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Diao Y, Wang H, Wang X, Qiu C, Wang Z, Ji Z, Wang C, Gu J, Liu C, Wu K, Wang C. Discriminative analysis of schizophrenia and major depressive disorder using fNIRS. J Affect Disord 2024; 361:256-267. [PMID: 38862077 DOI: 10.1016/j.jad.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/27/2024] [Accepted: 06/03/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Research into the shared and distinct brain dysfunctions in patients with schizophrenia (SCZ) and major depressive disorder (MDD) has been increasing. However, few studies have explored the application of functional near-infrared spectroscopy (fNIRS) in investigating brain dysfunction and enhancing diagnostic methodologies in these two conditions. METHODS A general linear model was used for analysis of brain activation following task-state fNIRS from 131 patients with SCZ, 132 patients with MDD and 130 healthy controls (HCs). Subsequently, seventy-seven time-frequency analysis methods were used to construct new features of fNIRS, followed by the implementation of five machine learning algorithms to develop a differential diagnosis model for the three groups. This model was evaluated by comparing it to both a diagnostic model relying on traditional fNIRS features and assessments made by two psychiatrists. RESULTS Brain activation analysis revealed significantly lower activation in Broca's area, the dorsolateral prefrontal cortex, and the middle temporal gyrus for both the SCZ and MDD groups compared to HCs. Additionally, the SCZ group exhibited notably lower activation in the superior temporal gyrus and the subcentral gyrus compared to the MDD group. When distinguishing among the three groups using independent validation datasets, the models utilizing new fNIRS features achieved an accuracy of 85.90 % (AUC = 0.95). In contrast, models based on traditional fNIRS features reached an accuracy of 52.56 % (AUC = 0.66). The accuracies of the two psychiatrists were 42.00 % (AUC = 0.60) and 38.00 % (AUC = 0.50), respectively. CONCLUSION This investigation brings to light the shared and distinct neurobiological abnormalities present in SCZ and MDD, offering potential enhancements for extant diagnostic systems.
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Affiliation(s)
- Yunheng Diao
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, PR China; The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Huiying Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Brain Institute, Henan Academy of Innovations in Medical Science, Zhengzhou 451163, PR China
| | - Xinyu Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China
| | - Chen Qiu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China
| | - Zitian Wang
- School of Future Technology, Xi'an JiaoTong University, Xi'an, Shanxi 710049, PR China
| | - Ziyang Ji
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Chao Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Jingyang Gu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, PR China; Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, PR China
| | - Cong Liu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, PR China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, PR China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.
| | - Changhong Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Cloud Platform and Application Research Center for Psychological Assistance, Xinxiang, Henan 453002, PR China; Henan Key Laboratory for Sleep Medicine, Xinxiang, Henan 453002, PR China.
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Westbomke S, Schag K, Derntl B, Zipfel S, Stengel A. The impact of emotional stimuli on response inhibition in an inpatient and day-hospital patient psychosomatic cohort. Front Psychiatry 2023; 14:1176721. [PMID: 37457765 PMCID: PMC10347415 DOI: 10.3389/fpsyt.2023.1176721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/08/2023] [Indexed: 07/18/2023] Open
Abstract
Objectives To correctly recognize and respond to your counterpart's emotion is essential for a successful get-together. To ensure this, emotional processes and inhibitory control are linked and interact with each other. However, this interaction can be altered in several mental disorders. In a group of psychosomatic patients, we investigated possible differences in the response inhibition between neutral and emotional stimuli and whether a psychosomatic inpatient and day-hospital patient treatment influences response inhibition profiles. Methods One hundred and one patients, diagnosed with different psychiatric diagnoses (77 women, 41.43 ± 13.13 years), completed an emotional stop-signal task (ESST) and an impulsive behavior scale upon admission in an inpatient and day-hospital patient treatment on a psychosomatic ward (T0) and at discharge (T1). Patients with depressive disorders completed the test again after 1 year (follow-up measurement T2, n = 22). Emotional stimuli were angry and neutral faces. Stop-signal reaction time (SSRT) and stop-signal delay (SSD) were calculated as the main behavioral parameters. Results We found a significantly higher SSRT for neutral than angry faces at both admission (8.538 ms, p < 0.001) and discharge (11.142 ms, p < 0.001), with a matching higher SSD for angry than neutral faces at both timepoints (T0: 8.360 ms, p < 0.001, T1: (6.950 ms, p < 0.001). The SSRT for angry faces significantly decreased after treatment (-8.485 ms, p = 0.0110). For neutral faces, the decrease failed to reach significance (-5.881 ms, p = 0.250). A significant decrease in SSRT for neutral faces in patients with depressive disorders was found 1 year after discharge compared with admission (-19.040 ms, p = 0.0380). Conclusion Our data demonstrate a decreased response inhibition for neutral compared with emotional stimuli and an improved response inhibition for angry faces after discharge in a psychosomatic inpatient and day-hospital patient cohort. Additionally, patients with depressive disorders displayed a significantly better response inhibition for neutral faces 1 year after discharge compared with the baseline measurement. With this study, we provide more evidence for altered emotional response inhibition in different mental disorders and a hint that psychosomatic inpatient and day-hospital patient treatment may help to normalize it, even if the effects remained small and it needs further research to prove causality.
