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Vessels T, Strayer N, Lee H, Choi KW, Zhang S, Han L, Morley TJ, Smoller JW, Xu Y, Ruderfer DM. Integrating Electronic Health Records and Polygenic Risk to Identify Genetically Unrelated Comorbidities of Schizophrenia That May Be Modifiable. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:100297. [PMID: 38645405 PMCID: PMC11033077 DOI: 10.1016/j.bpsgos.2024.100297] [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: 11/22/2023] [Revised: 02/07/2024] [Accepted: 02/11/2024] [Indexed: 04/23/2024] Open
Abstract
Background Patients with schizophrenia have substantial comorbidity that contributes to reduced life expectancy of 10 to 20 years. Identifying modifiable comorbidities could improve rates of premature mortality. Conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore are enriched for potentially modifiable associations. Methods Phenome-wide comorbidity was calculated from electronic health records of 250,000 patients across 2 independent health care institutions (Vanderbilt University Medical Center and Mass General Brigham); associations with schizophrenia polygenic risk scores were calculated across the same phenotypes in linked biobanks. Results Schizophrenia comorbidity was significantly correlated across institutions (r = 0.85), and the 77 identified comorbidities were consistent with prior literature. Overall, comorbidity and polygenic risk score associations were significantly correlated (r = 0.55, p = 1.29 × 10-118). However, directly testing for the absence of genetic effects identified 36 comorbidities that had significantly equivalent schizophrenia polygenic risk score distributions between cases and controls. This set included phenotypes known to be consequences of antipsychotic medications (e.g., movement disorders) or of the disease such as reduced hygiene (e.g., diseases of the nail), thereby validating the approach. It also highlighted phenotypes with less clear causal relationships and minimal genetic effects such as tobacco use disorder and diabetes. Conclusions This work demonstrates the consistency and robustness of electronic health record-based schizophrenia comorbidities across independent institutions and with the existing literature. It identifies known and novel comorbidities with an absence of shared genetic risk, indicating other causes that may be modifiable and where further study of causal pathways could improve outcomes for patients.
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Affiliation(s)
- Tess Vessels
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Nicholas Strayer
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hyunjoon Lee
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Karmel W. Choi
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Siwei Zhang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Lide Han
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Theodore J. Morley
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jordan W. Smoller
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Yaomin Xu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Douglas M. Ruderfer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
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Vessels T, Strayer N, Choi KW, Lee H, Zhang S, Han L, Morley TJ, Smoller JW, Xu Y, Ruderfer DM. Identifying modifiable comorbidities of schizophrenia by integrating electronic health records and polygenic risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.01.23290057. [PMID: 37333378 PMCID: PMC10274978 DOI: 10.1101/2023.06.01.23290057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Patients with schizophrenia have substantial comorbidity contributing to reduced life expectancy of 10-20 years. Identifying which comorbidities might be modifiable could improve rates of premature mortality in this population. We hypothesize that conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore potentially modifiable. To test this hypothesis, we calculated phenome-wide comorbidity from electronic health records (EHR) in 250,000 patients in each of two independent health care institutions (Vanderbilt University Medical Center and Mass General Brigham) and association with schizophrenia polygenic risk scores (PRS) across the same phenotypes (phecodes) in linked biobanks. Comorbidity with schizophrenia was significantly correlated across institutions (r = 0.85) and consistent with prior literature. After multiple test correction, there were 77 significant phecodes comorbid with schizophrenia. Overall, comorbidity and PRS association were highly correlated (r = 0.55, p = 1.29×10-118), however, 36 of the EHR identified comorbidities had significantly equivalent schizophrenia PRS distributions between cases and controls. Fifteen of these lacked any PRS association and were enriched for phenotypes known to be side effects of antipsychotic medications (e.g., "movement disorders", "convulsions", "tachycardia") or other schizophrenia related factors such as from smoking ("bronchitis") or reduced hygiene (e.g., "diseases of the nail") highlighting the validity of this approach. Other phenotypes implicated by this approach where the contribution from shared common genetic risk with schizophrenia was minimal included tobacco use disorder, diabetes, and dementia. This work demonstrates the consistency and robustness of EHR-based schizophrenia comorbidities across independent institutions and with the existing literature. It identifies comorbidities with an absence of shared genetic risk indicating other causes that might be more modifiable and where further study of causal pathways could improve outcomes for patients.
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Affiliation(s)
- Tess Vessels
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
| | - Nicholas Strayer
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN
| | - Karmel W. Choi
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston MA
| | - Hyunjoon Lee
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston MA
| | - Siwei Zhang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN
| | - Lide Han
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
| | - Theodore J. Morley
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
| | - Jordan W. Smoller
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston MA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
| | - Yaomin Xu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN
| | - Douglas M. Ruderfer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN
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Khan SS, Khatik GL, Datusalia AK. Strategies for Treatment of Disease-Associated Dementia Beyond Alzheimer's Disease: An Update. Curr Neuropharmacol 2023; 21:309-339. [PMID: 35410602 PMCID: PMC10190146 DOI: 10.2174/1570159x20666220411083922] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/27/2022] [Accepted: 04/03/2022] [Indexed: 11/22/2022] Open
Abstract
Memory, cognition, dementia, and neurodegeneration are complexly interlinked processes with various mechanistic pathways, leading to a range of clinical outcomes. They are strongly associated with pathological conditions like Alzheimer's disease, Parkinson's disease, schizophrenia, and stroke and are a growing concern for their timely diagnosis and management. Several cognitionenhancing interventions for management include non-pharmacological interventions like diet, exercise, and physical activity, while pharmacological interventions include medicinal agents, herbal agents, and nutritional supplements. This review critically analyzed and discussed the currently available agents under different drug development phases designed to target the molecular targets, including cholinergic receptor, glutamatergic system, GABAergic targets, glycine site, serotonergic targets, histamine receptors, etc. Understanding memory formation and pathways involved therein aids in opening the new gateways to treating cognitive disorders. However, clinical studies suggest that there is still a dearth of knowledge about the pathological mechanism involved in neurological conditions, making the dropouts of agents from the initial phases of the clinical trial. Hence, a better understanding of the disease biology, mode of drug action, and interlinked mechanistic pathways at a molecular level is required.
