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Jinichi Hirano

Explore the profile of Jinichi Hirano including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 41
Citations 235
Followers 0
Related Specialties
Psychiatry
Neurology
Pharmacology
Top 10 Co-Authors
Masaru Mimura
Bun Yamagata
Akihiro Takamiya
Hiroyuki Uchida
Taishiro Kishimoto
Takefumi Suzuki
Yasuharu Yamamoto
Ryo Ueda
Takahito Uchida
Koichiro Watanabe
Published In
J ECT
Psychiatry Clin Neurosci
Front Psychiatry
J Clin Psychiatry
Front Hum Neurosci
Affiliations
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Recent Articles
1.
Electroconvulsive therapy-specific volume changes in nuclei of the amygdala and their relationship to long-term anxiety improvement in depression
Ishikawa Y, Oishi N, Kyuragi Y, Hatakoshi M, Hirano J, Noda T, et al.
Mol Psychiatry . 2024 Dec; PMID: 39681629
Electroconvulsive therapy (ECT) is one of the most effective treatments for depression. ECT induces volume changes in the amygdala, a key center of anxiety. However, the clinical relevance of ECT-induced...
2.
The status of MRI databases across the world focused on psychiatric and neurological disorders
Tanaka S, Kasai K, Okamoto Y, Koike S, Hayashi T, Yamashita A, et al.
Psychiatry Clin Neurosci . 2024 Aug; 78(10):563-579. PMID: 39162256
Neuroimaging databases for neuro-psychiatric disorders enable researchers to implement data-driven research approaches by providing access to rich data that can be used to study disease, build and validate machine learning...
3.
Glymphatic system dysfunction in mood disorders: Evaluation by diffusion magnetic resonance imaging
Ueda R, Yamagata B, Niida R, Hirano J, Niida A, Yamamoto Y, et al.
Neuroscience . 2024 Jul; 555:69-75. PMID: 39033989
The glymphatic system, an expansive cerebral waste-disposal network, harbors myriad enigmatic facets necessitating elucidation of their nexus with diverse pathologies. Murine investigations have revealed a relationship between the glymphatic system...
4.
White matter alterations in the dorsal attention network contribute to a high risk of unsafe driving in healthy older people
Yamamoto Y, Hirano J, Ueda R, Yoshitake H, Yamagishi M, Kimura M, et al.
PCN Rep . 2024 Jun; 1(3):e45. PMID: 38868688
Aim: Healthy older drivers may be at high risk of fatal traffic accidents. Our recent study showed that volumetric alterations in gray matter in the brain regions within the dorsal...
5.
Segmentation and Volume Estimation of the Habenula Using Deep Learning in Patients With Depression
Kyuragi Y, Oishi N, Hatakoshi M, Hirano J, Noda T, Yoshihara Y, et al.
Biol Psychiatry Glob Open Sci . 2024 May; 4(4):100314. PMID: 38726037
Background: The habenula is involved in the pathophysiology of depression. However, its small structure limits the accuracy of segmentation methods, and the findings regarding its volume have been inconsistent. This...
6.
Amyloid-β prediction machine learning model using source-based morphometry across neurocognitive disorders
Momota Y, Bun S, Hirano J, Kamiya K, Ueda R, Iwabuchi Y, et al.
Sci Rep . 2024 Apr; 14(1):7633. PMID: 38561395
Previous studies have developed and explored magnetic resonance imaging (MRI)-based machine learning models for predicting Alzheimer's disease (AD). However, limited research has focused on models incorporating diverse patient populations. This...
7.
Clinical characteristics and potential association to Parkinson's disease and dementia with Lewy bodies in patients with major depressive disorder who received maintenance electroconvulsive therapy: a retrospective chart review study
Kudo S, Uchida T, Nishida H, Takamiya A, Kikuchi T, Yamagata B, et al.
BMC Psychiatry . 2023 Apr; 23(1):243. PMID: 37041471
Background: Maintaining remission after electroconvulsive therapy (ECT) is clinically relevant in patients with depression, and maintenance ECT has been introduced in patients who fail to maintain remission after ECT. However,...
8.
Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol
Kishimoto T, Kinoshita S, Kikuchi T, Bun S, Kitazawa M, Horigome T, et al.
Front Psychiatry . 2023 Jan; 13:1025517. PMID: 36620664
Introduction: Few biomarkers can be used clinically to diagnose and assess the severity of depression. However, a decrease in activity and sleep efficiency can be observed in depressed patients, and...
9.
Intergenerational concordance of brain structure between depressed mothers and their never-depressed daughters
Minami F, Hirano J, Ueda R, Takamiya A, Yamagishi M, Kamiya K, et al.
Psychiatry Clin Neurosci . 2022 Sep; 76(11):579-586. PMID: 36082981
Aim: Parents have significant genetic and environmental influences, which are known as intergenerational effects, on the cognition, behavior, and brain of their offspring. These intergenerational effects are observed in patients...
10.
Individual Prediction of Remission Based on Clinical Features Following Electroconvulsive Therapy: A Machine Learning Approach
Nakajima K, Takamiya A, Uchida T, Kudo S, Nishida H, Minami F, et al.
J Clin Psychiatry . 2022 Aug; 83(5). PMID: 36005893
Previous prediction models for electroconvulsive therapy (ECT) responses have predominantly been based on neuroimaging data, which has precluded widespread application for severe cases in real-world clinical settings. The aims of...