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常 鑫, 杨 智, 唐 英, 孙 小, 罗 程, 尧 德. [Illness duration-related developmental trajectory of progressive cerebral gray matter changes in schizophrenia]. SHENG WU YI XUE GONG CHENG XUE ZA ZHI = JOURNAL OF BIOMEDICAL ENGINEERING = SHENGWU YIXUE GONGCHENGXUE ZAZHI 2025; 42:293-299. [PMID: 40288971 PMCID: PMC12035638 DOI: 10.7507/1001-5515.202401053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/01/2024] [Indexed: 04/29/2025]
Abstract
In different stages of schizophrenia (SZ), alterations in gray matter volume (GMV) of patients are normally regulated by various pathological mechanisms. Instead of analyzing stage-specific changes, this study employed a multivariate structural covariance model and sliding-window approach to investigate the illness duration-related developmental trajectory of GMV in SZ. The trajectory is defined as a sequence of brain regions activated by illness duration, represented as a sparsely directed matrix. By applying this approach to structural magnetic resonance imaging data from 145 patients with SZ, we observed a continuous developmental trajectory of GMV from cortical to subcortical regions, with an average change occurring every 0.208 years, covering a time window of 20.176 years. The starting points were widely distributed across all networks, except for the ventral attention network. These findings provide insights into the neuropathological mechanism of SZ with a neuroprogressive model and facilitate the development of process for aided diagnosis and intervention with the starting points.
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Affiliation(s)
- 鑫 常
- 电子科技大学 生命科学与技术学院 神经信息教育部重点实验室 成都脑科学研究院临床医院(成都 611731)The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- 中国医学科学院 神经信息创新单元 2019RU035(成都 611731)Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu 611731, P. R. China
| | - 智欢 杨
- 电子科技大学 生命科学与技术学院 神经信息教育部重点实验室 成都脑科学研究院临床医院(成都 611731)The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- 中国医学科学院 神经信息创新单元 2019RU035(成都 611731)Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu 611731, P. R. China
| | - 英杰 唐
- 电子科技大学 生命科学与技术学院 神经信息教育部重点实验室 成都脑科学研究院临床医院(成都 611731)The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- 中国医学科学院 神经信息创新单元 2019RU035(成都 611731)Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu 611731, P. R. China
| | - 小滢 孙
- 电子科技大学 生命科学与技术学院 神经信息教育部重点实验室 成都脑科学研究院临床医院(成都 611731)The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- 中国医学科学院 神经信息创新单元 2019RU035(成都 611731)Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu 611731, P. R. China
| | - 程 罗
- 电子科技大学 生命科学与技术学院 神经信息教育部重点实验室 成都脑科学研究院临床医院(成都 611731)The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- 中国医学科学院 神经信息创新单元 2019RU035(成都 611731)Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu 611731, P. R. China
- 电子科技大学 四川省高场磁共振脑成像重点实验室(成都 611731)High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
| | - 德中 尧
- 电子科技大学 生命科学与技术学院 神经信息教育部重点实验室 成都脑科学研究院临床医院(成都 611731)The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
- 中国医学科学院 神经信息创新单元 2019RU035(成都 611731)Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu 611731, P. R. China
- 电子科技大学 四川省高场磁共振脑成像重点实验室(成都 611731)High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
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Vera-Montecinos A, Ramos B. Transcriptional Regulators in the Cerebellum in Chronic Schizophrenia: Novel Possible Targets for Pharmacological Interventions. Int J Mol Sci 2025; 26:3653. [PMID: 40332239 PMCID: PMC12026920 DOI: 10.3390/ijms26083653] [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: 02/20/2025] [Revised: 04/03/2025] [Accepted: 04/09/2025] [Indexed: 05/08/2025] Open
Abstract
Despite the emerging evidence of the role of transcriptional regulators in schizophrenia as key molecular effectors responsible for the dysregulation of multiple biological processes, limited information is available for brain areas that control higher cognitive functions, such as the cerebellum. To identify transcription factors that could control a wide panel of altered proteins in the cerebellar cortex in schizophrenia, we analyzed a dataset obtained using one-shot liquid chromatography-tandem mass spectrometry on the postmortem human cerebellar cortex in chronic schizophrenia (PXD024937 identifier in the ProteomeXchange repository). Our analysis revealed a panel of 11 enriched transcription factors (SP1, KLF7, SP4, EGR1, HNF4A, CTCF, GABPA, NRF1, NFYA, YY1, and MEF2A) that could be controlling 250 altered proteins. The top three significantly enriched transcription factors were SP1, YY1, and EGR1, and the transcription factors with the largest number of targets were SP1, KLF7, and SP4 which belong to the Krüppel superfamily. An enrichment in vesicle-mediated transport was found for SP1, KLF7, EGR1, HNF4A, CTCF, and MEF2A targets, while pathways related to signaling, inflammation/immune responses, apoptosis, and energy were found for SP1 and KLF7 targets. EGR1 targets were enriched in RNA processing, and GABPA and YY1 targets were mainly involved in organelle organization and assembly. This study provides a reduced panel of transcriptional regulators that could impact multiple pathways through the control of a number of targets in the cerebellum in chronic schizophrenia. These findings suggest that this panel of transcription factors could represent key targets for pharmacological interventions in schizophrenia.
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Affiliation(s)
- América Vera-Montecinos
- Psiquiatria Molecular, Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Dr. Antoni Pujadas 42, 08830 Sant Boi de Llobregat, Spain;
- Departamento de Ciencias Biológicas y Químicas, Facultad De Ciencias, Universidad San Sebastián, Sede Tres Pascualas Lientur 1457, Concepción 4080871, Chile
| | - Belén Ramos
- Psiquiatria Molecular, Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Dr. Antoni Pujadas 42, 08830 Sant Boi de Llobregat, Spain;
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM (Biomedical Network Research Center of Mental Health), Ministry of Economy, Industry and Competitiveness Institute of Health Carlos III, 28029 Madrid, Spain
- Faculty of Medicine, University of Vic-Central University of Catalonia, 08500 Vic, Spain
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Delorme TC, Arcego DM, Penichet D, O'Toole N, Huebener N, Silveira PP, Srivastava LK, Cermakian N. Large-scale effects of prenatal inflammation and early life circadian disruption in mice: Implications for neurodevelopmental disorders. Brain Behav Immun 2025; 127:409-422. [PMID: 40118225 DOI: 10.1016/j.bbi.2025.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2024] [Revised: 02/17/2025] [Accepted: 03/17/2025] [Indexed: 03/23/2025] Open
Abstract
Around 80 % of individuals with neurodevelopmental disorders such as schizophrenia and autism spectrum disorders experience disruptions in sleep/circadian rhythms. We explored whether environmental circadian disruption interacts with prenatal infection, a risk factor for neurodevelopmental disorders, to induce sex-specific deficits in mice. A maternal immune activation (MIA) protocol was used by injecting pregnant mice with viral mimic poly IC or saline at E9.5. Juvenile/adolescent male and female offspring (3-7 weeks old) were then subjected to a standard light:dark cycle (12:12LD) or to constant light (LL). Significant interactions between treatment (MIA, control) and lighting (12:12LD, LL) were evident in behaviors related to cognition, anxiety, and sociability. This pattern persisted in our RNA sequencing analysis of the dorsal hippocampus, where poly IC exposure resulted in numerous differentially expressed genes (DEGs) in males, while exposure to both poly IC and LL led to a marked reduction in DEGs. Through WGCNA analysis, many significant gene modules were found to be positively associated with poly IC (vs. saline) and LL (vs. LD) in males (fewer in females). Many of the identified hub-bottleneck genes were homologous to human genes associated with sleep/circadian rhythms and neurodevelopmental disorders as revealed by GWA studies. The MIA- and LL-associated modules were enriched in microglia gene signatures, which was paralleled by trends of effects of each of the factors on microglia morphology. In conclusion, in a mouse model of prenatal infection, circadian disruption induced by LL during adolescence acts as a modulator of the effects of MIA at behavioral, cellular, and molecular levels.
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Affiliation(s)
- Tara C Delorme
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada; Integrated Program in Neuroscience, McGill University, Montréal, Québec H3A 2B4, Canada
| | - Danusa M Arcego
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montréal, Québec H3A 1A1, Canada
| | - Danae Penichet
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada; Integrated Program in Neuroscience, McGill University, Montréal, Québec H3A 2B4, Canada
| | - Nicholas O'Toole
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada
| | - Nikki Huebener
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada
| | - Patrícia P Silveira
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montréal, Québec H3A 1A1, Canada
| | - Lalit K Srivastava
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montréal, Québec H3A 1A1, Canada.
| | - Nicolas Cermakian
- Douglas Mental Health University Institute, Montréal, Québec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montréal, Québec H3A 1A1, Canada.
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Biondi M, Marino M, Mantini D, Spironelli C. Brain Structural Alterations Underlying Mood-Related Deficits in Schizophrenia. Biomedicines 2025; 13:736. [PMID: 40149712 PMCID: PMC11939877 DOI: 10.3390/biomedicines13030736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Revised: 03/07/2025] [Accepted: 03/14/2025] [Indexed: 03/29/2025] Open
Abstract
Background/Objectives: Schizophrenia (SZ) is a complex psychiatric disorder characterized by neurodegenerative processes, but the structural brain alterations associated with its progression remain poorly understood. This study investigated structural brain changes in SZ, particularly in the fronto-temporal and limbic regions, and explored their relationship with symptom severity, with a focus on mood- and emotion-related symptoms. Methods: We analyzed structural MRI data from 74 SZ patients and 91 healthy controls (HCs) using voxel-based morphometry (VBM) to compare whole-brain grey matter volumes (GMVs). The analysis focused on the fronto-temporal and limbic regions, and correlations between GMV and symptom severity were assessed using the Positive and Negative Syndrome Scale (PANSS) and the Generalized Psychopathology (GP) scale. Results: SZ patients exhibited significant reductions in GMV in the fronto-temporal and limbic regions, including the dorsolateral prefrontal cortex (dlPFC) and the temporal pole, compared to HCs. Notably, a significant positive association was found between GMV in the right inferior temporal gyrus (ITG) and the severity of generalized psychopathology, as well as with anxiety, depression, mannerisms, and unusual thought content. Further post hoc analysis identified a specific cluster of mood-related symptoms contributing to the GP scale, which correlated with GMV changes in the right ITG. Conclusions: Our findings provide new evidence of structural brain alterations in SZ, particularly in the fronto-temporal and limbic regions, suggesting a progressive neurodegenerative pattern. The role of the right ITG in mood- and emotion-related symptoms requires further exploration, as it could offer insights into SZ pathophysiology and aid in distinguishing SZ from other mood-related disorders.
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Affiliation(s)
- Margherita Biondi
- Padova Neuroscience Center, University of Padova, 35131 Padova, Italy;
| | - Marco Marino
- Department of General Psychology, University of Padova, 35131 Padova, Italy;
- Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium;
| | - Dante Mantini
- Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium;
| | - Chiara Spironelli
- Padova Neuroscience Center, University of Padova, 35131 Padova, Italy;
- Department of General Psychology, University of Padova, 35131 Padova, Italy;
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Ji L, Huang B, Ren D, Wei X, Liu L, Bi Y, Li Z, Yuan F, Han K, Li K, Yang F, Li X, Yu T, Shi Y, He L, Lu Q, He G. Identification of Schizophrenia-Risk Regulatory Variant rs1399178 in the Non-coding Region With Its Impact on NRF1 Binding. CNS Neurosci Ther 2025; 31:e70275. [PMID: 40019038 PMCID: PMC11868986 DOI: 10.1111/cns.70275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 11/28/2024] [Accepted: 01/31/2025] [Indexed: 03/01/2025] Open
Abstract
AIMS The challenges in identifying functional variants from genome-wide association studies (GWAS) and unraveling regulatory mechanisms in schizophrenia research persist, particularly in intronic regions. A non-coding regulatory variant, rs1399178, associated with schizophrenia risk, is identified and its impact on NRF1 binding is investigated. METHODS This study focuses on schizophrenia GWAS risk loci, using functional genomics, expression analyses and structural analysis to identify 736 schizophrenia risk single-nucleotide polymorphisms (SNPs) that disrupt transcription factor (TF) binding. RESULTS Among these SNPs, rs1399178 stands out as a bifunctional intergenic SNP that can switch between acting as a promoter and an enhancer, potentially influencing MLH1 and LRRFIP2 expression via expression quantitative trait loci analysis. Importantly, mutation of the G allele of rs1399178 to A significantly diminishes its binding affinity to nuclear respiratory factor 1 (NRF1). Structural analysis provides further insight into this alteration in the protein-nucleic acid complex formation. CONCLUSION Based on our data, a model is proposed in which rs1399178 confers schizophrenia risk by modifying NRF1 binding profiles, thereby regulating the abundance of target genes through promoter-enhancer switching. This study provides novel insights into the regulatory mechanisms of schizophrenia risk variants, highlighting the intricate nature of genetic interactions and potential therapeutic targets.
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Affiliation(s)
- Lei Ji
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Bojian Huang
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Decheng Ren
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaoxi Wei
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Liangjie Liu
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yan Bi
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiqiang Li
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
- Affiliated Hospital of Qingdao University and Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio‐X Institutes)Qingdao UniversityQingdaoChina
| | - Fan Yuan
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Ke Han
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Keyi Li
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Fengping Yang
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xingwang Li
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tao Yu
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yi Shi
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lin He
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Qing Lu
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- Department of Otorhinolaryngology‐Head and Neck SurgeryChongqing General HospitalChongqingChina
- Ear InstituteShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose DiseasesShanghaiChina
| | - Guang He
- Bio‐X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghaiChina
- The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research CenterShanghai Jiao Tong UniversityShanghaiChina
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
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Hall MB, Lemanski EA, Schwarz JM. Prenatal Maternal Immune Activation with Lipopolysaccharide Accelerates the Developmental Acquisition of Neonatal Reflexes in Rat Offspring Without Affecting Maternal Care Behaviors. Biomolecules 2025; 15:347. [PMID: 40149883 PMCID: PMC11940702 DOI: 10.3390/biom15030347] [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: 02/01/2025] [Revised: 02/18/2025] [Accepted: 02/24/2025] [Indexed: 03/29/2025] Open
Abstract
Maternal immune activation (MIA)-infection with an immunogen during pregnancy-is linked to an increased risk of neurodevelopmental disorders (NDDs) in offspring. Both MIA and NDDs are associated with developmental delays in offsprings' motor behavior. Therefore, the current study examined the effects of MIA on neonatal reflex development in male and female offspring. Sprague Dawley rats were administered lipopolysaccharide (LPS; 50 μg/mL/kg, i.p.) or saline on embryonic day (E)15 of gestation. The offspring were then tested daily from postnatal day (P)3-P21 to determine their neonatal reflex abilities. The maternal care behaviors of the dam were also quantified on P1-P5, P10, and P15. We found that, regardless of sex, the E15 LPS offspring were able to forelimb grasp, cliff avoid, and right with a correct posture at an earlier postnatal age than the E15 saline offspring did. The E15 LPS offspring also showed better performance of forelimb grasping, hindlimb grasping, righting with correct posture, and walking with correct posture than the E15 saline offspring did. There were no significant differences in maternal licking/grooming, arched-back nursing, non-arched-back nursing, or total nursing across the E15 groups. Overall, these findings suggest that MIA with LPS on E15 accelerates reflex development in offspring without affecting maternal care. This may be explained by the stress acceleration hypothesis, whereby early-life stress accelerates development to promote survival.
