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Chang Z, Liu L, Lin L, Wang G, Zhang C, Tian H, Liu W, Wang L, Zhang B, Ren J, Zhang Y, Xie Y, Du X, Wei X, Wei L, Luo Y, Dong H, Li X, Zhao Z, Liang M, Zhang C, Wang X, Yu C, Qin W, Liu H. Selective disrupted gray matter volume covariance of amygdala subregions in schizophrenia. Front Psychiatry 2024; 15:1349989. [PMID: 38742128 PMCID: PMC11090100 DOI: 10.3389/fpsyt.2024.1349989] [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: 12/05/2023] [Accepted: 04/11/2024] [Indexed: 05/16/2024] Open
Abstract
Objective Although extensive structural and functional abnormalities have been reported in schizophrenia, the gray matter volume (GMV) covariance of the amygdala remain unknown. The amygdala contains several subregions with different connection patterns and functions, but it is unclear whether the GMV covariance of these subregions are selectively affected in schizophrenia. Methods To address this issue, we compared the GMV covariance of each amygdala subregion between 807 schizophrenia patients and 845 healthy controls from 11 centers. The amygdala was segmented into nine subregions using FreeSurfer (v7.1.1), including the lateral (La), basal (Ba), accessory-basal (AB), anterior-amygdaloid-area (AAA), central (Ce), medial (Me), cortical (Co), corticoamygdaloid-transition (CAT), and paralaminar (PL) nucleus. We developed an operational combat harmonization model for 11 centers, subsequently employing a voxel-wise general linear model to investigate the differences in GMV covariance between schizophrenia patients and healthy controls across these subregions and the entire brain, while adjusting for age, sex and TIV. Results Our findings revealed that five amygdala subregions of schizophrenia patients, including bilateral AAA, CAT, and right Ba, demonstrated significantly increased GMV covariance with the hippocampus, striatum, orbitofrontal cortex, and so on (permutation test, P< 0.05, corrected). These findings could be replicated in most centers. Rigorous correlation analysis failed to identify relationships between the altered GMV covariance with positive and negative symptom scale, duration of illness, and antipsychotic medication measure. Conclusion Our research is the first to discover selectively impaired GMV covariance patterns of amygdala subregion in a large multicenter sample size of patients with schizophrenia.
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Affiliation(s)
- Zhongyu Chang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Liping Liu
- Department of Psychiatry, The First Psychiatric Hospital of Harbin, Harbin, Heilongjiang, China
| | - Liyuan Lin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Gang Wang
- Wuhan Mental Health Center, The Ninth Clinical School, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chen Zhang
- Department of Biochemistry and Psychopharmacology, Shanghai Mental Health Center, Shanghai, China
| | - Hongjun Tian
- Department of Psychiatry, Tianjin Fourth Center Hospital, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Wei Liu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lina Wang
- Department of Psychiatry, Tianjin Fourth Center Hospital, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Bin Zhang
- Department of Psychiatry, Tianjin Fourth Center Hospital, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Juanjuan Ren
- Department of Biochemistry and Psychopharmacology, Shanghai Mental Health Center, Shanghai, China
| | - Yu Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yingying Xie
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaotong Du
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaotong Wei
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Luli Wei
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yun Luo
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Haoyang Dong
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Xin Li
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhen Zhao
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Liang
- School of Medical Imaging, Tianjin Medical University, Tianjin, China
| | - Congpei Zhang
- Department of Psychiatry, The First Psychiatric Hospital of Harbin, Harbin, Heilongjiang, China
| | - Xijin Wang
- Department of Psychiatry, The First Psychiatric Hospital of Harbin, Harbin, Heilongjiang, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- School of Medical Imaging, Tianjin Medical University, Tianjin, China
- State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Huaigui Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