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Affiliation(s)
- Sabiya Samim Khan
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER) Raebareli, Lucknow (UP) India
| | - Gopal L. Khatik
- Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research (NIPER) Raebareli, Lucknow (UP) India
| | - Ashok K. Datusalia
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER) Raebareli, Lucknow (UP) India
- Department of Regulatory Toxicology, National Institute of Pharmaceutical Education and Research (NIPER) Raebareli, Lucknow (UP) India
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Dong L, Wang J, Liu C, Li J, Mao C, Huang X, Chu S, Peng B, Cui L, Gao J. Genetic Spectrum and Clinical Heterogeneity of Chinese Frontotemporal Dementia Patients: Data from PUMCH Dementia Cohort. J Alzheimers Dis 2022; 89:893-901. [PMID: 35964197 PMCID: PMC9535560 DOI: 10.3233/jad-220594] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: There are relatively few data on the genetic spectrum of Chinese frontotemporal dementia (FTD) population. Objective: With the dementia cohort of Peking Union Medical College Hospital, we aim to illustrate the genetic spectrum of FTD patients, as well as the phenotypic heterogeneity of FTD-gene variant carriers. Methods: 204 unrelated, clinically diagnosed FTD patients of Chinese ancestry were enrolled. All the participants received demographic survey, history inquiry, physical examination, cognitive assessment, blood biochemical test, brain CT/MRI, and gene sequencing. Results: 56.4% (115/204) participants were clinically diagnosed with behavioral variant of FTD, 20.6% (42/204) with nonfluent/agrammatic variant primary progressive aphasia (PPA), 20.1% (41/204) with semantic variant PPA, and 2.9% (6/204) with mixed variant PPA. 11.8% (24/204) subjects harbored the potential causative variants in FTD-related genes, including the MAPT (n = 7), TBK1 (n = 7), GRN (n = 2), TBK1+GRN (n = 1), VCP (n = 1), TARDBP (n = 1), UBQLN2 (n = 1), SQSTM1 (n = 1), DCTN1 (n = 1), HNRNPA1 (n = 1), and C9orf72 GGGGCC repeats (n = 1). The TBK1 T31fs, T457fs, K622fs, c.359-1G>A, the VCP P188T, and the GRN P50fs, P439fs were novel pathogenic/likely pathogenic variants. The TBK1 carriers showed a later disease onset and a higher incidence of parietal atrophy relative to the MAPTcarriers. Conclusion: There is genetic and clinical heterogeneity among Chinese FTD population. The TBK1 has a high mutation frequency in Chinese FTD patients.
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Affiliation(s)
- Liling Dong
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Wang
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Caiyan Liu
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Li
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chenhui Mao
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinying Huang
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shanshan Chu
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Peng
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liying Cui
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Gao
- Neurology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Ulugut H, Trieu C, Groot C, van 't Hooft JJ, Tijms BM, Scheltens P, Ossenkoppele R, Barkhof F, van den Heuvel OA, Pijnenburg YAL. Overlap of Neuroanatomical Involvement in Frontotemporal Dementia and Primary Psychiatric Disorders: A Meta-analysis. Biol Psychiatry 2022; 93:820-828. [PMID: 35965106 DOI: 10.1016/j.biopsych.2022.05.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/05/2022] [Accepted: 05/31/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Despite significant symptomatic overlap between behavioral variant frontotemporal dementia (bvFTD) and primary psychiatric disorders (PPDs), a potential overlap in their structural anatomical changes has not been studied systematically. METHODS In this magnetic resonance imaging-based meta-analysis, we included studies on bvFTD, schizophrenia, bipolar disorder, and autism spectrum disorder that 1) used voxel-based morphometry analysis to assess regional gray matter volumes (GMVs) and 2) reported the coordinates of the regional GMV. Separate analyses were performed comparing clusters of coordinate-based changes in the GMVs (n = 24,183) between patients and control subjects, and overlapping brain regions between bvFTD and each PPD were examined. RESULTS We found that GMV alterations in the prefrontal and anterior cingulate cortices, temporal lobe, amygdala, and insula comprise the transdiagnostic brain alterations in bvFTD and PPD. CONCLUSIONS Our meta-analysis revealed significant anatomical overlap that paves the way for future investigations of shared pathophysiological pathways, and our cross-disorder approach would provide new insights to better understand the relationship between bvFTD and PPD.
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Affiliation(s)
- Hulya Ulugut
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Calvin Trieu
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Colin Groot
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jochum J van 't Hooft
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Betty M Tijms
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip Scheltens
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Clinical Memory Research Unit, Lunds Universitet, Lund, Sweden
| | - Frederik Barkhof
- Radiology and Nuclear Medicine, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; University College London, Institutes of Neurology and Healthcare Engineering, London, United Kingdom
| | - Odile A van den Heuvel
- Department of Psychiatry, Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Li C, Pang D, Lin J, Yang T, Shang H. Shared genetic links between frontotemporal dementia and psychiatric disorders. BMC Med 2022; 20:131. [PMID: 35509074 PMCID: PMC9069762 DOI: 10.1186/s12916-022-02335-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 03/14/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Epidemiological and clinical studies have suggested comorbidity between frontotemporal dementia (FTD) and psychiatric disorders. FTD patients carrying specific mutations were at higher risk for some psychiatric disorders, and vice versa, implying potential shared genetic etiology, which is still less explored. METHODS We examined the genetic correlation using summary statistics from genome-wide association studies and analyzed their genetic enrichment leveraging the conditional false discovery rate method. Furthermore, we explored the causal association between FTD and psychiatric disorders with Mendelian randomization (MR) analysis. RESULTS We identified a significant genetic correlation between FTD and schizophrenia at both genetic and transcriptomic levels. Meanwhile, robust genetic enrichment was observed between FTD and schizophrenia and alcohol use disorder. Seven shared genetic loci were identified, which were mainly involved in interleukin-induced signaling, synaptic vesicle, and brain-derived neurotrophic factor signaling pathways. By integrating cis-expression quantitative trait loci analysis, we identified MAPT and CADM2 as shared risk genes. MR analysis showed mutual causation between FTD and schizophrenia with nominal association. CONCLUSIONS Our findings provide evidence of shared etiology between FTD and schizophrenia and indicate potential common molecular mechanisms contributing to the overlapping pathophysiological and clinical characteristics. Our results also demonstrate the essential role of autoimmunity in these diseases. These findings provide a better understanding of the pleiotropy between FTD and psychiatric disorders and have implications for therapeutic trials.
