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Woo YS, Lee KU, Hahn C, McIntyre RS, Teopiz KM, Bahk WM. Psychometric Properties of the Korean Version of THINC-integrated Tool (THINC-it-K): A Tool for Screening Assessment of Cognitive Function in Patients with Major Depressive Disorder. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2024; 22:458-465. [PMID: 39069685 PMCID: PMC11289603 DOI: 10.9758/cpn.23.1135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 10/25/2023] [Indexed: 07/30/2024]
Abstract
Objective : The present study was performed to investigate the validity and reliability of the Korean version of the THINC-it tool (THINC-it-K) in adult patients with major depressive disorder (MDD). Methods : Subjects aged 19-65 years with recurrent MDD experiencing moderate to severe major depressive episode (n = 44) were evaluated and compared to age and sex matched healthy controls (n = 44). Subjects completed the THINC-it-K which includes variants of the Identification Task (IDN) using Choice Reaction Time, One-Back Test, Digit Symbol Substitution Test, Trail Making Test-Part B, and the Perceived Deficits Questionnaire for Depression-5-item (PDQ-5-D). Results : A total of 75.0% of patients with MDD exhibited cognitive performance 1 standard deviation or below. The differences in Spotter (p = 0.001), Codebreaker (p = 0.001), PDQ-5-D (p < 0.001) and objective THINC-it-K composite score (p = 0.002) were significant between the two groups. Concurrent validity of the THINC-it-K based on a calculated composite score was good (r = 0.856, p < 0.001), and ranges for each component tests were from 0.076 (IDN) to 0.928 (PDQ-5-D). Conclusion : The THINC-it-K exhibits good reliability and validity in adults with MDD. It could be a useful tool for the measurement of cognitive deficits in persons with MDD and should be implemented in clinical practice.
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Affiliation(s)
- Young Sup Woo
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyoung-Uk Lee
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Changtae Hahn
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Roger S. McIntyre
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Kayla M. Teopiz
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Won-Myong Bahk
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Zhao H, Jiang C, Zhao M, Ye Y, Yu L, Li Y, Luan H, Zhang S, Xu P, Chen X, Pan F, Shang D, Hu X, Jin K, Chen J, Mou T, Hu S, Fitzgibbon BM, Fitzgerald PB, Cash RFH, Che X, Huang M. Comparisons of Accelerated Continuous and Intermittent Theta Burst Stimulation for Treatment-Resistant Depression and Suicidal Ideation. Biol Psychiatry 2024; 96:26-33. [PMID: 38142717 DOI: 10.1016/j.biopsych.2023.12.013] [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: 06/29/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND Suicidal ideation is a substantial clinical challenge in treatment-resistant depression (TRD). Recent work demonstrated promising antidepressant effects in TRD patients with no or mild suicidal ideation using a specific protocol termed intermittent theta burst stimulation (iTBS). Here, we examined the clinical effects of accelerated schedules of iTBS and continuous TBS (cTBS) in patients with moderate to severe suicidal ideation. METHODS Patients with TRD and moderate to severe suicidal ideation (n = 44) were randomly assigned to receive accelerated iTBS or cTBS treatment. Treatments were delivered in 10 daily TBS sessions (1800 pulses/session) for 5 consecutive days (total of 90,000 pulses). Neuronavigation was employed to target accelerated iTBS and cTBS to the left and right dorsolateral prefrontal cortex (DLPFC), respectively. Clinical outcomes were evaluated in a 4-week follow-up period. RESULTS Accelerated cTBS was superior to iTBS in the management of suicidal ideation (pweek 1 = .027) and anxiety symptoms (pweek 1 = .01). Accelerated iTBS and cTBS were comparable in antidepressant effects (p < .001; accelerated cTBS: mean change at weeks 1, 3, 5 = 49.55%, 54.99%, 53.11%; accelerated iTBS: mean change at weeks 1, 3, 5 = 44.52%, 48.04%, 51.74%). No serious adverse events occurred during the trial. One patient withdrew due to hypomania. The most common adverse event was discomfort at the treatment site (22.73% in both groups). CONCLUSIONS These findings provide the first evidence that accelerated schedules of left DLPFC iTBS and right DLPFC cTBS are comparably effective in managing antidepressant symptoms and indicate that right DLPFC cTBS is potentially superior in reducing suicidal ideation and anxiety symptoms.
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Affiliation(s)
- Haoyang Zhao
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Chaonan Jiang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Miaomiao Zhao
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Yang Ye
- Centre for Cognition and Brain Disorders, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China; TMS Centre, Deqing Hospital of Hangzhou Normal University, Hangzhou, China
| | - Liang Yu
- Department of Anesthesiology and Pain, Hang Zhou First People's Hospital, Hangzhou, China
| | - Ying Li
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Honglin Luan
- Department of Psychiatry, Wen Zhou Seventh People's Hospital, Wenzhou, China
| | - Shiyi Zhang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Pengfeng Xu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Xuanqiang Chen
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Fen Pan
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Desheng Shang
- Department of Radiology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaohan Hu
- Department of Psychiatry, Wen Zhou Seventh People's Hospital, Wenzhou, China
| | - Kangyu Jin
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Jingkai Chen
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Tingting Mou
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Shaohua Hu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Bernadette M Fitzgibbon
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; School of Medicine and Psychology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Robin F H Cash
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia; Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia
| | - Xianwei Che
- Centre for Cognition and Brain Disorders, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China; TMS Centre, Deqing Hospital of Hangzhou Normal University, Hangzhou, China.
| | - Manli Huang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China.
