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Published Papers 【 display / non-display 】

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

  Yosuke Sato, Go Okada, Satoshi Yokoyama, Naho Ichikawa, Masahiro Takamura, Yuki Mitsuyama, Ayaka Shimizu, Eri Itai, Hotaka Shinzato, Mitsuo Kawato, Noriaki Yahata, Yasumasa Okamoto

  Scientific reports   13 ( 1 ) 6349 - 6349   2023.04 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

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  Although the identification of late adolescents with subthreshold depression (StD) may provide a basis for developing effective interventions that could lead to a reduction in the prevalence of StD and prevent the development of major depressive disorder, knowledge about the neural basis of StD remains limited. The purpose of this study was to develop a generalizable classifier for StD and to shed light on the underlying neural mechanisms of StD in late adolescents. Resting-state functional magnetic resonance imaging data of 91 individuals (30 StD subjects, 61 healthy controls) were included to build an StD classifier, and eight functional connections were selected by using the combination of two machine learning algorithms. We applied this biomarker to an independent cohort (n = 43) and confirmed that it showed generalization performance (area under the curve = 0.84/0.75 for the training/test datasets). Moreover, the most important functional connection was between the left and right pallidum, which may be related to clinically important dysfunctions in subjects with StD such as anhedonia and hyposensitivity to rewards. Investigation of whether modulation of the identified functional connections can be an effective treatment for StD may be an important topic of future research.

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• Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders

  Yuko Nakamura, Takuya Ishida, Saori C. Tanaka, Yuki Mitsuyama, Satoshi Yokoyama, Hotaka Shinzato, Eri Itai, Go Okada, Yuko Kobayashi, Takahiko Kawashima, Jun Miyata, Yujiro Yoshihara, Hidehiko Takahashi, Ryuta Aoki, Motoaki Nakamura, Haruhisa Ota, Takashi Itahashi, Susumu Morita, Shintaro Kawakami, Osamu Abe, Naohiro Okada, Akira Kunimatsu, Ayumu Yamashita, Okito Yamashita, Hiroshi Imamizu, Jun Morimoto, Yasumasa Okamoto, Toshiya Murai, Ryu‐Ichiro Hashimoto, Kiyoto Kasai, Mitsuo Kawato, Shinsuke Koike

  Psychiatry and Clinical Neurosciences ( Wiley )    2023.03 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

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• Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets.

  Takuya Ishida, Yuko Nakamura, Saori C Tanaka, Yuki Mitsuyama, Satoshi Yokoyama, Hotaka Shinzato, Eri Itai, Go Okada, Yuko Kobayashi, Takahiko Kawashima, Jun Miyata, Yujiro Yoshihara, Hidehiko Takahashi, Susumu Morita, Shintaro Kawakami, Osamu Abe, Naohiro Okada, Akira Kunimatsu, Ayumu Yamashita, Okito Yamashita, Hiroshi Imamizu, Jun Morimoto, Yasumasa Okamoto, Toshiya Murai, Kiyoto Kasai, Mitsuo Kawato, Shinsuke Koike

  Schizophrenia bulletin     2023.03 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

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  BACKGROUND AND HYPOTHESIS: Dynamics of the distributed sets of functionally synchronized brain regions, known as large-scale networks, are essential for the emotional state and cognitive processes. However, few studies were performed to elucidate the aberrant dynamics across the large-scale networks across multiple psychiatric disorders. In this paper, we aimed to investigate dynamic aspects of the aberrancy of the causal connections among the large-scale networks of the multiple psychiatric disorders. STUDY DESIGN: We applied dynamic causal modeling (DCM) to the large-sample multi-site dataset with 739 participants from 4 imaging sites including 4 different groups, healthy controls, schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD), to compare the causal relationships among the large-scale networks, including visual network, somatomotor network (SMN), dorsal attention network (DAN), salience network (SAN), limbic network (LIN), frontoparietal network, and default mode network. STUDY RESULTS: DCM showed that the decreased self-inhibitory connection of LIN was the common aberrant connection pattern across psychiatry disorders. Furthermore, increased causal connections from LIN to multiple networks, aberrant self-inhibitory connections of DAN and SMN, and increased self-inhibitory connection of SAN were disorder-specific patterns for SCZ, MDD, and BD, respectively. CONCLUSIONS: DCM revealed that LIN was the core abnormal network common to psychiatric disorders. Furthermore, DCM showed disorder-specific abnormal patterns of causal connections across the 7 networks. Our findings suggested that aberrant dynamics among the large-scale networks could be a key biomarker for these transdiagnostic psychiatric disorders.

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

  Go Okada, Toshinori Yoshioka, Ayumu Yamashita, Eri Itai, Satoshi Yokoyama, Toshiharu Kamishikiryo, Hotaka Shinzato, Yoshikazu Masuda, Yuki Mitsuyama, Shigeyuki Kan, Akiko Kurata, Masahiro Takamura, Atsuo Yoshino, Akio Mantani, Osamu Yamamoto, Norio Yokota, Tatsuji Tamura, Hiroaki Jitsuiki, Mitsuo Kawato, Okito Yamashita, Yuki Sakai, Yasumasa Okamoto

  Journal of affective disorders     2023.01 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