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Affiliation(s)
- Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Dejiang Pang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Junyu Lin
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Tianmi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, Sichuan, China.
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Bendayan R, Mascio A, Stewart R, Roberts A, Dobson RJ. Cognitive Trajectories in Comorbid Dementia With Schizophrenia or Bipolar Disorder: The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register. Am J Geriatr Psychiatry 2021; 29:604-616. [PMID: 33250337 PMCID: PMC8169045 DOI: 10.1016/j.jagp.2020.10.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/30/2020] [Accepted: 10/30/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVES We aimed to compare trajectories of cognitive performance in individuals diagnosed with dementia with and without severe mental illness (SMI). DESIGN Retrospective cohort study. SETTING We used data from a large longitudinal mental healthcare case register, the Clinical Record Interactive Search (CRIS), at the South London and Maudsley NHS Foundation Trust (SLaM) which provides mental health services to four south London boroughs. PARTICIPANTS Our sample (N = 4718) consisted of any individual who had a primary or secondary diagnosis of dementia from 2007 to 2018, was 50 years old or over at first diagnosis of dementia and had at least 3 recorded Mini-Mental State Examination (MMSE) scores. MEASUREMENTS Cognitive performance was measured using MMSE. Linear mixed models were fitted to explore whether MMSE trajectories differed between individuals with or without prior/current SMI diagnoses. Models were adjusted by socio-demographics, cardiovascular risk, smoking, and medication. RESULTS AND CONCLUSIONS Our results showed differences in the rate of change, where individuals with comorbid SMI had a faster decline when compared with those that have dementia without comorbid SMI. However, this association was partially attenuated when adjusted by socio-demographics, smoking and cardiovascular risk factors; and more substantially attenuated when medication was included in models. Additional analyses showed that this accelerated decline might be more evident in individuals with bipolar disorders. Future research to detangle the potential biological underlying mechanisms of these associations is needed.
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Affiliation(s)
- Rebecca Bendayan
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom.
| | - Aurelie Mascio
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom
| | - Robert Stewart
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (RS), King's College London, London, United Kingdom
| | - Angus Roberts
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom
| | - Richard J Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom; Institute of Health Informatics (RJD), University College London, London, United Kingdom
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8
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Benussi A, Dell'Era V, Cantoni V, Cotelli MS, Cosseddu M, Spallazzi M, Alberici A, Padovani A, Borroni B. Neurophysiological Correlates of Positive and Negative Symptoms in Frontotemporal Dementia. J Alzheimers Dis 2021; 73:1133-1142. [PMID: 31884481 DOI: 10.3233/jad-190986] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND The neural correlates of behavioral symptoms in frontotemporal dementia (FTD) are still to be elucidated. Neurotransmitter abnormalities could be correlated to the pathophysiology of negative and positive symptoms in FTD. OBJECTIVE To evaluate if the imbalance between inhibitory and excitatory cortical circuits, evaluated with transcranial magnetic stimulation (TMS), correlate with the magnitude of negative and positive symptoms, as measured by Frontal Behavioral Inventory (FBI) scores, in patients with FTD. METHODS Paired-pulse TMS was used to investigate the activity of different intracortical circuits in 186 FTD patients (130 bvFTD, 35 avPPA, 21 svPPA). We applied short interval intracortical inhibition (SICI - GABAAergic transmission), intracortical facilitation (ICF - glutamatergic transmission), long interval intracortical inhibition (LICI - GABABergic transmission), and short latency afferent inhibition (SAI - cholinergic transmission). Linear and stepwise multiple regression analysis were used to determine the contribution of each neurophysiological measures to the total variance of FBI scores. RESULTS At the stepwise multivariate analysis, we observed a significant negative correlation between FBI-A scores (negative symptoms) and ICF (β = -0.57, p < 0.001, adjusted R2 = 0.32). For FBI-B scores (positive symptoms), we observed a significant positive correlation for SICI (β = 0.84, p < 0.001, adjusted R2 = 0.56). Significant correlations were observed for single items of the FBI-A score with ICF and FBI-B scores with SICI, with a medium-large size effect for several items. CONCLUSIONS The present study shows that the imbalance between inhibitory and excitatory intracortical circuits, evaluated with TMS, correlated with the magnitude of negative and positive symptoms in FTD, respectively.
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Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Valentina Dell'Era
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Valentina Cantoni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | | | - Maura Cosseddu
- Neurology Unit, Spedali Civili di Brescia, Brescia, Italy
| | - Marco Spallazzi
- Department of Medicine and Surgery, Section of Neurology, Azienda Ospedaliero-Universitaria, Parma, Italy
| | | | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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9
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Cipriani G, Danti S, Nuti A, Di Fiorino M, Cammisuli DM. Is that schizophrenia or frontotemporal dementia? Supporting clinicians in making the right diagnosis. Acta Neurol Belg 2020; 120:799-804. [PMID: 32314269 DOI: 10.1007/s13760-020-01352-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/31/2020] [Indexed: 01/01/2023]
Abstract
Schizophrenia (SCH) and frontotemporal dementia (FTD) are neurobehavioral syndromes characterized by a profound alteration in personal and social conduct. Differential diagnosis between SCH and FTD remains a challenge. In this short narrative review, we summarize evidences regarding similarities and differences between these disorders to support clinicians in making the right diagnosis. Reports of FTD misdiagnosed as schizophrenia or schizophrenia-like psychosis are frequently reported in the literature. The behavioural variant of FTD (bvFTD) along with familial FTD characterized by delusions and hallucinations represent the medical conditions that best illustrate overlaps between psychiatry and neurology. Neuropsychological patterns of core deficits and anatomical and physiological brain alterations primarily concur in differencing such disorders while additional research on genetic alterations and their reflection on clinical phenotypes should be implemented in the near future. In some cases, a correct diagnosis should be made within an interdisciplinary clinical setting by complementary competences and follow-up visits to evaluate pathology evolution.
