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Boudriot E, Gabriel V, Popovic D, Pingen P, Yakimov V, Papiol S, Roell L, Hasanaj G, Xu S, Moussiopoulou J, Priglinger S, Kern C, Schulte EC, Hasan A, Pogarell O, Falkai P, Schmitt A, Schworm B, Wagner E, Keeser D, Raabe FJ. Signature of Altered Retinal Microstructures and Electrophysiology in Schizophrenia Spectrum Disorders Is Associated With Disease Severity and Polygenic Risk. Biol Psychiatry 2024; 96:792-803. [PMID: 38679358 DOI: 10.1016/j.biopsych.2024.04.014] [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: 08/03/2023] [Revised: 03/30/2024] [Accepted: 04/14/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Optical coherence tomography and electroretinography studies have revealed structural and functional retinal alterations in individuals with schizophrenia spectrum disorders (SSDs). However, it remains unclear which specific retinal layers are affected; how the retina, brain, and clinical symptomatology are connected; and how alterations of the visual system are related to genetic disease risk. METHODS Optical coherence tomography, electroretinography, and brain magnetic resonance imaging were applied to comprehensively investigate the visual system in a cohort of 103 patients with SSDs and 130 healthy control individuals. The sparse partial least squares algorithm was used to identify multivariate associations between clinical disease phenotype and biological alterations of the visual system. The association of the revealed patterns with individual polygenic disease risk for schizophrenia was explored in a post hoc analysis. In addition, covariate-adjusted case-control comparisons were performed for each individual optical coherence tomography and electroretinography parameter. RESULTS The sparse partial least squares analysis yielded a phenotype-eye-brain signature of SSDs in which greater disease severity, longer duration of illness, and impaired cognition were associated with electrophysiological alterations and microstructural thinning of most retinal layers. Higher individual loading onto this disease-relevant signature of the visual system was significantly associated with elevated polygenic risk for schizophrenia. In case-control comparisons, patients with SSDs had lower macular thickness, thinner retinal nerve fiber and inner plexiform layers, less negative a-wave amplitude, and lower b-wave amplitude. CONCLUSIONS This study demonstrates multimodal microstructural and electrophysiological retinal alterations in individuals with SSDs that are associated with disease severity and individual polygenic burden.
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Affiliation(s)
- Emanuel Boudriot
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany
| | - Vanessa Gabriel
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - David Popovic
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany
| | - Pauline Pingen
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Vladislav Yakimov
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany
| | - Sergi Papiol
- Max Planck Institute of Psychiatry, Munich, Germany; Institute of Psychiatric Phenomics and Genomics, LMU Munich, Munich, Germany
| | - Lukas Roell
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; NeuroImaging Core Unit Munich, LMU University Hospital, LMU Munich, Munich, Germany
| | - Genc Hasanaj
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Evidence-Based Psychiatry and Psychotherapy, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Simiao Xu
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Joanna Moussiopoulou
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Siegfried Priglinger
- Department of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Christoph Kern
- Department of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics, LMU Munich, Munich, Germany; Institute of Human Genetics, University Hospital, Faculty of Medicine, University of Bonn, Bonn, Germany; Department of Psychiatry and Psychotherapy, University Hospital, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Faculty of Medicine, University of Augsburg, Augsburg, Germany; German Center for Mental Health, partner site Munich-Augsburg, Germany
| | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany; German Center for Mental Health, partner site Munich-Augsburg, Germany
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany; German Center for Mental Health, partner site Munich-Augsburg, Germany; Laboratory of Neurosciences (LIM-27), Institute of Psychiatry, University of São Paulo, São Paulo, Brazil
| | - Benedikt Schworm
- Department of Ophthalmology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Elias Wagner
- Evidence-Based Psychiatry and Psychotherapy, Faculty of Medicine, University of Augsburg, Augsburg, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; NeuroImaging Core Unit Munich, LMU University Hospital, LMU Munich, Munich, Germany; Munich Center for Neurosciences, LMU Munich, Planegg-Martinsried, Germany
| | - Florian J Raabe
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany.
