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He LT, Xu XR, Guan RR, Zhao W, Sun JQ, Sun JW, Guo XT. Sensory intelligence for extraction of abstract auditory rules from a speech sound stream in children with cochlear implants. Clin Neurophysiol 2024; 166:1-10. [PMID: 39068766 DOI: 10.1016/j.clinph.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 07/09/2024] [Accepted: 07/11/2024] [Indexed: 07/30/2024]
Abstract
OBJECTIVE Sensory intelligence in the brain helps listeners automatically extract abstract auditory rules formed by invariant acoustic features from complex speech sound streams, presumably serving as the neural basis for speech comprehension. However, whether this intelligence is deficient in children with cochlear implants (CIs) remains unclear. METHODS Mandarin Chinese monosyllables shared a flat lexical tone contour to form an abstract auditory rule but differed in other acoustic features to construct a complex speech sound stream. The abstract rule was occasionally violated by monosyllables with a rising or falling lexical tone. RESULTS In normal hearing (NH) children, the abstract auditory rule could be extracted, as revealed by a mismatch negativity (MMN) and a late discriminative negativity (LDN). However, the MMN and LDN were only evoked in CI children with good hearing and speech performance. NH children with a higher speech perception or spatial hearing score had a greater MMN. The LDN was attenuated with increasing age in NH children. CONCLUSIONS The sensory intelligence for extraction of auditory abstract rules, associated with speech perception, is deficient in CI children. This intelligence may gradually develop during childhood and adolescence. SIGNIFICANCE Deficient sensory intelligence in CI children may aid in understanding poor speech comprehension in complex environments.
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Affiliation(s)
- Liu-Ting He
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Xin-Ran Xu
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Rui-Rui Guan
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Wan Zhao
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Jia-Qiang Sun
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
| | - Jing-Wu Sun
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
| | - Xiao-Tao Guo
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
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2
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Kim J, Jung H, Yoon M. Relationship between plasma dopamine concentration and temperament in horses. Domest Anim Endocrinol 2023; 83:106788. [PMID: 37087888 DOI: 10.1016/j.domaniend.2023.106788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/19/2023] [Accepted: 03/20/2023] [Indexed: 04/07/2023]
Abstract
Dopamine (DA) is a neurotransmitter associated with animal behaviors. Along with other neurotransmitters such as oxytocin (OXT) and serotonin (5-HT), DA is also involved in determining the temperament of animals. However, the involvement of DA in horse temperament has not been well elucidated. Therefore, in this study, we aimed to determine the correlation between plasma DA concentration and OXT and 5-HT concentrations and behavioral temperament (eg, docility and friendliness, fearfulness, dominance, and trainability) of horses. Blood samples were collected from 31 horses and the concentrations of DA, OXT, and 5-HT were measured using enzyme-linked immunosorbent assay. The temperament of horses was assessed and scored by 3 researchers. The correlation between the plasma concentration of DA and OXT or 5-HT was statistically analyzed using SPSS software and linear regression analysis was performed to determine the association between DA concentration and OXT and 5-HT concentrations. Meanwhile, the DA concentration associated with each type of temperament was analyzed via one-way analysis of variance with LSD post hoc analysis as well as Student's t-test (for trainability). Plasma DA concentration was not found to be correlated with either OXT or 5-HT concentrations. Furthermore, we found no correlation between plasma DA concentration and dominance and trainability. However, our results suggest the possibility of predicting the degree of fearfulness of horses using plasma DA concentrations. We conclude that plasma DA concentration has a potentiality to be used as a biomarker to predict the fearfulness of horses.
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Affiliation(s)
- J Kim
- Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, 37224, Republic of Korea
| | - H Jung
- Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, 37224, Republic of Korea
| | - M Yoon
- Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, 37224, Republic of Korea; Department of Horse, Companion and Wild Animal Science, Kyungpook National University, Sangju, 37224, Republic of Korea; Research Center for Horse Industry, Kyungpook National University, Sangju, 37224, Republic of Korea.