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Affiliation(s)
- Sina Westbomke
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital, Tübingen, Germany
| | - Kathrin Schag
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital, Tübingen, Germany
| | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University Hospital, Tübingen, Germany
| | - Stephan Zipfel
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital, Tübingen, Germany
| | - Andreas Stengel
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital, Tübingen, Germany
- Clinic for Psychosomatic Medicine, Charité Center for Internal Medicine and Dermatology, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charite - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin, Germany
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Jia LX, Zheng Q, Cui JF, Shi HS, Ye JY, Yang TX, Wang Y, Chan RCK. Proactive and reactive response inhibition of individuals with high schizotypy viewing different facial expressions: An ERP study using an emotional stop-signal task. Brain Res 2023; 1799:148191. [PMID: 36463955 DOI: 10.1016/j.brainres.2022.148191] [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: 02/03/2022] [Revised: 08/17/2022] [Accepted: 11/26/2022] [Indexed: 12/03/2022]
Abstract
The present study aimed to examine whether impairments in reactive (outright stopping) and proactive (preparation for stopping) response inhibition are affected by negative emotions in individuals with high schizotypy, a subclinical group at risk for schizophrenia, as well as the neural mechanisms underlying these processes. Twenty-seven participants with high schizotypy and 28 matched low-schizotypy individuals completed an emotional stop-signal task in which they responded to facial emotions (neutral or angry) or inhibited their responses (when the frame of the picture turned red). Electroencephalogram (EEG) data were also recorded during the task. At the neural level, analysis of go trials revealed that viewing angry faces impaired proactive inhibition. In addition, the high-schizotypy group exhibited a greater P3 amplitude in go trials in the neutral condition than the low-schizotypy group; however, no group difference was found in the angry condition. For stop trials (reactive inhibition), a smaller P3 amplitude was found in the angry condition than in the neutral condition. Moreover, high-schizotypy individuals showed smaller P3 amplitudes than low-schizotypy individuals. The current findings suggest that, at the neural level, viewing negative emotions impaired both proactive and reactive response inhibition. Individuals with high schizotypy exhibited impairments in proactive response inhibition in the neutral condition but not in the angry condition; they exhibited impaired reactive response inhibition in both emotion conditions. The present findings deepen our understanding of emotional response inhibition in individuals on the schizophrenia spectrum.
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Affiliation(s)
- Lu-Xia Jia
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qi Zheng
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ji-Fang Cui
- Research Center for Information and Statistics, National Institute of Education Sciences, Beijing, China
| | - Hai-Song Shi
- North China Electric Power University, Beijing, China
| | - Jun-Yan Ye
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Tian-Xiao Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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Jia LX, Ye JY, Cui JF, Shi HS, Yang TX, Wang Y. Proactive and reactive cognitive control for emotional conflict in individuals with high schizotypy: An ERP study. Clin Neurophysiol 2023; 145:36-44. [PMID: 36413979 DOI: 10.1016/j.clinph.2022.10.016] [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: 05/26/2022] [Revised: 10/10/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022]
Abstract
OBJECTIVE The present study aimed to examine how individuals with high schizotypy, a high risk group of schizophrenia patients, resolve emotional conflict in proactive and reactive control and the underlying neural mechanisms. METHODS Thirty-two individuals with high schizotypy and 30 matched individuals with low schizotypy completed an emotional face-word Stroop task with electroencephalographic data recorded. The proportion of incongruent trials was manipulated in the task to induce proactive control (mostly incongruent trials context, MI context) or reactive control (mostly congruent trials context, MC context). Two event-related potential (ERP) components (N170 and N2) were examined, which represent face processing and cognitive control processes, respectively. RESULTS In the MC context, significantly decreased N2 and N170 amplitudes were found in high schizotypy individuals compared with low schizotypy individuals, suggesting abnormal neural activity of reactive control in high schizotypy individuals. No significant differences were found between the two groups in the MI context. CONCLUSIONS These results provide initial evidence for dissociation of neural activity of proactive and reactive control on emotional conflict in individuals with high schizotypy. SIGNIFICANCE The current findings provide important insight into the emotional conflict resolution in the schizophrenia spectrum.
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Affiliation(s)
- Lu-Xia Jia
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jun-Yan Ye
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ji-Fang Cui
- Research Center for Information and Statistics, National Institute of Education Sciences, Beijing, China
| | - Hai-Song Shi
- North China Electric Power University, Beijing, China
| | - Tian-Xiao Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Li R, Hosseini H, Saggar M, Balters SC, Reiss AL. Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry. NEUROPHOTONICS 2023; 10:013505. [PMID: 36777700 PMCID: PMC9904322 DOI: 10.1117/1.nph.10.1.013505] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 01/13/2023] [Indexed: 05/19/2023]
Abstract
Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique for assessing human brain activity by noninvasively measuring the fluctuation of cerebral oxygenated- and deoxygenated-hemoglobin concentrations associated with neuronal activity. Owing to its superior mobility, low cost, and good tolerance for motion, the past few decades have witnessed a rapid increase in the research and clinical use of fNIRS in a variety of psychiatric disorders. In this perspective article, we first briefly summarize the state-of-the-art concerning fNIRS research in psychiatry. In particular, we highlight the diverse applications of fNIRS in psychiatric research, the advanced development of fNIRS instruments, and novel fNIRS study designs for exploring brain activity associated with psychiatric disorders. We then discuss some of the open challenges and share our perspectives on the future of fNIRS in psychiatric research and clinical practice. We conclude that fNIRS holds promise for becoming a useful tool in clinical psychiatric settings with respect to developing closed-loop systems and improving individualized treatments and diagnostics.