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Rao PS, Rangaswamy M, Evans J, Dutt A. Prospective memory in early and established psychosis: An Indian perspective. J Neuropsychol 2023; 17:461-476. [PMID: 37070648 DOI: 10.1111/jnp.12314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 03/12/2023] [Accepted: 03/23/2023] [Indexed: 04/19/2023]
Abstract
Individuals affected by psychosis often have deficits in several neurocognitive functions. Prospective memory (PM), the ability to remember to do things, is crucial for activities of daily living, social and occupational functioning, but very few studies have attempted to examine this domain of functioning in people with psychosis, particularly in India. A total of 71 patients with psychosis, (both early and established psychosis), and 140 age, gender and education-matched healthy controls were assessed using the Positive and Negative Symptom Scale, Hospital Anxiety and Depression scale, and Addenbrooke's Cognitive Examination. PM was assessed using the Cambridge Prospective Memory Test and the Prospective and Retrospective Memory Questionnaire (PRMQ). Group differences were evaluated using Mann-Whitney U-tests. Significantly greater cognitive deficits, higher anxiety and depression were evident in the psychosis group compared with controls. The psychosis group performed significantly poorer on both time- and event-based tests in CAMPROMPT than controls. These differences remained when controlling for age, education, general cognitive functioning and mood. The subjective measure of PM (PRMQ) did not differentiate the two groups. The PM performance of early and established psychosis patients was similar. Comparisons with cross-cultural data (PRMQ UK norms and CAMPROMPT and PRMQ Chinese data) revealed important differences in PM performance. Individuals with psychosis have significant deficits in both time- and event-based PM. CAMPROMPT emerged as a more sensitive PM measure compared with PRMQ. Results from cross-cultural comparisons underscore the need for cultural contextualization of assessments.
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Affiliation(s)
- Pulijala Sulakshana Rao
- Department of Psychology, Christ University, Bangalore, Karnataka, 560029, India
- Duttanagar Mental Health Centre, Kolkata, 700077, India
| | - Madhavi Rangaswamy
- Department of Psychology, Christ University, Bangalore, Karnataka, 560029, India
| | - Jonathan Evans
- Department of Psychology, Christ University, Bangalore, Karnataka, 560029, India
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Anirban Dutt
- Department of Psychology, Christ University, Bangalore, Karnataka, 560029, India
- Duttanagar Mental Health Centre, Kolkata, 700077, India
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Hidese S, Matsuo J, Ishida I, Yokota Y, Ota M, Hattori K, Kunugi H. Relationship between Interpersonal Sensitivity Measure score and clinical symptoms in patients with major psychiatric disorders and healthy individuals. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2022; 1:e18. [PMID: 38868634 PMCID: PMC11114436 DOI: 10.1002/pcn5.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 06/14/2024]
Abstract
Aim We compared the Interpersonal Sensitivity Measure (IPSM) scores between diagnostic groups and examined the relationship between IPSM scores and clinical variables. Methods This study included 166 patients with schizophrenia, 47 patients with bipolar disorder (BD) Ⅰ, 110 patients with BD Ⅱ, 380 patients with major depressive disorder (MDD), and 558 healthy individuals. Symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS), Young Mania Rating Scale, 21-item Hamilton Depression Rating Scale (HAMD-21), and Pittsburgh Sleep Quality Index (PSQI). Results The IPSM interpersonal awareness, separation anxiety, timidity, fragile inner self, and total scores were significantly higher in all the patient groups compared with healthy individuals (corrected p < 0.05). The IPSM need for approval score was significantly higher in patients with BD Ⅰ and those with BD Ⅱ than in those with schizophrenia or MDD (corrected p < 0.05). The PSQI total score and PANSS general psychopathology score, HAMD-21 delusion subscale score, HAMD-21 total score, and HAMD-21 core subscale score and PSQI sleep disturbance subscale score were significantly and positively correlated with the IPSM total score in patients with schizophrenia, those with BD Ⅰ, those with BD Ⅱ, and those with MDD, respectively, while the PSQI total score and daytime dysfunction subscale score were significantly and positively correlated with the IPSM total score in healthy individuals (corrected p < 0.05). Conclusion Our data suggest that higher interpersonal sensitivity may play a role in the development of major psychiatric disorders and may be involved in some clinical symptom formations.