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3
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Takahashi Y, Fujii S, Osakabe Y, Hoshino H, Konno R, Kakamu T, Fukushima T, Matsumoto T, Yoshida K, Aoki S, Kanno K, Oi N, Ueda Y, Suzutani K, Sato A, Mori Y, Wada T, Shiga T, Itagaki S, Miura I, Yabe H. Impaired mismatch negativity reflects the inability to perceive beat interval in patients with schizophrenia. Schizophr Res 2023; 254:40-41. [PMID: 36796272 DOI: 10.1016/j.schres.2023.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 01/11/2023] [Accepted: 02/05/2023] [Indexed: 02/16/2023]
Affiliation(s)
- Yuichi Takahashi
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan; Department of Rehabilitation Medicine, Fukushima Medical University School of Medicine, Japan.
| | - Shinya Fujii
- Faculty of Environment and Information Studies, Keio University, Endo 5322, Fujisawa, Kanagawa 252-0882, Japan
| | - Yusuke Osakabe
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Hiroshi Hoshino
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Rei Konno
- Faculty of Environment and Information Studies, Keio University, Endo 5322, Fujisawa, Kanagawa 252-0882, Japan
| | - Takeyasu Kakamu
- Department of Hygiene and Preventive Medicine, Fukushima Medical University School of Medicine, Japan
| | - Tetsuhito Fukushima
- Department of Hygiene and Preventive Medicine, Fukushima Medical University School of Medicine, Japan
| | - Takatomo Matsumoto
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Kumi Yoshida
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Shuntaro Aoki
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Kazuko Kanno
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Naoyuki Oi
- Department of Rehabilitation Medicine, Fukushima Medical University School of Medicine, Japan
| | - Yuka Ueda
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan; Fukushima Prefectural Medical Centre of Mental Health
| | - Ken Suzutani
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Aya Sato
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Yuhei Mori
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Tomohiro Wada
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Tetsuya Shiga
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Shuntaro Itagaki
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Itaru Miura
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
| | - Hirooki Yabe
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Hikarigaoka, Fukushima-shi, Fukushima 960-1101, Japan
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Hori H, Yasui-Furukori N, Hasegawa N, Iga JI, Ochi S, Ichihashi K, Furihata R, Kyo Y, Takaesu Y, Tsuboi T, Kodaka F, Onitsuka T, Okada T, Murata A, Kashiwagi H, Iida H, Hashimoto N, Ohi K, Yamada H, Ogasawara K, Yasuda Y, Muraoka H, Usami M, Numata S, Takeshima M, Yamagata H, Nagasawa T, Tagata H, Makinodan M, Kido M, Katsumoto E, Komatsu H, Matsumoto J, Kubota C, Miura K, Hishimoto A, Watanabe K, Inada K, Kawasaki H, Hashimoto R. Prescription of Anticholinergic Drugs in Patients With Schizophrenia: Analysis of Antipsychotic Prescription Patterns and Hospital Characteristics. Front Psychiatry 2022; 13:823826. [PMID: 35656353 PMCID: PMC9152135 DOI: 10.3389/fpsyt.2022.823826] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
In several clinical guidelines for schizophrenia, long-term use of anticholinergic drugs is not recommended. We investigated the characteristics of the use of anticholinergics in patients with schizophrenia by considering psychotropic prescription patterns and differences among hospitals. A cross-sectional, retrospective prescription survey at the time of discharge was conducted on 2027 patients with schizophrenia from 69 Japanese hospitals. We examined the relations among psychotropic drug prescriptions regarding anticholinergic prescription. We divided the hospitals into three groups-low rate group (LG), medium rate group (MG), and high rate group (HG)-according to their anticholinergic prescription rates, and analyzed the relationship between anticholinergic prescription rates and antipsychotic prescription. Anticholinergic drugs were prescribed to 618 patients (30.5%), and the prescription rates were significantly higher for high antipsychotic doses, antipsychotic polypharmacy, and first-generation antipsychotics (FGAs) use. The anticholinergic prescription rate varied considerably among hospitals, ranging from 0 to 66.7%, and it was significantly higher in patients with antipsychotic monotherapy, antipsychotic polypharmacy, and normal and high doses of antipsychotics in HG than in those LG and MG. The anticholinergics prescription rate in patients with second-generation antipsychotic monotherapy in HG was also significantly higher than in those LG and MG; however, the difference was no longer significant in patients with FGA monotherapy. Conclusively, in addition to high antipsychotic doses, antipsychotic polypharmacy, and FGA use, hospital characteristics influence the prescribing of anticholinergic drugs.