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Affiliation(s)
- Rihui Li
- Stanford University, Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford, California, United States
| | - Hadi Hosseini
- Stanford University, Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford, California, United States
| | - Manish Saggar
- Stanford University, Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford, California, United States
| | - Stephanie Christina Balters
- Stanford University, Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford, California, United States
| | - Allan L. Reiss
- Stanford University, Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford, California, United States
- Stanford University, Department of Radiology and Pediatrics, Stanford, California, United States
- Stanford University, Department of Pediatrics, Stanford, California, United States
- Address all correspondence to Allan L. Reiss,
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Conley AC, Albert KM, Armstrong K, Johnson JV, Kem WR, Newhouse PA, Lewis AS. A pilot study of transdermal nicotine effects on facial emotion responding in non-smoking healthy controls and individuals with schizophrenia: Feasibility and effect size estimates. Schizophr Res 2022; 250:89-91. [PMID: 36372000 PMCID: PMC9742318 DOI: 10.1016/j.schres.2022.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/07/2022] [Accepted: 10/30/2022] [Indexed: 11/13/2022]
Affiliation(s)
- Alexander C Conley
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA; Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA.
| | - Kimberly M Albert
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA; Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA.
| | - Kristan Armstrong
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA.
| | - Jodie V Johnson
- Department of Chemistry, University of Florida, PO Box 117200, Gainesville, FL 32611, USA.
| | - William R Kem
- Department of Pharmacology and Therapeutics, College of Medicine, University of Florida, 1200 Newell Drive, ARB R5-234, Gainesville, FL 32610, USA.
| | - Paul A Newhouse
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA; Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA; Geriatric Research, Education and Clinical Center, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, 1310 24th Avenue South, Nashville, TN 37212, USA.
| | - Alan S Lewis
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA; Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Nashville, TN 37212, USA.
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Juríčková V, Linhartová P, Adámek P, Nichtová A, Figueroa J, Páv M, Preiss M, Vevera J. Behavioral inhibition in neutral and emotional contexts in acutely violent patients with schizophrenia spectrum disorders. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03415-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Shinba T, Kariya N, Matsuda S, Arai M, Itokawa M, Hoshi Y. Near-Infrared Time-Resolved Spectroscopy Shows Anterior Prefrontal Blood Volume Reduction in Schizophrenia but Not in Major Depressive Disorder. SENSORS 2022; 22:s22041594. [PMID: 35214493 PMCID: PMC8877487 DOI: 10.3390/s22041594] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/09/2022] [Accepted: 02/15/2022] [Indexed: 11/16/2022]
Abstract
Previous studies using various brain imaging methods have reported prefrontal blood flow disturbances in psychiatric disorders, including schizophrenia and major depressive disorder. In both disorders, alterations of the resting blood flow, in addition to that of the activation in response to task load, have been shown, but the results are not consistent. The present study aimed to examine the anterior prefrontal hemoglobin concentration at the resting state in schizophrenia and depression using near-infrared time-resolved spectroscopy (NIR-TRS), which estimates the optical absorption coefficients and calculates the absolute concentrations of oxygenated (oxy-Hb), deoxygenated (deoxy-Hb), and total (total-Hb; sum of oxy-Hb and deoxy-Hb) hemoglobin. Their ratios to systemic blood hemoglobin concentration (blood-Hb) were also assessed. In agreement with our previous data, total-Hb and total-Hb/blood-Hb in schizophrenia were significantly lower. The present study further revealed that both oxy-Hb/blood-Hb and deoxy-Hb/blood-Hb in schizophrenia were reduced. In depression, total-Hb, total-Hb/blood-Hb, oxy-Hb, and oxy-Hb/blood-Hb were higher than in schizophrenia and were not different from the control. The oxygen saturation (oxy-Hb/total-Hb), in addition to the optical pathlengths, did not show group differences. Lowered oxy-Hb/blood-Hb and deoxy-Hb/blood-Hb together with unchanged oxygen saturation may indicate that the prefrontal blood volume is reduced in schizophrenia. The present findings suggest that NIR-TRS is useful in analyzing the hemodynamic aspects of prefrontal dysfunction in schizophrenia and differentiating schizophrenia from depression.
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Affiliation(s)
- Toshikazu Shinba
- Department of Psychiatry, Shizuoka Saiseikai General Hospital, Shizuoka 422-8527, Japan
- Autonomic Nervous System Consulting, Shizuoka 422-8527, Japan
- Maynds Tower Mental Clinic, Tokyo 151-0053, Japan; (N.K.); (S.M.)
- Schizophrenia Research Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan; (M.A.); (M.I.)