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Bureau A, Berthelot N, Ricard J, Lafrance C, Jomphe V, Dioni A, Fortin-Fabbro É, Boisvert MC, Maziade M. Heterogeneity in the longitudinal courses of global functioning in children at familial risk of major psychiatric disorders: Association with trauma and familial characteristics. Bipolar Disord 2024; 26:265-276. [PMID: 37957788 DOI: 10.1111/bdi.13386] [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: 11/15/2023]
Abstract
OBJECTIVES The extent to which heterogeneity in childhood risk trajectories may underlie later heterogeneity in schizophrenia (SZ), bipolar disorder (BP), and major depressive disorder (MDD) remains a chief question. Answers may optimally be found by studying the longitudinal trajectories of children born to an affected parent. We aimed to differentiate trajectories of global functioning and their sensitive periods from the age of 6 to 17 years in children at familial risk (FHRs). METHODS First, a latent class mixed model analysis (LCMM) was applied to yearly ratings of the Children's Global Assessment Scale (CGAS) from the age of 6 to 17 years in 170 FHRs born to a parent affected by DSM-IV SZ (N = 37), BP (N = 82) or MDD (N = 51). Then, we compared the obtained Classes or trajectories of FHRs in terms of sex, parental diagnosis, IQ, child clinical status, childhood trauma, polygenic risk score (PRS), and outcome in transition to illness. RESULTS The LCMM on yearly CGAS trajectories identified a 4-class solution showing markedly different childhood and adolescence dynamic courses and temporal vulnerability windows marked by a functioning decline and a degree of specificity in parental diagnosis. Moreover, IQ, trauma exposure, PRS level, and timing of later transition to illness differentiated the trajectories. Almost half (46%) of the FHRs exhibited a good and stable global functioning trajectory. CONCLUSIONS FHRs of major psychiatric disorders show heterogeneous functional decline during development associated with parental diagnosis, polygenic risk loading, and childhood trauma.
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Affiliation(s)
- Alexandre Bureau
- Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Québec, Quebec, Canada
- Cervo Brain Research Centre, Québec, Quebec, Canada
| | - Nicolas Berthelot
- Cervo Brain Research Centre, Québec, Quebec, Canada
- Université du Québec à Trois-Rivières, Department of Nursing Sciences, Trois-Rivieres, Quebec, Canada
| | | | | | | | - Abdoulaye Dioni
- Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Québec, Quebec, Canada
| | | | | | - Michel Maziade
- Cervo Brain Research Centre, Québec, Quebec, Canada
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Québec, Quebec, Canada
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Xu XJ, Liu TL, He L, Pu B. Changes in neurotransmitter levels, brain structural characteristics, and their correlation with PANSS scores in patients with first-episode schizophrenia. World J Clin Cases 2023; 11:5215-5223. [PMID: 37621579 PMCID: PMC10445057 DOI: 10.12998/wjcc.v11.i22.5215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/15/2023] [Accepted: 07/10/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND In patients with schizophrenia, the brain structure and neurotransmitter levels change, which may be related to the occurrence and progression of this disease. AIM To explore the relationships between changes in neurotransmitters, brain structural characteristics, and the scores of the Positive and Negative Symptom Scale (PANSS) in patients with first-episode schizophrenia. METHODS The case group comprised 97 patients with schizophrenia, who were evaluated using the Canadian Neurological Scale and confirmed by laboratory tests at Ningbo Mental Hospital from January 2020 to July 2022. The control group comprised 100 healthy participants. For all participants, brain structural characteristics were explored by measuring brain dopamine (DA), glutamic acid (Glu), and gamma-aminobutyric acid (GABA) levels, with magnetic resonance imaging. The case group was divided into negative and positive symptom subgroups using PANSS scores for hierarchical analysis. Linear correlation analysis was used to analyze the correlations between neurotransmitters, brain structural characteristics, and PANSS scores. RESULTS Patients in the case group had higher levels of DA and lower levels of Glu and GABA, greater vertical and horizontal distances between the corpus callosum and the inferior part of the fornix and larger ventricle area than patients in the control group (P < 0.05). Patients with positive schizophrenia symptoms had significantly higher levels of DA, Glu, and GABA than those with negative symptoms (P < 0.05). In patients with positive schizophrenia symptoms, PANSS score was significantly positively correlated with DA, vertical and horizontal distances between the corpus callosum and the infrafornix, and ventricular area, and was significantly negatively correlated with Glu and GABA (P < 0.05). In patients with negative schizophrenia symptoms, PANSS score was significantly positively correlated with DA, vertical distance between the corpus callosum and the infrafornix, horizontal distance between the corpus callosum and the infrafornix, and ventricular area, and was significantly negatively correlated with Glu and GABA (P < 0.05). CONCLUSION In patients with first-episode schizophrenia, DA levels increased, Glu and GABA levels decreased, the thickness of the corpus callosum increased, and these variables were correlated with PANSS scores.