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Affiliation(s)
- Hikaru Hori
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Norio Yasui-Furukori
- Department of Psychiatry, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Naomi Hasegawa
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Jun-Ichi Iga
- Department of Neuropsychiatry Molecules and Function, Ehime University Graduate School of Medicine, Matsuyama, Japan
| | - Shinichiro Ochi
- Department of Neuropsychiatry Molecules and Function, Ehime University Graduate School of Medicine, Matsuyama, Japan
| | - Kayo Ichihashi
- Department of Neuropsychiatry, University of Tokyo Hospital, Tokyo, Japan
| | - Ryuji Furihata
- Agency for Student Support and Disability Resources, Kyoto University, Kyoto, Japan
| | - Yoshitaka Kyo
- Department of Psychiatry, School of Medicine, Kitasato University, Tokyo, Japan
| | - Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Takashi Tsuboi
- Department of Neuropsychiatry, Kyorin University School of Medicine, Mitaka, Japan
| | - Fumitoshi Kodaka
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Toshiaki Onitsuka
- Department of Neuroimaging Psychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tsuyoshi Okada
- Department of Psychiatry, Jichi Medical University, Tochigi, Japan
| | - Atsunobu Murata
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Hiroko Kashiwagi
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.,Department of Psychiatry, National Center of Neurology and Psychiatry Hospital, Kodaira, Japan
| | - Hitoshi Iida
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Hisashi Yamada
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.,Department of Neuropsychiatry, Hyogo College of Medicine, Nishinomiya, Japan
| | - Kazuyoshi Ogasawara
- Center for Postgraduate Clinical Training and Career Development, Nagoya University Hospital, Nagoya, Japan
| | - Yuka Yasuda
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan.,Life Grow Brilliant Mental Clinic, Medical Corporation Foster, Osaka, Japan
| | - Hiroyuki Muraoka
- Department of Psychiatry, Tokyo Women's Medical University, Tokyo, Japan
| | - Masahide Usami
- Department of Child and Adolescent Psychiatry, Kohnodai Hospital, National Center for Global Health and Medicine, Ichikawa, Japan
| | - Shusuke Numata
- Department of Psychiatry, Graduate School of Biomedical Science, Tokushima University, Tokushima, Japan
| | - Masahiro Takeshima
- Department of Neuropsychiatry, Akita University Graduate School of Medicine, Akita, Japan
| | - Hirotaka Yamagata
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University School of Medicine, Yamaguchi, Japan
| | - Tatsuya Nagasawa
- Department of Neuropsychiatry, Kanazawa Medical University, Uchinada, Japan
| | - Hiromi Tagata
- Department of Neuropsychiatry, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Manabu Makinodan
- Department of Psychiatry, Nara Medical University School of Medicine, Kashihara, Japan
| | - Mikio Kido
- Toyama City Hospital, Toyama, Japan.,Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | | | - Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Junya Matsumoto
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Chika Kubota
- Department of Psychiatry, National Center of Neurology and Psychiatry Hospital, Kodaira, Japan
| | - Kenichiro Miura
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Koichiro Watanabe
- Department of Neuropsychiatry, Kyorin University School of Medicine, Mitaka, Japan
| | - Ken Inada
- Department of Psychiatry, Tokyo Women's Medical University, Tokyo, Japan
| | - Hiroaki Kawasaki
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Ryota Hashimoto
- National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
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5
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Inaba H, Namba H, Kida S, Nawa H. The dopamine D2 agonist quinpirole impairs frontal mismatch responses to sound frequency deviations in freely moving rats. Neuropsychopharmacol Rep 2021; 41:405-415. [PMID: 34296531 PMCID: PMC8411315 DOI: 10.1002/npr2.12199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/09/2021] [Accepted: 07/10/2021] [Indexed: 12/21/2022] Open
Abstract