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  BACKGROUND: Recently, we developed a generalizable brain network marker for the diagnosis of major depressive disorder (MDD) across multiple imaging sites using resting-state functional magnetic resonance imaging. Here, we applied this brain network marker to newly acquired data to verify its test-retest reliability and anterograde generalization performance for new patients. METHODS: We tested the sensitivity and specificity of our brain network marker of MDD using data acquired from 43 new patients with MDD as well as new data from 33 healthy controls (HCs) who participated in our previous study. To examine the test-retest reliability of our brain network marker, we evaluated the intraclass correlation coefficients (ICCs) between the brain network marker-based classifier's output (probability of MDD) in two sets of HC data obtained at an interval of approximately 1 year. RESULTS: Test-retest correlation between the two sets of the classifier's output (probability of MDD) from HCs exhibited moderate reliability with an ICC of 0.45 (95 % confidence interval,0.13-0.68). The classifier distinguished patients with MDD and HCs with an accuracy of 69.7 % (sensitivity, 72.1 %; specificity, 66.7 %). LIMITATIONS: The data of patients with MDD in this study were cross-sectional, and the clinical significance of the marker, such as whether it is a state or trait marker of MDD and its association with treatment responsiveness, remains unclear. CONCLUSIONS: The results of this study reaffirmed the test-retest reliability and generalization performance of our brain network marker for the diagnosis of MDD.

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• Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol.

  Go Okada, Yuki Sakai, Maki Shibakawa, Toshinori Yoshioka, Eri Itai, Hotaka Shinzato, Osamu Yamamoto, Kenichi Kurata, Tatsuji Tamura, Hiroaki Jitsuiki, Hidehisa Yamashita, Akio Mantani, Norio Yokota, Mitsuo Kawato, Yasumasa Okamoto

  BMC psychiatry   23 ( 1 ) 63 - 63   2023.01 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

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  BACKGROUND: Although many studies have reported the biological basis of major depressive disorder (MDD), none have been put into practical use. Recently, we developed a generalizable brain network marker for MDD diagnoses (diagnostic marker) across multiple imaging sites using resting-state functional magnetic resonance imaging (rs-fMRI). We have planned this clinical trial to establish evidence for the practical applicability of this diagnostic marker as a medical device. In addition, we have developed generalizable brain network markers for MDD stratification (stratification markers), and the verification of these brain network markers is a secondary endpoint of this study. METHODS: This is a non-randomized, open-label study involving patients with MDD and healthy controls (HCs). We will prospectively acquire rs-fMRI data from 50 patients with MDD and 50 HCs and anterogradely verify whether our diagnostic marker can distinguish between patients with MDD and HCs. Furthermore, we will longitudinally obtain rs-fMRI and clinical data at baseline and 6 weeks later in 80 patients with MDD treated with escitalopram and verify whether it is possible to prospectively distinguish MDD subtypes that are expected to be effectively responsive to escitalopram using our stratification markers. DISCUSSION: In this study, we will confirm that sufficient accuracy of the diagnostic marker could be reproduced for data from a prospective clinical study. Using longitudinally obtained data, we will also examine whether the "brain network marker for MDD diagnosis" reflects treatment effects in patients with MDD and whether treatment effects can be predicted by "brain network markers for MDD stratification". Data collected in this study will be extremely important for the clinical application of the brain network markers for MDD diagnosis and stratification. TRIAL REGISTRATION: Japan Registry of Clinical Trials ( jRCTs062220063 ). Registered 12/10/2022.

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Other Papers 【 display / non-display 】

Other Papers 【 display / non-display 】

• Can functional brain imaging techniques be used to diagnose psychiatric disorders?

  新里輔鷹, 岡田剛, 岡本泰昌

  日本生物学的精神医学会(Web)   44th   2022

   

  J-GLOBAL

• 統合失調症認知機能簡易評価尺度日本語版(BACS-J)を用いた,アルコール依存症患者の認知機能の評価

  栗原 雄大, 前上里 泰史, 新城 架乃, 石橋 孝勇, 新里 輔鷹, 甲田 宗良, 中井 美紀, 大鶴 卓, 近藤 毅

  精神神経学雑誌 ( (公社)日本精神神経学会 )  ( 2019特別号 ) S750 - S750   2019.06

   

• 抑うつ性混合状態と自閉スペクトラム症との関連

  新里 輔鷹, 栗原 雄大, 石橋 孝勇, 甲田 宗良, 中村 明文, 近藤 毅

  精神神経学雑誌 ( (公社)日本精神神経学会 )  ( 2019特別号 ) S594 - S594   2019.06

   

• 抑うつ性混合状態のカテゴリカル診断と自記式評価票(DMX-12)との関連

  新里 輔鷹, 栗原 雄大, 石橋 孝勇, 榎木 宏之, 甲田 宗良, 中村 明文, 近藤 毅

  精神神経学雑誌 ( (公社)日本精神神経学会 )  ( 2018特別号 ) S547 - S547   2018.06

   

• クロザピン治療中にけいれん発作が出現した治療抵抗性統合失調症23例の報告

  木田 直也, 大鶴 卓, 村上 優, 新里 輔鷹, 久保 彩子, 高江洲 慶, 福治 康秀

  精神神経学雑誌 ( (公社)日本精神神経学会 )  ( 2018特別号 ) S343 - S343   2018.06

   

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Grant-in-Aid for Scientific Research 【 display / non-display 】

Grant-in-Aid for Scientific Research 【 display / non-display 】

• Quantification and biological backgrounds of depressive mixed state

  Grant-in-Aid for Scientific Research(C)

  Project Year: 2017.04  -  2021.03 

  Direct: 3,600,000 (YEN)  Overheads: 4,680,000 (YEN)  Total: 1,080,000 (YEN)

• Quantification and biological backgrounds of depressive mixed state

  Grant-in-Aid for Scientific Research(C)

  Project Year: 2017.04  -  2021.03 

  Direct: 3,600,000 (YEN)  Overheads: 4,680,000 (YEN)  Total: 1,080,000 (YEN)