- Correspondence: ; Tel.: +81-54-285-6171
| | - Nobutoshi Kariya
- Maynds Tower Mental Clinic, Tokyo 151-0053, Japan; (N.K.); (S.M.)
| | - Saori Matsuda
- Maynds Tower Mental Clinic, Tokyo 151-0053, Japan; (N.K.); (S.M.)
| | - Makoto Arai
- Schizophrenia Research Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan; (M.A.); (M.I.)
| | - Masanari Itokawa
- Schizophrenia Research Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan; (M.A.); (M.I.)
| | - Yoko Hoshi
- Department of Biomedical Optics, Institute for Medical Photonics Research, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan;
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Sasaki J, Matsubara T, Chen C, Fujii Y, Fujita Y, Nakamuta M, Nitta K, Egashira K, Hashimoto T, Nakagawa S. Prefrontal activity during the emotional go/no-go task and computational markers of risk-based decision-making predict future relapse in alcohol use disorder. Front Psychiatry 2022; 13:1048152. [PMID: 36683993 PMCID: PMC9845941 DOI: 10.3389/fpsyt.2022.1048152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/28/2022] [Indexed: 01/05/2023] Open
Abstract
AIM To longitudinally examine if the results of cognitive tasks or brain function during emotional or cognitive tasks can predict relapse in alcohol use disorder. METHODS We selected 41 patients with alcohol use disorder during hospitalization. Functional near-infrared spectroscopy (fNIRS) measured the relative change in oxygenated hemoglobin in the frontotemporal areas during an emotional go/no-go task and verbal fluency task (VFT). They performed the N-back and risk-based decision-making tasks for determining working memory or risk-based decision-making. The presence of relapse 6 months following discharge was the primary outcome. RESULTS Twenty-four patients (21 men, three women) remained abstinent, whereas 17 (14 men, three women) relapsed. Compared with the abstinent group, those with relapse displayed significantly decreased activation in the right frontotemporal region during the emotional go/no-go task, significantly shorter reaction time to non-emotional stimuli, and greater risk preference in the risk-based decision-making task. In the abstinent group, we observed a negative correlation between oxygenated hemoglobin and the craving scale. A logistic regression analysis demonstrated that the risk of relapse increased with smaller oxygenated hemoglobin in the right frontotemporal region (odds ratio = 0.161, p = 0.013) and with greater gambling thoughts (odds ratio = 7.04, p = 0.033). CONCLUSION Decreased activation in the right frontotemporal region in response to an emotional stimulus and risk preference could predict relapse in alcohol use disorder.
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Affiliation(s)
- Jun Sasaki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan.,Koryo Hospital, Ube, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Yuko Fujii
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | | | | | | | | | | | - Shin Nakagawa
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
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Ventrolateral prefrontal hemodynamic responses in autism spectrum disorder with and without depression. PLoS One 2021; 16:e0256780. [PMID: 34449833 PMCID: PMC8396790 DOI: 10.1371/journal.pone.0256780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 08/14/2021] [Indexed: 11/25/2022] Open
Abstract
In clinical settings, autism spectrum disorder (ASD) with comorbid depression is often difficult to diagnose, and should be considered in treatment. However, to our knowledge, no functional imaging study has examined the difference between ASD adolescents with and without comorbid depression. We aimed to compare the characteristics and prefrontal brain function of ASD with and without depression in order to identify a biological marker that can be used to detect the difference. Twenty-eight drug-naïve adolescents with ASD (14 ASD with and 14 ASD without depression) and 14 age- and gender-matched adolescents with typical development were evaluated using several variables. These included intelligence quotient, autism quotient, depression severity using the Beck Depression Inventory 2nd edition (BDI-II), and level of social functioning using the Social Adaptation Self-evaluation Scale (SASS). In addition, frontotemporal hemodynamic responses during a verbal fluency task (VFT) were measured using functional near-infrared spectroscopy (fNIRS). The ASD group, including both of the ASD with and ASD without depression groups, showed smaller hemodynamic responses than the typical development group in portions of the left dorsolateral prefrontal cortex (DLPFC), bilateral ventrolateral prefrontal cortex (VLPFC) and anterior part of the temporal cortex (aTC) during the VFT. Moreover, the smaller hemodynamic responses in the right VLPFC during the VFT in the ASD group were associated with the worse BDI-II and SASS scores. Furthermore, the ASD with depression group showed smaller hemodynamic responses in the right VLPFC during the VFT than the ASD without depression group in a direct comparison. Adolescents with ASD showed reduced activation in broad frontotemporal regions during a cognitive task compared with those with typical development. More specifically, the right VLPFC activation reflected the level of self-estimated depression and social functioning in the ASD subjects, and could be used to discriminate between ASD adolescents with and without depression.
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Westgarth MMP, Hogan CA, Neumann DL, Shum DHK. A systematic review of studies that used NIRS to measure neural activation during emotion processing in healthy individuals. Soc Cogn Affect Neurosci 2021; 16:345-369. [PMID: 33528022 PMCID: PMC7990068 DOI: 10.1093/scan/nsab017] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 01/10/2021] [Accepted: 02/02/2021] [Indexed: 12/05/2022] Open
Abstract
Functional neuroimaging provides an avenue for earlier diagnosis and tailored treatment of psychological disorders characterised by emotional impairment. Near-infrared spectroscopy (NIRS) offers ecological advantages compared to other neuroimaging techniques and suitability of measuring regions involved in emotion functions. A systematic review was conducted to evaluate the capacity of NIRS to detect activation during emotion processing and to provide recommendations for future research. Following a comprehensive literature search, we reviewed 85 journal articles, which compared activation during emotional experience, regulation or perception with either a neutral condition or baseline period among healthy participants. The quantitative synthesis of outcomes was limited to thematical analysis, owing to the lack of standardisation between studies. Although most studies found increased prefrontal activity during emotional experience and regulation, the findings were more inconsistent for emotion perception. Some researchers reported increased activity during the task, some reported decreases, some no significant changes, and some reported mixed findings depending on the valence and region. We propose that variations in the cognitive task and stimuli, recruited sample, and measurement and analysis of data are the primary causes of inconsistency. Recommendations to improve consistency in future research by carefully considering the choice of population, cognitive task and analysis approach are provided.
