Search

Your search keyword '"Yasuda, Yuka"' showing total 482 results
Start Over Author "Yasuda, Yuka" Publication Year Range Last 10 years
482 results on '"Yasuda, Yuka"'

1. Molecular diagnosis of 405 individuals with autism spectrum disorder

Author

Miyake, Noriko, Tsurusaki, Yoshinori, Fukai, Ryoko, Kushima, Itaru, Okamoto, Nobuhiko, Ohashi, Kei, Nakamura, Kazuhiko, Hashimoto, Ryota, Hiraki, Yoko, Son, Shuraku, Kato, Mitsuhiro, Sakai, Yasunari, Osaka, Hitoshi, Deguchi, Kimiko, Matsuishi, Toyojiro, Takeshita, Saoko, Fattal-Valevski, Aviva, Ekhilevitch, Nina, Tohyama, Jun, Yap, Patrick, Keng, Wee Teik, Kobayashi, Hiroshi, Takubo, Keiyo, Okada, Takashi, Saitoh, Shinji, Yasuda, Yuka, Murai, Toshiya, Nakamura, Kazuyuki, Ohga, Shouichi, Matsumoto, Ayumi, Inoue, Ken, Saikusa, Tomoko, Hershkovitz, Tova, Kobayashi, Yu, Morikawa, Mako, Ito, Aiko, Hara, Toshiro, Uno, Yota, Seiwa, Chizuru, Ishizuka, Kanako, Shirahata, Emi, Fujita, Atsushi, Koshimizu, Eriko, Miyatake, Satoko, Takata, Atsushi, Mizuguchi, Takeshi, Ozaki, Norio, and Matsumoto, Naomichi

Published
2024
Full Text
View/download PDF

3. Subcortical volumetric alterations in four major psychiatric disorders: a mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification.

Author

Okada, Naohiro, Fukunaga, Masaki, Miura, Kenichiro, Nemoto, Kiyotaka, Matsumoto, Junya, Hashimoto, Naoki, Kiyota, Masahiro, Morita, Kentaro, Koshiyama, Daisuke, Ohi, Kazutaka, Takahashi, Tsutomu, Koeda, Michihiko, Yamamori, Hidenaga, Fujimoto, Michiko, Yasuda, Yuka, Hasegawa, Naomi, Narita, Hisashi, Yokoyama, Satoshi, Mishima, Ryo, Kawashima, Takahiko, Kobayashi, Yuko, Sasabayashi, Daiki, Harada, Kenichiro, Yamamoto, Maeri, Hirano, Yoji, Itahashi, Takashi, Nakataki, Masahito, Hashimoto, Ryu-Ichiro, Tha, Khin, Koike, Shinsuke, Matsubara, Toshio, Okada, Go, Jahanshad, Neda, Yoshimura, Reiji, Abe, Osamu, Onitsuka, Toshiaki, Watanabe, Yoshiyuki, Matsuo, Koji, Yamasue, Hidenori, Okamoto, Yasumasa, Suzuki, Michio, Turner, Jessica, Thompson, Paul, Ozaki, Norio, Kasai, Kiyoto, Hashimoto, Ryota, and Van Erp, Theodorus

Subjects
Humans, Schizophrenia, Depressive Disorder, Major, Bipolar Disorder, Female, Male, Magnetic Resonance Imaging, Adult, Neuroimaging, Brain, Autism Spectrum Disorder, Middle Aged, Mental Disorders, Organ Size
Abstract

Differential diagnosis is sometimes difficult in practical psychiatric settings, in terms of using the current diagnostic system based on presenting symptoms and signs. The creation of a novel diagnostic system using objective biomarkers is expected to take place. Neuroimaging studies and others reported that subcortical brain structures are the hubs for various psycho-behavioral functions, while there are so far no neuroimaging data-driven clinical criteria overcoming limitations of the current diagnostic system, which would reflect cognitive/social functioning. Prior to the main analysis, we conducted a large-scale multisite study of subcortical volumetric and lateralization alterations in schizophrenia, bipolar disorder, major depressive disorder, and autism spectrum disorder using T1-weighted images of 5604 subjects (3078 controls and 2526 patients). We demonstrated larger lateral ventricles volume in schizophrenia, bipolar disorder, and major depressive disorder, smaller hippocampus volume in schizophrenia and bipolar disorder, and schizophrenia-specific smaller amygdala, thalamus, and accumbens volumes and larger caudate, putamen, and pallidum volumes. In addition, we observed a leftward alteration of lateralization for pallidum volume specifically in schizophrenia. Moreover, as our main objective, we clustered the 5,604 subjects based on subcortical volumes, and explored whether data-driven clustering results can explain cognitive/social functioning in the subcohorts. We showed a four-biotype classification, namely extremely (Brain Biotype [BB] 1) and moderately smaller limbic regions (BB2), larger basal ganglia (BB3), and normal volumes (BB4), being associated with cognitive/social functioning. Specifically, BB1 and BB2-3 were associated with severe and mild cognitive/social impairment, respectively, while BB4 was characterized by normal cognitive/social functioning. Our results may lead to the future creation of novel biological data-driven psychiatric diagnostic criteria, which may be expected to be useful for prediction or therapeutic selection.