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Affiliation(s)
- Mary Beth Hall
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE 19716, USA;
- Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE 19716, USA
| | - Elise A. Lemanski
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE 19716, USA;
- Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE 19716, USA
| | - Jaclyn M. Schwarz
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE 19716, USA;
- Interdisciplinary Neuroscience Graduate Program, University of Delaware, Newark, DE 19716, USA
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Yinzhu M, Yan L, Wenqing J, Yasong D. Clinical characteristics and risk factors of early-onset schizophrenia in children with self-injurious suicide behavior. L'ENCEPHALE 2025; 51:61-66. [PMID: 39694758 DOI: 10.1016/j.encep.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/26/2023] [Accepted: 01/15/2024] [Indexed: 12/20/2024]
Abstract
OBJECTIVE To understand the clinical characteristics and risk factors of early-onset schizophrenia in children with self-injurious suicide behavior. METHODS From March 2021 to December 2021, the clinical information of 77 inpatients with demography characteristics, family characteristics, and diseases which met the ICD-10 diagnostic criteria for "schizophrenia" in the pediatric wards of Shanghai Mental Health Center was retrospectively collected. According to whether or not there was self-injurious suicide behavior, they were divided into the self-harm and suicidal behavior group (self-harm and suicidal behavior - S) and the non-self-injurious suicide group (NS); inter-group comparison and regression analysis was performed between the two groups. RESULT There were 51 cases (66.2%) of early-onset childhood schizophrenia patients with self-injurious suicidal behavior, verbal auditory hallucinations (94.12%) and delusion of reference (92.16%) being the main psychological symptoms. Compared with early-onset schizophrenia patients without self-injurious suicidal behavior, early-onset schizophrenia patients with self-injurious suicidal behavior had a higher incidence of delusion of reference (t=3.184, P=0.002) and command auditory hallucinations (t=2.256, P=0.027). The Eysenck Personality Questionnaire showed that the score of neuroticism was higher (F=4.139, P=0.001); the level of free tetraiodothyronine (FT4) was lower (t=-4.436, P<0.001); and logistic regression analysis showed that gender (P=0.036, OR=14.863), FT4 (P=0.011, OR=0.607) and neuroticism score (P=0.035, OR=1.073) were related to the occurrence of self-injurious suicide in children with early-onset schizophrenia. CONCLUSION Early-onset schizophrenia patients with self-injurious and suicidal behavior have typical psychiatric symptoms, accompanied by some characteristics associated with emotional instability. Females with low levels of FT4 and neuroticism have risk factors for suicide with self-injury in early-onset schizophrenia.
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Affiliation(s)
- Ma Yinzhu
- Shanghai Mental Health Center, No. 600, Wanping South Road, Xuhui District 200030, Shanghai, China
| | - Li Yan
- Shanghai Mental Health Center, No. 600, Wanping South Road, Xuhui District 200030, Shanghai, China
| | - Jiang Wenqing
- Shanghai Mental Health Center, No. 600, Wanping South Road, Xuhui District 200030, Shanghai, China
| | - Du Yasong
- Shanghai Mental Health Center, No. 600, Wanping South Road, Xuhui District 200030, Shanghai, China.
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Zhou C, Zhang R, Ding M, Duan W, Fang J, Tang X, Qu Q, Zhang X. Progressive structural alterations associated with negative symptoms in schizophrenia: A causal structural covariance network analysis. Prog Neuropsychopharmacol Biol Psychiatry 2025; 136:111236. [PMID: 39732315 DOI: 10.1016/j.pnpbp.2024.111236] [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: 07/11/2024] [Revised: 10/22/2024] [Accepted: 12/21/2024] [Indexed: 12/30/2024]
Abstract
BACKGROUNDS Aberrant brain structures in schizophrenia have been widely explored. However, the causal effects of negative symptoms on brain structural alterations are still unclear. This study aims to explore the synchronous and progressive alterations in gray matter volume (GMV) associated with negative symptoms. METHODS 81 Deficit schizophrenia (DS) patients, 101 non-deficit schizophrenia (NDS) patients, and 177 healthy controls (HCs) were enrolled in this study. T1-weighted images were collected, and the severity of clinical symptoms in patients was evaluated. Then voxel-based morphometry and source-based morphometry were used for gray matter segmentation and structural covariance network construction. Finally, DS patients were ranked based on the severity of negative symptoms, and a causal structural covariance network (CaSCN) was constructed using Granger causality analysis. RESULTS Twenty-four independent components were identified. Among them, 20 components showed smaller GMV in patients with schizophrenia compared to HCs. Furthermore, DS exhibited decreased GMV in right inferior frontal gyrus triangular part, bilateral para-hippocampal gyrus, and bilateral anterior cerebellum compared to NDS. Both patient groups showed increased structural covariance across various brain regions compared to HCs. Additionally, DS exhibited decreased structural covariance in left middle frontal gyrus, bilateral inferior frontal gyrus and right superior frontal gyrus compared to NDS. In CaSCN, as negative symptoms worsened, the volume of bilateral caudate decreased along with the atrophy of bilateral para-hippocampal gyrus, the volume of bilateral thalamus increased along with the decline in multiple brain regions, and the decreased volume of bilateral posterior cingulate cortex resulted in increased volume of bilateral lingual gyrus and other brain regions. CONCLUSIONS The present study demonstrated the specific brain structural covariance patterns in DS, providing new evidence for the causal effects of negative symptoms on progressive structural abnormalities in schizophrenia.
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Affiliation(s)
- Chao Zhou
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Rongrong Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Mubing Ding
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Psychiatry, the Fourth People's Hospital of Wuhu, Wuhu, Anhui, China
| | - Wenhuan Duan
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Psychiatry, Pukou Branch of Jiangsu Province Hospital (Nanjing Pukou District Central Hospital), Nanjing, Jiangsu, China
| | - Jin Fang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaowei Tang
- Department of Psychiatry, Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou, Jiangsu, China
| | - Qiushuang Qu
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
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9
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Veddum L, Bliksted V, Zhou Y, Andreassen AK, Knudsen CB, Greve AN, Steffensen NL, Birk M, Hemager N, Brandt JM, Gregersen M, Johnsen LK, Larsen KM, Christiaan Baaré WF, Madsen KS, Siebner HR, Plessen KJ, Thorup AAE, Østergaard L, Nordentoft M, Mors O, Lund TE, Dietz M. Brain Activation and Aberrant Effective Connectivity in the Mentalizing Network of Preadolescent Children at Familial High Risk of Schizophrenia or Bipolar Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2025; 10:68-79. [PMID: 39182726 DOI: 10.1016/j.bpsc.2024.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 08/13/2024] [Accepted: 08/13/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND Schizophrenia and bipolar disorder are characterized by social cognitive impairments, and recent research has identified alterations of the social brain. However, it is unknown whether familial high risk (FHR) of these disorders is associated with neurobiological alterations already present in childhood. METHODS As part of the Danish High Risk and Resilience Study-VIA 11, we examined children at FHR of schizophrenia (n = 121, 50% female) or bipolar disorder (n = 75, 47% female) and population-based control children (PBCs) (n = 128, 48% female). Using functional magnetic resonance imaging and dynamic causal modeling, we investigated brain activation and effective connectivity during the social cognition paradigm from the Human Connectome Project. RESULTS We found similar activation of the mentalizing network across groups, including visual area V5, the dorsomedial prefrontal cortex, and the posterior superior temporal sulcus (pSTS). Nonetheless, both FHR groups showed aberrant brain connectivity in the form of increased feedforward connectivity from left V5 to pSTS compared with PBCs. Children at FHR of schizophrenia had reduced intrinsic connectivity in bilateral V5 compared with PBCs, whereas children at FHR of bipolar disorder showed increased reciprocal connectivity between the left dorsomedial prefrontal cortex and the pSTS, increased intrinsic connectivity in the right pSTS, and reduced feedforward connectivity from the right pSTS to the dorsomedial prefrontal cortex compared with PBCs. CONCLUSIONS Our results provide first-time evidence of aberrant brain connectivity in the mentalizing network of children at FHR of schizophrenia or FHR of bipolar disorder. Longitudinal research is warranted to clarify whether aberrant brain connectivity during mentalizing constitutes an endophenotype associated with the development of a mental disorder later in life.
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Affiliation(s)
- Lotte Veddum
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark; Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark.
| | - Vibeke Bliksted
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark; Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Yuan Zhou
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Anna Krogh Andreassen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark; Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Christina Bruun Knudsen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark; Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Aja Neergaard Greve
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark; Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Nanna Lawaetz Steffensen
- Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Merete Birk
- Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Nicoline Hemager
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center, Copenhagen University Hospital, Copenhagen, Denmark; Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services, Copenhagen, Denmark
| | - Julie Marie Brandt
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center, Copenhagen University Hospital, Copenhagen, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maja Gregersen
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center, Copenhagen University Hospital, Copenhagen, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Line Korsgaard Johnsen
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services, Copenhagen, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Kit Melissa Larsen
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services, Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - William Frans Christiaan Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Hartwig Roman Siebner
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Kerstin Jessica Plessen
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Division of Child and Adolescent Psychiatry, Department of Psychiatry, the University Hospital of Lausanne, Lausanne, Switzerland
| | - Anne Amalie Elgaard Thorup
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark; Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services, Copenhagen, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leif Østergaard
- Center of Functionally Integrative Neuroscience, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Neuroradiology, Aarhus University Hospital, Aarhus, Denmark
| | - Merete Nordentoft
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark; CORE - Copenhagen Research Center for Mental Health, Mental Health Center, Copenhagen University Hospital, Copenhagen, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital Skejby-Psychiatry, Aarhus, Denmark; iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Torben Ellegaard Lund
- Center of Functionally Integrative Neuroscience, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Martin Dietz
- Center of Functionally Integrative Neuroscience, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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Jellinger KA. Morphological substrate of chronic schizophrenia in elderly patients: a clinicopathological study. FREE NEUROPATHOLOGY 2025; 6:9. [PMID: 40098729 PMCID: PMC11911938 DOI: 10.17879/freeneuropathology-2025-6135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/21/2025] [Accepted: 03/06/2025] [Indexed: 03/19/2025]
Abstract
Objective: Patients with schizophrenia are at a higher risk of developing dementia, but the basis of cognitive impairment is a matter of discussion. Conflicting results regarding the association of schizophrenia with Alzheimer disease (AD) may partly be attributable to the inclusion of non-AD lesions, which few clinicopathological studies have considered. Therefore, a re-evaluation of an autopsy cohort of elderly schizophrenics published previously [1] was performed. Material & methods: Among 99 consecutive autopsy cases of patients who met the DSM-5 and ICD.10 criteria for schizophrenia (mean age 69.5 ± 8.25 years), 56 showed moderate to severe dementia. All brains were blindly examined using the current criteria for AD and looking for concomitant lesions. They were compared with the frequency of AD in an autopsy series of 1.750 aged demented individuals Results: Four cases revealed the features of definite AD, five probable AD, and three aged 82-89 years were classified as primary age-related tauopathy (PART). Two cases were a cortical type of dementia with Lewy bodies (DLB), one Lewy body disease of brainstem type; six showed hippocampal sclerosis, 14 argyrophilic grain disease (AGD), and one progressive supranuclear palsy (PSP). Other co-pathologies were frequent lacunes in basal ganglia, moderate cerebral amyloid angiopathy, minor development anomalies in the entorhinal cortex, Fahr's disease, metastatic tumors, and acute or old cerebral infarctions (n = 4 each). Definite AD was seen in 48 % of the age-matched demented control group. Conclusions: In this cohort of elderly schizophrenic patients, only 7.6 % fulfilled the neuropathological criteria of definite or probable AD and 3.6 % of PART compared to 6 % to 13.7 % typical and atypical AD in the literature, whereas a considerable number of cases showed non-AD co-pathologies. This is in line with other studies showing that the frequency of AD in elderly schizophrenics may be equal to or less than in age-matched controls. Further studies are needed to elucidate the mechanisms of cognitive decline in schizophrenia.
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11
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Sun Z, Kou C, Gao Z, Guo X, Han B, Feng Y, Ding Q, Bai W. Association between the copy number variations of Methyl-CpG binding domain family and schizophrenia. Gene 2024; 930:148836. [PMID: 39127413 DOI: 10.1016/j.gene.2024.148836] [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: 06/03/2024] [Revised: 07/17/2024] [Accepted: 08/07/2024] [Indexed: 08/12/2024]
Abstract
Schizophrenia is recognized as one of the most severe psychiatric disorders, with its pathogenesis likely involving genetic, epigenetic, developmental, and environmental factors. Members of the Methyl-CpG Binding Domain (MBD) Family play a crucial role in the regulation of genomic DNA methylation, and studies have implicated the association between MBD family and neurodevelopmental disorders. Copy number variations (CNVs) are a significant genetic basis for human genomic variation, also playing a critical role in the genetic processes of schizophrenia. Therefore, we aimed to evaluate the susceptibility of MBD family CNVs to schizophrenia by exploring and validating them in two separate populations using CNVplex™ and qPCR methods, and to explore the relationship between MBD family CNVs and clinical phenotypes in the overall population using chi-square tests and Fisher's exact tests. Results suggest that an increase in MBD1 gene copy number and a deficiency in MBD2 gene copy number may be associated with the risk of schizophrenia. The deficiency in MBD2 gene copy number may increase the risk of delusion of reference and delusion of persecutory in the overall sample, as well as in males. This research provides preliminary evidence supporting the association between MBD family CNVs and schizophrenia, highlighting the potential role of the MBD family in the pathogenesis of schizophrenia.
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Affiliation(s)
- Zhouyang Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China
| | - Zibo Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China
| | - Xinru Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China
| | - Beibei Han
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China
| | - Yuan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China
| | - Qianlu Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China
| | - Wei Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin Province, 130021, China.
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12
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Tonna M. The Evolution of Symbolic Thought: At the Intersection of Schizophrenia Psychopathology, Ethnoarchaeology, and Neuroscience. Cult Med Psychiatry 2024; 48:900-917. [PMID: 38995487 PMCID: PMC11570560 DOI: 10.1007/s11013-024-09873-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/29/2024] [Indexed: 07/13/2024]
Abstract
The human capacity for symbolic representation arises, evolutionarily and developmentally, from the exploitation of a widespread sensorimotor network, along a fundamental continuity between embodied and symbolic modes of experience. In this regard, the fine balancing between constrained sensorimotor connections (responsible for self-embodiment processing) and more untethered neural associations (responsible for abstract and symbolic processing) is context dependent and plastically neuromodulated, thus intersubjectively constructed within a specific socio-cultural milieu. Instead, in the schizophrenia spectrum this system falls off catastrophically, due to an unbalance toward too unconstrained sensorimotor connectivity, leading to a profound distortion of self/world relation with a symbolic activity detached from its embodied ground. For this very reason, however, schizophrenia psychopathology may contribute to unveil, in a distorted or magnified way, ubiquitous structural features of human symbolic activity, beneath the various, historically determined cultural systems. In this respect, a comparative approach, linking psychopathology and ethnoarchaeology, allows highlight the following invariant formal characteristics of symbolic processing: (1) Emergence of salient perceptive fragments, which stand out from the perceptual field. (2) Spreading of a multiplicity of new significances with suspension of common-sense meaning. (3) Dynamic and passive character through which meaning proliferation is experienced. This study emphasizes the importance of fine-grained psychopathology to elucidate, within a cross-disciplinary framework, the evolutionarily and developmental pathways that shape the basic structures of human symbolization.
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Affiliation(s)
- Matteo Tonna
- Department of Medicine and Surgery, Psychiatric Unit, University of Parma, Ospedale Maggiore, Padiglione Braga, Viale A. Gramsci 14, 43126, Parma, Italy.
- Department of Mental Health, Local Health Service, Parma, Italy.
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13
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Restellini R, Golay P, Jenni R, Baumann PS, Alameda L, Allgäuer L, Steullet P, Abrahamyan Empson L, Mebdouhi N, Do KQ, Conus P, Dwir D, Klauser P. Winter birth: A factor of poor functional outcome in a Swiss early psychosis cohort. Schizophr Res 2024; 274:206-211. [PMID: 39341100 DOI: 10.1016/j.schres.2024.09.022] [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: 05/13/2024] [Revised: 09/12/2024] [Accepted: 09/20/2024] [Indexed: 09/30/2024]
Abstract
OBJECTIVE Winter birth has consistently been identified as a risk factor for schizophrenia. This study aimed to determine whether individuals born during this season are also at higher risk for early psychosis and whether this is associated with distinct functional and clinical outcomes. METHODS We conducted a prospective study on 222 patients during their early phase of psychosis in Switzerland, nested in the Treatment and Early Intervention in Psychosis (TIPP) cohort. We compared the birth trimesters of these patients with those of the general Swiss population. Additionally, we evaluated the Global Assessment of Functioning scale (GAF) and the Positive and Negative Syndrome Scale (PANSS) scores among patients born in winter (January to March) versus those born during the rest of the year during a three-year follow-up period. RESULTS A significantly higher proportion of patients experiencing early psychosis were born in winter compared to the general Swiss population. Patients born in winter had significantly lower GAF scores at 6 months, 24 months, and 36 months of follow-up, compared to patients born during the rest of the year. They also manifested fewer positive symptoms, as indicated by the PANSS positive subscale. CONCLUSION Birth in winter appears to be associated with a lower functional outcome and potentially distinct symptomatology in the early phase of psychosis.