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Affiliation(s)
- Matthew M P Westgarth
- School of Applied Psychology, Griffith University, Brisbane, Queensland, 4122, Australia
| | - Christy A Hogan
- School of Applied Psychology, Griffith University, Brisbane, Queensland, 4122, Australia
| | - David L Neumann
- School of Applied Psychology, Griffith University, Brisbane, Queensland, 4122, Australia
| | - David H K Shum
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon City District, 100077, Hong Kong
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Qiu X, Lu S, Zhou M, Yan W, Du J, Zhang A, Xie S, Zhang R. The Relationship Between Abnormal Resting-State Functional Connectivity of the Left Superior Frontal Gyrus and Cognitive Impairments in Youth-Onset Drug-Naïve Schizophrenia. Front Psychiatry 2021; 12:679642. [PMID: 34721094 PMCID: PMC8548582 DOI: 10.3389/fpsyt.2021.679642] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 09/02/2021] [Indexed: 11/25/2022] Open
Abstract
Objective: Age of onset is one of the heterogeneous factors in schizophrenia, and an earlier onset of the disease indicated a worse prognosis. The left superior frontal gyrus (SFG) is involved in numerous cognitive and motor control tasks. Hence, we explored the relationship between abnormal changes in SFG resting-state functional connectivity (rsFC) and cognitive function in the peak age of incidence to understand better the pathophysiological mechanism in youth-onset drug-naïve schizophrenia to search for reliable biomarkers. Methods: About 66 youth-onset drug-naïve schizophrenia patients and 59 healthy controls (HCs) were included in this study. Abnormal connectivity changes in the left SFG and whole brain were measured using the region of interest (ROI) rsFC analysis method. The cognitive function was assessed using the MATRICS Consensus Cognitive Battery (MCCB), and the severity of the clinical symptoms was evaluated by positive and negative syndrome scale (PANSS). Furthermore, we analyzed the relationships among abnormal FC values, cognition scores, and clinical symptoms. Results: We found decreased FC between left SFG and bilateral precuneus (PCUN), right hippocampus, right parahippocampal gyrus, left thalamus, left caudate, insula, and right superior parietal lobule (SPL), whereas increased FC was seen between the left SFG and right middle frontal gyrus (MFG) in the youth-onset drug-naïve schizophrenia group, compared with HCs. Meanwhile, the T-scores were lower in each cognitive domain than HCs. Moreover, in the youth-onset drug-naive schizophrenia group, the insula was negatively correlated with processing speed. No significant correlations were found between the FC-value and PANSS score. Conclusions: Our findings suggest widespread FC network abnormalities in the left SFG and widespread cognitive impairments in the early stages of schizophrenia. The dysfunctional connectivity of the left SFG may be a potential pathophysiological mechanism in youth-onset drug-naïve schizophrenia.
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Affiliation(s)
- Xiaolei Qiu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shuiping Lu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Min Zhou
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Yan
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jinglun Du
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Aoshuang Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shiping Xie
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Rongrong Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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13
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Chang F, Li H, Zhang S, Chen C, Liu C, Cai W. Research progress of functional near-infrared spectroscopy in patients with psychiatric disorders. Forensic Sci Res 2020; 6:141-147. [PMID: 34377571 PMCID: PMC8330753 DOI: 10.1080/20961790.2020.1720901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) is a technique of detecting cerebral cortical function by using near-infrared light, which is a multifunctional neuroimaging technique and provides a convenient and efficient detection method in neuroscience. In consideration of acceptability, safety, high spatial and temporal resolutions compared with electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI), fNIRS is widely used to study different psychiatric disorders, most prominently affective disorders, schizophrenic illnesses, brain organic mental disorders and neurodevelopmental disorders, etc. The article focuses on the latest research progress and practical application of fNIRS in psychiatric disorders, especially traumatic brain, including studies on the characterization of phenomenology, treatment effects and descriptions of neuroimaging data.
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Affiliation(s)
- Fan Chang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China.,School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Haozhe Li
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Shengyu Zhang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Chen Chen
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Chao Liu
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Weixiong Cai
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China.,School of Mental Health, Wenzhou Medical University, Wenzhou, China
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14
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Abstract
OBJECTIVE Inhibitory control is a key deficit in patients with schizophrenia. This study aims to test whether emotions can facilitate inhibition in patients with schizophrenia when they increase attention to inhibitory process. METHOD A total of 36 patients with schizophrenia and 36 healthy controls completed an emotional stop-signal task. The task involved selective responses to "Go" stimuli and stopped response when emotional or neutral stop cues occurred. RESULTS In all conditions, patients with schizophrenia took longer time to inhibit response compared with healthy controls, indicating an overall impairment in response inhibition. Importantly, patients with schizophrenia and controls acquired similar size of benefit from the negative stop cues, showing as reduced reaction time to negative than neutral stop cues. However, the negative stop cues impaired subsequent Go performance only in patients with schizophrenia, indicating additional cost of the negative stop cues for patients with schizophrenia. In both groups, the positive stop cues did not have any significant influence on response inhibition. CONCLUSIONS These findings provide novel evidence for the benefit of emotional stop cues on inhibitory control in patients with schizophrenia and reveal different after-effects of emotional enhancement effect in patients and healthy populations. The findings may help develop effective interventions for improving inhibitory control in patients with schizophrenia and other clinical populations.