Published
2023

4. Cerebral cortical structural alteration patterns across four major psychiatric disorders in 5549 individuals.

Author

Matsumoto, Junya, Fukunaga, Masaki, Miura, Kenichiro, Nemoto, Kiyotaka, Okada, Naohiro, Hashimoto, Naoki, Morita, Kentaro, Koshiyama, Daisuke, Ohi, Kazutaka, Takahashi, Tsutomu, Koeda, Michihiko, Yamamori, Hidenaga, Fujimoto, Michiko, Yasuda, Yuka, Ito, Satsuki, Yamazaki, Ryuichi, Hasegawa, Naomi, Narita, Hisashi, Yokoyama, Satoshi, Mishima, Ryo, Miyata, Jun, Kobayashi, Yuko, Sasabayashi, Daiki, Harada, Kenichiro, Yamamoto, Maeri, Hirano, Yoji, Itahashi, Takashi, Nakataki, Masahito, Hashimoto, Ryu-Ichiro, Tha, Khin, Koike, Shinsuke, Matsubara, Toshio, Okada, Go, Yoshimura, Reiji, Abe, Osamu, Turner, Jessica, Jahanshad, Neda, Thompson, Paul, Onitsuka, Toshiaki, Watanabe, Yoshiyuki, Matsuo, Koji, Yamasue, Hidenori, Okamoto, Yasumasa, Suzuki, Michio, Ozaki, Norio, Kasai, Kiyoto, Hashimoto, Ryota, and Van Erp, Theodorus

Subjects
Humans, Depressive Disorder, Major, Autism Spectrum Disorder, Bipolar Disorder, Mental Disorders, Cerebral Cortex, Magnetic Resonance Imaging
Abstract

According to the operational diagnostic criteria, psychiatric disorders such as schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), and autism spectrum disorder (ASD) are classified based on symptoms. While its cluster of symptoms defines each of these psychiatric disorders, there is also an overlap in symptoms between the disorders. We hypothesized that there are also similarities and differences in cortical structural neuroimaging features among these psychiatric disorders. T1-weighted magnetic resonance imaging scans were performed for 5,549 subjects recruited from 14 sites. Effect sizes were determined using a linear regression model within each protocol, and these effect sizes were meta-analyzed. The similarity of the differences in cortical thickness and surface area of each disorder group was calculated using cosine similarity, which was calculated from the effect sizes of each cortical regions. The thinnest cortex was found in SZ, followed by BD and MDD. The cosine similarity values between disorders were 0.943 for SZ and BD, 0.959 for SZ and MDD, and 0.943 for BD and MDD, which indicated that a common pattern of cortical thickness alterations was found among SZ, BD, and MDD. Additionally, a generally smaller cortical surface area was found in SZ and MDD than in BD, and the effect was larger in SZ. The cosine similarity values between disorders were 0.945 for SZ and MDD, 0.867 for SZ and ASD, and 0.811 for MDD and ASD, which indicated a common pattern of cortical surface area alterations among SZ, MDD, and ASD. Patterns of alterations in cortical thickness and surface area were revealed in the four major psychiatric disorders. To our knowledge, this is the first report of a cross-disorder analysis conducted on four major psychiatric disorders. Cross-disorder brain imaging research can help to advance our understanding of the pathogenesis of psychiatric disorders and common symptoms.