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Affiliation(s)
- Romeo Restellini
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Service of Emergency Medicine, Department of Acute Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Philippe Golay
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; La Source School of Nursing, HES-SO University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland
| | - Raoul Jenni
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Philipp S Baumann
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Luis Alameda
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK; Centro Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocio, Departamento de Psiquiatria, Universidad de Sevilla, Sevilla, Spain
| | - Larissa Allgäuer
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pascal Steullet
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Lilith Abrahamyan Empson
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nadir Mebdouhi
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Kim Quang Do
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Philippe Conus
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Daniella Dwir
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Paul Klauser
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Service of Child and Adolescent Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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14
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Poletti M, Raballo A. Schizophrenia spectrum disorders in children and adolescents: Clinical, phenomenological, diagnostic, and prognostic features across subtypes. Schizophr Res 2024; 274:189-198. [PMID: 39341098 DOI: 10.1016/j.schres.2024.09.019] [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: 08/10/2023] [Revised: 09/13/2024] [Accepted: 09/17/2024] [Indexed: 09/30/2024]
Abstract
Schizophrenia spectrum disorders (SSD) typically have a diagnostically recognizable onset in young adulthood, yet it is not unusual that help-seeking due to initial SSD-related clinical manifestations emerge in earlier developmental phases, such as childhood and adolescence. Varieties of SSD manifestations in children and adolescents can be distinguished according to variations in clinical expressivity, severity and timing (i.e. developmental stage). Some individuals may reach the full clinical threshold for a diagnosis of schizophrenia according to the same descriptive diagnostic criteria used for adults, and in this case, it's possible to distinguish a pre-pubertal onset in childhood (aka Very Early Onset Schizophrenia, VEOS) and a post-pubertal onset in adolescence (aka Early Onset Schizophrenia, EOS). Other individuals may not reach such clinically overt diagnostic threshold but nonetheless present Childhood Schizotypal Disorder (CSD) or a Clinical High-Risk for Psychosis (CHRP). While EOS is clinically more similar to the canonical adult-onset presentation, the other 3 subgroups (i.e. VEOS, CSD, CHRP) present more nuances and specific clinical characteristics, which require ad-hoc developmental and phenomenological considerations for appropriate differential diagnosis and prognosis. Therefore, current scoping review intends to saturate such knowledge gap with respect to early SSD-phenotypes.
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Affiliation(s)
- Michele Poletti
- Department of Mental Health and Pathological Addiction, Child and Adolescent Neuropsychiatry Service, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
| | - Andrea Raballo
- Chair of Psychiatry, Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland; Public Health Division, Department of Health and Social Care, Cantonal Socio-Psychiatric Organization, Repubblica e Cantone Ticino, Mendrisio, Switzerland
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15
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Wang Z, Xue K, Kang Y, Liu Z, Cheng J, Zhang Y, Wei Y. Altered intrinsic neural activity and its molecular analyses in first-episode schizophrenia with auditory verbal hallucinations. Front Neurosci 2024; 18:1478963. [PMID: 39534020 PMCID: PMC11554611 DOI: 10.3389/fnins.2024.1478963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Accepted: 10/09/2024] [Indexed: 11/16/2024] Open
Abstract
Background Auditory verbal hallucinations (AVHs) are one of the signature positive symptoms of schizophrenia, affecting a substantial portion of patients with schizophrenia. These hallucinations seriously impact the lives of patients, resulting in a substantial social burden. Recent studies have shown a significant correlation between abnormal local brain activity and the neurobiological mechanisms of AVHs. However, it is not fully clear whether altered intrinsic brain activity in schizophrenia patients with AVHs is correlated with specific neurotransmitter systems. Methods We included 50 first-episode, drug-naïve schizophrenia patients with AVHs, 50 patients without AVHs (NAVHs), and 50 age- and sex-matched healthy controls (HCs). The amplitude of low-frequency fluctuation (ALFF) was utilized to explore the altered intrinsic brain activity in the AVH group. Subsequently, we spatially correlated the altered ALFF with neurotransmitter maps using JuSpace. Results In our study, compared to HCs, the AVH group exhibited significantly reduced ALFF in multiple brain regions, mainly including the left precuneus, bilateral supplementary motor areas, bilateral paracentral lobules, bilateral precentral gyri, and bilateral postcentral gyri. The NAVH group showed significantly reduced ALFF in the left inferior occipital gyrus, left calcarine gyrus, and left lingual gyrus compared to HCs. Furthermore, the AVH group showed higher ALFF in the right inferior frontal gyrus compared to the NAVH group. Additionally, these ALFF alterations in the AVH group were closely related to three neurotransmitters, including dopamine, serotonin and norepinephrine. Conclusion We link neurotransmitters to abnormal intrinsic brain activity in first-episode, drug-naïve schizophrenia patients with AVHs, contributing to a comprehensive understanding of the pathophysiological processes and treatment pathways underlying AVHs.
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Affiliation(s)
- Ziyu Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
| | - Kangkang Xue
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
| | - Yimeng Kang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
| | - Zijun Liu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
| | - Yan Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
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Lee GY, Youn YA, Jang YH, Kim H, Lee JY, Lee YJ, Jung M, Lee HJ. Structural development and brain asymmetry in the fronto-limbic regions in preschool-aged children. Front Pediatr 2024; 12:1362409. [PMID: 39411282 PMCID: PMC11473423 DOI: 10.3389/fped.2024.1362409] [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: 01/05/2024] [Accepted: 09/04/2024] [Indexed: 10/19/2024] Open
Abstract
Early-life experiences play a crucial role in the development of the fronto-limbic regions, influencing both macro- and microstructural changes in the brain. These alterations profoundly impact cognitive, social-emotional functions. Recently, early limbic structural alterations have been associated with numerous neurological and psychiatric morbidities. Although identifying normative developmental trajectories is essential for determining brain alterations, only a few studies have focused on examining the normative trajectories in the fronto-limbic regions during preschool-aged children. The aim of this study was to investigate the structural-developmental trajectory of the fronto-limbic regions using the cortical thickness, volume, and subcortical volume in 57 healthy and typical preschool-aged children between 1 and 5 years and examined the early lateralization patterns during the development of the fronto-limbic regions. Regarding brain lateralization, remarkable asymmetry was detected in the volume of thalamus and the cortical regions excluding the lateral orbitofrontal cortex in the fronto-limbic regions. This study of preschool-aged children may fill the knowledge gaps regarding the developmental patterns and hemispheric asymmetries of the fronto-limbic regions between newborns and adolescents.
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Affiliation(s)
- Gang Yi Lee
- Department of Translational Medicine, Hanyang University Graduate School of Biomedical Science and Engineering, Seoul, Republic of Korea
| | - Young-Ah Youn
- Department of Pediatrics, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong Hun Jang
- Department of Translational Medicine, Hanyang University Graduate School of Biomedical Science and Engineering, Seoul, Republic of Korea
| | - Hyuna Kim
- Department of Translational Medicine, Hanyang University Graduate School of Biomedical Science and Engineering, Seoul, Republic of Korea
| | - Joo Young Lee
- Department of Translational Medicine, Hanyang University Graduate School of Biomedical Science and Engineering, Seoul, Republic of Korea
| | - Young Jun Lee
- Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Minyoung Jung
- Cognitive Science Research Group, Korea Brain Research Institute, Daegu, Republic of Korea
| | - Hyun Ju Lee
- Department of Pediatrics, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
- Division of Neonatology and Development Medicine, Hanyang University Hospital, Seoul, Republic of Korea
- Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Republic of Korea
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17
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Greve AN, Hemager N, Mortensen EL, Gantriis DL, Burton BK, Ellersgaard D, Plessen KJ, Thorup AAE, Jepsen JRM, Nordentoft M, Mors O, Simonsen A. Comparing cognition in parents with schizophrenia or bipolar disorder and their 7-year-old offspring. Psychiatry Res 2024; 340:116112. [PMID: 39121759 DOI: 10.1016/j.psychres.2024.116112] [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: 01/06/2024] [Revised: 06/15/2024] [Accepted: 07/27/2024] [Indexed: 08/12/2024]
Abstract
Individuals with schizophrenia (SZ) or bipolar disorder (BP) display cognitive impairments, while their first-degree relatives perform at an intermediate level between the patient groups and controls. However, the environmental impact of having an ill relative likely varies with the type of kinship and some studies suggest that offspring may be particularly disadvantaged. The present study aimed to investigate the relationship between parent and child cognition in parents with SZ or BD and their 7-year-old offspring. A population-based cohort of 522 children (parental SZ, n = 202; parental BP, n = 120; controls, n = 200) and their parents underwent the same assessment battery covering a wide range of cognitive functions. We used Bayesian statistics to model performance. We found that performance on non-verbal tests was better in offspring than parents with SZ or BP, using the controls as reference. However, for verbal tests, there was little to no evidence for this pattern or even some evidence for the opposite in the BP group: relatively better performance in parents than offspring. The findings suggest that the offspring of parents with SZ or BP may be particularly disadvantaged in verbal abilities. Future studies will show whether this pattern persists throughout development.
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Affiliation(s)
- Aja Neergaard Greve
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Palle Juul-Jensens Boulevard 175, 8200 Aarhus N, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark.
| | - Nicoline Hemager
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark; Copenhagen Research Center for Mental Health- CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Mental Health Services Capital Region, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Erik Lykke Mortensen
- Department of Public Health and Center for Healthy Aging, University of Copenhagen, Denmark
| | - Ditte Lou Gantriis
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Palle Juul-Jensens Boulevard 175, 8200 Aarhus N, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
| | - Birgitte Klee Burton
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ditte Ellersgaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark; Copenhagen Research Center for Mental Health- CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Mental Health Services Capital Region, Denmark
| | - Kerstin J Plessen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Copenhagen, Denmark; Division of Child and Adolescent Psychiatry, Department of Psychiatry, University Hospital Lausanne, Switzerland
| | - Anne A E Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Copenhagen, Denmark; University of Copenhagen, Institute for Clinical Medicine, Faculty of Health, Denmark
| | - Jens Richardt Møllegaard Jepsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark; Copenhagen Research Center for Mental Health- CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Mental Health Services Capital Region, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Copenhagen, Denmark; Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Copenhagen University Hospital, Psychiatric Hospital Centre Glostrup, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark; Copenhagen Research Center for Mental Health- CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Mental Health Services Capital Region, Denmark; University of Copenhagen, Institute for Clinical Medicine, Faculty of Health, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Palle Juul-Jensens Boulevard 175, 8200 Aarhus N, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
| | - Arndis Simonsen
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Palle Juul-Jensens Boulevard 175, 8200 Aarhus N, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
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18
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Shafiei G, Keller AS, Bertolero M, Shanmugan S, Bassett DS, Chen AA, Covitz S, Houghton A, Luo A, Mehta K, Salo T, Shinohara RT, Fair D, Hallquist MN, Satterthwaite TD. Generalizable Links Between Borderline Personality Traits and Functional Connectivity. Biol Psychiatry 2024; 96:486-494. [PMID: 38460580 PMCID: PMC11338739 DOI: 10.1016/j.biopsych.2024.02.1016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 02/02/2024] [Accepted: 02/29/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND Symptoms of borderline personality disorder (BPD) often manifest during adolescence, but the underlying relationship between these debilitating symptoms and the development of functional brain networks is not well understood. Here, we aimed to investigate how multivariate patterns of functional connectivity are associated with borderline personality traits in large samples of young adults and adolescents. METHODS We used functional magnetic resonance imaging data from young adults and adolescents from the HCP-YA (Human Connectome Project Young Adult) (n = 870, ages 22-37 years, 457 female) and the HCP-D (Human Connectome Project Development) (n = 223, ages 16-21 years, 121 female). A previously validated BPD proxy score was derived from the NEO Five-Factor Inventory. A ridge regression model with cross-validation and nested hyperparameter tuning was trained and tested in HCP-YA to predict BPD scores in unseen data from regional functional connectivity. The trained model was further tested on data from HCP-D without further tuning. Finally, we tested how the connectivity patterns associated with BPD aligned with age-related changes in connectivity. RESULTS Multivariate functional connectivity patterns significantly predicted out-of-sample BPD scores in unseen data in young adults (HCP-YA ppermuted = .001) and older adolescents (HCP-D ppermuted = .001). Regional predictive capacity was heterogeneous; the most predictive regions were found in functional systems relevant for emotion regulation and executive function, including the ventral attention network. Finally, regional functional connectivity patterns that predicted BPD scores aligned with those associated with development in youth. CONCLUSIONS Individual differences in functional connectivity in developmentally sensitive regions are associated with borderline personality traits.
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Affiliation(s)
- Golia Shafiei
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Arielle S Keller
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Maxwell Bertolero
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sheila Shanmugan
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Dani S Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Santa Fe Institute, Santa Fe, New Mexico
| | - Andrew A Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sydney Covitz
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, Minnesota
| | - Audrey Luo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kahini Mehta
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Taylor Salo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Damien Fair
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, Minnesota
| | - Michael N Hallquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Lifespan Brain Institute of Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania.
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Stephens RL, Leavitt I, Cornea E, Jarskog LF, Gilmore JH. Early cognitive development and psychopathology in children at familial high risk for schizophrenia. Schizophr Res 2024; 271:262-270. [PMID: 39068878 PMCID: PMC11384306 DOI: 10.1016/j.schres.2024.07.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 07/10/2024] [Accepted: 07/13/2024] [Indexed: 07/30/2024]
Abstract
Schizophrenia is a neurodevelopmental disorder associated with deficits in cognitive development and childhood psychopathology. Previous studies have focused on older children and the few studies of early childhood have yielded inconsistent findings. We studied cognitive development and psychopathology in children at familial high risk (FHR) of schizophrenia and matched controls from 1 to 6 years and hypothesized that FHR children would show consistent deficits across cognitive and behavioral measures in early childhood. STUDY DESIGN Cognitive development in children at high familial risk for schizophrenia or schizoaffective disorder (n = 33) and matched healthy controls (n = 66) was assessed at 1 and 2 years with the Mullen Scales of Early Learning, and at 4 and 6 years with the Stanford Binet Intelligence Scales, BRIEF-P/BRIEF and CANTAB. Psychopathology was assessed at 4 and 6 years with the BASC-2. General linear models were used to examine differences on outcome scores, and chi-square analyses were used to explore differences in the proportion of "at risk" or "below average" score profiles. STUDY RESULTS FHR children scored significantly lower than controls on Mullen Composite at age 2, and demonstrated broad deficits in IQ, executive function and working memory and 4 and 6 years. FHR children were also rated as significantly worse on most items of the BASC-2 at ages 4 and 6. CONCLUSIONS Children at FHR for schizophrenia demonstrate abnormal cognitive development and psychopathology at younger ages than previously detected, suggesting that early detection and intervention needs to be targeted to very early childhood.