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Affiliation(s)
| | - Sabrina Danti
- Psychology Unit, Hospital of Pontedera, Pontedera, Italy
| | - Angelo Nuti
- Neurology Unit, Versilia Hospital, Lido di Camaiore, Italy
| | | | - Davide M Cammisuli
- Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan (La Statale), Milan, Italy.
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Crespi B, Dinsdale N. Autism and psychosis as diametrical disorders of embodiment. Evol Med Public Health 2019; 2019:121-138. [PMID: 31402979 PMCID: PMC6682708 DOI: 10.1093/emph/eoz021] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 07/11/2019] [Indexed: 12/12/2022] Open
Abstract
Humans have evolved an elaborate system of self-consciousness, self-identity, self-agency, and self-embodiment that is grounded in specific neurological structures including an expanded insula. Instantiation of the bodily self has been most-extensively studied via the 'rubber hand illusion', whereby parallel stimulation of a hidden true hand, and a viewed false hand, leads to the felt belief that the false hand is one's own. Autism and schizophrenia have both long been regarded as conditions centrally involving altered development of the self, but they have yet to be compared directly with regard to the self and embodiment. Here, we synthesize the embodied cognition literature for these and related conditions, and describe evidence that these two sets of disorders exhibit opposite susceptibilities from typical individuals to the rubber hand illusion: reduced on the autism spectrum and increased in schizophrenia and other psychotic-affective conditions. Moreover, the opposite illusion effects are mediated by a consilient set of associated phenomena, including empathy, interoception, anorexia risk and phenotypes, and patterns of genetic correlation. Taken together, these findings: (i) support the diametric model of autism and psychotic-affective disorders, (ii) implicate the adaptive human system of self-embodiment, and its neural bases, in neurodevelopmental disorders, and suggest new therapies and (iii) experimentally ground Bayesian predictive coding models with regard to autism compared with psychosis. Lay summary: Humans have evolved a highly developed sense of self and perception of one's own body. The 'rubber hand illusion' can be used to test individual variation in sense of self, relative to connection with others. We show that this illusion is reduced in autism spectrum disorders, and increased in psychotic and mood disorders. These findings have important implications for understanding and treatment of mental disorders.
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Affiliation(s)
- Bernard Crespi
- Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada
| | - Natalie Dinsdale
- Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada
- Department of Psychology, University of Saskatchewan, Saskatoon, SK, Canada
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11
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Protein misassembly and aggregation as potential convergence points for non-genetic causes of chronic mental illness. Mol Psychiatry 2019; 24:936-951. [PMID: 30089789 DOI: 10.1038/s41380-018-0133-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 06/10/2018] [Accepted: 06/18/2018] [Indexed: 12/13/2022]
Abstract
Chronic mental illnesses (CMI), such as schizophrenia or recurrent affective disorders, are complex conditions with both genetic and non-genetic elements. In many other chronic brain conditions, including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis and frontotemporal dementia, sporadic instances of the disease are more common than gene-driven familial cases. Yet, the pathology of these conditions can be characterized by the presence of aberrant protein homeostasis, proteostasis, resulting in misfolded or aggregated proteins in the brains of patients that predominantly do not derive from genetic mutations. While visible deposits of aggregated protein have not yet been detected in CMI patients, we propose the existence of more subtle protein misassembly in these conditions, which form a continuum with the psychiatric phenotypes found in the early stages of many neurodegenerative conditions. Such proteinopathies need not rely on genetic variation. In a similar manner to the established aberrant neurotransmitter homeostasis in CMI, aberrant homeostasis of proteins is a functional statement that can only partially be explained by, but is certainly complementary to, genetic approaches. Here, we review evidence for aberrant proteostasis signatures from post mortem human cases, in vivo animal work, and in vitro analysis of candidate proteins misassembled in CMI. The five best-characterized proteins in this respect are currently DISC1, dysbindin-1, CRMP1, TRIOBP-1, and NPAS3. Misassembly of these proteins with inherently unstructured domains is triggered by extracellular stressors and thus provides a converging point for non-genetic causes of CMI.
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12
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Schizophrenia Phenotype Preceding Behavioral Variant Frontotemporal Dementia Related to C9orf72 Repeat Expansion. Cogn Behav Neurol 2019; 32:120-123. [DOI: 10.1097/wnn.0000000000000189] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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13
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Zhao J, Cheng F, Jia P, Cox N, Denny JC, Zhao Z. An integrative functional genomics framework for effective identification of novel regulatory variants in genome-phenome studies. Genome Med 2018; 10:7. [PMID: 29378629 PMCID: PMC5789733 DOI: 10.1186/s13073-018-0513-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 01/04/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Genome-phenome studies have identified thousands of variants that are statistically associated with disease or traits; however, their functional roles are largely unclear. A comprehensive investigation of regulatory mechanisms and the gene regulatory networks between phenome-wide association study (PheWAS) and genome-wide association study (GWAS) is needed to identify novel regulatory variants contributing to risk for human diseases. METHODS In this study, we developed an integrative functional genomics framework that maps 215,107 significant single nucleotide polymorphism (SNP) traits generated from the PheWAS Catalog and 28,870 genome-wide significant SNP traits collected from the GWAS Catalog into a global human genome regulatory map via incorporating various functional annotation data, including transcription factor (TF)-based motifs, promoters, enhancers, and expression quantitative trait loci (eQTLs) generated from four major functional genomics databases: FANTOM5, ENCODE, NIH Roadmap, and Genotype-Tissue Expression (GTEx). In addition, we performed a tissue-specific regulatory circuit analysis through the integration of the identified regulatory variants and tissue-specific gene expression profiles in 7051 samples across 32 tissues from GTEx. RESULTS We found that the disease-associated loci in both the PheWAS and GWAS Catalogs were significantly enriched with functional SNPs. The integration of functional annotations significantly improved the power of detecting novel associations in PheWAS, through which we found a number of functional associations with strong regulatory evidence in the PheWAS Catalog. Finally, we constructed tissue-specific regulatory circuits for several complex traits: mental diseases, autoimmune diseases, and cancer, via exploring tissue-specific TF-promoter/enhancer-target gene interaction networks. We uncovered several promising tissue-specific regulatory TFs or genes for Alzheimer's disease (e.g. ZIC1 and STX1B) and asthma (e.g. CSF3 and IL1RL1). CONCLUSIONS This study offers powerful tools for exploring the functional consequences of variants generated from genome-phenome association studies in terms of their mechanisms on affecting multiple complex diseases and traits.