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Affiliation(s)
- Xian-Jia Xu
- The Fifth Ward, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
| | - Tang-Long Liu
- Department of Science and Education, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
| | - Liang He
- The Sixteenth Ward, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
| | - Ben Pu
- The Twelfth Ward, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
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Xu XJ, Liu TL, He L, Pu B. Changes in neurotransmitter levels, brain structural characteristics, and their correlation with PANSS scores in patients with first-episode schizophrenia. World J Clin Cases 2023; 11:5209-5217. [DOI: 10.12998/wjcc.v11.i22.5209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/15/2023] [Accepted: 07/10/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND In patients with schizophrenia, the brain structure and neurotransmitter levels change, which may be related to the occurrence and progression of this disease.
AIM To explore the relationships between changes in neurotransmitters, brain structural characteristics, and the scores of the Positive and Negative Symptom Scale (PANSS) in patients with first-episode schizophrenia.
METHODS The case group comprised 97 patients with schizophrenia, who were evaluated using the Canadian Neurological Scale and confirmed by laboratory tests at Ningbo Mental Hospital from January 2020 to July 2022. The control group comprised 100 healthy participants. For all participants, brain structural characteristics were explored by measuring brain dopamine (DA), glutamic acid (Glu), and gamma-aminobutyric acid (GABA) levels, with magnetic resonance imaging. The case group was divided into negative and positive symptom subgroups using PANSS scores for hierarchical analysis. Linear correlation analysis was used to analyze the correlations between neurotransmitters, brain structural characteristics, and PANSS scores.
RESULTS Patients in the case group had higher levels of DA and lower levels of Glu and GABA, greater vertical and horizontal distances between the corpus callosum and the inferior part of the fornix and larger ventricle area than patients in the control group (P < 0.05). Patients with positive schizophrenia symptoms had significantly higher levels of DA, Glu, and GABA than those with negative symptoms (P < 0.05). In patients with positive schizophrenia symptoms, PANSS score was significantly positively correlated with DA, vertical and horizontal distances between the corpus callosum and the infrafornix, and ventricular area, and was significantly negatively correlated with Glu and GABA (P < 0.05). In patients with negative schizophrenia symptoms, PANSS score was significantly positively correlated with DA, vertical distance between the corpus callosum and the infrafornix, horizontal distance between the corpus callosum and the infrafornix, and ventricular area, and was significantly negatively correlated with Glu and GABA (P < 0.05).
CONCLUSION In patients with first-episode schizophrenia, DA levels increased, Glu and GABA levels decreased, the thickness of the corpus callosum increased, and these variables were correlated with PANSS scores.