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Barahimi S, Einalou Z, Dadgostar M. STUDIES ON SCHIZOPHRENIA AND DEPRESSIVE DISEASES BASED ON FUNCTIONAL NEAR-INFRARED SPECTROSCOPY. BIOMEDICAL ENGINEERING: APPLICATIONS, BASIS AND COMMUNICATIONS 2018. [DOI: 10.4015/s101623721830002x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Many investigations have been carried out on functional near infrared spectroscopy (fNIRS) applications in depression and schizophrenia patients that are most mysterious and costliest mental disorders in current society. fNIRS is a new optical method which assesses brain cortex hemodynamic and nervous activities non-invasively and it has been used in medicine as a study tool. Most of the researches of this approach have assessed the homodynamic response of frontal and temporal regions by means of various cognitive tasks. In this research, first, the cognitive task execution techniques have been explained concisely, and then some findings of fNIRS-based researches about depression and schizophrenia have been summarized and assessed. In fNIRS studies that have used various devices with different number of channels, the brain cortex functionality in schizophrenia and depressive patients has been investigated. The results demonstrate that a decrease in prefrontal regions activities can be observed in schizophrenia and depressive patients. Also more detailed studies illustrate ventrolateral, prefrontal and frontopolar region disorders. In severe depressive patients, a decrease in activities of prefrontal and temporal regions has been detected. Therefore, by paying attention to the deficiencies in these regions’ functions, it is possible to treat these diseases.
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Affiliation(s)
- Shekoufe Barahimi
- Department of Biomedical Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Zahra Einalou
- Department of Biomedical Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Mehrdad Dadgostar
- Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
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16
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Differences in frontotemporal dysfunction during social and non-social cognition tasks between patients with autism spectrum disorder and schizophrenia. Sci Rep 2018; 8:3014. [PMID: 29445197 PMCID: PMC5813031 DOI: 10.1038/s41598-018-21379-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 02/02/2018] [Indexed: 12/21/2022] Open
Abstract
Although literature evidence suggests deficits in social and non-social cognition in patients with autistic spectrum disorder (ASD) and schizophrenia (SCZ), the difference in neural correlates of the impairments between the two disorders has not been elucidated. We examined brain function in response to a non-social cognition and a social cognition task using functional near-infrared spectroscopy (fNIRS) in 13 patients with ASD, 15 patients with SCZ, and 18 healthy subjects. We assessed the brain function of participants using a verbal fluency task and an emotional facial recognition task. The patients with ASD showed significantly reduced brain activation in the left frontotemporal area during both tasks compared to healthy subjects. The patients with ASD with larger score in ‘attention to detail’ in the autism spectrum quotient showed lower activation of the left frontotemporal area during the two tasks. The patients with SCZ showed significantly reduced activation, compared to healthy subjects, and greater activation, compared to patients with ASD, in the area during the verbal fluency task. The patients with SCZ with more severe symptoms had lower brain activation during the task in this area. Our results suggest that two distinct areas are involved in the distinctive brain pathophysiology relevant to cognitive processing in patients with ASD and SCZ.
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17
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Gao X, Zhang W, Yao L, Xiao Y, Liu L, Liu J, Li S, Tao B, Shah C, Gong Q, Sweeney JA, Lui S. Association between structural and functional brain alterations in drug-free patients with schizophrenia: a multimodal meta-analysis. J Psychiatry Neurosci 2017; 43:160219. [PMID: 29244020 PMCID: PMC5837885 DOI: 10.1503/jpn.160219] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 08/29/2017] [Accepted: 09/09/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Neuroimaging studies have shown both structural and functional abnormalities in patients with schizophrenia. Recently, studies have begun to explore the association between structural and functional grey matter abnormalities. By conducting a meta-analysis on morphometric and functional imaging studies of grey matter alterations in drug-free patients, the present study aims to examine the degree of overlap between brain regions with anatomic and functional changes in patients with schizophrenia. METHODS We performed a systematic search of PubMed, Embase, Web of Science and the Cochrane Library to identify relevant publications. A multimodal analysis was then conducted using Seed-based d Mapping software. Exploratory analyses included jackknife, subgroup and meta-regression analyses. RESULTS We included 15 structural MRI studies comprising 486 drug-free patients and 485 healthy controls, and 16 functional MRI studies comprising 403 drug-free patients and 428 controls in our meta-analysis. Drug-free patients were examined to reduce pharmacological effects on the imaging data. Multimodal analysis showed considerable overlap between anatomic and functional changes, mainly in frontotemporal regions, bilateral medial posterior cingulate/paracingulate gyrus, bilateral insula, basal ganglia and left cerebellum. There were also brain regions showing only anatomic changes in the right superior frontal gyrus, left supramarginal gyrus, right lingual gyrus and functional alternations involving the right angular gyrus. LIMITATIONS The methodological aspects, patient characteristics and clinical variables of the included studies were heterogeneous, and we cannot exclude medication effects. CONCLUSION The present study showed overlapping anatomic and functional brain abnormalities mainly in the default mode (DMN) and auditory networks (AN) in drug-free patients with schizophrenia. However, the pattern of changes differed in these networks. Decreased grey matter was associated with decreased activation within the DMN, whereas it was associated with increased activation within the AN. These discrete patterns suggest different pathophysiological changes impacting structural and functional associations within different neural networks in patients with schizophrenia.