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Affiliation(s)
- Junfei Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA
| | - Feixiong Cheng
- Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02215, USA
- Center for Complex Networks Research, Northeastern University, Boston, MA, 02215, USA
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA
| | - Nancy Cox
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Joshua C Denny
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 820, Houston, TX, 77030, USA.
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
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14
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Krudop WA, Dols A, Kerssens CJ, Eikelenboom P, Prins ND, Möller C, Schouws S, Rhebergen D, van Exel E, van der Flier WM, Sikkes S, Scheltens P, Stek ML, Pijnenburg YA. The Pitfall of Behavioral Variant Frontotemporal Dementia Mimics Despite Multidisciplinary Application of the FTDC Criteria. J Alzheimers Dis 2017; 60:959-975. [DOI: 10.3233/jad-170608] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Welmoed A. Krudop
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Annemieke Dols
- Department of Old Age Psychiatry, GGZInGeest/ VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, VU University Medical Center Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Cora J. Kerssens
- Department of Old Age Psychiatry, GGZInGeest/ VU University Medical Center, Amsterdam, The Netherlands
| | - Piet Eikelenboom
- Department of Old Age Psychiatry, GGZInGeest/ VU University Medical Center, Amsterdam, The Netherlands
| | - Niels D. Prins
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
- Brain Research Center, Amsterdam, The Netherlands
| | - Christiane Möller
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Sigfried Schouws
- Department of Old Age Psychiatry, GGZInGeest/ VU University Medical Center, Amsterdam, The Netherlands
| | - Didi Rhebergen
- Department of Old Age Psychiatry, GGZInGeest/ VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, VU University Medical Center Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Eric van Exel
- Department of Old Age Psychiatry, GGZInGeest/ VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, VU University Medical Center Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Sietske Sikkes
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Max L. Stek
- Department of Old Age Psychiatry, GGZInGeest/ VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, VU University Medical Center Amsterdam, The Netherlands
| | - Yolande A.L. Pijnenburg
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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15
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McCarthy-Jones S, Smailes D, Corvin A, Gill M, Morris DW, Dinan TG, Murphy KC, Anthony O Neill F, Waddington JL, Australian Schizophrenia Research Bank, Donohoe G, Dudley R. Occurrence and co-occurrence of hallucinations by modality in schizophrenia-spectrum disorders. Psychiatry Res 2017; 252:154-160. [PMID: 28273630 DOI: 10.1016/j.psychres.2017.01.102] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 12/09/2016] [Accepted: 01/17/2017] [Indexed: 11/24/2022]
Abstract
It is not only unclear why hallucinations in schizophrenia occur with different prevalence by modality, but also to what extent they do. Reliable prevalence estimates of hallucinations by modality in schizophrenia are currently lacking, particularly for non-auditory hallucinations. Studies have also tended to report lifetime, not point prevalence by modality. This study assessed the prevalence and co-occurrence of hallucinations, for both lifetime and point prevalence, across the auditory, visual, olfactory, and tactile modalities, in people diagnosed with chronic schizophrenia-spectrum disorders in Ireland (N=693) and Australia (N=218). Lifetime prevalence was 64-80% auditory, 23-31% visual, 9-19% tactile, and 6-10% olfactory. Past month prevalence was 23-27% auditory, 5-8% visual, 4-7% tactile, and 2% olfactory. The majority of participants had only hallucinated in one modality, with this nearly always being the auditory. Approximately one-third had hallucinated in two modalities, most commonly the auditory and visual. Most currently hallucinating patients also hallucinated in a single modality, again, nearly always the auditory. Whereas 30-37% of patients with lifetime auditory hallucinations had experienced visual hallucinations, 83-97% of patients with experience of visual hallucinations had experienced auditory hallucinations. These findings help delineate the modality distribution of hallucinations in schizophrenia, and provide an explanatory target for theoretical models.
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Affiliation(s)
| | - David Smailes
- Department of Psychology, Leeds Trinity University, Leeds, UK
| | - Aiden Corvin
- Department of Psychiatry, Trinity College Dublin, Ireland
| | - Michael Gill
- Department of Psychiatry, Trinity College Dublin, Ireland
| | - Derek W Morris
- School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland
| | | | - Kieran C Murphy
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - F Anthony O Neill
- Department of Psychiatry, Queen's University Belfast, Northern Ireland, UK
| | - John L Waddington
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | - Gary Donohoe
- School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Ireland
| | - Robert Dudley
- School of Psychology, Newcastle University, Newcastle, UK; Northumberland Tyne and Wear NHS Foundation Trust, UK.
