Satoshi YOKOYAMA

Assistant Professor

Niigata University

Japan

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About

Satoshi Yokoyama is an Assistant Professor at Niigata University, Japan. His research focuses on the neuroanatomy of depression, behavioral activation mechanisms, and the impact of physical activity on mental health. Recent articles explore topics such as the relationship between depression severity and avoidance behaviors among university students, as well as identifying biomarkers for major depressive disorder.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (5)

Shota Ichikawa

Assistant Professor

Niigata University

JAPAN

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Yasumasa Okamoto

JAPAN

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Saori Tanaka

JAPAN

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Jun Shigematsu

University of Toyama

JAPAN

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Masahiro Takamura

Assistant Professor

Shimane University

JAPAN

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Satoshi YOKOYAMA

Research Interests

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Articles (13)

Time series-derived fractal dimension of CT perfusion in acute ischemic stroke: a promising marker for hypoperfused tissue quantification

Association between the Behavioral Activation Mechanism and Depression Severity: Focusing on Avoidance Patterns of University Students

Relationship between Value-Based Behaviors and Scheduled Activities of University Students before and during the COVID-19 Pandemic: A Longitudinal Cross-Lagged Model

Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders

An intervention to promote concrete thinking style in young adults: Effects on depressive symptoms and its protective factors.

Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression.

Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data

Factors Associated with University Students’ Deterioration from Subthreshold Depression to Depression before and during the COVID-19 Pandemic

Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data

The neuroanatomy of social trust predicts depression vulnerability

Left DLPFC activity is associated with plasma kynurenine levels and can predict treatment response to escitalopram in major depressive disorder

Trace of depression: network structure of depressive symptoms in different clinical conditions.

Decreased physical activity with subjective pleasure is associated with avoidance behaviors.

Collaborators (5)

Shota Ichikawa

Yasumasa Okamoto

Saori Tanaka

Jun Shigematsu

Masahiro Takamura

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