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Affiliation(s)
- Xin Gao
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Wenjing Zhang
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Li Yao
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Yuan Xiao
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Lu Liu
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Jieke Liu
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Siyi Li
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Bo Tao
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Chandan Shah
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Qiyong Gong
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - John A Sweeney
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
| | - Su Lui
- From the Department of Radiology, Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China (Gao, Lui); the Department of Radiology, the Centre for Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Gao, Zhang, Yao, Xiao, Liu, Li, Tao, Shah, Gong, Lui); and the Department of Psychiatry, University of Texas Southwestern, Dallas, Tex, USA (Sweeney)
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18
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Angry but not neutral faces facilitate response inhibition in schizophrenia patients. Eur Arch Psychiatry Clin Neurosci 2017; 267:621-627. [PMID: 27866272 DOI: 10.1007/s00406-016-0748-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 11/06/2016] [Indexed: 10/20/2022]
Abstract
Schizophrenia is a very heterogeneous disorder with extensive impairments in cognitive as well as emotional abilities. One critical domain is response inhibition, and previous studies in schizophrenia patients have mostly observed impairments, i.e., slower inhibition. Moreover, response inhibition to socially salient stimuli has not been investigated in schizophrenia so far. Therefore, to elucidate emotion-cognition interactions by examining potential emotional effects on inhibition processes and further investigate the association of cognition with inhibition we used an emotional stop signal task in 27 schizophrenia patients and 27 gender- and age-matched controls. Task irrelevant emotional faces (angry and neutral) were used as stimuli in a stop signal reaction time task. Regarding accuracy, patients showed significantly worse performance in neutral trials, while their performance in anger trials (stop and go) was similar to controls. Angry faces elicited faster response inhibition in both groups, underlining an emotional facilitation effect. Neurocognitive functions significantly correlated with accuracy in the stop signal task in schizophrenia patients, thus further strengthening the notion of the strong link between cognitive abilities and inhibition processes. Inhibitory control impairments are of high clinical interest due to their association with substance abuse, impulsive behavior and suicide. Based on our data, neutral faces significantly affect response inhibition in schizophrenia while an emotional facilitation effect was apparent for angry faces even in schizophrenia patients. Thus, our data further support the notion that neutral face processing is critically impaired in schizophrenia.
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19
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Kim HY, Seo K, Jeon HJ, Lee U, Lee H. Application of Functional Near-Infrared Spectroscopy to the Study of Brain Function in Humans and Animal Models. Mol Cells 2017; 40:523-532. [PMID: 28835022 PMCID: PMC5582298 DOI: 10.14348/molcells.2017.0153] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 08/03/2017] [Indexed: 01/26/2023] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique that indirectly assesses neuronal activity by measuring changes in oxygenated and deoxygenated hemoglobin in tissues using near-infrared light. fNIRS has been used not only to investigate cortical activity in healthy human subjects and animals but also to reveal abnormalities in brain function in patients suffering from neurological and psychiatric disorders and in animals that exhibit disease conditions. Because of its safety, quietness, resistance to motion artifacts, and portability, fNIRS has become a tool to complement conventional imaging techniques in measuring hemodynamic responses while a subject performs diverse cognitive and behavioral tasks in test settings that are more ecologically relevant and involve social interaction. In this review, we introduce the basic principles of fNIRS and discuss the application of this technique in human and animal studies.
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Affiliation(s)
- Hak Yeong Kim
- Department of Brain and Cognitive Sciences, DGIST, Daegu 42988,
Korea
| | - Kain Seo
- Department of Brain and Cognitive Sciences, DGIST, Daegu 42988,
Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul 06351,
Korea
| | - Unjoo Lee
- Department of Electronic Engineering, Hallym University, Kangwon 24252,
Korea
| | - Hyosang Lee
- Department of Brain and Cognitive Sciences, DGIST, Daegu 42988,
Korea
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20
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Kumar V, Shivakumar V, Chhabra H, Bose A, Venkatasubramanian G, Gangadhar BN. Functional near infra-red spectroscopy (fNIRS) in schizophrenia: A review. Asian J Psychiatr 2017; 27:18-31. [PMID: 28558892 DOI: 10.1016/j.ajp.2017.02.009] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 02/02/2017] [Accepted: 02/12/2017] [Indexed: 01/14/2023]
Abstract
The research on the alterations in functional connectivity in schizophrenia has been facilitated by development of an array of functional neuroimaging techniques. Functional Near Infra Red Spectroscopy (fNIRS) is a novel diffuse optical neuromonitring method with its own advantages and limitations. The advantages of fNIRS have made it to be frequently used as a research tool by medical community in different settings. In fNIRS the property of haemoglobin to absorb near infrared light is used to measure brain activity. It provides the indirect measurement of the neuronal activity in the areas of interest. The advantage of fNIRS being less restrictive has made it to be used more commonly in the research of psychiatric disorders in general, schizophrenia in particular. The fNIRS studies on patients with schizophrenia have shown haemodynamic hypo activation primarily in the prefrontal cortex during various cognitive tasks. In this review, initially we have briefly explained the basic principles of fNIRS followed by detailed review of fNIRS findings in patients with schizophrenia.