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Affiliation(s)
- Xian-Jia Xu
- The Fifth Ward, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
| | - Tang-Long Liu
- Department of Science and Education, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
| | - Liang He
- The Sixteenth Ward, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
| | - Ben Pu
- The Twelfth Ward, Ningbo Psychiatric Hospital, Ningbo 315000, Zhejiang Province, China
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Tursini K, Remy I, Le Cam S, Louis-Dorr V, Malka-Mahieu H, Schwan R, Gross G, Laprévote V, Schwitzer T. Subsequent and simultaneous electrophysiological investigation of the retina and the visual cortex in neurodegenerative and psychiatric diseases: what are the forecasts for the medicine of tomorrow? Front Psychiatry 2023; 14:1167654. [PMID: 37333926 PMCID: PMC10272854 DOI: 10.3389/fpsyt.2023.1167654] [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: 03/17/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Visual electrophysiological deficits have been reported in neurodegenerative disorders as well as in mental disorders. Such alterations have been mentioned in both the retina and the cortex, notably affecting the photoreceptors, retinal ganglion cells (RGCs) and the primary visual cortex. Interestingly, such impairments emphasize the functional role of the visual system. For this purpose, the present study reviews the existing literature with the aim of identifying key alterations in electroretinograms (ERGs) and visual evoked potentials electroencephalograms (VEP-EEGs) of subjects with neurodegenerative and psychiatric disorders. We focused on psychiatric and neurodegenerative diseases due to similarities in their neuropathophysiological mechanisms. Our research focuses on decoupled and coupled ERG/VEP-EEG results obtained with black-and-white checkerboards or low-level visual stimuli. A decoupled approach means recording first the ERG, then the VEP-EEG in the same subject with the same visual stimuli. The second method means recording both ERG and VEP-EEG simultaneously in the same participant with the same visual stimuli. Both coupled and decoupled results were found, indicating deficits mainly in the N95 ERG wave and the P100 VEP-EEG wave in Parkinson’s, Alzheimer’s, and major depressive disorder. Such results reinforce the link between the retina and the visual cortex for the diagnosis of psychiatric and neurodegenerative diseases. With that in mind, medical devices using coupled ERG/VEP-EEG measurements are being developed in order to further investigate the relationship between the retina and the visual cortex. These new techniques outline future challenges in mental health and the use of machine learning for the diagnosis of mental disorders, which would be a crucial step toward precision psychiatry.
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Affiliation(s)
- Katelyne Tursini
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- BioSerenity, Paris, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
| | - Irving Remy
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- BioSerenity, Paris, France
- INSERM U1114, Université de Strasbourg, Strasbourg, France
| | - Steven Le Cam
- CRAN, CNRS UMR 7039, Université de Lorraine, Nancy, France
| | | | | | - Raymund Schwan
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
| | - Grégory Gross
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
| | - Vincent Laprévote
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1114, Université de Strasbourg, Strasbourg, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
| | - Thomas Schwitzer
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
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Urenda JP, Del Dosso A, Birtele M, Quadrato G. Present and Future Modeling of Human Psychiatric Connectopathies With Brain Organoids. Biol Psychiatry 2023; 93:606-615. [PMID: 36759258 PMCID: PMC11229385 DOI: 10.1016/j.biopsych.2022.12.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 11/21/2022] [Accepted: 12/12/2022] [Indexed: 12/25/2022]
Abstract
Brain organoids derived from human pluripotent stem cells are emerging as a powerful tool to model cellular aspects of neuropsychiatric disorders, including alterations in cell proliferation, differentiation, migration, and lineage trajectory. To date, most contributions in the field have focused on modeling cellular impairment of the cerebral cortex, with few studies probing dysfunction in local network connectivity. However, it is increasingly more apparent that these psychiatric disorders are connectopathies involving multiple brain structures and the connections between them. Therefore, the lack of reproducible anatomical features in these 3-dimensional cultures represents a major bottleneck for effectively modeling brain connectivity at the micro(cellular) level and at the macroscale level between brain regions. In this perspective, we review the use of current organoid protocols to model neuropsychiatric disorders with a specific emphasis on the potential and limitations of the current strategies to model impairments in functional connectivity. Finally, we discuss the importance of adopting interdisciplinary strategies to establish next-generation, multiregional organoids that can model, with higher fidelity, the dysfunction in the development and functionality of long-range connections within the brain of patients affected by psychiatric disorders.