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Affiliation(s)
- Rebecca L Stephens
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Isabel Leavitt
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - L Fredrik Jarskog
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
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20
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Giuliani L, Pezzella P, Giordano GM, Fazio L, Mucci A, Perrottelli A, Blasi G, Amore M, Rocca P, Rossi A, Bertolino A, Galderisi S, Maj M. Illness-related variables and abnormalities of resting-state brain activity in schizophrenia. Front Psychiatry 2024; 15:1458624. [PMID: 39165501 PMCID: PMC11333936 DOI: 10.3389/fpsyt.2024.1458624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 07/17/2024] [Indexed: 08/22/2024] Open
Abstract
Background The development of neuroimaging biomarkers in patients with schizophrenia (SCZ) requires a refined clinical characterization. A limitation of the neuroimaging literature is the partial uptake of progress in characterizing disease-related features, particularly negative symptoms (NS) and cognitive impairment (CI). In the present study, we assessed NS and CI using up-to-date instruments and investigated the associations of abnormalities in brain resting-state (rs)-activity with disease-related features. Methods Sixty-two community-dwelling SCZ subjects participated in the study. Multiple regression analyses were performed with the rs-activity of nine regions of interest as dependent variables and disease-related features as explanatory variables. Results Attention/vigilance deficits were negatively associated with dorsal anterior cingulate rs-activity and, together with depression, were positively associated with right dorsolateral prefrontal cortex rs-activity. These deficits and impairment of Reasoning/problem-solving, together with conceptual disorganization, were associated with right inferior parietal lobule and temporal parietal junction rs-activity. Independent of other features, the NS Expressive Deficit domain was associated with the left ventral caudate, while the Motivational Deficit was associated with the dorsal caudate rs-activity. Conclusion Neurocognitive deficits and the two negative symptom domains are associated with different neural markers. Replications of these findings could foster the identification of clinically actionable biomarkers of poor functional outcomes.
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Affiliation(s)
- Luigi Giuliani
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Pasquale Pezzella
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | | | - Leonardo Fazio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
- Department of Medicine and Surgery, Libera Università Mediterranea Giuseppe Degennaro, Casamassima, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Andrea Perrottelli
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Giuseppe Blasi
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Mario Amore
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Alessandro Rossi
- Department of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L’Aquila, L’Aquila, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
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21
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Clougher D, Forte MF, Mezquida G, Sánchez-Torres AM, Serra-Navarro M, Penadés R, Lobo A, Pinto AG, Panadero R, Roldán A, Vieta E, de la Serna E, Trabsa A, Martínez-Aran A, Torrent C, Tortorella A, Menculini G, Ramos-Quiroga JA, Cuesta MJ, Bernardo M, Amoretti S. Emotional intelligence and neurocognition profiles in first-episode psychosis: A two-year follow-up study. Eur Neuropsychopharmacol 2024; 85:66-77. [PMID: 39013243 DOI: 10.1016/j.euroneuro.2024.05.006] [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: 03/14/2024] [Revised: 05/10/2024] [Accepted: 05/12/2024] [Indexed: 07/18/2024]
Abstract
Emotional intelligence (EI) and neurocognition (NC) impairments are common in first-episode psychosis (FEP), yet their evolution over time remains unclear. This study identified patient profiles in EI and NC performance in FEP. 98 adult FEP patients and 128 healthy controls (HCs) were tested on clinical, functional, EI, and NC variables at baseline and two-year follow-up (FUP). A repeated-measures ANOVA compared the effects of group (patients and HCs) and time on EI. Significant EI improvements were observed in both groups. Four groups were created based on NC and EI performance at baseline and FUP in patients: impairment in NC and EI, impairment in NC only, impairment in EI only, and no impairment. At FUP, patients impaired in NC and EI showed less cognitive reserve (CR), greater negative and positive symptoms, and poorer functional outcomes. At FUP, three group trajectories were identified: (I) maintain dual impairment (II) maintain no impairment or improve, (III) maintain sole impairment or worsen. The maintain dual impairment group had the lowest levels of CR. EI and NC impairments progress differently in FEP. Greater CR may protect against comorbid EI/NC impairment. Identifying these patient characteristics could contribute to the development of personalised interventions.
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Affiliation(s)
- Derek Clougher
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain; BIOARABA, Department Psychiatry. Hospital Universitario de Alava. CIBERSAM. University of the Basque Country, Vitoria, Spain
| | - Maria Florencia Forte
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain; Serra-Hunter Fellow, Department of Basic Clinal Practice, Pharmacology Unit, University of Barcelona
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute of Health Research (IdiSNA), Pamplona, Spain Department of Health Sciences, Universidad Pública de Navarra, Pamplona, Spain; Departamento de Ciencias de la Salud, Universidad Pública de Navarra (UPNA), Campus de Arrosadia, 31006, Pamplona, España
| | - Maria Serra-Navarro
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain
| | - Rafael Penadés
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Zaragoza University. Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERSAM, ISCIII, Zaragoza, Spain
| | - Ana González Pinto
- BIOARABA, Department Psychiatry. Hospital Universitario de Alava. CIBERSAM. University of the Basque Country, Vitoria, Spain
| | - Rocío Panadero
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Alexandra Roldán
- Psychiatry Department, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, CIBERSAM, Barcelona, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain.
| | - Elena de la Serna
- Child and Adolescent Psychiatry and Psychology Department, 2017SGR881, Institute of Neurosciences, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Amira Trabsa
- Hospital del Mar Medical Research Institute; Universitat Pompeu Fabra, MELIS Department, CIBERSAM, ISCIII, Barcelona, Spain
| | - Anabel Martínez-Aran
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain.
| | - Alfonso Tortorella
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Giulia Menculini
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Josep Antoni Ramos-Quiroga
- Group of Psychiatry, Mental Health and Addictions, Valld'Hebron Research Institute (VHIR); Psychiatric Genetics Unit, Valld'Hebron Research Institute (VHIR); CIBERSAM, ISCIII, Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute of Health Research (IdiSNA), Pamplona, Spain Department of Health Sciences, Universidad Pública de Navarra, Pamplona, Spain
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain
| | - Silvia Amoretti
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain; Group of Psychiatry, Mental Health and Addictions, Valld'Hebron Research Institute (VHIR); Psychiatric Genetics Unit, Valld'Hebron Research Institute (VHIR); CIBERSAM, ISCIII, Barcelona, Spain
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Søndergaard A, Gregersen M, Wilms M, Brandt JM, Hjorthøj C, Ohland J, Rohd SB, Hemager N, Andreassen AK, Knudsen CB, Veddum L, Krantz MF, Greve A, Bliksted V, Mors O, Lykkegaard K, Krustrup P, Thorup AE, Nordentoft M. Inflammatory markers, somatic complaints, use of medication and health care in 11-year-old children at familial high risk of schizophrenia or bipolar disorder compared with population-based controls. The Danish High Risk and Resilience Study - via 11. Nord J Psychiatry 2024; 78:507-517. [PMID: 38923920 DOI: 10.1080/08039488.2024.2369145] [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: 11/04/2023] [Revised: 05/12/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
PURPOSE Patients with schizophrenia or bipolar disorder are at increased risk of somatic illnesses and have more somatic complaints compared with the general population. Schizophrenia and bipolar disorder are highly heritable. Already during childhood, children at familial high risk of schizophrenia (FHR-SZ) or bipolar disorder (FHR-BD) are at increased risk of psychiatric disorders and cognitive and social impairments. Knowledge about physical conditions is sparse. MATERIALS AND METHODS Through blood tests (n = 293), interviews, and questionnaires, we assessed inflammatory markers, somatic complaints, medication - and health care use in 11-year-old children at FHR-SZ, FHR-BD, and population-based controls (PBC). RESULTS Children at FHR-SZ had higher concentrations of leucocytes (mean 6.41, SD 0.73) compared with PBC (mean 5.78, SD 0.27, p = 0.005) and of neutrophilocytes (FHR-SZ: mean 3.11, SD 1.32, PBC: mean 2.70, SD 0.96, p = 0.024). Compared with PBC (26.6%), more children at FHR-SZ (40.5%, p = 0.007) reported somatic complaints. So did caregivers and teachers to children at FHR-BD. Somatic complaints, higher concentrations of leucocytes, and neutrophilocytes were associated with lower levels of physical activity. Children at FHR-BD with psychiatric disorders reported more somatic complaints compared with those without. CONCLUSION Children at FHR-SZ had higher concentrations of leucocytes and neutrophilocytes than PBC. Children at FHR-SZ or FHR-BP displayed more somatic complaints than controls. Our study highlights rarely explored disadvantage of being born to parents with schizophrenia or bipolar disorder. To enhance understanding of how physical conditions in childhood may interplay with later transition to mental disorders in children at FHR-SZ and FHR-BD, further research is needed.
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Affiliation(s)
- Anne Søndergaard
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Maja Gregersen
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - Martin Wilms
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Julie Marie Brandt
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Carsten Hjorthøj
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - Jessica Ohland
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - Sinnika Birkehøj Rohd
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Nicoline Hemager
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Anna Krogh Andreassen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Christina Bruun Knudsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Lotte Veddum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
| | - Mette Falkenberg Krantz
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - Aja Greve
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- Research Unit of Psychiatry (Odense), Department of Clinical Research, University of Southern, Denmark
| | - Vibeke Bliksted
- Research Unit of Psychiatry (Odense), Department of Clinical Research, University of Southern, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- Research Unit of Psychiatry (Odense), Department of Clinical Research, University of Southern, Denmark
| | | | - Peter Krustrup
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Anne E Thorup
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- Mental Health Centre Copenhagen, Copenhagen University Hospital, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Bang M, Heo Y, Choi TK, Lee SH. Positive Effects of Uric Acid on White Matter Microstructures and Treatment Response in Patients With Schizophrenia. Schizophr Bull 2024; 50:815-826. [PMID: 38300803 PMCID: PMC11283201 DOI: 10.1093/schbul/sbae008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia involves microstructural changes in white matter (WM) tracts. Oxidative stress is a key factor causing WM damage by hindering oligodendrocyte development and myelin maturation. Uric acid (UA), an endogenous antioxidant, may protect against oxidative stress. We investigated the effect of UA on WM connectivity in antipsychotic-naive or -free patients with early- or chronic-stage schizophrenia. STUDY DESIGN A total of 192 patients with schizophrenia (122 recent-onset [ROS] and 70 chronic [CS]) and 107 healthy controls (HCs) participated in this study. Diffusion tensor imaging data and serum UA levels at baseline were obtained. STUDY RESULTS Fractional anisotropy was lower in the widespread WM regions across the whole brain, and diffusivity measures were higher in both schizophrenia groups than in HCs. The CS group showed lower diffusivity in some WM tracts than the ROS or HC groups. The linear relationship of serum UA levels with axial and mean diffusivity in the right frontal region was significantly different between schizophrenia stages, which was driven by a negative association in the CS group. WM diffusivity associated with serum UA levels correlated with 8-week treatment responses only in patients with CS, suggesting UA to be protective against long-term schizophrenia. CONCLUSIONS UA may protect against the WM damage associated with the progression of schizophrenia by reducing oxidative stress and supporting WM repair against oxidative damage. These results provide insights into the positive role of UA and may facilitate the development of novel disease-modifying therapies.
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Affiliation(s)
- Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Yul Heo
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Tai Kiu Choi
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
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24
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Nourbakhsh S, Ferrando SJ. Primary versus secondary psychosis in a patient with congenital liver disease. BMJ Case Rep 2024; 17:e259623. [PMID: 38960424 PMCID: PMC11227732 DOI: 10.1136/bcr-2024-259623] [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] [Accepted: 06/07/2024] [Indexed: 07/05/2024] Open
Abstract
In this article we report the case of a man with congenital liver disease who later developed psychotic illness and was diagnosed with schizophrenia. We illustrate how decompensation in liver function was associated with the exacerbation of psychotic symptoms. We discuss differential diagnostic challenges, and the possible overlapping neuropathology in these two conditions that may converge on glutamate/N-methyl-D-aspartate dysfunction. This patient's case underscores the need for further research to elucidate the possible underlying mechanisms linking congenital liver disease and psychosis.
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Affiliation(s)
- Sormeh Nourbakhsh
- Psychiatry, Westchester Medical Center, Valhalla, New York, USA
- New York Medical College, Valhalla, New York, USA
| | - Stephen J Ferrando
- Westchester Medical Center Health Network, Valhalla, New York, USA
- New York Medical College School of Medicine, Valhalla, New York, USA
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25
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Bouteldja AA, Penichet D, Srivastava LK, Cermakian N. The circadian system: A neglected player in neurodevelopmental disorders. Eur J Neurosci 2024; 60:3858-3890. [PMID: 38816965 DOI: 10.1111/ejn.16423] [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: 02/14/2024] [Revised: 04/18/2024] [Accepted: 05/07/2024] [Indexed: 06/01/2024]
Abstract
Patients with neurodevelopmental disorders, such as autism spectrum disorder, often display abnormal circadian rhythms. The role of the circadian system in these disorders has gained considerable attention over the last decades. Yet, it remains largely unknown how these disruptions occur and to what extent they contribute to the disorders' development. In this review, we examine circadian system dysregulation as observed in patients and animal models of neurodevelopmental disorders. Second, we explore whether circadian rhythm disruptions constitute a risk factor for neurodevelopmental disorders from studies in humans and model organisms. Lastly, we focus on the impact of psychiatric medications on circadian rhythms and the potential benefits of chronotherapy. The literature reveals that patients with neurodevelopmental disorders display altered sleep-wake cycles and melatonin rhythms/levels in a heterogeneous manner, and model organisms used to study these disorders appear to support that circadian dysfunction may be an inherent characteristic of neurodevelopmental disorders. Furthermore, the pre-clinical and clinical evidence indicates that circadian disruption at the environmental and genetic levels may contribute to the behavioural changes observed in these disorders. Finally, studies suggest that psychiatric medications, particularly those prescribed for attention-deficit/hyperactivity disorder and schizophrenia, can have direct effects on the circadian system and that chronotherapy may be leveraged to offset some of these side effects. This review highlights that circadian system dysfunction is likely a core pathological feature of neurodevelopmental disorders and that further research is required to elucidate this relationship.
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Affiliation(s)
- Ahmed A Bouteldja
- Douglas Mental Health University Institute, Montréal, Québec, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, Québec, Canada
| | - Danae Penichet
- Douglas Mental Health University Institute, Montréal, Québec, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, Québec, Canada
| | - Lalit K Srivastava
- Douglas Mental Health University Institute, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Nicolas Cermakian
- Douglas Mental Health University Institute, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
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26
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Jiang Y, Palaniyappan L, Luo C, Chang X, Zhang J, Tang Y, Zhang T, Li C, Zhou E, Yu X, Li W, An D, Zhou D, Huang CC, Tsai SJ, Lin CP, Cheng J, Wang J, Yao D, Cheng W, Feng J. Neuroimaging epicenters as potential sites of onset of the neuroanatomical pathology in schizophrenia. SCIENCE ADVANCES 2024; 10:eadk6063. [PMID: 38865456 PMCID: PMC11168466 DOI: 10.1126/sciadv.adk6063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 05/08/2024] [Indexed: 06/14/2024]
Abstract
Schizophrenia lacks a clear definition at the neuroanatomical level, capturing the sites of origin and progress of this disorder. Using a network-theory approach called epicenter mapping on cross-sectional magnetic resonance imaging from 1124 individuals with schizophrenia, we identified the most likely "source of origin" of the structural pathology. Our results suggest that the Broca's area and adjacent frontoinsular cortex may be the epicenters of neuroanatomical pathophysiology in schizophrenia. These epicenters can predict an individual's response to treatment for psychosis. In addition, cross-diagnostic similarities based on epicenter mapping over of 4000 individuals diagnosed with neurological, neurodevelopmental, or psychiatric disorders appear to be limited. When present, these similarities are restricted to bipolar disorder, major depressive disorder, and obsessive-compulsive disorder. We provide a comprehensive framework linking schizophrenia-specific epicenters to multiple levels of neurobiology, including cognitive processes, neurotransmitter receptors and transporters, and human brain gene expression. Epicenter mapping may be a reliable tool for identifying the potential onset sites of neural pathophysiology in schizophrenia.