Published
2023

7. White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals

Author

Koshiyama, Daisuke, Fukunaga, Masaki, Okada, Naohiro, Morita, Kentaro, Nemoto, Kiyotaka, Usui, Kaori, Yamamori, Hidenaga, Yasuda, Yuka, Fujimoto, Michiko, Kudo, Noriko, Azechi, Hirotsugu, Watanabe, Yoshiyuki, Hashimoto, Naoki, Narita, Hisashi, Kusumi, Ichiro, Ohi, Kazutaka, Shimada, Takamitsu, Kataoka, Yuzuru, Yamamoto, Maeri, Ozaki, Norio, Okada, Go, Okamoto, Yasumasa, Harada, Kenichiro, Matsuo, Koji, Yamasue, Hidenori, Abe, Osamu, Hashimoto, Ryuichiro, Takahashi, Tsutomu, Hori, Tomoki, Nakataki, Masahito, Onitsuka, Toshiaki, Holleran, Laurena, Jahanshad, Neda, van Erp, Theo GM, Turner, Jessica, Donohoe, Gary, Thompson, Paul M, Kasai, Kiyoto, and Hashimoto, Ryota

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Schizophrenia, Neurosciences, Autism, Serious Mental Illness, Depression, Intellectual and Developmental Disabilities (IDD), Mental Health, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Mental health, Adult, Autism Spectrum Disorder, Bipolar Disorder, Brain, Depressive Disorder, Major, Diffusion Tensor Imaging, Female, Humans, Male, Mental Disorders, Middle Aged, White Matter, COCORO, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Identifying both the commonalities and differences in brain structures among psychiatric disorders is important for understanding the pathophysiology. Recently, the ENIGMA-Schizophrenia DTI Working Group performed a large-scale meta-analysis and reported widespread white matter microstructural alterations in schizophrenia; however, no similar cross-disorder study has been carried out to date. Here, we conducted mega-analyses comparing white matter microstructural differences between healthy comparison subjects (HCS; N = 1506) and patients with schizophrenia (N = 696), bipolar disorder (N = 211), autism spectrum disorder (N = 126), or major depressive disorder (N = 398; total N = 2937 from 12 sites). In comparison with HCS, we found that schizophrenia, bipolar disorder, and autism spectrum disorder share similar white matter microstructural differences in the body of the corpus callosum; schizophrenia and bipolar disorder featured comparable changes in the limbic system, such as the fornix and cingulum. By comparison, alterations in tracts connecting neocortical areas, such as the uncinate fasciculus, were observed only in schizophrenia. No significant difference was found in major depressive disorder. In a direct comparison between schizophrenia and bipolar disorder, there were no significant differences. Significant differences between schizophrenia/bipolar disorder and major depressive disorder were found in the limbic system, which were similar to the differences in schizophrenia and bipolar disorder relative to HCS. While schizophrenia and bipolar disorder may have similar pathological characteristics, the biological characteristics of major depressive disorder may be close to those of HCS. Our findings provide insights into nosology and encourage further investigations of shared and unique pathophysiology of psychiatric disorders.

Published
2020

14. Hypnotic medication use among inpatients with schizophrenia and major depressive disorder: results of a nationwide study

Author

Furihata, Ryuji, Otsuki, Rei, Hasegawa, Naomi, Tsuboi, Takashi, Numata, Shusuke, Yasui-Furukori, Norio, Kashiwagi, Hiroko, Hori, Hikaru, Ochi, Shinichiro, Muraoka, Hiroyuki, Onitsuka, Toshiaki, Komatsu, Hiroshi, Takeshima, Masahiro, Hishimoto, Akitoyo, Nagasawa, Tatsuya, Takaesu, Yoshikazu, Nakamura, Toshinori, Asami, Takeshi, Miura, Kenichiro, Matsumoto, Junya, Ohi, Kazutaka, Yasuda, Yuka, Iida, Hitoshi, Ogasawara, Kazuyoshi, Hashimoto, Naoki, Ichihashi, Kayo, Yamada, Hisashi, Watanabe, Koichiro, Inada, Ken, and Hashimoto, Ryota

Published
2022
Full Text
View/download PDF

15. The characteristics of discharge prescriptions including pro re nata psychotropic medications for patients with schizophrenia and major depressive disorder from the survey of the “Effectiveness of guidelines for dissemination and education in psychiatric treatment (EGUIDE)” project

Author

Kyou, Yoshitaka, Yasui-Furukori, Norio, Hasegawa, Naomi, Ide, Kenta, Ichihashi, Kayo, Hashimoto, Naoki, Hori, Hikaru, Shimizu, Yoshihito, Imamura, Yayoi, Muraoka, Hiroyuki, Iida, Hitoshi, Ohi, Kazutaka, Yasuda, Yuka, Ogasawara, Kazuyoshi, Numata, Shusuke, Iga, Jun-ichi, Tsuboi, Takashi, Ochi, Shinichiro, Kodaka, Fumitoshi, Furihata, Ryuji, Onitsuka, Toshiaki, Makinodan, Manabu, Komatsu, Hiroshi, Takeshima, Masahiro, Kubota, Chika, Hishimoto, Akitoyo, Atake, Kiyokazu, Yamagata, Hirotaka, Kido, Mikio, Nagasawa, Tatsuya, Usami, Masahide, Kishimoto, Taishiro, Kikuchi, Saya, Matsumoto, Junya, Miura, Kenichiro, Yamada, Hisashi, Watanabe, Koichiro, Inada, Ken, and Hahimoto, Ryota