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Zhang X, Yang D, Luo J, Meng M, Chen S, Li X, Yin Y, Hao Y, Sun C. Determinants of sedentary behavior in community-dwelling older adults with type 2 diabetes based on the behavioral change wheel: a path analysis. BMC Geriatr 2024; 24:502. [PMID: 38844849 PMCID: PMC11157943 DOI: 10.1186/s12877-024-05076-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 05/14/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Sedentary behavior (SB) is deeply ingrained in the daily lives of community-dwelling older adults with type 2 diabetes mellitus (T2DM). However, the specific underlying mechanisms of the determinants associated with SB remain elusive. We aimed to explore the determinants of SB based on the behavior change wheel framework as well as a literature review. METHODS This cross-sectional study recruited 489 community-dwelling older adults with T2DM in Jinan City, Shandong Province, China. Convenience sampling was used to select participants from relevant communities. This study used the Measure of Older Adults' Sedentary Time-T2DM, the Abbreviated-Neighborhood Environment Walkability Scale, the Social Support Rating Scale, the Lubben Social Network Scale 6, the Subjective Social Norms Questionnaire for Sedentary Behavior, the Functional Activities Questionnaire, the Numerical Rating Scale, the Short Physical Performance Battery, and the Montreal Cognitive Assessment Text to assess the levels of and the determinants of SB. Descriptive statistical analysis and path analysis were conducted to analyze and interpret the data. RESULTS Pain, cognitive function, social isolation, and social support had direct and indirect effects on SB in community-dwelling older adults with T2DM (total effects: β = 0.426, β = -0.171, β = -0.209, and β = -0.128, respectively), and physical function, walking environment, and social function had direct effects on patients' SB (total effects: β = -0.180, β = -0.163, and β = 0.127, respectively). All the above pathways were statistically significant (P < 0.05). The path analysis showed that the model had acceptable fit indices: RMSEA = 0.014, χ 2/df = 1.100, GFI = 0.999, AGFI = 0.980, NFI = 0.997, RFI = 0.954, IFI = 1.000, TLI = 0.996, CFI = 1.000. CONCLUSION Capability (physical function, pain, and cognitive function), opportunity (social isolation, walking environment, and social support), and motivation (social function) were effective predictors of SB in community-dwelling older adults with T2DM. Deeper knowledge regarding these associations may help healthcare providers design targeted intervention strategies to decrease levels of SB in this specific population.
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Affiliation(s)
- Xiaoyan Zhang
- Department of Vascular Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Dan Yang
- School of Nursing, Beijing University of Chinese Medicine, No. 11, Beisanhuandonglu, Chaoyang District, Beijing, People's Republic of China
| | - Jiayin Luo
- Department of Vascular Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Meiqi Meng
- School of Nursing, Beijing University of Chinese Medicine, No. 11, Beisanhuandonglu, Chaoyang District, Beijing, People's Republic of China
| | - Sihan Chen
- School of Nursing, Beijing University of Chinese Medicine, No. 11, Beisanhuandonglu, Chaoyang District, Beijing, People's Republic of China
| | - Xuejing Li
- School of Nursing, Beijing University of Chinese Medicine, No. 11, Beisanhuandonglu, Chaoyang District, Beijing, People's Republic of China
| | - Yiyi Yin
- School of Nursing, Beijing University of Chinese Medicine, No. 11, Beisanhuandonglu, Chaoyang District, Beijing, People's Republic of China
| | - Yufang Hao
- School of Nursing, Beijing University of Chinese Medicine, No. 11, Beisanhuandonglu, Chaoyang District, Beijing, People's Republic of China.
| | - Chao Sun
- Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China.