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Affiliation(s)
- Vijay Kumar
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India.
| | - Venkataram Shivakumar
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Harleen Chhabra
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Anushree Bose
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Ganesan Venkatasubramanian
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Bangalore N Gangadhar
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
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21
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Ettinger U, Aichert DS, Wöstmann N, Dehning S, Riedel M, Kumari V. Response inhibition and interference control: Effects of schizophrenia, genetic risk, and schizotypy. J Neuropsychol 2017; 12:484-510. [DOI: 10.1111/jnp.12126] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 03/06/2017] [Indexed: 01/18/2023]
Affiliation(s)
| | | | | | - Sandra Dehning
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy; University of Munich; Germany
| | | | - Veena Kumari
- Research and Development; Sovereign Health Group; San Clemente California USA
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22
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Lu X, Yang Y, Wu F, Gao M, Xu Y, Zhang Y, Yao Y, Du X, Li C, Wu L, Zhong X, Zhou Y, Fan N, Zheng Y, Xiong D, Peng H, Escudero J, Huang B, Li X, Ning Y, Wu K. Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images. Medicine (Baltimore) 2016; 95:e3973. [PMID: 27472673 PMCID: PMC5265810 DOI: 10.1097/md.0000000000003973] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 05/16/2016] [Accepted: 05/26/2016] [Indexed: 12/11/2022] Open
Abstract
Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) and region of interest (ROI) analyses. However, these analyses can only detect group-wise differences and thus, have a poor predictive value for individuals. In the present study, we applied a machine learning method that combined support vector machine (SVM) with recursive feature elimination (RFE) to discriminate SZ patients from normal controls (NCs) using their structural MRI data. We first employed both VBM and ROI analyses to compare gray matter volume (GMV) and white matter volume (WMV) between 41 SZ patients and 42 age- and sex-matched NCs. The method of SVM combined with RFE was used to discriminate SZ patients from NCs using significant between-group differences in both GMV and WMV as input features. We found that SZ patients showed GM and WM abnormalities in several brain structures primarily involved in the emotion, memory, and visual systems. An SVM with a RFE classifier using the significant structural abnormalities identified by the VBM analysis as input features achieved the best performance (an accuracy of 88.4%, a sensitivity of 91.9%, and a specificity of 84.4%) in the discriminative analyses of SZ patients. These results suggested that distinct neuroanatomical profiles associated with SZ patients might provide a potential biomarker for disease diagnosis, and machine-learning methods can reveal neurobiological mechanisms in psychiatric diseases.
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Affiliation(s)
- Xiaobing Lu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Yongzhe Yang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Fengchun Wu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Minjian Gao
- School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yong Xu
- School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yue Zhang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yongcheng Yao
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Xin Du
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Chengwei Li
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Lei Wu
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Xiaomei Zhong
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Yanling Zhou
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Ni Fan
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Yingjun Zheng
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Hongjun Peng
- Department of Clinical Psychology, Guangzhou Brain Hospital (GBH)/ (Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Javier Escudero
- Institute for Digital Communications, School of Engineering, The University of Edinburgh, Edinburgh EH9 3JL, UK
| | - Biao Huang
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, US
- Department of Electric and Computer Engineering, New Jersey Institute of Technology, NJ, US
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, US
| | - Yuping Ning
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Kai Wu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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23
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Watanuki T, Matsuo K, Egashira K, Nakashima M, Harada K, Nakano M, Matsubara T, Takahashi K, Watanabe Y. Precentral and inferior prefrontal hypoactivation during facial emotion recognition in patients with schizophrenia: A functional near-infrared spectroscopy study. Schizophr Res 2016; 170:109-14. [PMID: 26612087 DOI: 10.1016/j.schres.2015.11.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Revised: 11/13/2015] [Accepted: 11/13/2015] [Indexed: 10/22/2022]
Abstract
Although patients with schizophrenia demonstrate abnormal processing of emotional face recognition, the neural substrates underlying this process remain unclear. We previously showed abnormal fronto-temporal function during facial expression of emotions, and cognitive inhibition in patients with schizophrenia using functional near-infrared spectroscopy (fNIRS). The aim of the current study was to use fNIRS to identify which brain regions involved in recognizing emotional faces are impaired in patients with schizophrenia, and to determine the neural substrates underlying the response to emotional facial expressions per se, and to facial expressions with cognitive inhibition. We recruited 19 patients with schizophrenia and 19 healthy controls, statistically matched on age, sex, and premorbid IQ. Brain function was measured by fNIRS during emotional face assessment and face identification tasks. Patients with schizophrenia showed lower activation of the right precentral and inferior frontal areas during the emotional face task compared to controls. Further, patients with schizophrenia were slower and less accurate in completing tasks compared to healthy participants. Decreasing performance was associated with increasing severity of the disease. Our present and prior studies suggest that the impaired behavioral performance in schizophrenia is associated with different mechanisms for processing emotional facial expressions versus facial expressions combined with cognitive inhibition.
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Affiliation(s)
- Toshio Watanuki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
| | - Koji Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan.
| | - Kazuteru Egashira
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; Egashira Clinic, Kitakyushu, Fukuoka 807-8555, Japan
| | - Mami Nakashima
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; Nagatoichinomiya Hospital, Shimonoseki, Yamaguchi 751-0885, Japan
| | - Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
| | - Masayuki Nakano
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; Katakura Hospital, Ube, Yamaguchi 755-0151, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; Health Administration Center, Yamaguchi University Organization for University Education, Yamaguchi, Yamaguchi 753-8511, Japan
| | | | - Yoshifumi Watanabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
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