Published
2022
Full Text
View/download PDF

18. Development of an Organic Emitter Exhibiting Reverse Intersystem Crossing Faster than Intersystem Crossing.

Author

Okumura, Ryosuke, Tanaka, Hiroyuki, Shizu, Katsuyuki, Fukushima, Shohei, Yasuda, Yuka, and Kaji, Hironori

Subjects
LIGHT emitting diodes, DELAYED fluorescence, REDUCED instruction set computers, FLUORESCENCE spectroscopy, EXCITED states, EXCITON theory
Abstract

In thermally activated delayed fluorescence (TADF)‐based organic light‐emitting diodes (OLEDs), acceleration of reverse intersystem crossing (RISC) and suppression of intersystem crossing (ISC) are demanded to shorten a lifetime of triplet excitons. As a system realizing RISC faster than ISC, inverted singlet‐triplet excited states (iST) with a negative energy difference (ΔEST) between the lowest excited singlet and the lowest triplet states have been gathering much attention recently. Here, we have focused on an asymmetric hexa‐azaphenalene (A6AP) core to obtain a new insight into iST. Based on A6AP, we have newly designed A6AP‐Cz with the calculated ΔEST of −44 meV. The experimental studies of a synthesized A6AP‐Cz revealed that the lifetime of delayed fluorescence (τDF) was only 54 ns, which was the shortest among all organic materials. The rate constant of RISC (kRISC=1.9×107 s−1) was greater than that of ISC (kISC=1.0×107 s−1). The negative ΔEST of A6AP‐Cz was experimentally confirmed from 1) the kRISC and kISC (−45 meV) and 2) the temperature‐dependent τDF. 3) The onsets of fluorescence and phosphorescence spectra at 77 K also supported the evidence of negative ΔEST (−73 meV). This study demonstrated the potential of A6AP as an iST core for the first time. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

21. Longitudinal reduction in brain volume in patients with schizophrenia and its association with cognitive function

Author

Yamazaki, Ryuichi, primary, Matsumoto, Junya, additional, Ito, Satsuki, additional, Nemoto, Kiyotaka, additional, Fukunaga, Masaki, additional, Hashimoto, Naoki, additional, Kodaka, Fumitoshi, additional, Takano, Harumasa, additional, Hasegawa, Naomi, additional, Yasuda, Yuka, additional, Fujimoto, Michiko, additional, Yamamori, Hidenaga, additional, Watanabe, Yoshiyuki, additional, Miura, Kenichiro, additional, and Hashimoto, Ryota, additional

Published
2024
Full Text
View/download PDF

22. Tablet-Based Cognitive and Eye Movement Measures as Accessible Tools in Schizophrenia Assessment: A Multi-Site Case-Control Study (Preprint)

Author

Morita, Kentaro, primary, Miura, Kenichiro, additional, Toyomaki, Atsuhito, additional, Makinodan, Manabu, additional, Ohi, Kazutaka, additional, Hashimoto, Naoki, additional, Yasuda, Yuka, additional, Mitsudo, Takako, additional, Higuchi, Fumihiro, additional, Numata, Shusuke, additional, Yamada, Akiko, additional, Aoki, Yohei, additional, Honda, Hiromitsu, additional, Mizui, Ryo, additional, Honda, Masato, additional, Fujikane, Daisuke, additional, Matsumoto, Junya, additional, Hasegawa, Naomi, additional, Ito, Satsuki, additional, Akiyama, Hisashi, additional, Onitsuka, Toshiaki, additional, Satomura, Yoshihiro, additional, Kasai, Kiyoto, additional, and Hashimoto, Ryota, additional

Published
2024
Full Text
View/download PDF

23. Robot-assisted radical prostatectomy using the novel hinotoriTM surgical robot system: initial experience and operation learning curve at a single institution