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Affiliation(s)
- Yuchao Jiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Quebec, Canada
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu, PR China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, PR China
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, PR China
| | - Xiao Chang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Enpeng Zhou
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, PR China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, PR China
| | - Wei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, PR China
| | - Chu-Chung Huang
- Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China
- Shanghai Changning Mental Health Center, Shanghai, PR China
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, PR China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu, PR China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, PR China
- Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, PR China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, PR China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, PR China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, PR China
- Zhangjiang Fudan International Innovation Center, Shanghai, PR China
- School of Data Science, Fudan University, Shanghai, PR China
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
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27
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Wang Y, Fan L, He Y, Yuan L, Li Z, Zheng W, Tang J, Li C, Jin K, Liu W, Chen X, Ouyang L, Ma X. Compensatory thickening of cortical thickness in early stage of schizophrenia. Cereb Cortex 2024; 34:bhae255. [PMID: 38897816 DOI: 10.1093/cercor/bhae255] [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: 04/08/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Brain structural abnormality has been observed in the prodromal and early stages of schizophrenia, but the mechanism behind it is not clear. In this study, to explore the association between cortical abnormalities, metabolite levels, inflammation levels and clinical symptoms of schizophrenia, 51 drug-naive first-episode schizophrenia (FES) patients, 51 ultra-high risk for psychosis (UHR), and 51 healthy controls (HC) were recruited. We estimated gray matter volume (GMV), cortical thickness (CT), concentrations of different metabolites, and inflammatory marks among four groups (UHR converted to psychosis [UHR-C], UHR unconverted to psychosis [UHR-NC], FES, HC). UHR-C group had more CT in the right lateral occipital cortex and the right medial orbito-frontal cortex (rMOF), while a significant reduction in CT of the right fusiform cortex was observed in FES group. UHR-C group had significantly higher concentration of IL-6, while IL-17 could significantly predict CT of the right fusiform and IL-4 and IL-17 were significant predictors of CT in the rMOF. To conclude, it is reasonable to speculate that the increased CT in UHR-C group is related to the inflammatory response, and may participate in some compensatory mechanism, but might become exhaustive with the progress of the disease due to potential neurotoxic effects.
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Affiliation(s)
- Yujue Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Lejia Fan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada
| | - Ying He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Liu Yuan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Zongchang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Wenxiao Zheng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Jinsong Tang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Yuhua District catalpa garden road 86, Changsha 410007, Hunan, China
| | - Ke Jin
- Department of Radiology, Hunan Children's Hospital, Yuhua District catalpa garden road 86, Changsha 410007, Hunan, China
| | - Weiqing Liu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, #165 Sanlin road, Pudong New Area,Shanghai 200124, China
- Laboratory for Molecular Mechanisms of Brain Development, Center for Brain Science (CBS), 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Xiaogang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Lijun Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Xiaoqian Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
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28
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Apperly IA, Lee R, van der Kleij SW, Devine RT. A transdiagnostic approach to neurodiversity in a representative population sample: The N+ 4 model. JCPP ADVANCES 2024; 4:e12219. [PMID: 38827989 PMCID: PMC11143952 DOI: 10.1002/jcv2.12219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/21/2023] [Indexed: 06/05/2024] Open
Abstract
Background The concept of neurodiversity draws upon scientific research, and lessons from practice and lived experience to suggest new ways of thinking about neurodevelopmental conditions. Among the formative observations are that characteristics associated with neurodevelopmental conditions are part of a "broader phenotype" of variation across the whole population, and that there appear to be "transdiagnostic" similarities as well as differences in these characteristics. These observations raise important questions that have implications for understanding diversity in neurodevelopmental conditions and in neurocognitive phenotypes across the whole population. Method The present work examines broader phenotypes using seven widely used self-report assessments of traits associated with autism, ADHD, dyslexia, Developmental Coordination Disorder/dyspraxia, tic disorders/Tourette's, cortical hyperexcitability associated with subclinical epilepsy, and sensory sensitivities. A representative sample of 995 adults (aged 17-77) in the UK completed self-report measures of neurodiversity, wellbeing, generalized anxiety, and depression, and cognitive abilities (nonverbal intelligence and executive functioning). Results We used confirmatory factor analysis to test whether variation and covariation was better characterized (1) by traditional diagnostic labels, or (2) transdiagnostically according to similarities in functions, behaviours, or phenomena. Results indicated that neurodiversity characteristics were best explained using a bifactor model with one general "N" factor and four condition-specific factors. Conclusion This was the largest examination to date of the factor structure of broader phenotypes relevant to neurodevelopmental conditions. It provides critical benchmark data, and a framework approach for asking systematic questions about the structure of neurocognitive diversities seen in the whole population and in people with one or more diagnoses.
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Affiliation(s)
- Ian A. Apperly
- Centre for Developmental ScienceSchool of PsychologyUniversity of BirminghamBirminghamUK
| | - Robert Lee
- Centre for Developmental ScienceSchool of PsychologyUniversity of BirminghamBirminghamUK
| | - Sanne W. van der Kleij
- Centre for Developmental ScienceSchool of PsychologyUniversity of BirminghamBirminghamUK
| | - Rory T. Devine
- Centre for Developmental ScienceSchool of PsychologyUniversity of BirminghamBirminghamUK
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29
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Petrescu C, Mihalache OA, Vilciu C, Petrescu DM, Marian G, Ciobanu CA, Ciobanu AM. Clinical and Sociodemographic Correlations with Neurological Soft Signs in Hospitalized Patients with Schizophrenia: A Preliminary Longitudinal Study. Biomedicines 2024; 12:787. [PMID: 38672143 PMCID: PMC11048323 DOI: 10.3390/biomedicines12040787] [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: 02/20/2024] [Revised: 03/19/2024] [Accepted: 04/01/2024] [Indexed: 04/28/2024] Open
Abstract
Schizophrenia is a severe, chronic neuropsychiatric disorder characterized by symptoms that profoundly impact behavior, cognition, perception, and emotions, leading to a reduced quality of life and physical impairment. Given the complexity of schizophrenia, there is a pressing need for clinical markers and tools to predict its course, enhance disease staging, facilitate early intervention, improve differential diagnosis, and tailor individualized treatment approaches. Previous studies focused on the relationship between neurological soft signs (NSS) and factors such as age, illness duration, and symptomatology, indicating NSS as state markers improving in parallel with psychotic symptom remission or predicting treatment resistance. However, there is a lack of consensus on NSS assessment tools, hindering routine clinical monitoring despite diagnostic and prognostic potential. The present longitudinal study involved 81 psychiatric inpatients diagnosed with schizophrenia. Patients were assessed at three time points: baseline, 1 month, and 6 months. The examination included the use of scales to evaluate psychotic and neurological symptoms, as well as the identification of adverse extrapyramidal reactions caused by neuroleptic treatment. The progression of NSS was correlated to both the symptomatology and the sociodemographic data of the patients. The main findings from the present investigation revealed a statistical correlation between NSS and psychopathological symptoms, especially with negative symptoms of schizophrenia. However, it is important to note that neuroleptic side effects only had a limited impact on NSS. Therefore, instead of being linked to extrapyramidal symptoms caused by neuroleptics, NSS appears to be more frequently related with symptoms of schizophrenia. Our findings provide further support for their strong association with the course of schizophrenia, independent of treatment side effects, thus emphasizing their potential as reliable assessment tools in both research and clinical settings.
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Affiliation(s)
- Cristian Petrescu
- Neuroscience Department, Discipline of Psychiatry, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania;
- Department of Psychiatry, ‘Prof. Dr. Alexandru Obregia’ Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
| | - Oana A. Mihalache
- Department of Doctoral Studies, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania;
- Department of Neurology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.V.); (D.M.P.)
| | - Crisanda Vilciu
- Department of Neurology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.V.); (D.M.P.)
- Neurology Clinic, ‘Fundeni’ Clinical Institute, 022328 Bucharest, Romania
| | - Diana M. Petrescu
- Department of Neurology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (C.V.); (D.M.P.)
- Neurology Clinic, ‘Fundeni’ Clinical Institute, 022328 Bucharest, Romania
| | - Gabriela Marian
- Academy of Romanian Scientists, 927180 Bucharest, Romania;
- Department of Psychiatry and Psychology, ‘Titu Maiorescu’ University of Medicine, 040051 Bucharest, Romania
| | - Constantin A. Ciobanu
- Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020022 Bucharest, Romania
| | - Adela M. Ciobanu
- Neuroscience Department, Discipline of Psychiatry, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania;
- Department of Psychiatry, ‘Prof. Dr. Alexandru Obregia’ Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
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Jonas KG, Cannon TD, Docherty AR, Dwyer D, Gur RC, Gur RE, Nelson B, Reininghaus U, Kotov R. Psychosis superspectrum I: Nosology, etiology, and lifespan development. Mol Psychiatry 2024; 29:1005-1019. [PMID: 38200290 PMCID: PMC11385553 DOI: 10.1038/s41380-023-02388-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 12/05/2023] [Accepted: 12/15/2023] [Indexed: 01/12/2024]
Abstract
This review describes the Hierarchical Taxonomy of Psychopathology (HiTOP) model of psychosis-related psychopathology, the psychosis superspectrum. The HiTOP psychosis superspectrum was developed to address shortcomings of traditional diagnoses for psychotic disorders and related conditions including low reliability, arbitrary boundaries between psychopathology and normality, high symptom co-occurrence, and heterogeneity within diagnostic categories. The psychosis superspectrum is a transdiagnostic dimensional model comprising two spectra-psychoticism and detachment-which are in turn broken down into fourteen narrow components, and two auxiliary domains-cognition and functional impairment. The structure of the spectra and their components are shown to parallel the genetic structure of psychosis and related traits. Psychoticism and detachment have distinct patterns of association with urbanicity, migrant and ethnic minority status, childhood adversity, and cannabis use. The superspectrum also provides a useful model for describing the emergence and course of psychosis, as components of the superspectrum are relatively stable over time. Changes in psychoticism predict the onset of psychosis-related psychopathology, whereas changes in detachment and cognition define later course. Implications of the superspectrum for genetic, socio-environmental, and longitudinal research are discussed. A companion review focuses on neurobiology, treatment response, and clinical utility of the superspectrum, and future research directions.
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Affiliation(s)
- Katherine G Jonas
- Department of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Anna R Docherty
- Huntsman Mental Health Institute, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Dominic Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Ruben C Gur
- Brain Behavior Laboratory, Department of Psychiatry and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Raquel E Gur
- Brain Behavior Laboratory, Department of Psychiatry and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Barnaby Nelson
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- ESRC Centre for Society and Mental Health and Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Roman Kotov
- Department of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY, USA
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Aabdien A, Sichlinger L, Borgel Z, Jones MR, Waston IA, Gatford NJF, Raval P, Tanangonan L, Powell TR, Duarte RRR, Srivastava DP. Schizophrenia risk proteins ZNF804A and NT5C2 interact in cortical neurons. Eur J Neurosci 2024; 59:2102-2117. [PMID: 38279611 PMCID: PMC11170667 DOI: 10.1111/ejn.16254] [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: 07/31/2023] [Revised: 12/13/2023] [Accepted: 01/03/2024] [Indexed: 01/28/2024]
Abstract
The zinc finger protein 804A (ZNF804A) and the 5'-nucleotidase cytosolic II (NT5C2) genes are amongst the first schizophrenia susceptibility genes to have been identified in large-scale genome-wide association studies. ZNF804A has been implicated in the regulation of neuronal morphology and is required for activity-dependent changes to dendritic spines. Conversely, NT5C2 has been shown to regulate 5' adenosine monophosphate-activated protein kinase activity and has been implicated in protein synthesis in human neural progenitor cells. Schizophrenia risk genotype is associated with reduced levels of both NT5C2 and ZNF804A in the developing brain, and a yeast two-hybrid screening suggests that their encoded proteins physically interact. However, it remains unknown whether this interaction also occurs in cortical neurons and whether they could jointly regulate neuronal function. Here, we show that ZNF804A and NT5C2 colocalise and interact in HEK293T cells and that their rodent homologues, ZFP804A and NT5C2, colocalise and form a protein complex in cortical neurons. Knockdown of the Zfp804a or Nt5c2 genes resulted in a redistribution of both proteins, suggesting that both proteins influence the subcellular targeting of each other. The identified interaction between ZNF804A/ZFP804A and NT5C2 suggests a shared biological pathway pertinent to schizophrenia susceptibility within a neuronal cell type thought to be central to the neurobiology of the disorder, providing a better understanding of its genetic landscape.
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Affiliation(s)
- Afra Aabdien
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Laura Sichlinger
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Zoe Borgel
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Madeleine R. Jones
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Iain A. Waston
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Nicholas J. F. Gatford
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Pooja Raval
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Lloyd Tanangonan
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Timothy R. Powell
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Rodrigo R. R. Duarte
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Deepak P. Srivastava
- Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
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Wang X, Yan C, Yang PY, Xia Z, Cai XL, Wang Y, Kwok SC, Chan RCK. Unveiling the potential of machine learning in schizophrenia diagnosis: A meta-analytic study of task-based neuroimaging data. Psychiatry Clin Neurosci 2024; 78:157-168. [PMID: 38013639 DOI: 10.1111/pcn.13625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 11/01/2023] [Accepted: 11/24/2023] [Indexed: 11/29/2023]
Abstract
The emergence of machine learning (ML) techniques has opened up new avenues for identifying biomarkers associated with schizophrenia (SCZ) using task-related fMRI (t-fMRI) designs. To evaluate the effectiveness of this approach, we conducted a comprehensive meta-analysis of 31 t-fMRI studies using a bivariate model. Our findings revealed a high overall sensitivity of 0.83 and specificity of 0.82 for t-fMRI studies. Notably, neuropsychological domains modulated the classification performance, with selective attention demonstrating a significantly higher specificity than working memory (β = 0.98, z = 2.11, P = 0.04). Studies involving older, chronic patients with SCZ reported higher sensitivity (P <0.015) and specificity (P <0.001) than those involving younger, first-episode patients or high-risk individuals for psychosis. Additionally, we found that the severity of negative symptoms was positively associated with the specificity of the classification model (β = 7.19, z = 2.20, P = 0.03). Taken together, these results support the potential of using task-based fMRI data in combination with machine learning techniques to identify biomarkers related to symptom outcomes in SCZ, providing a promising avenue for improving diagnostic accuracy and treatment efficacy. Future attempts to deploy ML classification should consider the factors of algorithm choice, data quality and quantity, as well as issues related to generalization.
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Affiliation(s)
- Xuan Wang
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Center, Shanghai, China
- Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chao Yan
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Center, Shanghai, China
| | | | - Zheng Xia
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Xin-Lu Cai
- Institute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Sze Chai Kwok
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Center, Shanghai, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Data Science Research Center, Duke Kunshan University, Kunshan, China
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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Liang Y, Shao R, Xia Y, Li Y, Guo S. Investigating amplitude of low-frequency fluctuation and possible links with cognitive impairment in childhood and adolescence onset schizophrenia: a correlation study. Front Psychiatry 2024; 15:1288955. [PMID: 38426007 PMCID: PMC10902053 DOI: 10.3389/fpsyt.2024.1288955] [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: 09/25/2023] [Accepted: 01/22/2024] [Indexed: 03/02/2024] Open
Abstract
Background Cognitive impairment (CI) is a distinctive characteristic of schizophrenia, with evidence suggesting that childhood and adolescence onset schizophrenia (CAOS), representing severe but rare forms of schizophrenia, share continuity with adult-onset conditions. While relationships between altered brain function and CI have been identified in adults with schizophrenia, the extent of brain function abnormalities in CAOS remains largely unknown. In this study, we employed resting-state functional magnetic resonance imaging (rs-fMRI) to investigate functional alterations in brain areas among patients with CAOS. To assess CI across multiple cognitive domains, we utilized the Stroop Color and Word Tests (SCWT) and MATRICS Consensus Cognitive Battery (MCCB) tests. Our objective was to explore the associations between functional CI and the amplitude of low-frequency fluctuation (ALFF) levels in these patients. Methods We enrolled 50 patients diagnosed with CAOS and 33 healthy controls (HCs) matched for sex and age. Cognitive functions were assessed using the MCCB and SCWT methods. Rs-fMRI data were acquired using gradient-echo echo-planar imaging sequences. Voxel-based ALFF group maps were compared through two-sample t-tests in SPM8. Subsequently, correlation analyses were conducted to identify associations between ALFF levels and cognitive scores. Results In comparison to HCs, patients exhibited significantly increased ALFF levels in the right fusiform gyrus, frontal lobe, and caudate, as well as the left frontal lobe and caudate. Conversely, reduced ALFF levels were observed in the temporal and left medial frontal lobes. Significant differences were identified between HCs and patients in terms of total cognitive scores, ALFF levels, and domain scores. All test scores were decreased, except for TMA. Correlation analyses between ALFF levels and cognitive functions in patients with CAOS differed from those in HCs. Pearson correlation analyses revealed positive associations between Brief Visuospatial Memory Test - Revised (BVMT-R) scores and ALFF levels in the left medial frontal gyrus. Digital Span Test (DST) scores were negatively correlated with ALFF levels in the right caudate, and Maze Test values were negatively correlated with levels in the left caudate. However, Pearson correlation analyses in HCs indicated that color and Hopkins Verbal Learning Test (HVLT-R) scores positively correlated with ALFF levels in the left frontal lobe, while color-word and symbol coding scores negatively correlated with levels in the right caudate. Conclusions Altered ALFF levels in the brain may be linked to cognitive impairment (CI) in patients with CAOS. We highlighted the pathophysiology of schizophrenia and provide imaging evidence that could potentially aid in the diagnosis of CAOS.
