1
|
Tran BX, Nguyen TT, Boyer L, Fond G, Auquier P, Nguyen HSA, Tran HTN, Nguyen HM, Choi J, Le HT, Latkin CA, Nathan KI, Husain SF, McIntyre RS, Ho CSH, Zhang MWB, Ho RCM. Differentiating people with schizophrenia from healthy controls in a developing Country: An evaluation of portable functional near infrared spectroscopy (fNIRS) as an adjunct diagnostic tool. Front Psychiatry 2023; 14:1061284. [PMID: 36778640 PMCID: PMC9910791 DOI: 10.3389/fpsyt.2023.1061284] [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: 10/04/2022] [Accepted: 01/05/2023] [Indexed: 01/27/2023] Open
Abstract
INTRODUCTION This study aimed to evaluate portable functional near-infrared spectroscopy (fNIRS) device as an adjunct diagnostic tool in Vietnam to assess hemodynamics when people with schizophrenia and healthy controls performed cognitive tasks. METHODS One hundred fifty-seven participants were divided into schizophrenia (n = 110) and healthy controls group (n = 47), which were recruited by match of age, and gender. Hemodynamic responses in the frontal cortex were monitored with a 48-channel portable device during the Stroop Color-Word Test (SCWT) and Verbal Fluency Test (VFT). General linear model compared the differences in oxyhemoglobin (HbO2) levels between the two groups. The Receiver Operating Characteristic (ROC) graph was generated for each neuroanatomical area. RESULTS People with schizophrenia did not show significant activation in the frontal lobe during the SCWT and VFT as compared to pre-task. During the VFT, the area under the ROC curve of the bilateral dorsolateral prefrontal cortex, bilateral orbitofrontal cortex, bilateral frontopolar prefrontal cortex, and bilateral ventrolateral prefrontal cortex were greater than 0.7 (p < 0.001). The area under the ROC curve (AUC) for the right orbitofrontal cortex was maximal during the VFT (AUC = 0.802, 95%CI = 0.731-0.872). The Youden's index reached a peak (0.57) at the optimal cut-point value (HbO2 cutoff <0.209 μmol/ml for schizophrenia) in which the sensitivity was 85%; specificity was 72%; positive predictive value (PPV) was 0.88; negative predictive value (NPV) was 0.68 and correct classification rate was 76%. DISCUSSION Assessing hemodynamics during VFT by portable fNIRS offers the potential as an adjunct diagnostic tool for schizophrenia in developing countries.
Collapse
Affiliation(s)
- Bach Xuan Tran
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Tham Thi Nguyen
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Laurent Boyer
- EA 3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | - Guillaume Fond
- EA 3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | - Pascal Auquier
- EA 3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France
| | | | | | | | | | - Huong Thi Le
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Carl A Latkin
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Kalpana Isabel Nathan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Syeda F Husain
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Roger S McIntyre
- Mood Disorder Psychopharmacology Unit, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Cyrus S H Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Melvyn W B Zhang
- Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Roger C M Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| |
Collapse
|
2
|
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.
