Akira Kunimatsu
Biographic Data
| ID | 7969733 |
|---|---|
| NAME | Akira Kunimatsu |
| GIVEN NAMES | Akira |
| FAMILY NAME | Kunimatsu |
| SIGNATURE | KUNIMATSU A |
| AFFILIATIONS | University of Tokyo Hospital |
| ORCID | 0000-0002-7141-2585 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts
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…
Anatomical Templates of the Midbrain Ventral Tegmental Area and Substantia Nigra for Asian Populations
Increasing evidence shows that the midbrain dopaminergic system is involved in various functions. However, details of the role of the midbrain dopaminergic system in these functions are still to be determined in humans. Considering that the ventral tegmental area (VTA) and substantia nigra (SN) in the midbrain are the primary dopamine producers, creating reliable anatomical templates of the VTA and SN through neuroimaging studies would be useful …
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Anatomical Templates of the Midbrain Ventral Tegmental Area and Substantia Nigra for Asian Populations
Increasing evidence shows that the midbrain dopaminergic system is involved in various functions. However, details of the role of the midbrain dopaminergic system in these functions are still to be determined in humans. Considering that the ventral tegmental area (VTA) and substantia nigra (SN) in the midbrain are the primary dopamine producers, creating reliable anatomical templates of the VTA and SN through neuroimaging studies would be useful …
Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts
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…
Functional Brain Connectivity Studies (2 works) · Functional magnetic resonance imaging (2 works) · Medicine (2 works) · Neuroscience (2 works) · Population (2 works) · Psychology (2 works) · Advanced MRI Techniques and Applications (1 work) · Advanced Neuroimaging Techniques and Applications (1 work) · Anxiety (1 work) · Beck Depression Inventory (1 work)