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Affiliation(s)
- Jean-Paul Urenda
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Ashley Del Dosso
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Marcella Birtele
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Giorgia Quadrato
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
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Developing a clinical decision tool based on electroretinogram to monitor the risk of severe mental illness. BMC Psychiatry 2022; 22:718. [PMID: 36401192 PMCID: PMC9673390 DOI: 10.1186/s12888-022-04375-3] [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: 11/16/2021] [Accepted: 06/13/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND We have shown that electroretinograms can discriminate between patients with severe mental illness (SMI) and healthy controls in previous studies. We now intend to enhance the development and clinical utility of ERG as a biological tool to monitor the risk of SMI. METHODOLOGY A sample of 301 SMI patients (bipolar disorder or schizophrenia) and 200 controls was first split into a training (N = 401) and testing dataset (N = 100). A logistic regression using ERG was modeled in the training data, while external validation and discriminative ability were assessed in the testing data. A decision curve analysis was used to test clinical usefulness. Moreover, the identification of thresholds of uncertainty based on the two-graph ROC and the interval of uncertainty was used to enhance prediction. RESULTS The discriminative assessment of the ERG showed very high sensitivity (91%) and specificity (89%) after considering uncertainty levels. Furthermore, for prediction probabilities ranging from 0.14 to 0.95 in the testing data, the net benefit of using our ERG model to decide whether to intervene or not exceeded that of never or always intervening. CONCLUSION The ERG predicted SMI risk with a high level of accuracy when uncertainty was accounted for. This study further supports the potential of ERG to become a useful clinical decision tool to decide the course of action for subjects at risk of SMI. However, further investigation is still needed in longitudinal studies to assess the external validity of the instrument.
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Visual electrophysiology and neuropsychology in bipolar disorders: a review on current state and perspectives. Neurosci Biobehav Rev 2022; 140:104764. [DOI: 10.1016/j.neubiorev.2022.104764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/21/2022] [Accepted: 07/01/2022] [Indexed: 11/21/2022]
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Abstract
Schizophrenia is increasingly recognized as a systemic disease, characterized by dysregulation in multiple physiological systems (eg, neural, cardiovascular, endocrine). Many of these changes are observed as early as the first psychotic episode, and in people at high risk for the disorder. Expanding the search for biomarkers of schizophrenia beyond genes, blood, and brain may allow for inexpensive, noninvasive, and objective markers of diagnosis, phenotype, treatment response, and prognosis. Several anatomic and physiologic aspects of the eye have shown promise as biomarkers of brain health in a range of neurological disorders, and of heart, kidney, endocrine, and other impairments in other medical conditions. In schizophrenia, thinning and volume loss in retinal neural layers have been observed, and are associated with illness progression, brain volume loss, and cognitive impairment. Retinal microvascular changes have also been observed. Abnormal pupil responses and corneal nerve disintegration are related to aspects of brain function and structure in schizophrenia. In addition, studying the eye can inform about emerging cardiovascular, neuroinflammatory, and metabolic diseases in people with early psychosis, and about the causes of several of the visual changes observed in the disorder. Application of the methods of oculomics, or eye-based biomarkers of non-ophthalmological pathology, to the treatment and study of schizophrenia has the potential to provide tools for patient monitoring and data-driven prediction, as well as for clarifying pathophysiology and course of illness. Given their demonstrated utility in neuropsychiatry, we recommend greater adoption of these tools for schizophrenia research and patient care.