Author

Nakayama, Akinori, primary, Izumi, Keita, additional, Ikezoe, Erika, additional, Inoue, Minoru, additional, Tsujioka, Hiroki, additional, Nirazuka, Asumi, additional, Hasegawa, Kintaro, additional, Osaka, Akiyoshi, additional, Yasuda, Yuka, additional, Fukuda, Yuichi, additional, Inoue, Yasuyuki, additional, Iwahata, Toshiyuki, additional, Setoguchi, Kiyoshi, additional, and Saito, Kazutaka, additional

Published
2024
Full Text
View/download PDF

25. Multiple alterations in glutamatergic transmission and dopamine D2 receptor splicing in induced pluripotent stem cell-derived neurons from patients with familial schizophrenia

Author

Yamamoto, Kana, Kuriu, Toshihiko, Matsumura, Kensuke, Nagayasu, Kazuki, Tsurusaki, Yoshinori, Miyake, Noriko, Yamamori, Hidenaga, Yasuda, Yuka, Fujimoto, Michiko, Fujiwara, Mikiya, Baba, Masayuki, Kitagawa, Kohei, Takemoto, Tomoya, Gotoda-Nishimura, Nanaka, Takada, Tomohiro, Seiriki, Kaoru, Hayata-Takano, Atsuko, Kasai, Atsushi, Ago, Yukio, Kida, Satoshi, Takuma, Kazuhiro, Ono, Fumihito, Matsumoto, Naomichi, Hashimoto, Ryota, Hashimoto, Hitoshi, and Nakazawa, Takanobu

Published
2021
Full Text
View/download PDF

31. Effect of education regarding treatment guidelines for schizophrenia and depression on the treatment behavior of psychiatrists: A multicenter study

Author

Hasegawa, Naomi, primary, Yasuda, Yuka, additional, Yasui‐Furukori, Norio, additional, Yamada, Hisashi, additional, Hori, Hikaru, additional, Ichihashi, Kayo, additional, Takaesu, Yoshikazu, additional, Iida, Hitoshi, additional, Muraoka, Hiroyuki, additional, Kodaka, Fumitoshi, additional, Iga, Jun‐ichi, additional, Hashimoto, Naoki, additional, Ogasawara, Kazuyoshi, additional, Ohi, Kazutaka, additional, Fukumoto, Kentaro, additional, Numata, Shusuke, additional, Tsuboi, Takashi, additional, Usami, Masahide, additional, Hishimoto, Akitoyo, additional, Furihata, Ryuji, additional, Kishimoto, Taishiro, additional, Nakamura, Toshinori, additional, Katsumoto, Eiichi, additional, Ochi, Shinichiro, additional, Nagasawa, Tatsuya, additional, Atake, Kiyokazu, additional, Kubota, Chika, additional, Komatsu, Hiroshi, additional, Yamagata, Hirotaka, additional, Ide, Kenta, additional, Takeshima, Masahiro, additional, Kido, Mikio, additional, Kikuchi, Saya, additional, Okada, Tsuyoshi, additional, Matsumoto, Junya, additional, Miura, Kenichiro, additional, Shimazu, Taichi, additional, Inada, Ken, additional, Watanabe, Koichiro, additional, and Hashimoto, Ryota, additional

Published
2023
Full Text
View/download PDF

32. Biallelic Mutations in KDSR Disrupt Ceramide Synthesis and Result in a Spectrum of Keratinization Disorders Associated with Thrombocytopenia

Author

Takeichi, Takuya, Torrelo, Antonio, Lee, John Y.W., Ohno, Yusuke, Lozano, María Luisa, Kihara, Akio, Liu, Lu, Yasuda, Yuka, Ishikawa, Junko, Murase, Takatoshi, Rodrigo, Ana Belén, Fernández-Crehuet, Pablo, Toi, Yoichiro, Mellerio, Jemima, Rivera, José, Vicente, Vicente, Kelsell, David P., Nishimura, Yutaka, Okuno, Yusuke, Kojima, Daiei, Ogawa, Yasushi, Sugiura, Kazumitsu, Simpson, Michael A., McLean, W.H. Irwin, Akiyama, Masashi, and McGrath, John A.