Aim A reduced mismatch negativity (MMN) response is a promising electrophysiological endophenotype of schizophrenia that reflects neurocognitive impairment. Dopamine dysfunction is associated with symptoms of schizophrenia. However, whether the dopamine system is involved in MMN impairment remains controversial. In this study, we investigated the effects of the dopamine D2‐like receptor agonist quinpirole on mismatch responses to sound frequency changes in an animal model. Methods Event‐related potentials were recorded from electrocorticogram electrodes placed on the auditory and frontal cortices of freely moving rats using a frequency oddball paradigm consisting of ascending and equiprobable (ie, many standards) control sequences before and after the subcutaneous administration of quinpirole. To detect mismatch responses, difference waveforms were obtained by subtracting nondeviant control waveforms from deviant waveforms. Results Here, we show the significant effects of quinpirole on frontal mismatch responses to sound frequency deviations in rats. Quinpirole delayed the frontal N18 and P30 mismatch responses and reduced the frontal N55 MMN‐like response, which resulted from the reduction in the N55 amplitude to deviant stimuli. Importantly, the magnitude of the N55 amplitude was negatively correlated with the time of the P30 latency in the difference waveforms. In contrast, quinpirole administration did not clearly affect the temporal mismatch responses recorded from the auditory cortex. Conclusion These results suggest that the disruption of dopamine D2‐like receptor signaling by quinpirole reduces frontal MMN to sound frequency deviations and that delays in early mismatch responses are involved in this MMN impairment. The subcutaneous administration of quinpirole delayed early mismatch response latencies and reduced a late MMN‐like response amplitude recorded from the frontal cortex but had no effect on those recorded from the auditory cortex. These observations suggest that increased dopamine D2‐like receptor signaling impairs MMN generation to sound frequency changes in the frontal cortex and that the neurochemical mechanisms of MMN vary according to the cortical area. As MMN is associated with cognitive function, these new findings may help develop treatment modalities for cognitive dysfunctions in schizophrenia.![]()
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Affiliation(s)
- Hiroyoshi Inaba
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan.,Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo, Japan
| | - Hisaaki Namba
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan.,Department of Physiological Sciences, School of Pharmaceutical Sciences, Wakayama Medical University, Wakayama, Japan
| | - Satoshi Kida
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Nawa
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan.,Department of Physiological Sciences, School of Pharmaceutical Sciences, Wakayama Medical University, Wakayama, Japan
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Liu Y, Song X, Liu X, Pu J, Gui S, Xu S, Tian L, Zhong X, Zhao L, Wang H, Liu L, Xu G, Xie P. Alteration of lipids and amino acids in plasma distinguish schizophrenia patients from controls: A targeted metabolomics study. Psychiatry Clin Neurosci 2021; 75:138-144. [PMID: 33421228 DOI: 10.1111/pcn.13194] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/10/2020] [Accepted: 12/22/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) is a serious psychiatric disorder. Metabolite disturbance is an important pathogenic factor in schizophrenic patients. In this study, we aim to identify plasma lipid and amino acid biomarkers for SCZ using targeted metabolomics. METHODS Plasma from 76 SCZ patients and 50 matched controls were analyzed using the LC/MS-based multiple reaction monitoring (MRM) metabolomics approach. A total of 182 targeted metabolites, including 22 amino acids and 160 lipids or lipid-related metabolites were observed. We used binary logistic regression analysis to determine whether the lipid and amino acid biomarkers could discriminate SCZ patients from controls. The area under the curve (AUC) from receiver operation characteristic (ROC) curve analysis was conducted to evaluate the diagnostic performance of the biomarkers panel. RESULTS We identified 19 significantly differentially expressed metabolites between the SCZ patients and the controls (false discovery rate < 0.05), including one amino acid and 18 lipids or lipid-related metabolites. The binary logistic regression-selected panel showed good diagnostic performance in the drug-naïve group (AUC = 0.936) and all SCZ patients (AUC = 0.948), especially in the drug-treated group (AUC = 0.963). CONCLUSIONS Plasma lipids and amino acids showed significant dysregulation in SCZ, which could effectively discriminate SCZ patients from controls. The LC/MS/MS-based approach provides reliable data for the objective diagnosis of SCZ.