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16
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Lagarde J, Sarazin M. [Reconciliating neurology and psychiatry: The prototypical case of frontotemporal dementia]. Encephale 2016; 43:471-479. [PMID: 27772665 DOI: 10.1016/j.encep.2016.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Revised: 09/04/2016] [Accepted: 09/05/2016] [Indexed: 10/20/2022]
Abstract
Frontotemporal degeneration (FTD) in its behavioral variant (bvFTD) is probably one of the conditions that best illustrates the links between psychiatry and neurology. It is indeed admitted that between a third and half of patients with this condition, especially in early-onset forms, receive an initial diagnosis of psychiatric disorder (depression, schizophrenia, bipolar disorder) and are then referred to a psychiatric ward. BvFTD can thus be considered a neurological disorder with a psychiatric presentation. Among psychiatric symptoms reported in this disease, psychotic symptoms (hallucinations, delusions, especially of persecution), which have long been underestimated in bvFTD and are not part of the current diagnostic criteria, are present in about 20% of cases and may be inaugural. They are particularly common in the genetic forms related to a mutation in the C9orf72 gene (up to 50%), and to a lesser extent in the GRN gene (up to 25%). C9orf72 gene mutation is often associated with a family history of dementia or motor neuron disease but also of psychiatric disorders. It has also been described in sporadic presentation forms. Sometimes, the moderate degree of brain atrophy on MRI described in patients carrying this mutation may complicate the differential diagnosis with late-onset psychiatric diseases. In the present article, we underline the importance of considering that psychiatric - especially psychotic - symptoms are not rare in bvFTD, which should lead to a revision of the diagnostic criteria of this disease by taking greater account of this fact. We also propose a diagnostic chart, based on concerted evaluation by neurologists and psychiatrists for cases of atypical psychiatric symptoms (late-onset or pharmacoresistant troubles) leading to consider the possibility of a neurological disorder, in order to shed a new light on these difficult clinical situations. In the field of research, bvFTD may constitute a model to explore the neural basis of certain psychiatric disorders, and a possible molecular link between bvFTD and psychoses, which could eventually lead to new therapeutic approaches, has been recently suggested. Thus, bvFTD illustrates how the links between neurology and psychiatry are close and tend to evolve with the progress of scientific knowledge. It is necessary to strengthen collaboration between the two disciplines both to improve the care - diagnosis and management of these patients - and to promote the emergence of innovative clinical research.
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Affiliation(s)
- J Lagarde
- Unité de neurologie de la mémoire et du langage, centre hospitalier Sainte-Anne, université Paris Descartes, Sorbonne Paris Cité, 1, rue Cabanis, 75014 Paris, France.
| | - M Sarazin
- Unité de neurologie de la mémoire et du langage, centre hospitalier Sainte-Anne, université Paris Descartes, Sorbonne Paris Cité, 1, rue Cabanis, 75014 Paris, France
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17
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Abstract
Although psychotic features have long been recognized in association with frontotemporal dementia (FTD), recent genetic discoveries enabling further subtyping of FTD have revealed that psychotic symptoms are frequent in some forms of FTD. Hallucinations and delusions can even precede onset of other cognitive or behavioural symptoms in patients with FTD. In this review, we explore the frequency and types of psychotic symptoms reported in patients with FTD, as well as in other neuropsychiatric disorders, to aid practitioners' consideration of these features in the diagnosis of FTD and related disorders.
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18
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Block NR, Sha SJ, Karydas AM, Fong JC, De May MG, Miller BL, Rosen HJ. Frontotemporal Dementia and Psychiatric Illness: Emerging Clinical and Biological Links in Gene Carriers. Am J Geriatr Psychiatry 2016; 24:107-16. [PMID: 26324540 PMCID: PMC4686378 DOI: 10.1016/j.jagp.2015.04.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Revised: 04/27/2015] [Accepted: 04/29/2015] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To describe psychiatric presentations in individuals with genetic mutations causing frontotemporal dementia (FTD). DESIGN Case descriptions from five carriers of FTD-related gene mutations with symptoms associated with non-neurodegenerative psychiatric disease. SETTING A comprehensive research program investigating genetic and non-genetic FTD at the University of California, San Francisco Memory and Aging Center. PARTICIPANTS Three proband and two non-proband gene carriers. MEASUREMENTS Medical history and neurological examination, neuropsychological testing, magnetic resonance and/or positron emission tomography imaging, and a genetic analysis to screen for dementia-related mutations. Genetic status was unknown at the time of initial evaluation. RESULTS The chosen cases are illustrative of the variety of presentations of psychiatric symptoms in FTD gene carriers. In some cases, a non-neurodegenerative psychiatric illness was diagnosed based on specific symptoms, but the diagnosis may have been inappropriate based on the overall syndrome. In other cases, symptoms closely resembling those seen in non-neurodegenerative psychiatric illness did occur, in some cases immediately preceding the development of dementia, and in other cases developing a decade prior to dementia symptoms. CONCLUSIONS Psychiatric symptoms in FTD gene carriers can be very similar to those seen in non-neurodegenerative psychiatric illness. Psychiatric symptoms with atypical features (e.g., late-life onset, insidiously worsening course) should prompt careful assessment for neurodegenerative disease. Guidelines for such an assessment should be established.