Published
2017
Full Text
View/download PDF

33. Differential gene expression profiles in neurons generated from lymphoblastoid B-cell line-derived iPS cells from monozygotic twin cases with treatment-resistant schizophrenia and discordant responses to clozapine

Author

Nakazawa, Takanobu, Kikuchi, Masataka, Ishikawa, Mitsuru, Yamamori, Hidenaga, Nagayasu, Kazuki, Matsumoto, Takuya, Fujimoto, Michiko, Yasuda, Yuka, Fujiwara, Mikiya, Okada, Shota, Matsumura, Kensuke, Kasai, Atsushi, Hayata-Takano, Atsuko, Shintani, Norihito, Numata, Shusuke, Takuma, Kazuhiro, Akamatsu, Wado, Okano, Hideyuki, Nakaya, Akihiro, Hashimoto, Hitoshi, and Hashimoto, Ryota

Published
2017
Full Text
View/download PDF

36. Pathogenic POGZ mutation causes impaired cortical development and reversible autism-like phenotypes

Author

Matsumura, Kensuke, Seiriki, Kaoru, Okada, Shota, Nagase, Masashi, Ayabe, Shinya, Yamada, Ikuko, Furuse, Tamio, Shibuya, Hirotoshi, Yasuda, Yuka, Yamamori, Hidenaga, Fujimoto, Michiko, Nagayasu, Kazuki, Yamamoto, Kana, Kitagawa, Kohei, Miura, Hiroki, Gotoda-Nishimura, Nanaka, Igarashi, Hisato, Hayashida, Misuzu, Baba, Masayuki, Kondo, Momoka, Hasebe, Shigeru, Ueshima, Kosei, Kasai, Atsushi, Ago, Yukio, Hayata-Takano, Atsuko, Shintani, Norihito, Iguchi, Tokuichi, Sato, Makoto, Yamaguchi, Shun, Tamura, Masaru, Wakana, Shigeharu, Yoshiki, Atsushi, Watabe, Ayako M., Okano, Hideyuki, Takuma, Kazuhiro, Hashimoto, Ryota, Hashimoto, Hitoshi, and Nakazawa, Takanobu

Published
2020
Full Text
View/download PDF

37. Association between copy number variations in parkin (PRKN) and schizophrenia and autism spectrum disorder: A case–control study.

Author

Lo, Tzuyao, Kushima, Itaru, Kimura, Hiroki, Aleksic, Branko, Okada, Takashi, Kato, Hidekazu, Inada, Toshiya, Nawa, Yoshihiro, Torii, Youta, Yamamoto, Maeri, Kimura, Ryo, Funabiki, Yasuko, Kosaka, Hirotaka, Numata, Shusuke, Kasai, Kiyoto, Sasaki, Tsukasa, Yokoyama, Shigeru, Munesue, Toshio, Hashimoto, Ryota, and Yasuda, Yuka

Subjects
AUTISM spectrum disorders, SCHIZOPHRENIA, PARKIN (Protein), COMPARATIVE genomic hybridization, PARKINSON'S disease, OLANZAPINE
Abstract

Aim: The present study aimed to examine the association between copy number variations (CNVs) in parkin (PRKN) and schizophrenia (SCZ) and autism spectrum disorder (ASD) in a large case–control sample. Method: Array comparative genomic hybridization was performed on 3111 cases with SCZ, 1236 cases with ASD, and 2713 controls. We systematically prioritized likely pathogenic CNVs (LP‐CNVs) in PRKN and examined their association with SCZ and ASD. Results: In total, 3014 SCZ cases (96.9%), 1205 ASD cases (97.5%), and 2671 controls (98.5%) passed quality control. We found that monoallelic carriers of LP‐CNVs in PRKN were common (70/6890, 1.02%) and were not at higher risk of SCZ (p = 0.29) or ASD (p = 0.72). We observed that the distribution pattern of LP‐CNVs in the Japanese population was consistent with those in other populations. We also identified a patient diagnosed with SCZ and early‐onset Parkinson's disease carrying biallelic pathogenic CNVs in PRKN. The absence of Parkinson's symptoms in 10 other monoallelic carriers of the same pathogenic CNV further reflects the lack of effect of monoallelic pathogenic variants in PRKN in the absence of a second hit. Conclusion: The present findings suggest that monoallelic CNVs in PRKN do not confer a significant risk for SCZ or ASD. However, further studies to investigate the association between biallelic CNVs in PRKN and SCZ and ASD are warranted. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

38. Tablet-Based Cognitive and Eye Movement Measures as Accessible Tools for Schizophrenia Assessment: Multisite Usability Study.