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Affiliation(s)
- Yiyun Liu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Key Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Xuemian Song
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Dalian, China
| | - Juncai Pu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Key Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Siwen Gui
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University, Chongqing, China
| | - Shaohua Xu
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
| | - Lu Tian
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaogang Zhong
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Libo Zhao
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
| | - Haiyang Wang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lanxiang Liu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Dalian, China
| | - Peng Xie
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,Key Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
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7
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Mori Y, Hoshino H, Osakabe Y, Wada T, Kanno K, Shiga T, Itagaki S, Miura I, Yabe H. Omission mismatch negativity of speech sounds reveals a functionally impaired temporal window of integration in schizophrenia. Clin Neurophysiol 2021; 132:1144-1150. [PMID: 33774379 DOI: 10.1016/j.clinph.2021.01.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 11/30/2020] [Accepted: 01/08/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE We hypothesized that sensory memory associated with the temporal window of integration (TWI) would be impaired in patients with schizophrenia, an issue that had not been evaluated using omission mismatch negativity (MMN) of complex speech sounds. We aimed to assess the functional changes in auditory sensory memory associated with the TWI in patients with schizophrenia by investigating the effect of omission of complex speech stimuli on the MMN. METHODS In total, 17 patients with schizophrenia and 15 control individuals participated in the study. The MMN in response to omission deviants of complex speech sounds was recorded, while the participants were instructed to ignore the series of speech sounds. RESULTS The MMN latency in patients with schizophrenia was significantly prolonged by deviant stimuli to omissions corresponding to the early and late parts of the temporal TWI. There were no significant group differences in the amplitude of the MMN to omissions at different time points across the TWI. CONCLUSIONS Our results suggested that sensory tracing function in patients with schizophrenia is impaired in the early and the later half of the TWI. SIGNIFICANCE We showed that certain MMN abnormalities in patients with schizophrenia may be caused by an impaired TWI.
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Affiliation(s)
- Yuhei Mori
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan.
| | - Hiroshi Hoshino
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
| | - Yusuke Osakabe
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
| | - Tomohiro Wada
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
| | - Kazuko Kanno
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
| | - Tetsuya Shiga
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
| | - Shuntaro Itagaki
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
| | - Itaru Miura
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
| | - Hirooki Yabe
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima 960-1295, Japan
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8
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Fong CY, Law WHC, Uka T, Koike S. Auditory Mismatch Negativity Under Predictive Coding Framework and Its Role in Psychotic Disorders. Front Psychiatry 2020; 11:557932. [PMID: 33132932 PMCID: PMC7511529 DOI: 10.3389/fpsyt.2020.557932] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 08/18/2020] [Indexed: 12/13/2022] Open
Abstract
Traditional neuroscience sees sensory perception as a simple feedforward process. This view is challenged by the predictive coding model in recent years due to the robust evidence researchers had found on how our prediction could influence perception. In the first half of this article, we reviewed the concept of predictive brain and some empirical evidence of sensory prediction in visual and auditory processing. The predictive function along the auditory pathway was mainly studied by mismatch negativity (MMN)-a brain response to an unexpected disruption of regularity. We summarized a range of MMN paradigms and discussed how they could contribute to the theoretical development of the predictive coding neural network by the mechanism of adaptation and deviance detection. Such methodological and conceptual evolution sharpen MMN as a tool to better understand the structural and functional brain abnormality for neuropsychiatric disorder such as schizophrenia.
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Affiliation(s)
- Chun Yuen Fong
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Japan
| | - Wai Him Crystal Law
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Japan.,University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Meguro-ku, Japan.,University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), 3-8-1 Komaba, Meguro-ku, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, Bunkyo-ku, Japan
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