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Wang Q, Wen M, Fan S, Liu J, Wang X, Guo W, Hu J, Zhang J, Li B, Zhang L, Zhang Y, Li K. Attention-Dominated Cognitive Dysfunction May Be a Biological Marker for Distinguishing SA from SI in Adolescents: A Network Analysis Study Based on Adolescent Depression. Psychol Res Behav Manag 2024; 17:945-956. [PMID: 38464812 PMCID: PMC10924855 DOI: 10.2147/prbm.s448904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/27/2024] [Indexed: 03/12/2024] Open
Abstract
OBJECTIVE Suicidal behavior is strongly correlated with depressive symptoms and the degree of suicidal ideation. Cognitive impairment may have varying degrees of influence on suicidal ideation (SI) and suicidal attempts (SA). The aim of this study was to identify the cognitive biomarkers that distinguish suicidal ideation from suicidal attempts in adolescents. METHODS The cross-sectional sample comprised 54 adolescents with major depressive disorder (MDD) and 32 healthy controls (HC). The THINC-it was utilized to assess cognitive function of all the samples. Suicidal ideation was examined by the Positive and Negative Suicide Ideation Scale (PANSI). Based on the type of data, one-way ANOVA or Kruskal-Wallis was performed to investigate group differences. Bonferroni post-hoc analysis was employed for regulating type I error for pairwise comparisons. Network analysis was used to compare the networks associated with suicidal ideation, depression symptoms, and cognitive function between SA and SI. RESULTS The depression symptoms (HAMD-17) (F=72.515, P<0.001) and suicidal ideation (PANSI) (F=267.952, P<0.001) in the SA were higher than those in the SI. Analysis of between-group differences showed SA performed worse in THINC-it, especially in "Spotter (SP)" (P=0.033), "Objective cognition score (OS)" (P=0.027) and "Composite score (CS)" (P=0.017). Compared with SI, network analysis revealed that SA had a unique network of cognitive function, depressive symptoms, and suicidal ideation. Nevertheless, both networks exhibit comparable performance concerning the node strength of cognitive function. Within their separate networks, the aspects of CS, OS, and SP have emerged as the three most crucial elements. CONCLUSION Adolescents with SI or SA exhibit a broad spectrum of cognitive impairments. Attention impairment can be beneficial in discerning between SI and SA. Future interventions for adolescent suicide can center on attention and the comprehensive cognitive ability that it represents.
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Affiliation(s)
- Qi Wang
- Clinical Medicine College, Hebei University, Hebei, People’s Republic of China
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
| | - Min Wen
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of China
| | - Shaohang Fan
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
- School of Psychology and Mental Health, North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Jinning Liu
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
| | - Xiaowen Wang
- Psychosomatic Medicine Department, Jiangxi Provincial People’s Hospital, Nanchang, People’s Republic of China
| | - Wentao Guo
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
| | - Jinyun Hu
- Psychiatric Department, The Second People’s Hospital of Yuxi, Yunnan, People’s Republic of China
| | - Jialan Zhang
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
| | - Bing Li
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Hebei, People’s Republic of China
| | - Lili Zhang
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Hebei, People’s Republic of China
| | - Yunshu Zhang
- Clinical Medicine College, Hebei University, Hebei, People’s Republic of China
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Hebei, People’s Republic of China
| | - Keqing Li
- Hebei Provincial Mental Health Center, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Hebei, People’s Republic of China
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Szmyd JK, Lewczuk K, Teopiz KM, McIntyre RS, Wichniak A. THINC-Integrated Tool (THINC-it): A Brief Measurement of Changes in Cognitive Functioning and Its Correlation with the Life Quality of Patients with Schizophrenia and Related Disorders-A Pilot Study. Brain Sci 2023; 13:brainsci13030389. [PMID: 36979199 PMCID: PMC10046273 DOI: 10.3390/brainsci13030389] [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: 12/20/2022] [Revised: 01/30/2023] [Accepted: 02/22/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND This pilot study aimed to assess patients' cognitive functioning with the Polish version of the THINC-it tool and to analyze its association with self-reported quality of life (QOL). METHODS Twenty-one patients (mean age: 37.8 ± 10.4) were assessed at baseline and after six weeks of a standard therapeutic outpatient program. Participants completed the World Health Organization QOL Questionnaire (WHOQOL-BREF) and the THINC-it tool at both visits. The tool consists of tasks evaluating working memory (SYMBOL CHECK), attention (SPOTTER), executive functions (TRIALS), and cognitive skills (CODEBREAKER). RESULTS During the second visit, patients showed significant improvements in mean latency of correct responses of SPOTTER: p = 0.021, Cohen's d = 0.38 and in the Physical health domain: p = 0.007, Cohen's d = 0.37. The number of correct responses for CODEBREAKER was positively associated with the Physical health domain at visit 1 (r = 0.53, p = 0.014) and visit 2 (r = 0.42, p = 0.058). The number of correct responses at SYMBOL CHECK was positively related to QOL in the Environment domain only at visit 2 (r = 0.45, p = 0.042). CONCLUSIONS These results suggest the THINC-it tool has utility as a cognitive measure in adults with schizophrenia in both clinical and research settings.
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Affiliation(s)
- Joanna K Szmyd
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Jana III Sobieskiego 9, 02-957 Warsaw, Poland
| | - Karol Lewczuk
- Institute of Psychology, Cardinal Stefan Wyszynski University, Dewajtis 5, 01-815 Warsaw, Poland
| | - Kayla M Teopiz
- Brain and Cognition Discovery Foundation, 73 Mathersfield Drive, Toronto, ON M4W 3W4, Canada
| | - Roger S McIntyre
- Brain and Cognition Discovery Foundation, 73 Mathersfield Drive, Toronto, ON M4W 3W4, Canada
- Department of Psychiatry, University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada
- Department of Pharmacology, University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada
| | - Adam Wichniak
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Jana III Sobieskiego 9, 02-957 Warsaw, Poland
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