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Affiliation(s)
- Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA
- Center for Visual Science, University of Rochester, Rochester, NY, USA
| | - Joy J Choi
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Kyle M Green
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Rajeev S Ramchandran
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
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Schwitzer T, Le Cam S, Cosker E, Vinsard H, Leguay A, Angioi-Duprez K, Laprevote V, Ranta R, Schwan R, Dorr VL. Retinal electroretinogram features can detect depression state and treatment response in adults: A machine learning approach. J Affect Disord 2022; 306:208-214. [PMID: 35301040 DOI: 10.1016/j.jad.2022.03.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 01/05/2022] [Accepted: 03/10/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a major public health problem. The retina is a relevant site to indirectly study brain functioning. Alterations in retinal processing were demonstrated in MDD with the pattern electroretinogram (PERG). Here, the relevance of signal processing and machine learning tools applied on PERG was studied. METHODS PERG - whose stimulation is reversible checkerboards - was performed according to the International Society for Clinical Electrophysiology of Vision (ISCEV) standards in 24 MDD patients and 29 controls at the inclusion. PERG was recorded every 4 weeks for 3 months in patients. Amplitude and implicit time of P50 and N95 were evaluated. Then, time/frequency features were extracted from the PERG time series based on wavelet analysis. A statistical model has been learned in this feature space and a metric aiming at quantifying the state of the MDD patient has been derived, based on minimum covariance determinant (MCD) mahalanobis distance. RESULTS MDD patients showed significant increase in P50 and N95 implicit time (p = 0,006 and p = 0,0004, respectively, Mann-Whitney U test) at the inclusion. The proposed metric extracted from the raw PERG provided discrimination between patients and controls at the inclusion (p = 0,0001). At the end of the follow-up at week 12, the difference between the metrics extracted on controls and patients was not significant (p = 0,07), reflecting the efficacy of the treatment. CONCLUSIONS Signal processing and machine learning tools applied on PERG could help clinical decision in the diagnosis and the follow-up of MDD in measuring treatment response.
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Affiliation(s)
- Thomas Schwitzer
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France; INSERM U1254, IADI, Université de Lorraine, Nancy, France; Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France.
| | - Steven Le Cam
- Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France
| | - Eve Cosker
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France; Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
| | - Heloise Vinsard
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
| | - Ambre Leguay
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
| | - Karine Angioi-Duprez
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France; Service d'Ophtalmologie, CHRU Nancy, Nancy, France
| | - Vincent Laprevote
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France; Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France; INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France
| | - Radu Ranta
- Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France
| | - Raymund Schwan
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France; INSERM U1254, IADI, Université de Lorraine, Nancy, France; Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
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11
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Yang C, Zhang K, Zhang A, Sun N, Liu Z, Zhang K. Co-Expression Network Modeling Identifies Specific Inflammation and Neurological Disease-Related Genes mRNA Modules in Mood Disorder. Front Genet 2022; 13:865015. [PMID: 35386281 PMCID: PMC8977853 DOI: 10.3389/fgene.2022.865015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 02/23/2022] [Indexed: 12/03/2022] Open
Abstract
Objectives: Mood disorders are a kind of serious mental illness, although their molecular factors involved in the pathophysiology remain unknown. One approach to examine the molecular basis of mood disorders is co-expression network analysis (WGCNA), which is expected to further divide the set of differentially expressed genes into subgroups (i.e., modules) in a more (biologically) meaningful way, fascinating the downstream enrichment analysis. The aim of our study was to identify hub genes in modules in mood disorders by using WGCNA. Methods: Microarray data for expression values of 4,311,721 mRNA in peripheral blood mononuclear cells drawn from 21 MDD, 8 BD, and 24 HC individuals were obtained from GEO (GSE39653); data for genes with expression in the bottom third for 80% or more of the samples were removed. Then, the top 70% most variable genes/probs were selected for WGCNA: 27,884 probes representing 21,840 genes; correlation between module genes and mood disorder (MDD+BD vs. HC) was evaluated. Results: About 52% of 27,765 genes were found to form 50 co-expression modules with sizes 42–3070. Among the 50 modules, the eigengenes of two modules were significantly correlated with mood disorder (p < 0.05). The saddlebrown module was found in one of the meta-modules in the network of the 50 eigengenes along with mood disorder, 6 (IER5, NFKBIZ, CITED2, TNF, SERTAD1, ADM) out of 12 differentially expressed genes identified in Savitz et al. were found in the saddlebrown module. Conclusions: We found a significant overlap for 6 hub genes (ADM, CITED2, IER5, NFKBIZ, SERTAD1, TNF) with similar co-expression and dysregulation patterns associated with mood disorder. Overall, our findings support other reports on molecular-level immune dysfunction in mood disorder and provide novel insights into the pathophysiology of mood disorder.