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Affiliation(s)
- Shinsuke Hidese
- Department of Mental Disorder Research, National Institute of NeuroscienceNational Center of Neurology and PsychiatryKodairaJapan
- Department of PsychiatryTeikyo University School of MedicineItabashi‐kuJapan
| | - Junko Matsuo
- Department of Mental Disorder Research, National Institute of NeuroscienceNational Center of Neurology and PsychiatryKodairaJapan
- Department of Psychiatry, National Center HospitalNational Center of Neurology and PsychiatryKodairaJapan
| | - Ikki Ishida
- Department of Mental Disorder Research, National Institute of NeuroscienceNational Center of Neurology and PsychiatryKodairaJapan
- Department of PsychiatryTeikyo University School of MedicineItabashi‐kuJapan
| | - Yuuki Yokota
- Department of Mental Disorder Research, National Institute of NeuroscienceNational Center of Neurology and PsychiatryKodairaJapan
- Department of Behavioral Medicine, National Institute of Mental HealthNational Center of Neurology and PsychiatryKodairaJapan
| | - Miho Ota
- Department of Mental Disorder Research, National Institute of NeuroscienceNational Center of Neurology and PsychiatryKodairaJapan
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of MedicineUniversity of TsukubaTsukubaJapan
| | - Kotaro Hattori
- Department of Mental Disorder Research, National Institute of NeuroscienceNational Center of Neurology and PsychiatryKodairaJapan
- Medical Genome CenterNational Center of Neurology and PsychiatryKodairaJapan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of NeuroscienceNational Center of Neurology and PsychiatryKodairaJapan
- Department of PsychiatryTeikyo University School of MedicineItabashi‐kuJapan
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Demnitz-King H, Göehre I, Marchant NL. The neuroanatomical correlates of repetitive negative thinking: A systematic review. Psychiatry Res Neuroimaging 2021; 316:111353. [PMID: 34390952 DOI: 10.1016/j.pscychresns.2021.111353] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 07/30/2021] [Accepted: 07/30/2021] [Indexed: 12/18/2022]
Abstract
Repetitive negative thinking (RNT) is a cognitive process characterised by intrusive, repetitive, and difficult-to-disengage-from negative thoughts. Heightened RNT levels are prevalent across clinical disorders and have been associated with ill-health (e.g. cardiovascular disease), even at lower, non-clinical levels. Identifying the neuroanatomical correlates of RNT could help characterise structural alterations that transcend diagnostic boundaries and further understanding of the pathogenesis of clinical disorders. We therefore conducted a systematic review to investigate associations between RNT and brain morphology. Following title/abstract and full-text screening, 24 studies were included. We found evidence that RNT severity is associated with grey and white matter volumes/microstructure, particularly in the dorsolateral prefrontal cortex, anterior cingulate cortex and superior longitudinal fasciculus, regions heavily implicated in cognitive control, and emotional processing and regulation. However, inconsistent associations, potentially due to the heterogeneity of included studies (e.g. methodological differences, type of RNT assessed), preclude specific conclusions being reached regarding any one region's association with RNT. Further, given the defuse nature of thoughts, it may be that RNT is associated with distributed brain regions operating within large-scale networks, rather than with a single structure. High quality longitudinal studies, investigating structural networks, are required to confirm the neuroanatomical basis of RNT and elucidate the direction of relationships.
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Affiliation(s)
- Harriet Demnitz-King
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom.
| | - Isabelle Göehre
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom; Division of Clinical Psychology and Psychological Treatment, Department of Psychology, Ludwig-Maximilians-University Munich, Leopoldstr. 13, 80802, Munich, Germany
| | - Natalie L Marchant
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom
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