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Affiliation(s)
- Nikolas R. Block
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Sharon J. Sha
- Department of Neurology, Stanford Center for Memory Disorders, Stanford University
| | - Anna M. Karydas
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Jamie C. Fong
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Mary G. De May
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Bruce L. Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
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19
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Vázquez-Costa JF, Beltrán E, Sopena P, Sabater A, Cardona F, Vilchez JJ, Pérez-Tur J, Sevilla T. Clinical and neuroimaging characterization of two C9orf72-positive siblings with amyotrophic lateral sclerosis and schizophrenia. Amyotroph Lateral Scler Frontotemporal Degener 2015; 17:297-300. [PMID: 26613114 DOI: 10.3109/21678421.2015.1112407] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Juan F Vázquez-Costa
- a Neuromuscular Research Unit , Instituto de Investigación Sanitaria la Fe (IIS La Fe) , Valencia .,b Department of Neurology , Hospital Universitario y Politécnico La Fe , Valencia .,c Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)
| | - Eva Beltrán
- d Laboratory of Molecular Genetics , Institut de Biomedicina de València-CSIC , Valencia
| | - Pablo Sopena
- g Nuclear Medicine Department , Hospital Universitario y Politécnico La Fe , Valencia
| | - Ana Sabater
- h Department of Psychiatry , Hospital Universitario y Politécnico La Fe , Valencia , and
| | - Fernando Cardona
- d Laboratory of Molecular Genetics , Institut de Biomedicina de València-CSIC , Valencia .,e Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED) .,f Unidad Mixta de Investigación en Neurología y Genética Molecular , Instituto de Investigación Sanitaria La Fe (IIS La Fe) , Valencia
| | - Juan J Vilchez
- a Neuromuscular Research Unit , Instituto de Investigación Sanitaria la Fe (IIS La Fe) , Valencia .,b Department of Neurology , Hospital Universitario y Politécnico La Fe , Valencia .,c Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) .,i Department of Medicine , University of Valencia , Valencia , Spain
| | - Jordi Pérez-Tur
- d Laboratory of Molecular Genetics , Institut de Biomedicina de València-CSIC , Valencia .,e Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED) .,f Unidad Mixta de Investigación en Neurología y Genética Molecular , Instituto de Investigación Sanitaria La Fe (IIS La Fe) , Valencia
| | - Teresa Sevilla
- a Neuromuscular Research Unit , Instituto de Investigación Sanitaria la Fe (IIS La Fe) , Valencia .,b Department of Neurology , Hospital Universitario y Politécnico La Fe , Valencia .,c Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) .,i Department of Medicine , University of Valencia , Valencia , Spain
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20
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Abstract
Frontotemporal dementia (FTD) is a heterogeneous group of hereditary and sporadic neurodegenerative disorders affecting frontotemporal areas. FTD, a leading cause of young-onset dementia, is often initially mistaken for primary psychiatric disorders. Based on early and predominant symptoms, different clinical syndromes can be distinguished: the behavioral variant and 2 variants of progressive aphasia; semantic dementia and progressive nonfluent aphasia. Neuropathological classification is based on protein accumulation in the brain. Pathogenic mutations in different genes have been identified. Specific pharmacological treatment is the main research goal. Meanwhile the management must focus on early correct diagnosis, symptom alleviation, caregiver support and educational interventions.
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Affiliation(s)
- Maria Landqvist Waldö
- Section of Geriatric Psychiatry, Department of Clinical Sciences, Lund University, Klinikgatan 22, Lund SE-221 85, Sweden.
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21
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Abstract
BACKGROUND Frontotemporal dementia (FTD) constitutes a spectrum of neurodegenerative disorders associated with degeneration of, predominantly, the frontal and temporal lobes. The clinical heterogeneity is evident, and early diagnosis is a challenge. The primary objectives were to characterize psychotic symptoms, initial clinical diagnoses and family history in neuropathologically verified FTD-patients and to analyze possible correlations with different neuropathological findings. METHODS The medical records of 97 consecutive patients with a neuropathological diagnosis of frontotemporal lobar degeneration (FTLD) were reevaluated. Psychotic symptoms (hallucinations, delusions, paranoid ideas), initial diagnosis and family history for psychiatric disorders were analyzed. RESULTS Psychotic symptoms were present in 31 patients (32%). There were no significant differences in age at onset, disease duration or gender between patients with and without psychotic symptoms. Paranoid ideas were seen in 20.6%, and hallucinations and delusions in 17.5% in equal measure. Apart from a strong correlation between psychotic symptoms and predominantly right-sided brain degeneration, the majority of patients (77.4%) were tau-negative. Only 14.4% of the patients were initially diagnosed as FTD, while other types of dementia were seen in 34%, other psychiatric disorders in 42%, and 9.2% with other cognitive/neurological disorders. The patients who were initially diagnosed with a psychiatric disorder were significantly younger than the patients with other initial clinical diagnoses. A positive heredity for dementia or other psychiatric disorder was seen in 42% and 26% of the patients respectively. CONCLUSIONS Psychotic symptoms, not covered by current diagnostic criteria, are common and may lead to clinical misdiagnosis in FTD.
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22
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Chan HM, Stolwyk R, Neath J, Kelso W, Walterfang M, Mocellin R, Pantelis C, Velakoulis D. Neurocognitive similarities between severe chronic schizophrenia and behavioural variant frontotemporal dementia. Psychiatry Res 2015; 225:658-66. [PMID: 25510904 DOI: 10.1016/j.psychres.2014.11.029] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 10/25/2014] [Accepted: 11/07/2014] [Indexed: 11/15/2022]
Abstract
This study focuses on a group of patients with chronic schizophrenia who have a more severe form of the disorder, as indicated by socio-functional decline, treatment resistance, and recurrent hospitalisation. Previous research has suggested that the pattern and severity of cognitive deficits in people with severe chronic schizophrenia is similar to that observed in behavioural variant frontotemporal dementia (bvFTD). In the current study, we compared neurocognitive performance in 16 cognitive domains in 7 inpatients with severe chronic schizophrenia, 13 community-dwelling outpatients with chronic schizophrenia, 12 patients with bvFTD, and 18 healthy controls. Our findings revealed more similar cognitive profiles between the schizophrenia inpatient and bvFTD groups compared to the schizophrenia outpatient group, who outperformed the former groups. The current results provide preliminary evidence for a distinct schizophrenia subgroup, distinguishable from other chronic schizophrenia patients by poorer clinical and functional status, who have levels of cognitive impairment comparable to those seen in bvFTD patients.