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Affiliation(s)
| | | | | | | | - Suqin Guo
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
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Giordano GM, Pezzella P, Mucci A, Austin SF, Erfurth A, Glenthøj B, Hofer A, Hubenak J, Libiger J, Melle I, Nielsen MØ, Rybakowski JK, Wojciak P, Galderisi S, Sachs G. Negative symptoms and social cognition as mediators of the relationship between neurocognition and functional outcome in schizophrenia. Front Psychiatry 2024; 15:1333711. [PMID: 38356912 PMCID: PMC10864497 DOI: 10.3389/fpsyt.2024.1333711] [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: 11/05/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024] Open
Abstract
Introduction In this study we assessed the contribution of psychopathology, including the two domains of negative symptoms (motivational deficit and expressive deficit), processing speed as an index of neurocognition, and emotion recognition, as an index of social cognition, to poor functional outcomes in people with schizophrenia. Methods The Positive and Negative Syndrome Scale was used to evaluate positive symptoms and disorganization and the Brief Negative Symptom Scale to assess negative symptoms. The Symbol Coding and the Trail Making Test A and B were used to rate processing speed and the Facial Emotion Identification Test to assess emotion recognition. Functional outcome was assessed with the Personal and Social Performance Scale (PSP). Regression analyses were performed to identify predictors of functional outcome. Mediation analyses was used to investigate whether social cognition and negative symptom domains fully or partially mediated the impact of processing speed on functional outcome. Results One hundred and fifty subjects from 8 different European centers were recruited. Our data showed that the expressive deficit predicted global functioning and together with motivational deficit fully mediated the effects of neurocognition on it. Motivational deficit was a predictor of personal and social functioning and fully mediated neurocognitive impairment effects on the same outcome. Both motivational deficit and neurocognitive impairment predicted socially useful activities, and the emotion recognition domain of social cognition partially mediated the impact of neurocognitive deficits on this outcome. Conclusions Our results indicate that pathways to functional outcomes are specific for different domains of real-life functioning and that negative symptoms and social cognition mediate the impact of neurocognitive deficits on different domains of functioning. Our results suggest that both negative symptoms and social cognition should be targeted by psychosocial interventions to enhance the functional impact of neurocognitive remediation.
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Affiliation(s)
- Giulia M. Giordano
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Pasquale Pezzella
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Stephen F. Austin
- Psychiatric Research Unit, Region Zealand Psychiatry, Slagelse, Denmark
| | - Andreas Erfurth
- 6th Psychiatric Department, Otto-Wagner-Spital, Vienna, Austria
| | - Birte Glenthøj
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alex Hofer
- Medical University Innsbruck, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Division of Psychiatry I, Innsbruck, Austria
| | - Jan Hubenak
- Department of Psychiatry, Charles University, Faculty of Medicine and University Hospital Hradec Králové, Hradec Králové, Czechia
| | - Jan Libiger
- Department of Psychiatry, Charles University, Faculty of Medicine and University Hospital Hradec Králové, Hradec Králové, Czechia
| | - Ingrid Melle
- NORMENT Centre, Institute of Clinical Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Mette Ø. Nielsen
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Janusz K. Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Pawel Wojciak
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Gabriele Sachs
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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Xenaki LA, Dimitrakopoulos S, Selakovic M, Stefanis N. Stress, Environment and Early Psychosis. Curr Neuropharmacol 2024; 22:437-460. [PMID: 37592817 PMCID: PMC10845077 DOI: 10.2174/1570159x21666230817153631] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/02/2023] [Accepted: 01/04/2023] [Indexed: 08/19/2023] Open
Abstract
Existing literature provides extended evidence of the close relationship between stress dysregulation, environmental insults, and psychosis onset. Early stress can sensitize genetically vulnerable individuals to future stress, modifying their risk for developing psychotic phenomena. Neurobiological substrate of the aberrant stress response to hypothalamic-pituitary-adrenal axis dysregulation, disrupted inflammation processes, oxidative stress increase, gut dysbiosis, and altered brain signaling, provides mechanistic links between environmental risk factors and the development of psychotic symptoms. Early-life and later-life exposures may act directly, accumulatively, and repeatedly during critical neurodevelopmental time windows. Environmental hazards, such as pre- and perinatal complications, traumatic experiences, psychosocial stressors, and cannabis use might negatively intervene with brain developmental trajectories and disturb the balance of important stress systems, which act together with recent life events to push the individual over the threshold for the manifestation of psychosis. The current review presents the dynamic and complex relationship between stress, environment, and psychosis onset, attempting to provide an insight into potentially modifiable factors, enhancing resilience and possibly influencing individual psychosis liability.
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Affiliation(s)
- Lida-Alkisti Xenaki
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
| | - Stefanos Dimitrakopoulos
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
| | - Mirjana Selakovic
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
| | - Nikos Stefanis
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, 72 Vas. Sophias Ave., Athens, 115 28, Greece
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Arafuka S, Fujishiro H, Torii Y, Sekiguchi H, Habuchi C, Miwa A, Yoshida M, Iritani S, Iwasaki Y, Ikeda M, Ozaki N. Neuropathological substrate of incident dementia in older patients with schizophrenia: A clinicopathological study. Psychiatry Clin Neurosci 2024; 78:29-40. [PMID: 37706608 DOI: 10.1111/pcn.13597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/08/2023] [Accepted: 09/08/2023] [Indexed: 09/15/2023]
Abstract
AIM Clinical studies reported that patients with schizophrenia are at a higher risk of developing dementia than people without schizophrenia. However, early neuropathological studies have shown that the incidence of Alzheimer's disease (AD) in schizophrenia patients does not differ from that in controls. These inconsistent results may be attributable to the inclusion of non-AD dementia, but there have been few clinicopathological studies in older patients with schizophrenia based on the current neuropathological classification. This study aimed to investigate the neuropathological basis of incident dementia in older patients with schizophrenia. METHODS We systematically examined 32 brains of old patients with schizophrenia using standardized pathological methods. The severity of dementia-related neuropathologies was analyzed using standardized semiquantitative assessments. After excluding patients who fulfilled the neuropathological criteria, clinicopathological variables were compared between patients with and without incident dementia to identify potential differences. RESULTS Seven patients fulfilled the pathological criteria for AD (n = 3), argyrophilic grain disease (AGD) (n = 2), dementia with Lewy bodies (n = 1), and AGD/progressive supranuclear palsy (n = 1). Among 25 patients for whom a neuropathological diagnosis was not obtained, 10 had dementia, but the clinicopathological findings did not differ from the remaining 15 patients without dementia. CONCLUSION Two types of older schizophrenia patient present dementia: patients with co-existing neurodegenerative disease and patients who do not meet pathological criteria based on the current classification. To understand the neurobiological aspects of incident dementia in older patients with schizophrenia, further clinicopathological studies are needed that do not simply analyze incident dementia as a comorbidity of conventional dementia-related neuropathologies.
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Affiliation(s)
- Shusei Arafuka
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Japan
- Moriyama General Mental Hospital, Nagoya, Japan
| | - Hiroshige Fujishiro
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Moriyama General Mental Hospital, Nagoya, Japan
| | - Youta Torii
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Moriyama General Mental Hospital, Nagoya, Japan
| | - Hirotaka Sekiguchi
- Department of Psychiatry, Okehazama Hospital Fujita Mental Care Center, Toyoake, Japan
| | | | - Ayako Miwa
- Moriyama General Mental Hospital, Nagoya, Japan
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Japan
| | - Shuji Iritani
- Moriyama General Mental Hospital, Nagoya, Japan
- Department of Psychiatry, Okehazama Hospital Fujita Mental Care Center, Toyoake, Japan
- Aichi Psychiatric Medical Center, Nagoya, Japan
| | - Yasushi Iwasaki
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan
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Tranter MM, Faget L, Hnasko TS, Powell SB, Dillon DG, Barnes SA. Postnatal Phencyclidine-Induced Deficits in Decision Making Are Ameliorated by Optogenetic Inhibition of Ventromedial Orbitofrontal Cortical Glutamate Neurons. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:264-274. [PMID: 38298783 PMCID: PMC10829674 DOI: 10.1016/j.bpsgos.2023.08.002] [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: 04/12/2023] [Revised: 07/12/2023] [Accepted: 08/01/2023] [Indexed: 02/02/2024] Open
Abstract
Background The orbitofrontal cortex (OFC) is essential for decision making, and functional disruptions within the OFC are evident in schizophrenia. Postnatal phencyclidine (PCP) administration in rats is a neurodevelopmental manipulation that induces schizophrenia-relevant cognitive impairments. We aimed to determine whether manipulating OFC glutamate cell activity could ameliorate postnatal PCP-induced deficits in decision making. Methods Male and female Wistar rats (n = 110) were administered saline or PCP on postnatal days 7, 9, and 11. In adulthood, we expressed YFP (yellow fluorescent protein) (control), ChR2 (channelrhodopsin-2) (activation), or eNpHR 3.0 (enhanced halorhodopsin) (inhibition) in glutamate neurons within the ventromedial OFC (vmOFC). Rats were tested on the probabilistic reversal learning task once daily for 20 days while we manipulated the activity of vmOFC glutamate cells. Behavioral performance was analyzed using a Q-learning computational model of reinforcement learning. Results Compared with saline-treated rats expressing YFP, PCP-treated rats expressing YFP completed fewer reversals, made fewer win-stay responses, and had lower learning rates. We induced similar performance impairments in saline-treated rats by activating vmOFC glutamate cells (ChR2). Strikingly, PCP-induced performance deficits were ameliorated when the activity of vmOFC glutamate cells was inhibited (halorhodopsin). Conclusions Postnatal PCP-induced deficits in decision making are associated with hyperactivity of vmOFC glutamate cells. Thus, normalizing vmOFC activity may represent a potential therapeutic target for decision-making deficits in patients with schizophrenia.
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Affiliation(s)
- Michael M. Tranter
- Department of Psychiatry, University of California San Diego, La Jolla, California
- Research Service, VA San Diego Healthcare System, La Jolla, California
| | - Lauren Faget
- Department of Neurosciences, University of California San Diego, La Jolla, California
| | - Thomas S. Hnasko
- Research Service, VA San Diego Healthcare System, La Jolla, California
- Department of Neurosciences, University of California San Diego, La Jolla, California
| | - Susan B. Powell
- Department of Psychiatry, University of California San Diego, La Jolla, California
- Research Service, VA San Diego Healthcare System, La Jolla, California
| | - Daniel G. Dillon
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Samuel A. Barnes
- Department of Psychiatry, University of California San Diego, La Jolla, California
- Research Service, VA San Diego Healthcare System, La Jolla, California
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Yao G, Luo J, Zou T, Li J, Hu S, Yang L, Li X, Tian Y, Zhang Y, Feng K, Xu Y, Liu P. Transcriptional patterns of the cortical Morphometric Inverse Divergence in first-episode, treatment-naïve early-onset schizophrenia. Neuroimage 2024; 285:120493. [PMID: 38086496 DOI: 10.1016/j.neuroimage.2023.120493] [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: 09/15/2023] [Revised: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 12/18/2023] Open
Abstract
Early-onset Schizophrenia (EOS) is a profoundly progressive psychiatric disorder characterized by both positive and negative symptoms, whose pathogenesis is influenced by genes, environment and brain structure development. In this study, the MIND (Morphometric Inverse Divergence) network was employed to explore the relationship between morphological similarity and specific transcriptional expression patterns in EOS patients. This study involved a cohort of 187 participants aged between 7 and 17 years, consisting of 97 EOS patients and 90 healthy controls (HC). Multiple morphological features were used to construct the MIND network for all participants. Furthermore, we explored the associations between MIND network and brain-wide gene expression in EOS patients through partial least squares (PLS) regression, shared genetic predispositions with other psychiatric disorders, functional enrichment of PLS weighted genes, as well as transcriptional signature assessment of cell types, cortical layers, and developmental stages. The MIND showed similarity differences in the orbitofrontal cortex, pericalcarine cortex, lingual gyrus, and multiple networks in EOS patients compared to HC. Moreover, our exploration revealed a significant overlap of PLS2 weighted genes linking to EOS-related MIND differences and the dysregulated genes reported in other psychiatric diseases. Interestingly, genes correlated with MIND changes (PLS2-) exhibited a significant enrichment not only in metabolism-related pathways, but also in specific astrocytes, cortical layers (specifically layer I and III), and posterior developmental stages (late infancy to young adulthood stages). However, PLS2+ genes were primarily enriched in synapses signaling-related pathways and early developmental stages (from early-mid fetal to neonatal early infancy) but not in special cell types or layers. These findings provide a novel perspective on the intricate relationship between macroscopic morphometric structural abnormalities and microscopic transcriptional patterns during the onset and progression of EOS.
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Affiliation(s)
- Guanqun Yao
- School of Medicine, Tsinghua University, Beijing 100084, China; Department of Psychiatry, Yuquan Hospital, Tsinghua University, Beijing 100040, China; Institute for Precision Medicine, Tsinghua University, Beijing 100084, China
| | - Jing Luo
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Ting Zou
- School of Life Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jing Li
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China; School of Mental Health, Shanxi Medical University, Taiyuan 030001, China
| | - Shuang Hu
- Shanghai Mental Health Center, Shanghai 200030, China
| | - Langxiong Yang
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Xinrong Li
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Yu Tian
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Yuqi Zhang
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Kun Feng
- School of Medicine, Tsinghua University, Beijing 100084, China; Department of Psychiatry, Yuquan Hospital, Tsinghua University, Beijing 100040, China; Institute for Precision Medicine, Tsinghua University, Beijing 100084, China.
| | - Yong Xu
- Department of Clinical Psychology, The Eighth Affiliated Hospital, Sun Yat-Sen University, No. 3025, Shennan Middle Road, Futian Street, Futian District, Shenzhen 518031, China.
| | - Pozi Liu
- School of Medicine, Tsinghua University, Beijing 100084, China; Department of Psychiatry, Yuquan Hospital, Tsinghua University, Beijing 100040, China.
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Yao G, Zou T, Luo J, Hu S, Yang L, Li J, Li X, Zhang Y, Feng K, Xu Y, Liu P. Cortical structural changes of morphometric similarity network in early-onset schizophrenia correlate with specific transcriptional expression patterns. BMC Med 2023; 21:479. [PMID: 38049797 PMCID: PMC10696871 DOI: 10.1186/s12916-023-03201-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND This study aimed to investigate the neuroanatomical subtypes among early-onset schizophrenia (EOS) patients by exploring the association between structural alterations and molecular mechanisms using a combined analysis of morphometric similarity network (MSN) changes and specific transcriptional expression patterns. METHODS We recruited 206 subjects aged 7 to 17 years, including 100 EOS patients and 106 healthy controls (HC). Heterogeneity through discriminant analysis (HYDRA) was used to identify the EOS subtypes within the MSN strength. The differences in morphometric similarity between each EOS subtype and HC were compared. Furthermore, we examined the link between morphometric changes and brain-wide gene expression in different EOS subtypes using partial least squares regression (PLS) weight mapping, evaluated genetic commonalities with psychiatric disorders, identified functional enrichments of PLS-weighted genes, and assessed cellular transcriptional signatures. RESULTS Two distinct MSN-based EOS subtypes were identified, each exhibiting different abnormal MSN strength and cognitive functions compared to HC. The PLS1 score mapping demonstrated anterior-posterior gradients of gene expression in EOS1, whereas inverse distributions were observed in EOS2 cohorts. Genetic commonalities were identified in autistic disorder and adult schizophrenia with EOS1 and inflammatory bowel diseases with EOS2 cohorts. The EOS1 PLS1- genes (Z < -5) were significantly enriched in synaptic signaling-related functions, whereas EOS2 demonstrated enrichments in virtual infection-related pathways. Furthermore, the majority of observed associations with EOS1-specific MSN strength differences contributed to specific transcriptional changes in astrocytes and neurons. CONCLUSIONS The findings of this study provide a comprehensive analysis of neuroanatomical subtypes in EOS, shedding light on the intricate relationships between macrostructural and molecular aspects of the EOS disease.