Collapse
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,
| |
Collapse
|
3
|
Koike S, Sakakibara E, Satomura Y, Sakurada H, Yamagishi M, Matsuoka J, Okada N, Kasai K. Shared functional impairment in the prefrontal cortex affects symptom severity across psychiatric disorders. Psychol Med 2022; 52:2661-2670. [PMID: 33336641 PMCID: PMC9647535 DOI: 10.1017/s0033291720004742] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 10/27/2020] [Accepted: 11/06/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND The prefrontal deficits in psychiatric disorders have been investigated using functional neuroimaging tools; however, no studies have tested the related characteristics across psychiatric disorders considering various demographic and clinical confounders. METHODS We analyzed 1558 functional brain measurements using a functional near-infrared spectroscopy during a verbal fluency task from 1200 participants with three disease spectra [196 schizophrenia, 189 bipolar disorder (BPD), and 394 major depressive disorder (MDD)] and 369 healthy controls along with demographic characteristics (age, gender, premorbid IQ, and handedness), task performance during the measurements, clinical assessments, and medication equivalent doses (chlorpromazine, diazepam, biperiden, and imipramine) in a consistent manner. The association between brain functions and demographic and clinical variables was tested using a general linear mixed model (GLMM). Then, the direction of relationship between brain activity and symptom severity, controlling for any other associations, was estimated using a model comparison of structural equation models (SEMs). RESULTS The GLMM showed a shared functional deficit of brain activity and a schizophrenia-specific delayed activity timing in the prefrontal cortex (false discovery rate-corrected p < 0.05). Comparison of SEMs showed that brain activity was associated with the global assessment of functioning scores in the left inferior frontal gyrus opercularis (IFGOp) in BPD group and the bilateral superior temporal gyrus and middle temporal gyrus, and the left superior frontal gyrus, inferior frontal gyrus triangularis, and IFGOp in MDD group. CONCLUSION This cross-disease large-sample neuroimaging study with high-quality clinical data reveals a robust relationship between prefrontal function and behavioral outcomes across three major psychiatric disorders.
Collapse
Affiliation(s)
- Shinsuke Koike
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Meguro-ku, Tokyo 153-8902, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Tokyo 153-8902, Japan
- University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Eisuke Sakakibara
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yoshihiro Satomura
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Hanako Sakurada
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Mika Yamagishi
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Jun Matsuoka
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Naohiro Okada
- The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Kiyoto Kasai
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Meguro-ku, Tokyo 153-8902, Japan
- University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-8655, Japan
| |
Collapse
|
4
|
Surface area in the insula was associated with 28-month functional outcome in first-episode psychosis. NPJ SCHIZOPHRENIA 2021; 7:56. [PMID: 34845247 PMCID: PMC8630202 DOI: 10.1038/s41537-021-00186-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 11/03/2021] [Indexed: 11/28/2022]
Abstract
Many studies have tested the relationship between demographic, clinical, and psychobiological measurements and clinical outcomes in ultra-high risk for psychosis (UHR) and first-episode psychosis (FEP). However, no study has investigated the relationship between multi-modal measurements and long-term outcomes for >2 years. Thirty-eight individuals with UHR and 29 patients with FEP were measured using one or more modalities (cognitive battery, electrophysiological response, structural magnetic resonance imaging, and functional near-infrared spectroscopy). We explored the characteristics associated with 13- and 28-month clinical outcomes. In UHR, the cortical surface area in the left orbital part of the inferior frontal gyrus was negatively associated with 13-month disorganized symptoms. In FEP, the cortical surface area in the left insula was positively associated with 28-month global social function. The left inferior frontal gyrus and insula are well-known structural brain characteristics in schizophrenia, and future studies on the pathological mechanism of structural alteration would provide a clearer understanding of the disease.
Collapse
|
5
|
Kim S, Baek JH, Shim SH, Kwon YJ, Lee HY, Yoo JH, Kim JS. Mismatch negativity indices and functional outcomes in unipolar and bipolar depression. Sci Rep 2020; 10:12831. [PMID: 32732996 PMCID: PMC7393365 DOI: 10.1038/s41598-020-69776-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 07/17/2020] [Indexed: 01/12/2023] Open
Abstract
The aim of the study was to explore the association between functional outcomes and mismatch negativity (MMN) activity in participants with mood disorders. The study participants were 27 subjects with major depressive disorder (MDD), 29 subjects with bipolar disorder (BD), and 33 healthy controls who performed a passive auditory oddball paradigm while electroencephalography (EEG) was recorded. Peak amplitudes and source activity of the MMN were compared across groups. Mood and anxiety symptoms were evaluated. The functional levels were the lowest in the BD group, followed by the MDD and healthy control groups. The subjects with BD had significantly lower MMN amplitudes at the frontal and frontocentral electrodes than the healthy controls. The source activity of the MMN from the left anterior cingulate cortex, inferior frontal gyrus, and middle frontal gyrus was significantly increased in the BD group compared to the MDD group. Significant correlations were detected between the functional outcomes and MMN amplitudes at frontal and frontocentral sites. The functional outcome was significantly correlated with left frontal regions. In conclusion, MMN activity appears to be a promising candidate as an evaluation tool for functional outcomes in mood disorders.