Author

Morita, Kentaro, Miura, Kenichiro, Toyomaki, Atsuhito, Makinodan, Manabu, Ohi, Kazutaka, Hashimoto, Naoki, Yasuda, Yuka, Mitsudo, Takako, Higuchi, Fumihiro, Numata, Shusuke, Yamada, Akiko, Aoki, Yohei, Honda, Hiromitsu, Mizui, Ryo, Honda, Masato, Fujikane, Daisuke, Matsumoto, Junya, Hasegawa, Naomi, Ito, Satsuki, and Akiyama, Hisashi

Subjects
DIAGNOSIS of schizophrenia, COGNITION disorders diagnosis, STATISTICAL correlation, PORTABLE computers, COGNITIVE testing, RESEARCH funding, RECEIVER operating characteristic curves, EYE movement measurements, LOGISTIC regression analysis, KRUSKAL-Wallis Test, PROBABILITY theory, INTERVIEWING, SCHIZOPHRENIA, DESCRIPTIVE statistics, MANN Whitney U Test, CLASSIFICATION of mental disorders, RESEARCH, NEUROPSYCHOLOGICAL tests, COMPARATIVE studies, CONFIDENCE intervals, DATA analysis software, SENSITIVITY & specificity (Statistics)
Abstract

Background: Schizophrenia is a complex mental disorder characterized by significant cognitive and neurobiological alterations. Impairments in cognitive function and eye movement have been known to be promising biomarkers for schizophrenia. However, cognitive assessment methods require specialized expertise. To date, data on simplified measurement tools for assessing both cognitive function and eye movement in patients with schizophrenia are lacking. Objective: This study aims to assess the efficacy of a novel tablet-based platform combining cognitive and eye movement measures for classifying schizophrenia. Methods: Forty-four patients with schizophrenia, 67 healthy controls, and 41 patients with other psychiatric diagnoses participated in this study from 10 sites across Japan. A free-viewing eye movement task and 2 cognitive assessment tools (Codebreaker task from the THINC-integrated tool and the CognitiveFunctionTest app) were used for conducting assessments in a 12.9-inch iPad Pro. We performed comparative group and logistic regression analyses for evaluating the diagnostic efficacy of the 3 measures of interest. Results: Cognitive and eye movement measures differed significantly between patients with schizophrenia and healthy controls (all 3 measures; P<.001). The Codebreaker task showed the highest classification effectiveness in distinguishing schizophrenia with an area under the receiver operating characteristic curve of 0.90. Combining cognitive and eye movement measures further improved accuracy with a maximum area under the receiver operating characteristic curve of 0.94. Cognitive measures were more effective in differentiating patients with schizophrenia from healthy controls, whereas eye movement measures better differentiated schizophrenia from other psychiatric conditions. Conclusions: This multisite study demonstrates the feasibility and effectiveness of a tablet-based app for assessing cognitive functioning and eye movements in patients with schizophrenia. Our results suggest the potential of tablet-based assessments of cognitive function and eye movement as simple and accessible evaluation tools, which may be useful for future clinical implementation. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

40. Relationships Between Adherence to Guideline Recommendations for Pharmacological Therapy Among Clinicians and Psychotic Symptoms in Patients With Schizophrenia

Author

Kodaka, Fumitoshi, primary, Ohi, Kazutaka, additional, Yasuda, Yuka, additional, Fujimoto, Michiko, additional, Yamamori, Hidenaga, additional, Hasegawa, Naomi, additional, Ito, Satsuki, additional, Fukumoto, Kentaro, additional, Matsumoto, Junya, additional, Miura, Kenichiro, additional, Yasui-Furukori, Norio, additional, and Hashimoto, Ryota, additional

Published
2023
Full Text
View/download PDF

46. Gaze behaviors during free viewing revealed differences in visual salience processing across four major psychiatric disorders: a mega-analysis study of 1012 individuals

Author

Miura, Kenichiro, Yoshida, Masatoshi, Morita, Kentaro, Fujimoto, Michiko, Yasuda, Yuka, Yamamori, Hidenaga, Takahashi, Junichi, Miyata, Seiko, Okazaki, Kosuke, Matsumoto, Junya, Toyomaki, Atsuto, Makinodan, Manabu, Hashimoto, Naoki, Onitsuka, Toshiaki, Kasai, Kiyoto, Ozaki, Norio, and Hashimoto, Ryota