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Affiliation(s)
- Hui-Minn Chan
- School of Psychological Sciences, Building 17, Wellington Road, Monash University, Clayton 3800, VIC, Australia; Neuropsychiatry Unit, John Cade Level 2, Royal Melbourne Hospital, Parkville 3050, VIC, Australia.
| | - Rene Stolwyk
- School of Psychological Sciences, Building 17, Wellington Road, Monash University, Clayton 3800, VIC, Australia
| | - Joanna Neath
- Neuropsychiatry Unit, John Cade Level 2, Royal Melbourne Hospital, Parkville 3050, VIC, Australia
| | - Wendy Kelso
- Neuropsychiatry Unit, John Cade Level 2, Royal Melbourne Hospital, Parkville 3050, VIC, Australia
| | - Mark Walterfang
- Neuropsychiatry Unit, John Cade Level 2, Royal Melbourne Hospital, Parkville 3050, VIC, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Parkville 3053, VIC, Australia
| | - Ramon Mocellin
- Neuropsychiatry Unit, John Cade Level 2, Royal Melbourne Hospital, Parkville 3050, VIC, Australia
| | - Christos Pantelis
- Adult Mental Health Rehabilitation Unit, Sunshine Hospital, St Albans 3021, VIC, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Parkville 3053, VIC, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, John Cade Level 2, Royal Melbourne Hospital, Parkville 3050, VIC, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Parkville 3053, VIC, Australia
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23
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Vakalopoulos C. The effect of deficient muscarinic signaling on commonly reported biochemical effects in schizophrenia and convergence with genetic susceptibility loci in explaining symptom dimensions of psychosis. Front Pharmacol 2014; 5:277. [PMID: 25566074 PMCID: PMC4266038 DOI: 10.3389/fphar.2014.00277] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 11/27/2014] [Indexed: 11/13/2022] Open
Abstract
With the advent of DSM 5 criticism has generally centered on a lack of biological validity of the diagnostic criteria. Part of the problem in describing a nosology of psychosis is the tacit assumption of multiple genetic causes each with an incremental loading on the clinical picture that fails to differentiate a clear underlying pathophysiology of high impact. The aim of this paper is to consolidate a primary theory of deficient muscarinic signaling underlying key clinical features of schizophrenia and its regulation by several important genetic associations including neuregulin, DISC and dysbindin. Secondary reductions in markers for GABAergic function and changes in the levels of interneuron calcium binding proteins parvalbumin and calbindin can be attributed to dysfunctional muscarinic transduction. A parallel association exists for cytokine production. The convergent pathway hypothesis is likewise used to model dopaminergic and glutamatergic theories of schizophrenia. The negative symptom dimension is correlated with dysfunction of Akt and ERK transduction, a major point of convergence. The present paradigm predicts the importance of a recent finding of a deletion in a copy number variant of PLCB1 and its potential use if replicated, as one of the first testable biological markers differentiating schizophrenia from bipolar disorder and further subtyping of schizophrenia into deficit and non-deficit. Potential limitations of PLCB1 as a prospective marker are also discussed.
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Chan HM, Stolwyk R, Kelso W, Neath J, Walterfang M, Mocellin R, Pavlis A, Velakoulis D. Comparing neurocognition in severe chronic schizophrenia and frontotemporal dementia. Aust N Z J Psychiatry 2014; 48:828-37. [PMID: 24711578 DOI: 10.1177/0004867414529477] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Previous research has suggested cognitive similarities between schizophrenia and frontotemporal dementia. In the current study, we compared neurocognition in a group of hospitalised patients with chronic schizophrenia, who may have a more severe form of schizophrenia resembling Emil Kraepelin's dementia praecox, with patients with frontotemporal dementia. We hypothesised minimal group differences in cognitive performance, and a large overlap in between-group score distributions in each cognitive domain. METHODS Retrospective neuropsychological data for 26 patients with severe chronic schizophrenia and 34 patients with frontotemporal dementia (behavioural variant) was collated. Neuropsychological measures were categorised into 16 cognitive domains. Raw scores were converted into standardised z-scores for each measure, which were then averaged across measures within each domain. In addition to difference analysis, equivalence testing was utilised, whereby overlap percentages were computed to reflect the amount of score distribution overlap in each domain between groups. RESULTS A statistically significant difference was observed only in the executive function sub-domain of Switching. Small-to-moderate and moderate effect sizes were noted in four other domains. Equivalence testing showed more than 85% of overlap in score distribution in most domains. CONCLUSIONS Our findings suggest that some patients with severe chronic schizophrenia have cognitive deficits similar in degree and pattern to patients with frontotemporal dementia. The few differences observed between both groups of patients are important for differential diagnostic purposes. One limitation is the retrospective nature of the study. Suggestions for future research include longitudinal follow-up studies of these two patient populations and studies of aspects beyond neurocognition. An implication of our findings is that the 'dementia of schizophrenia' concept may be applicable to patients with severe chronic schizophrenia.
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Affiliation(s)
- Hui-Minn Chan
- School of Psychological Sciences, Monash University, Clayton, Australia Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Rene Stolwyk
- School of Psychological Sciences, Monash University, Clayton, Australia
| | - Wendy Kelso
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Joanna Neath
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Ramon Mocellin
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Alexia Pavlis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia
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Negative symptoms, past and present: a historical perspective and moving to DSM-5. Eur Neuropsychopharmacol 2014; 24:710-24. [PMID: 24314851 DOI: 10.1016/j.euroneuro.2013.10.018] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2013] [Revised: 09/21/2013] [Accepted: 10/31/2013] [Indexed: 11/27/2022]
Abstract
The diagnosis of schizophrenia includes "positive" and "negative" symptoms. These titles were developed to respectively reflect if the symptoms are additions to normal experiences, such as delusions and hallucinations, or if they refer to the absence or the loss of normal emotional function or behavior. This paper describes the history of the negative symptom concept, from its origins up to the considerations for the DSM-5, including the steps that produced the current conceptualizations. The DSM-5 only includes deficits in emotional expression and avolition as negative symptoms, which can be assessed from interview information. Factor analyses show they encompass most other negative symptom items. In addition to using these negative symptoms in a categorical manner to make a diagnosis, the DSM-5 has quantitative severity ratings of the negative symptoms, along with ratings of delusions, cognitive symptoms, motor symptoms, disorganization, depression and mania. With this approach, the different symptom domains, including negative symptoms, can be measured and tracked over time. Another change in the DSM-5 is the dropping of the schizophrenia subtypes that have been included in earlier volumes, as they were not useful in treatment decisions or prognosis. An intended outcome of these changes in DSM-5 is for clinicians to directly treat the individual psychopathological domains of the disorder for optimizing individual outcomes. Finally, this paper includes descriptions of the negative symptom items from over a dozen different scales.
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