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Affiliation(s)
- Guanqun Yao
- School of Medicine, Tsinghua University, Beijing, 100084, China
- Department of Psychiatry, Tsinghua University Yuquan Hospital, Shijingshan District, 5 Shijingshan Road, Beijing, China
| | - Ting Zou
- School of Life Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Jing Luo
- School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Shuang Hu
- Shanghai Mental Health Center, Shanghai, 200030, China
| | - Langxiong Yang
- School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Jing Li
- College of Humanities and Social Science, Shanxi Medical University, Taiyuan, 030001, China
- School of Mental Health, Shanxi Medical University, Taiyuan, 030001, China
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Xinrong Li
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Yuqi Zhang
- School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Kun Feng
- School of Medicine, Tsinghua University, Beijing, 100084, China.
- Department of Psychiatry, Tsinghua University Yuquan Hospital, Shijingshan District, 5 Shijingshan Road, Beijing, China.
| | - Yong Xu
- School of Mental Health, Shanxi Medical University, Taiyuan, 030001, China.
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
- Department of Mental Health, Shanxi Medical University, Taiyuan Central Hospital of Shanxi Medical University, 256 Fen Dongnan Road, Xiaodian District, Taiyuan City, Shanxi Province, China.
| | - Pozi Liu
- School of Medicine, Tsinghua University, Beijing, 100084, China.
- Department of Psychiatry, Tsinghua University Yuquan Hospital, Shijingshan District, 5 Shijingshan Road, Beijing, China.
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Tsapakis EM, Mitkani CA, Fountoulakis KN. Neurological soft signs and schizophrenia. CNS Spectr 2023; 28:657-661. [PMID: 36924179 DOI: 10.1017/s1092852923001189] [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] [Indexed: 03/18/2023]
Abstract
Neurological soft signs (NSS) are likely to represent abnormal neurodevelopment and aberration in neural maturation and connectivity. They may not be unique to schizophrenia, but they appear to be a trait characteristic in psychosis and therefore could serve as an objective measure for the assessment of serious psychiatric disorder in the prodromal phase, at onset, and along the course of the disease. Evidence so far proposes that NSS are independent of antipsychotic treatment and therefore constitute a trait symptom, independent of the illness stage and medication. Somatomotor and somatosensory regions, spatial orientation, and visual processing areas, cerebellum, and basal ganglia are implicated as possible structural substrates of NSS. Several studies have examined the relationship between NSS and schizophrenia positive, negative symptoms and deficit syndrome; however, results have been so far ambiguous. Neurocognitive symptoms have been moderately related to NSS suggesting that neurocognitive deficits may contribute to the construct of NSS. Regardless of the fact that NSS are not unique to schizophrenia but extend across to the schizotypy continuum, they may help identify individuals at risk of developing schizophrenia later in life.
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Affiliation(s)
- Eva-Maria Tsapakis
- Agios Charalampos Mental Health Clinic, Heraklion, Greece
- Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Calypso A Mitkani
- Department of Neurology, Agios Pavlos General Hospital of Thessaloniki, Kalamaria, Greece
| | - Konstantinos N Fountoulakis
- Department of Psychiatry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Ozsvar J, Gissler M, Lavebratt C, Nilsson IAK. Exposures during pregnancy and at birth are associated with the risk of offspring eating disorders. Int J Eat Disord 2023; 56:2232-2249. [PMID: 37646613 DOI: 10.1002/eat.24053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/13/2023] [Accepted: 08/14/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Eating disorders (ED) are severe psychiatric disorders, commonly debuting early. Aberrances in the intrauterine environment and at birth have been associated with risk of ED. Here, we explore if, and at what effect size, a variety of such exposures associate with offspring ED, that is, anorexia nervosa (AN), bulimia nervosa (BN), and eating disorder not otherwise specified (EDNOS). METHODS This population-based cohort study, conducted from September 2021 to August 2023, used Finnish national registries of all live births in 1996-2014 (N = 1,097,753). Cox proportional hazards modeling was used to compare ED risk in exposed versus unexposed offspring, adjusting for potential confounders and performing sex-stratified analyses. RESULTS A total of 6614 offspring were diagnosed with an ED; 3668 AN, 666 BN, and 4248 EDNOS. Lower risk of offspring AN was seen with young mothers, continued smoking, and instrumental delivery, while higher risk was seen with older mothers, inflammatory disorders, prematurity, small for gestational age, and low Apgar. Offspring risk of BN was higher with continued smoking and prematurity, while lower with postmature birth. Offspring risk of EDNOS was lower with instrumental delivery, higher for older mothers, polycystic ovary syndrome, insulin-treated pregestational diabetes, antibacterial treatment, prematurity, and small for gestational age. Sex-specific associations were found. CONCLUSIONS Several prenatal and at birth exposures are associated with offspring ED; however, we cannot exclude confounding by maternal BMI. Nevertheless, several exposures selectively associate with risk of either AN, BN, or EDNOS, and some are sex-specific, emphasizing the importance of subtype- and sex-stratified analyses of ED. PUBLIC SIGNIFICANCE We define environmental factors involved in the development of different ED, of importance as preventive measure, but also in order to aid in defining the molecular pathways involved and thus in the longer perspective contribute to the development of pharmacological treatment of ED.
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Affiliation(s)
- Judit Ozsvar
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Mika Gissler
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
- Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
- Research Centre for Child Psychiatry, University of Turku, Turku, Finland
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Ida A K Nilsson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
- Centre for Eating Disorders Innovation, Karolinska Institutet, Stockholm, Sweden
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42
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Wang B, Irizar H, Thygesen JH, Zartaloudi E, Austin-Zimmerman I, Bhat A, Harju-Seppänen J, Pain O, Bass N, Gkofa V, Alizadeh BZ, van Amelsvoort T, Arranz MJ, Bender S, Cahn W, Stella Calafato M, Crespo-Facorro B, Di Forti M, Giegling I, de Haan L, Hall J, Hall MH, van Haren N, Iyegbe C, Kahn RS, Kravariti E, Lawrie SM, Lin K, Luykx JJ, Mata I, McDonald C, McIntosh AM, Murray RM, Picchioni M, Powell J, Prata DP, Rujescu D, Rutten BPF, Shaikh M, Simons CJP, Toulopoulou T, Weisbrod M, van Winkel R, Kuchenbaecker K, McQuillin A, Bramon E. Psychosis Endophenotypes: A Gene-Set-Specific Polygenic Risk Score Analysis. Schizophr Bull 2023; 49:1625-1636. [PMID: 37582581 PMCID: PMC10686343 DOI: 10.1093/schbul/sbad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
BACKGROUND AND HYPOTHESIS Endophenotypes can help to bridge the gap between psychosis and its genetic predispositions, but their underlying mechanisms remain largely unknown. This study aims to identify biological mechanisms that are relevant to the endophenotypes for psychosis, by partitioning polygenic risk scores into specific gene sets and testing their associations with endophenotypes. STUDY DESIGN We computed polygenic risk scores for schizophrenia and bipolar disorder restricted to brain-related gene sets retrieved from public databases and previous publications. Three hundred and seventy-eight gene-set-specific polygenic risk scores were generated for 4506 participants. Seven endophenotypes were also measured in the sample. Linear mixed-effects models were fitted to test associations between each endophenotype and each gene-set-specific polygenic risk score. STUDY RESULTS After correction for multiple testing, we found that a reduced P300 amplitude was associated with a higher schizophrenia polygenic risk score of the forebrain regionalization gene set (mean difference per SD increase in the polygenic risk score: -1.15 µV; 95% CI: -1.70 to -0.59 µV; P = 6 × 10-5). The schizophrenia polygenic risk score of forebrain regionalization also explained more variance of the P300 amplitude (R2 = 0.032) than other polygenic risk scores, including the genome-wide polygenic risk scores. CONCLUSIONS Our finding on reduced P300 amplitudes suggests that certain genetic variants alter early brain development thereby increasing schizophrenia risk years later. Gene-set-specific polygenic risk scores are a useful tool to elucidate biological mechanisms of psychosis and endophenotypes, offering leads for experimental validation in cellular and animal models.
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Affiliation(s)
- Baihan Wang
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Haritz Irizar
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Johan H Thygesen
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Eirini Zartaloudi
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Isabelle Austin-Zimmerman
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Anjali Bhat
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Jasmine Harju-Seppänen
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Oliver Pain
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Nick Bass
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Vasiliki Gkofa
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Behrooz Z Alizadeh
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, The Netherlands
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Maria J Arranz
- Fundació Docència i Recerca Mutua Terrassa, Terrassa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Institut de Recerca Biomédica Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Stephan Bender
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Wiepke Cahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Altrecht, General Mental Health Care, Utrecht, The Netherlands
| | - Maria Stella Calafato
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Benedicto Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Sevilla, Spain
- Department of Psychiatry, University Hospital Virgen del Rocio, School of Medicine, University of Sevilla–IBiS, Sevilla, Spain
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | | | - Ina Giegling
- Comprehensive Centers for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Arkin, Institute for Mental Health, Amsterdam, The Netherlands
| | - Jeremy Hall
- Neuroscience and Mental Health Innovation Institute, School of Medicine, Cardiff University, Hadyn Ellis Building, Mandy Road, Cardiff, UK
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - Neeltje van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia’s Children Hospital, Rotterdam, The Netherlands
| | - Conrad Iyegbe
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eugenia Kravariti
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Stephen M Lawrie
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jurjen J Luykx
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ignacio Mata
- Fundacion Argibide, Pamplona, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
| | - Colm McDonald
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, University of Galway, Galway, Ireland
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Robin M Murray
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | | | - Marco Picchioni
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- St Magnus Hospital, Surrey, UK
| | - John Powell
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Diana P Prata
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciencias da Universidade de Lisboa, Portugal
| | - Dan Rujescu
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Division of General Psychiatry, Medical University of Vienna, Austria
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Madiha Shaikh
- North East London Foundation Trust, London, UK
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Claudia J P Simons
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- GGzE Institute for Mental Health Care, Eindhoven, The Netherlands
| | - Timothea Toulopoulou
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Interdisciplinary Program in Neuroscience, Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Türkiye
- National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Türkiye
- Department of Psychology, Bilkent University, Ankara, Türkiye
- School of Medicine, Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
- Department of Psychiatry and Behavioral Health System, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Matthias Weisbrod
- Department of General Psychiatry, Center of Psychosocial Medicine, University of Heidelberg, Germany
- SRH Klinikum, Karlsbad-Langensteinbach, Germany
| | - Ruud van Winkel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- KU Leuven, Department of Neuroscience, Research Group Psychiatry, Leuven, Belgium
| | - Karoline Kuchenbaecker
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- UCL Genetics Institute, Division of Biosciences, University College London, London, UK
| | - Andrew McQuillin
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Elvira Bramon
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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Panov G, Dyulgerova S, Panova P. Cognition in Patients with Schizophrenia: Interplay between Working Memory, Disorganized Symptoms, Dissociation, and the Onset and Duration of Psychosis, as Well as Resistance to Treatment. Biomedicines 2023; 11:3114. [PMID: 38137335 PMCID: PMC10740456 DOI: 10.3390/biomedicines11123114] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 11/10/2023] [Accepted: 11/17/2023] [Indexed: 12/24/2023] Open
Abstract
Schizophrenia is traditionally associated with the presence of psychotic symptoms. In addition to these, cognitive symptoms precede them and are present during the entire course of the schizophrenia process. The present study aims to establish the relationship between working memory (short-term memory and attention), the features of the clinical picture, and the course of the schizophrenic process, gender distribution and resistance to treatment. METHODS In total, 105 patients with schizophrenia were observed. Of these, 66 were women and 39 men. Clinical status was assessed using the Positive and Negative Syndrome Scale (PANSS), Brief Psychiatric Rating Scale (BPRS), Dimensional Obsessive-Compulsive Symptom Scale (DOCS), scale for dissociative experiences (DES) and Hamilton Depression Rating Scale (HAM-D)-cognitive functions using the Luria 10-word test with fixation assessment, reproduction and attention analysis. The clinical evaluation of resistance to the treatment showed that 45 patients were resistant to the ongoing medical treatment and the remaining 60 had an effect from the therapy. RESULTS Our study showed that, in most patients, we found disorders of working memory and attention. In 69.82% of the patients, we found problems with fixation; in 38.1%, problems with reproduction; and in 62.86%, attention disorders. Conducting a regression analysis showed that memory and attention disorders were mainly related to the highly disorganized symptoms scale, the duration of the schizophrenic process and the dissociation scale. It was found that there was a weaker but significant association between the age of onset of schizophrenia and negative symptoms. In the patients with resistant schizophrenia, much greater violations of the studied parameters working memory and attention were found compared to the patients with an effect from the treatment. CONCLUSION Impairments in working memory and attention are severely affected in the majority of patients with schizophrenia. Their involvement is most significant in patients with resistance to therapy. Factors associated with the highest degree of memory and attention impairment were disorganized symptoms, duration of schizophrenia, dissociative symptoms and, to a lesser extent, onset of illness. This analysis gives us the right to consider that the early and systematic analysis of cognition is a reliable marker for tracking both clinical dynamics and the effect of treatment.
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Affiliation(s)
- Georgi Panov
- Psychiatric Clinic, University Hospital for Active Treatment “Prof. Dr. Stoyan Kirkovich”, Trakia University, 6000 Stara Zagora, Bulgaria
- Medical Faculty, University “Prof. Dr. Asen Zlatarov”, 8000 Burgas, Bulgaria
| | - Silvana Dyulgerova
- Psychiatric Clinic, University Hospital for Active Treatment “Prof. Dr. Stoyan Kirkovich”, Trakia University, 6000 Stara Zagora, Bulgaria
| | - Presyana Panova
- Medical Faculty, Trakia University, 6000 Stara Zagora, Bulgaria;
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Kirschner M, Paquola C, Khundrakpam BS, Vainik U, Bhutani N, Hodzic-Santor B, Georgiadis F, Al-Sharif NB, Misic B, Bernhardt BC, Evans AC, Dagher A. Schizophrenia Polygenic Risk During Typical Development Reflects Multiscale Cortical Organization. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:1083-1093. [PMID: 37881579 PMCID: PMC10593879 DOI: 10.1016/j.bpsgos.2022.08.003] [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: 04/21/2022] [Revised: 06/23/2022] [Accepted: 08/04/2022] [Indexed: 10/15/2022] Open
Abstract
Background Schizophrenia is widely recognized as a neurodevelopmental disorder. Abnormal cortical development in otherwise typically developing children and adolescents may be revealed using polygenic risk scores for schizophrenia (PRS-SCZ). Methods We assessed PRS-SCZ and cortical morphometry in typically developing children and adolescents (3-21 years, 46.8% female) using whole-genome genotyping and T1-weighted magnetic resonance imaging (n = 390) from the PING (Pediatric Imaging, Neurocognition, and Genetics) cohort. We contextualized the findings using 1) age-matched transcriptomics, 2) histologically defined cytoarchitectural types and functionally defined networks, and 3) case-control differences of schizophrenia and other major psychiatric disorders derived from meta-analytic data of 6 ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) working groups, including a total of 12,876 patients and 15,670 control participants. Results Higher PRS-SCZ was associated with greater cortical thickness, which was most prominent in areas with heightened gene expression of dendrites and synapses. PRS-SCZ-related increases in vertexwise cortical thickness were mainly distributed in association cortical areas, particularly the ventral attention network, while relatively sparing koniocortical type cortex (i.e., primary sensory areas). The large-scale pattern of cortical thickness increases related to PRS-SCZ mirrored the pattern of cortical thinning in schizophrenia and mood-related psychiatric disorders derived from the ENIGMA consortium. Age group models illustrate a possible trajectory from PRS-SCZ-associated cortical thickness increases in early childhood toward thinning in late adolescence, with the latter resembling the adult brain phenotype of schizophrenia. Conclusions Collectively, combining imaging genetics with multiscale mapping, our work provides novel insight into how genetic risk for schizophrenia affects the cortex early in life.