Abstract

Aberrant salience processing has been proposed as a pathophysiological mechanism underlying psychiatric symptoms in patients with schizophrenia. The gaze trajectories of individuals with schizophrenia have been reported to be abnormal when viewing an image, suggesting anomalous visual salience as one possible pathophysiological mechanism associated with psychiatric diseases. This study was designed to determine whether visual salience is affected in individuals with schizophrenia, and whether this abnormality is unique to patients with schizophrenia. We examined the gaze behaviors of 1012 participants recruited from seven institutes (550 healthy individuals and 238, 41, 50 and 133 individuals with schizophrenia, bipolar disorder, major depressive disorder and autism spectrum disorder, respectively) when they looked at stationary images as they liked, i.e., free-viewing condition. We used an established computational model of salience maps derived from low-level visual features to measure the degree to which the gaze trajectories of individuals were guided by visual salience. The analysis revealed that the saliency at the gaze of individuals with schizophrenia were higher than healthy individuals, suggesting that patients’ gazes were guided more by low-level image salience. Among the low-level image features, orientation salience was most affected. Furthermore, a general linear model analysis of the data for the four psychiatric disorders revealed a significant effect of disease. This abnormal salience processing depended on the disease and was strongest in patients with schizophrenia, followed by patients with bipolar disorder, major depressive disorder, and autism spectrum disorder, suggesting a link between abnormalities in salience processing and strength/frequency for psychosis of these disorders.

Published
2024
Full Text
View/download PDF

48. Molecular diagnosis of 405 individuals with autism spectrum disorder

Author

Miyake, Noriko, primary, Tsurusaki, Yoshinori, additional, Fukai, Ryoko, additional, Kushima, Itaru, additional, Okamoto, Nobuhiko, additional, Ohashi, Kei, additional, Nakamura, Kazuhiko, additional, Hashimoto, Ryota, additional, Hiraki, Yoko, additional, Son, Shuraku, additional, Kato, Mitsuhiro, additional, Sakai, Yasunari, additional, Osaka, Hitoshi, additional, Deguchi, Kimiko, additional, Matsuishi, Toyojiro, additional, Takeshita, Saoko, additional, Fattal-Valevski, Aviva, additional, Ekhilevitch, Nina, additional, Tohyama, Jun, additional, Yap, Patrick, additional, Keng, Wee Teik, additional, Kobayashi, Hiroshi, additional, Takubo, Keiyo, additional, Okada, Takashi, additional, Saitoh, Shinji, additional, Yasuda, Yuka, additional, Murai, Toshiya, additional, Nakamura, Kazuyuki, additional, Ohga, Shouichi, additional, Matsumoto, Ayumi, additional, Inoue, Ken, additional, Saikusa, Tomoko, additional, Hershkovitz, Tova, additional, Kobayashi, Yu, additional, Morikawa, Mako, additional, Ito, Aiko, additional, Hara, Toshiro, additional, Uno, Yota, additional, Seiwa, Chizuru, additional, Ishizuka, Kanako, additional, Shirahata, Emi, additional, Fujita, Atsushi, additional, Koshimizu, Eriko, additional, Miyatake, Satoko, additional, Takata, Atsushi, additional, Mizuguchi, Takeshi, additional, Ozaki, Norio, additional, and Matsumoto, Naomichi, additional

Published
2023
Full Text
View/download PDF

49. Subcortical volumetric alterations in four major psychiatric disorders: A mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification

Author

Hashimoto, Ryota, primary, Okada, Naohiro, additional, Fukunaga, Masaki, additional, Miura, Kenichiro, additional, Nemoto, Kiyotaka, additional, Matsumoto, Junya, additional, Hashimoto, Naoki, additional, Kiyota, Masahiro, additional, Morita, Kentaro, additional, Koshiyama, Daisuke, additional, Ohi, Kazutaka, additional, Takahashi, Tsutomu, additional, Koeda, Michihiko, additional, Yamamori, Hidenaga, additional, Fujimoto, Michiko, additional, Yasuda, Yuka, additional, Hasegawa, Naomi, additional, Narita, Hisashi, additional, Yokoyama, Satoshi, additional, Mishima, Ryo, additional, Kawashima, Takahiko, additional, Kobayashi, Yuko, additional, Sasabayashi, Daiki, additional, Harada, Kenichiro, additional, Yamamoto, Maeri, additional, Hirano, Yoji, additional, Itahashi, Takashi, additional, Nakataki, Masahito, additional, Hashimoto, Ryuichiro, additional, Tha, Khin, additional, Koike, Shinsuke, additional, Matsubara, Toshio, additional, Okada, Go, additional, Erp, Theo van, additional, Jahanshad, Neda, additional, Yoshimura, Reiji, additional, Abe, Osamu, additional, Onitsuka, Toshiaki, additional, Watanabe, Yoshiyuki, additional, Matsuo, Koji, additional, Yamasue, Hidenori, additional, Okamoto, Yasumasa, additional, Suzuki, Michio, additional, Turner, Jessica, additional, Thompson, Paul, additional, Ozaki, Norio, additional, and Kasai, Kiyoto, additional

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results