate was observed within a 0.5-1 km and 1-5 km radius of pachinko parlours. The opening of pachinko parlours also increased income-generating crime incidence rates, which increased after closing. Pachinko parlours are considered to be creating public harm because the corporate activities of these parlours make the youth in their neighbourhood perpetrators of fraud and older adults its victims. Future …

  • Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors

    Open Access•Satoshi Yokoyama, Fumi Kagawa et al.•ARTICLE•BMC Public Health•2023

    Automatic and objective physical activity data from wearable devices showed that diurnal switching of physical activity, as well as day-to-day regularity rhythms, reduced depression-related behaviors. These time-series parameters may be useful for detecting behavioral issues that lie outside individuals' subjective awareness

  • 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…

  • Modeling Heterogeneous Brain Dynamics of Depression and Melancholia Using Energy Landscape Analysis

    Open Access•Paul Rossener Regonia, Masahiro Takamura et al.•ARTICLE•Frontiers in Psychiatry•2021

    Our current understanding of melancholic depression is shaped by its position in the depression spectrum. The lack of consensus on how it should be treated-whether as a subtype of depression, or as a distinct disorder altogethe-interferes with the recovery of suffering patients. In this study, we analyzed brain state energy landscape models of melancholic depression, in contrast to healthy and non-melancholic energy landscapes. Our analyses showe…

  • Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI

    Open Access•Takashi Nakano, Masahiro Takamura et al.•ARTICLE•Frontiers in Psychiatry•2020

    Resting-state fMRI has the potential to help doctors detect abnormal behavior in brain activity and to diagnose patients with depression. However, resting-state fMRI has a bias depending on the scanner site, which makes it difficult to diagnose depression at a new site. In this paper, we propose methods to improve the performance of the diagnosis of major depressive disorder (MDD) at an independent site by reducing the site bias effects using reg…

  • Altered Gamma-Band Activity as a Potential Biomarker for the Recurrence of Major Depressive Disorder

    Open Access•Tetsuya Yamamoto, Nagisa Sugaya et al.•ARTICLE•Frontiers in Psychiatry•2018

    Background: The neurophysiological mechanisms of cognitive reactivity, the primary vulnerability factor of major depressive disorder (MDD) recurrence, remain unclear in individuals with recovered MDD (rMDD). Because gamma-band responses (GBRs) can be used to measure cognitive processing, they may also be useful for elucidating the mechanisms underlying cognitive reactivity. Identifying these mechanisms may permit the development of an index for p…

  • Functional Alterations of Postcentral Gyrus Modulated by Angry Facial Expressions during Intraoral Tactile Stimuli in Patients with Burning Mouth Syndrome

    Open Access•Atsuo Yoshino, Yasumasa Okamoto et al.•ARTICLE•Frontiers in Psychiatry•2017

    Previous findings suggest that negative emotions could influence abnormal sensory perception in burning mouth syndrome (BMS). However, few studies have investigated the underlying neural mechanisms associated with BMS. We examined activation of brain regions in response to intraoral tactile stimuli when modulated by angry facial expressions. We performed functional magnetic resonance imaging on a group of 27 BMS patients and 21 age-matched health…

  • Altruistic People Show No Self-Reference Effect in Memory

    Takashi Nakao, Satoko Tokunaga et al.•ARTICLE•The Journal of General Psychology•2012•Cited by: 1•References: 1

    The self-reference effect (SRE), by which encoding of information is done in a self-referential manner (e.g., "Does the word describe you?"), enhances subsequent memory performance. It is thought to reflect that self-reference is a highly practiced task in everyday life. Accordingly, it is expected that the types of tasks that produce memory enhancement vary according to individual differences of past experiences. On the basis of neuroimaging stu…

  • Altruistic People Show No Self-Reference Effect in Memory

    Takashi Nakao, Satoko Tokunaga et al.•ARTICLE•The Journal of General Psychology•2012•Cited by: 1•References: 1

    The self-reference effect (SRE), by which encoding of information is done in a self-referential manner (e.g., "Does the word describe you?"), enhances subsequent memory performance. It is thought to reflect that self-reference is a highly practiced task in everyday life. Accordingly, it is expected that the types of tasks that produce memory enhancement vary according to individual differences of past experiences. On the basis of neuroimaging stu…

  • Altruistic People Show No Self-Reference Effect in Memory

    Takashi Nakao, Satoko Tokunaga et al.•ARTICLE•The Journal of General Psychology•2012•Cited by: 1•References: 1