Collapse
Affiliation(s)
- Sungkean Kim
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32611, USA
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea
| | - Se-Hoon Shim
- Department of Psychiatry, College of Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, 31151, Republic of Korea
| | - Young Joon Kwon
- Department of Psychiatry, College of Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, 31151, Republic of Korea
| | - Hwa Young Lee
- Department of Psychiatry, College of Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, 31151, Republic of Korea
| | - Jae Hyun Yoo
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ji Sun Kim
- Department of Psychiatry, College of Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, 31151, Republic of Korea.
| |
Collapse
|
6
|
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.
Collapse
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
| |
Collapse
|
7
|
Koike S, Barnett J, Jones PB, Richards M. Cognitive profiles in childhood and adolescence differ between adult psychotic and affective symptoms: a prospective birth cohort study. Psychol Med 2018; 48:11-22. [PMID: 28988550 PMCID: PMC5729848 DOI: 10.1017/s0033291717000393] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 01/25/2017] [Accepted: 01/26/2017] [Indexed: 11/06/2022]
Abstract
BACKGROUND Differences between verbal and non-verbal cognitive development from childhood to adulthood may differentiate between those with and without psychotic symptoms and affective symptoms in later life. However, there has been no study exploring this in a population-based cohort. METHOD The sample was drawn from the MRC National Survey of Health and Development, and consisted of 2384 study members with self-reported psychotic experiences and affective symptoms at the age of 53 years, and with complete cognitive data at the ages of 8 and 15 years. The association between verbal and non-verbal cognition at age 8 years and relative developmental lag from age 8 to 15 years, and both adult outcomes were tested with the covariates adjusted, and mutually adjusted for verbal and non-verbal cognition. RESULTS Those with psychotic experiences [thought interference (n = 433), strange experience (n = 296), hallucination (n = 88)] had lower cognition at both the ages of 8 and 15 years in both verbal and non-verbal domains. After mutual adjustment, lower verbal cognition at age 8 years and greater verbal developmental lag were associated with higher likelihood of psychotic experiences within individuals, whereas there was no association between non-verbal cognition and any psychotic experience. In contrast, those with case-level affective symptoms (n = 453) had lower non-verbal cognition at age 15 years, and greater developmental lag in the non-verbal domain. After adjustment, lower non-verbal cognition at age 8 years and greater non-verbal developmental lag were associated with higher risk of case-level affective symptoms within individuals. CONCLUSIONS These results suggest that cognitive profiles in childhood and adolescence differentiate psychiatric disease spectra.