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Affiliation(s)
- Matthias Kirschner
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Casey Paquola
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany
| | | | - Uku Vainik
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
- Institute of Psychology, Faculty of Social Sciences, Tartu, Estonia
| | - Neha Bhutani
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | | | - Foivos Georgiadis
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
| | - Noor B. Al-Sharif
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Boris C. Bernhardt
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Alan C. Evans
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
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Fan YS, Xu Y, Bayrak Ş, Shine JM, Wan B, Li H, Li L, Yang S, Meng Y, Valk SL, Chen H. Macroscale Thalamic Functional Organization Disturbances and Underlying Core Cytoarchitecture in Early-Onset Schizophrenia. Schizophr Bull 2023; 49:1375-1386. [PMID: 37078906 PMCID: PMC10483446 DOI: 10.1093/schbul/sbad048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia is a polygenetic mental disorder with heterogeneous positive and negative symptom constellations, and is associated with abnormal cortical connectivity. The thalamus has a coordinative role in cortical function and is key to the development of the cerebral cortex. Conversely, altered functional organization of the thalamus might relate to overarching cortical disruptions in schizophrenia, anchored in development. STUDY DESIGN Here, we contrasted resting-state fMRI in 86 antipsychotic-naive first-episode early-onset schizophrenia (EOS) patients and 91 typically developing controls to study whether macroscale thalamic organization is altered in EOS. Employing dimensional reduction techniques on thalamocortical functional connectome (FC), we derived lateral-medial and anterior-posterior thalamic functional axes. STUDY RESULTS We observed increased segregation of macroscale thalamic functional organization in EOS patients, which was related to altered thalamocortical interactions both in unimodal and transmodal networks. Using an ex vivo approximation of core-matrix cell distribution, we found that core cells particularly underlie the macroscale abnormalities in EOS patients. Moreover, the disruptions were associated with schizophrenia-related gene expression maps. Behavioral and disorder decoding analyses indicated that the macroscale hierarchy disturbances might perturb both perceptual and abstract cognitive functions and contribute to negative syndromes in patients. CONCLUSIONS These findings provide mechanistic evidence for disrupted thalamocortical system in schizophrenia, suggesting a unitary pathophysiological framework.
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Affiliation(s)
- Yun-Shuang Fan
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Şeyma Bayrak
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - James M Shine
- Brain and Mind Center, The University of Sydney, Sydney, Australia
| | - Bin Wan
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Centre Jülich, Jülich, Germany
- International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom), Leipzig, Germany
| | - Haoru Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Liang Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Siqi Yang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yao Meng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Sofie L Valk
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Centre Jülich, Jülich, Germany
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
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Perez-Palomar B, Erdozain AM, Erkizia-Santamaría I, Ortega JE, Meana JJ. Maternal Immune Activation Induces Cortical Catecholaminergic Hypofunction and Cognitive Impairments in Offspring. J Neuroimmune Pharmacol 2023; 18:348-365. [PMID: 37208550 PMCID: PMC10577104 DOI: 10.1007/s11481-023-10070-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/12/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND Impairment of specific cognitive domains in schizophrenia has been associated with prefrontal cortex (PFC) catecholaminergic deficits. Among other factors, prenatal exposure to infections represents an environmental risk factor for schizophrenia development in adulthood. However, it remains largely unknown whether the prenatal infection-induced changes in the brain may be associated with concrete switches in a particular neurochemical circuit, and therefore, if they could alter behavioral functions. METHODS In vitro and in vivo neurochemical evaluation of the PFC catecholaminergic systems was performed in offspring from mice undergoing maternal immune activation (MIA). The cognitive status was also evaluated. Prenatal viral infection was mimicked by polyriboinosinic-polyribocytidylic acid (poly(I:C)) administration to pregnant dams (7.5 mg/kg i.p., gestational day 9.5) and consequences were evaluated in adult offspring. RESULTS MIA-treated offspring showed disrupted recognition memory in the novel object recognition task (t = 2.30, p = 0.031). This poly(I:C)-based group displayed decreased extracellular dopamine (DA) concentrations compared to controls (t = 3.17, p = 0.0068). Potassium-evoked release of DA and noradrenaline (NA) were impaired in the poly(I:C) group (DA: Ft[10,90] = 43.33, p < 0.0001; Ftr[1,90] = 1.224, p = 0.2972; Fi[10,90] = 5.916, p < 0.0001; n = 11); (NA: Ft[10,90] = 36.27, p < 0.0001; Ftr[1,90] = 1.841, p = 0.208; Fi[10,90] = 8.686, p < 0.0001; n = 11). In the same way, amphetamine-evoked release of DA and NA were also impaired in the poly(I:C) group (DA: Ft[8,328] = 22.01, p < 0.0001; Ftr[1,328] = 4.507, p = 0.040; Fi[8,328] = 2.319, p = 0.020; n = 43); (NA: Ft[8,328] = 52.07; p < 0.0001; Ftr[1,328] = 4.322; p = 0.044; Fi[8,398] = 5.727; p < 0.0001; n = 43). This catecholamine imbalance was accompanied by increased dopamine D1 and D2 receptor expression (t = 2.64, p = 0.011 and t = 3.55, p = 0.0009; respectively), whereas tyrosine hydroxylase, DA and NA tissue content, DA and NA transporter (DAT/NET) expression and function were unaltered. CONCLUSIONS MIA induces in offspring a presynaptic catecholaminergic hypofunction in PFC with cognitive impairment. This poly(I:C)-based model reproduces catecholamine phenotypes reported in schizophrenia and represents an opportunity for the study of cognitive impairment associated to this disorder.
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Affiliation(s)
- Blanca Perez-Palomar
- Department of Pharmacology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, E-48940, Spain
- Centro de Investigación Biomédica en Red de Salud Mental CIBERSAM, ISCIII, Leioa, Spain
- Biocruces Bizkaia Health Research Institute, Bizkaia, Spain
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, 63110, USA
- Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, 63110, USA
| | - Amaia M Erdozain
- Department of Pharmacology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, E-48940, Spain
- Centro de Investigación Biomédica en Red de Salud Mental CIBERSAM, ISCIII, Leioa, Spain
| | - Ines Erkizia-Santamaría
- Department of Pharmacology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, E-48940, Spain
| | - Jorge E Ortega
- Department of Pharmacology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, E-48940, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental CIBERSAM, ISCIII, Leioa, Spain.
- Biocruces Bizkaia Health Research Institute, Bizkaia, Spain.
| | - J Javier Meana
- Department of Pharmacology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, E-48940, Spain
- Centro de Investigación Biomédica en Red de Salud Mental CIBERSAM, ISCIII, Leioa, Spain
- Biocruces Bizkaia Health Research Institute, Bizkaia, Spain
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Fakheir Y, Khalil R. The effects of abnormal visual experience on neurodevelopmental disorders. Dev Psychobiol 2023; 65:e22408. [PMID: 37607893 DOI: 10.1002/dev.22408] [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: 01/17/2023] [Revised: 05/14/2023] [Accepted: 06/13/2023] [Indexed: 08/24/2023]
Abstract
Normal visual development is supported by intrinsic neurobiological mechanisms and by appropriate stimulation from the environment, both of which facilitate the maturation of visual functions. However, an offset of this balance can give rise to visual disorders. Therefore, understanding the factors that support normal vision during development and in the mature brain is important, as vision guides movement, enables social interaction, and allows children to recognize and understand their environment. In this paper, we review fundamental mechanisms that support the maturation of visual functions and discuss and draw links between the perceptual and neurobiological impairments in autism spectrum disorder (ASD) and schizophrenia. We aim to explore how this is evident in the case of ASD, and how perceptual and neurobiological deficits further degrade social ability. Furthermore, we describe the altered perceptual experience of those with schizophrenia and evaluate theories of the underlying neural deficits that alter perception.
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Affiliation(s)
- Yara Fakheir
- Department of Biology, Chemistry, and Environmental Sciences, American University of Sharjah, Sharjah, UAE
| | - Reem Khalil
- Department of Biology, Chemistry, and Environmental Sciences, American University of Sharjah, Sharjah, UAE
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Dor-Nedonsel E, Fernandez A, Menard ML, Manera V, Laure G, Thümmler S, Askenazy F. Early-onset schizophrenia: studying the links between cognitive and clinical dimensions. Cogn Neuropsychiatry 2023; 28:377-390. [PMID: 37819235 DOI: 10.1080/13546805.2023.2266871] [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: 12/01/2021] [Accepted: 08/30/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Early-onset schizophrenia (EOS), a rare and severe chronic psychiatric condition, is defined by an onset of schizophrenia symptoms before the age of 18. Core symptoms also include cognitive impairments. However, little is known about links between psychiatric symptoms of EOS and cognitive abilities. OBJECTIVE To explore the clinical and neurocognitive profiles of EOS patients and their links. METHOD EOS patients have been phenotyped using standardised psychiatric assessments for DSM-5 diagnoses (K-SADS-PL) and for symptoms (PANSS and SANS), together with neurocognitive evaluations. RESULTS The EOS sample (n = 27, 12.4 +/-3.2 years) presented hallucinations (83%), negative symptoms (70%) and delusion (59%). 81% of patients presented comorbidities such as anxiety disorders (33%), autism spectrum disorder (26%) and attention-deficit hyperactivity disorder (26%). Patients presented borderline intellectual deficiency (total IQ = 72.5 +/-4.7), with low performances in working memory subtest. We highlight a positive correlation between the IQ and intensity of positive symptoms (PANSS) and between the IQ and a first treatment being administered at an older age. We also highlight a negative correlation between the IQ and attention items of SANS. CONCLUSION Cognitive skills are correlated with symptom intensity in EOS patients. An older age of onset seems to be a protective factor for cognitive development.
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Affiliation(s)
- Emmanuelle Dor-Nedonsel
- University Department of Child and Adolescent Psychiatry, Children's Hospitals of Nice CHU-Lenval, Nice, France
- Université Côte d'Azur, CoBTek, France
| | - Arnaud Fernandez
- University Department of Child and Adolescent Psychiatry, Children's Hospitals of Nice CHU-Lenval, Nice, France
- Université Côte d'Azur, CoBTek, France
| | - Marie-Line Menard
- University Department of Child and Adolescent Psychiatry, Children's Hospitals of Nice CHU-Lenval, Nice, France
- Université Côte d'Azur, CoBTek, France
| | | | - Gaëlle Laure
- University Department of Child and Adolescent Psychiatry, Children's Hospitals of Nice CHU-Lenval, Nice, France
| | - Susanne Thümmler
- University Department of Child and Adolescent Psychiatry, Children's Hospitals of Nice CHU-Lenval, Nice, France
- Université Côte d'Azur, CoBTek, France
| | - Florence Askenazy
- University Department of Child and Adolescent Psychiatry, Children's Hospitals of Nice CHU-Lenval, Nice, France
- Université Côte d'Azur, CoBTek, France
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Shafiei G, Keller AS, Bertolero M, Shanmugan S, Bassett DS, Chen AA, Covitz S, Houghton A, Luo A, Mehta K, Salo T, Shinohara RT, Fair D, Hallquist MN, Satterthwaite TD. Generalizable links between symptoms of borderline personality disorder and functional connectivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.03.551534. [PMID: 37662311 PMCID: PMC10473667 DOI: 10.1101/2023.08.03.551534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Background | Symptoms of borderline personality disorder (BPD) often manifest in adolescence, yet the underlying relationship between these debilitating symptoms and the development of functional brain networks is not well understood. Here we aimed to investigate how multivariate patterns of functional connectivity are associated with symptoms of BPD in a large sample of young adults and adolescents. Methods | We used high-quality functional Magnetic Resonance Imaging (fMRI) data from young adults from the Human Connectome Project: Young Adults (HCP-YA; N = 870, ages 22-37 years, 457 female) and youth from the Human Connectome Project: Development (HCP-D; N = 223, age range 16-21 years, 121 female). A previously validated BPD proxy score was derived from the NEO Five Factor Inventory (NEO-FFI). A ridge regression model with 10-fold cross-validation and nested hyperparameter tuning was trained and tested in HCP-YA to predict BPD scores in unseen data from regional functional connectivity, while controlling for in-scanner motion, age, and sex. The trained model was further tested on data from HCP-D without further tuning. Finally, we tested how the connectivity patterns associated with BPD aligned with age-related changes in connectivity. Results | Multivariate functional connectivity patterns significantly predicted out-of-sample BPD proxy scores in unseen data in both young adults (HCP-YA; pperm = 0.001) and older adolescents (HCP-D; pperm = 0.001). Predictive capacity of regions was heterogeneous; the most predictive regions were found in functional systems relevant for emotion regulation and executive function, including the ventral attention network. Finally, regional functional connectivity patterns that predicted BPD proxy scores aligned with those associated with development in youth. Conclusion | Individual differences in functional connectivity in developmentally-sensitive regions are associated with the symptoms of BPD.
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Affiliation(s)
- Golia Shafiei
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Arielle S. Keller
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Maxwell Bertolero
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sheila Shanmugan
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dani S. Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
- Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104
- Santa Fe Institute, Santa Fe, NM 87501
| | - Andrew A. Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics,Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sydney Covitz
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
| | - Audrey Luo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kahini Mehta
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Taylor Salo
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Russell T. Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics,Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Damien Fair
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
- Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA
| | - Michael N. Hallquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Theodore D. Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Kochunov P, Ma Y, Hatch KS, Gao S, Acheson A, Jahanshad N, Thompson PM, Adhikari BM, Bruce H, Van der Vaart A, Chiappelli J, Du X, Sotiras A, Kvarta MD, Ma T, Chen S, Hong LE. Ancestral, Pregnancy, and Negative Early-Life Risks Shape Children's Brain (Dis)similarity to Schizophrenia. Biol Psychiatry 2023; 94:332-340. [PMID: 36948435 PMCID: PMC10511664 DOI: 10.1016/j.biopsych.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/07/2023] [Accepted: 03/07/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND Familial, obstetric, and early-life environmental risks for schizophrenia spectrum disorder (SSD) alter normal cerebral development, leading to the formation of characteristic brain deficit patterns prior to onset of symptoms. We hypothesized that the insidious effects of these risks may increase brain similarity to adult SSD deficit patterns in prepubescent children. METHODS We used data collected by the Adolescent Brain Cognitive Development (ABCD) Study (N = 8940, age = 9.9 ± 0.1 years, 4307/4633 female/male), including 727 (age = 9.9 ± 0.1 years, 351/376 female/male) children with family history of SSD, to evaluate unfavorable cerebral effects of ancestral SSD history, pre/perinatal environment, and negative early-life environment. We used a regional vulnerability index to measure the alignment of a child's cerebral patterns with the adult SSD pattern derived from a large meta-analysis of case-control differences. RESULTS In children with a family history of SSD, the regional vulnerability index captured significantly more variance in ancestral history than traditional whole-brain and regional brain measurements. In children with and without family history of SSD, the regional vulnerability index also captured more variance associated with negative pre/perinatal environment and early-life experiences than traditional brain measurements. CONCLUSIONS In summary, in a cohort in which most children will not develop SSD, familial, pre/perinatal, and early developmental risks can alter brain patterns in the direction observed in adult patients with SSD. Individual similarity to adult SSD patterns may provide an early biomarker of the effects of genetic and developmental risks on the brain prior to psychotic or prodromal symptom onset.
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Affiliation(s)
- Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
| | - Yizhou Ma
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Kathryn S Hatch
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Ashley Acheson
- Department of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California
| | - Bhim M Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Andrew Van der Vaart
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Joshua Chiappelli
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Aris Sotiras
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Mark D Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Tianzhou Ma
- Department of Epidemiology and Biostatistics, University of Maryland, College Park, Maryland
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
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