    The self-reference effect (SRE), by which encoding of information is done in a self-referential manner (e.g., "Does the word describe you?"), enhances subsequent memory performance. It is thought to reflect that self-reference is a highly practiced task in everyday life. Accordingly, it is expected that the types of tasks that produce memory enhancement vary according to individual differences of past experiences. On the basis of neuroimaging stu…

  • Functional Alterations of Postcentral Gyrus Modulated by Angry Facial Expressions during Intraoral Tactile Stimuli in Patients with Burning Mouth Syndrome

    Open Access•Atsuo Yoshino, Yasumasa Okamoto et al.•ARTICLE•Frontiers in Psychiatry•2017

    Previous findings suggest that negative emotions could influence abnormal sensory perception in burning mouth syndrome (BMS). However, few studies have investigated the underlying neural mechanisms associated with BMS. We examined activation of brain regions in response to intraoral tactile stimuli when modulated by angry facial expressions. We performed functional magnetic resonance imaging on a group of 27 BMS patients and 21 age-matched health…

  • Altered Gamma-Band Activity as a Potential Biomarker for the Recurrence of Major Depressive Disorder

    Open Access•Tetsuya Yamamoto, Nagisa Sugaya et al.•ARTICLE•Frontiers in Psychiatry•2018

    Background: The neurophysiological mechanisms of cognitive reactivity, the primary vulnerability factor of major depressive disorder (MDD) recurrence, remain unclear in individuals with recovered MDD (rMDD). Because gamma-band responses (GBRs) can be used to measure cognitive processing, they may also be useful for elucidating the mechanisms underlying cognitive reactivity. Identifying these mechanisms may permit the development of an index for p…

  • Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI

    Open Access•Takashi Nakano, Masahiro Takamura et al.•ARTICLE•Frontiers in Psychiatry•2020

    Resting-state fMRI has the potential to help doctors detect abnormal behavior in brain activity and to diagnose patients with depression. However, resting-state fMRI has a bias depending on the scanner site, which makes it difficult to diagnose depression at a new site. In this paper, we propose methods to improve the performance of the diagnosis of major depressive disorder (MDD) at an independent site by reducing the site bias effects using reg…

  • 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…

  • Modeling Heterogeneous Brain Dynamics of Depression and Melancholia Using Energy Landscape Analysis

    Open Access•Paul Rossener Regonia, Masahiro Takamura et al.•ARTICLE•Frontiers in Psychiatry•2021

    Our current understanding of melancholic depression is shaped by its position in the depression spectrum. The lack of consensus on how it should be treated-whether as a subtype of depression, or as a distinct disorder altogethe-interferes with the recovery of suffering patients. In this study, we analyzed brain state energy landscape models of melancholic depression, in contrast to healthy and non-melancholic energy landscapes. Our analyses showe…

  • Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors

    Open Access•Satoshi Yokoyama, Fumi Kagawa et al.•ARTICLE•BMC Public Health•2023

    Automatic and objective physical activity data from wearable devices showed that diurnal switching of physical activity, as well as day-to-day regularity rhythms, reduced depression-related behaviors. These time-series parameters may be useful for detecting behavioral issues that lie outside individuals' subjective awareness

  • Effect of pachinko parlour openings and closings on neighbourhood income-generating crimes in Japan

    Open Access•Kenji Yokotani, Nobuhito Abe et al.•ARTICLE•BMC Public Health•2024

    The highest income-generating crime incidence rate was observed within a 0.5-1 km and 1-5 km radius of pachinko parlours. The opening of pachinko parlours also increased income-generating crime incidence rates, which increased after closing. Pachinko parlours are considered to be creating public harm because the corporate activities of these parlours make the youth in their neighbourhood perpetrators of fraud and older adults its victims. Future …

  • Virtual peers reduce gambling symptoms and related problems of moderate-risk gamblers

    Open Access•Kenji Yokotani, Yosuke Seki et al.•ARTICLE•Computers in Human Behavior•2026

Psychology (6 works) · Medicine (5 works) · Depression (economics (4 works) · Functional Brain Connectivity Studies (4 works) · Neuroscience (4 works) · Clinical Psychology (3 works) · Clinical Psychology (3 works) · Cognition (3 works) · Computer Science (3 works) · Major depressive disorder (3 works)

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