Collapse
Affiliation(s)
- S. Koike
- MRC Unit for Lifelong Health and Ageing at
UCL, 33 Bedford Place, London WC1B 5JU,
UK
- University of Tokyo Institute for Diversity
& Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba,
Meguro-ku, Tokyo 153-8902, Japan
- Center for Evolutionary Cognitive
Sciences, Graduate School of Arts and Sciences, The University of
Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902,
Japan
| | - J. Barnett
- Department of Psychiatry,
University of Cambridge, Cambridge CB2
0SZ, UK
- Cambridge Cognition Ltd,
Cambridge CB25 9TU, UK
| | - P. B. Jones
- Department of Psychiatry,
University of Cambridge, Cambridge CB2
0SZ, UK
- CAMEO, Cambridgeshire & Peterborough NHS
Foundation Trust, Cambridge CB21 5EF,
UK
| | - M. Richards
- MRC Unit for Lifelong Health and Ageing at
UCL, 33 Bedford Place, London WC1B 5JU,
UK
| |
Collapse
|
8
|
Dravida S, Noah JA, Zhang X, Hirsch J. Comparison of oxyhemoglobin and deoxyhemoglobin signal reliability with and without global mean removal for digit manipulation motor tasks. NEUROPHOTONICS 2018; 5:011006. [PMID: 28924566 PMCID: PMC5597778 DOI: 10.1117/1.nph.5.1.011006] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 08/21/2017] [Indexed: 05/06/2023]
Abstract
Functional near-infrared spectroscopy (fNIRS) could be well suited for clinical use, such as measuring neural activity before and after treatment; however, reliability and specificity of fNIRS signals must be ensured so that differences can be attributed to the intervention. This study compared the test-retest and longitudinal reliability of oxyhemoglobin and deoxyhemoglobin signals before and after spatial filtering. In the test-retest experiment, 14 participants were scanned on 2 days while performing four right-handed digit-manipulation tasks. Group results revealed greater test-retest reliability for oxyhemoglobin than deoxyhemoglobin signals and greater spatial specificity for the deoxyhemoglobin signals. To further characterize reliability, a longitudinal experiment was conducted in which two participants repeated the same motor tasks for 10 days. Beta values from the two tasks with the lowest and highest test-retest reliability, respectively, in the spatially filtered deoxyhemoglobin signal are reported as representative findings. Both test-retest and longitudinal methods confirmed that task and signal type influence reliability. Oxyhemoglobin signals were more reliable overall than deoxyhemoglobin, and removal of the global mean reduced reliability of both signals. Findings are consistent with the suggestion that systemic components most prevalent in the oxyhemoglobin signal may inflate reliability relative to the deoxyhemoglobin signal, which is less influenced by systemic factors.
Collapse
Affiliation(s)
- Swethasri Dravida
- Yale School of Medicine, Interdepartmental Neuroscience Program, New Haven, Connecticut, United States
| | - Jack Adam Noah
- Yale School of Medicine, Department of Psychiatry, New Haven, Connecticut, United States
| | - Xian Zhang
- Yale School of Medicine, Department of Psychiatry, New Haven, Connecticut, United States
| | - Joy Hirsch
- Yale School of Medicine, Department of Psychiatry, New Haven, Connecticut, United States
- Yale School of Medicine, Department of Neuroscience, New Haven, Connecticut, United States
- Yale School of Medicine, Department of Comparative Medicine, New Haven, Connecticut, United States
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
- Address all correspondence to: Joy Hirsch, E-mail:
| |
Collapse
|
9
|
Koike S, Satomura Y, Kawasaki S, Nishimura Y, Kinoshita A, Sakurada H, Yamagishi M, Ichikawa E, Matsuoka J, Okada N, Takizawa R, Kasai K. Application of functional near infrared spectroscopy as supplementary examination for diagnosis of clinical stages of psychosis spectrum. Psychiatry Clin Neurosci 2017; 71:794-806. [PMID: 28692185 DOI: 10.1111/pcn.12551] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 06/28/2017] [Accepted: 07/05/2017] [Indexed: 12/18/2022]
Abstract
AIM Research efforts aiming at neuroimaging-aided differential diagnosis for psychiatric disorders have been progressing rapidly. A previous multisite study has developed a supplementary diagnostic system using functional near-infrared spectroscopy (fNIRS) that can be easily applied to clinical settings. However, few neuroimaging biomarkers have been developed for the psychosis spectrum with various clinical stages. METHODS We employed the fNIRS as a clinical examination device for 143 participants, comprising 47 ultra-high risk for psychosis (UHR) individuals, 30 patients with first-episode psychosis (FEP), 34 patients with chronic schizophrenia (ChSZ), and 33 healthy controls, who were independent of the previous study. A 12-month follow-up measurement was also carried out on 34 UHR individuals (72%), 21 patients with FEP (70%), and 33 controls. The fNIRS algorithm variables used for classification were the intensity and timing of prefrontal activation following the start of the cognitive task as used in the previous multisite study. RESULTS The discrimination rate by timing of activation was modest but it became acceptable after adjusting confounding factors. Discrimination by intensity of activation was not improved by similar adjustment. A total of 63.8%, 86.7%, and 81.3% patients were classified as UHR, FEP, and ChSZ, respectively; and 85.1%, 86.7%, and 71.9% of patients in these groups, respectively, were classified as being on the psychosis spectrum. In the follow-up measurement, 88.2% of individuals with UHR and 95.0% of patients with FEP were successfully classified into the psychosis spectrum group. CONCLUSION The fNIRS for supplementary clinical examination could be validly applied to differentiating people with the psychosis spectrum in various clinical stages. The fNIRS is a candidate biological marker for aiding diagnosis of psychosis spectrum in routine clinical settings.
Collapse
Affiliation(s)
- Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo.,University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM).,Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo
| | - Yoshihiro Satomura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Shingo Kawasaki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo.,Application Development Office, Hitachi Medical Corporation, Chiba, Japan
| | - Yukika Nishimura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Akihide Kinoshita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Hanako Sakurada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Mika Yamagishi
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Eriko Ichikawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Jun Matsuoka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Ryu Takizawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo
| |
Collapse
|
10
|
Itakura M, Pu S, Ohdachi H, Matsumura H, Yokoyama K, Nagata I, Iwata M, Kaneko K. Association between social functioning and prefrontal cortex function during a verbal fluency task in schizophrenia: A near-infrared spectroscopic study. Psychiatry Clin Neurosci 2017; 71:769-779. [PMID: 28657683 DOI: 10.1111/pcn.12548] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 05/19/2017] [Accepted: 06/20/2017] [Indexed: 01/14/2023]
Abstract
AIM Impaired social functioning is a common characteristic of patients with schizophrenia. Social functioning requires the complex operation of various executive functions. Deficits in the prefrontal cortex (PFC) have been implicated in executive dysfunction. Here we aimed to clarify the relation between subjectively and objectively assessed social functioning, and their associations with PFC function in patients with schizophrenia. METHODS Twenty-three patients and 22 age- and sex-matched healthy controls (HC) were assessed. In the schizophrenia group, self- and caregiver-rated social functioning were measured using the Specific Level of Functioning Assessment (SLOF). The hemodynamic responses elicited by a verbal fluency task (VFT) in three regions of interest in the frontotemporal area were measured using multi-channel near-infrared spectroscopy (NIRS). We also investigated psychiatric symptoms, neurocognition, and cognitive insight to assess possible confounding factors. RESULTS Significant positive correlations were found between self- and caregiver-rated SLOF composite scores and three subdomain scores. Self- and caregiver-rated SLOF composite scores were significantly associated with dorsolateral PFC and frontopolar cortex (DLPFC/FPC) activation during the VFT. Psychiatric symptoms, global functioning, neurocognition, and cognitive insight were not associated with NIRS signals. General psychopathology was associated with NIRS signals in the ventrolateral PFC and the anterior temporal cortex. DLPFC and FPC activity may be associated with social functioning in patients with schizophrenia. CONCLUSION Our results suggest that the two distinct assessments of social functioning were significantly correlated. Moreover, DLPFC and FPC function was strongly associated with social functioning and the ability to carry out daily life in patients with schizophrenia.
Collapse
Affiliation(s)
- Masashi Itakura
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan.,Department of Psychiatry, Shimane Prefectural Psychiatric Medical Center, Izumo, Japan
| | - Shenghong Pu
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan
| | - Hiroaki Ohdachi
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan
| | - Hiroshi Matsumura
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan
| | - Katsutoshi Yokoyama
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan
| | - Izumi Nagata
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan
| | - Masaaki Iwata
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan
| | - Koichi Kaneko
- Division of Psychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine, Yonago, Japan
| |
Collapse
|