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Affiliation(s)
- Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Kun Zhang
- Shanxi Medical University, Taiyuan, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Nuring College of Shanxi Medical University, Taiyuan, China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
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12
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Green KM, Choi JJ, Ramchandran RS, Silverstein SM. OCT and OCT Angiography Offer New Insights and Opportunities in Schizophrenia Research and Treatment. Front Digit Health 2022; 4:836851. [PMID: 35252961 PMCID: PMC8894243 DOI: 10.3389/fdgth.2022.836851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/21/2022] [Indexed: 11/13/2022] Open
Abstract
The human retina and retinal imaging technologies continue to increasingly gain the attention of schizophrenia researchers. With the same embryologic origin as the brain, the retina offers a window into neurovascular changes that may underlie disease. Recently, two technologies that have already revolutionized the field of ophthalmology, optical coherence tomography (OCT), and a functional extension of this, optical coherence tomography angiography (OCTA), have gained traction. Together, these non-invasive technologies allow for microscopic imaging of both structural and vascular features of the retina. With ease of use and no side effects, these devices are likely to prove powerful digital health tools in the study and treatment of schizophrenia. They may also prove key to discovering disease relevant biomarkers that underly neurodevelopmental and neurodegenerative aspects of conditions such as schizophrenia.
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Affiliation(s)
- Kyle M. Green
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, United States
| | - Joy J. Choi
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, United States
| | - Rajeev S. Ramchandran
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, United States
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, United States
| | - Steven M. Silverstein
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, United States
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, United States
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, United States
- Center for Visual Science, University of Rochester, Rochester, NY, United States
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13
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Maziade M, Bureau A, Jomphe V, Gagné AM. Retinal function and preclinical risk traits in children and adolescents at genetic risk of schizophrenia and bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry 2022; 112:110432. [PMID: 34454992 DOI: 10.1016/j.pnpbp.2021.110432] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 07/01/2021] [Accepted: 08/23/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND The millions of children having a parent affected by a major psychiatric disorder may carry, as vulnerability indicators, electroretinographic (ERG) anomalies resembling those seen in adult patients. Our goal was to determine whether ERG anomalies in high-risk youths are related to clinical precursors of a later transition to illness such as the presence of childhood DSM-IV diagnoses, bouts of psychotic like experiences, lower global IQ and social functioning deterioration. METHODS The 99 youths (53% males) aged 5-27 years had one parent affected by schizophrenia, bipolar disorder or major depressive disorder. They were assessed with a best-estimate DSM-IV diagnoses based on review of medical charts and a structured interview (K-SADS or SCID), global IQ (WISC-V and WAIS-IV), global functioning (GAF scale) and psychotic-like experiences using interviews and a review of medical records. The electroretinogram of rods and cones was recorded. RESULTS Cone Vmax latency was longer in offspring having psychotic-like experiences, respective adjusted mean [SE] ms of 31.59 [0.27] and of 30.96 [0.14]; P = 0.018). The cone Vmax delayed latency was associated with a lower global IQ (R = -0.18; P = 0.045) and with deteriorated global functioning (GAF; R = -0.25; P = 0.008). In contrast, rods had decreased b-wave amplitude only in offspring with a non-psychotic non-affective DSM diagnoses, respective means [SE] μV of 170.18 [4.90] and of 184.01 [6.12]; P = 0.044). CONCLUSIONS ERG may mark neurodevelopmental pathways leading to adult illness and have an effect on early pre-clinical traits, giving clues to clinicians for the surveillance of sibling differences in high-risk families.
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Affiliation(s)
- M Maziade
- CERVO Brain Research Center, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, Québec, Canada; Université Laval, Faculté de Médecine, Département de psychiatrie et neurosciences, Québec, Canada.
| | - A Bureau
- CERVO Brain Research Center, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, Québec, Canada; Université Laval, Faculté de Médecine, Département de médecine sociale et préventive, Québec, Canada
| | - V Jomphe
- CERVO Brain Research Center, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, Québec, Canada
| | - A M Gagné
- CERVO Brain Research Center, Centre intégré universitaire de santé et des services sociaux de la Capitale-Nationale, Québec, Canada
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14
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Berthelot N, Garon-Bissonnette J, Jomphe V, Doucet-Beaupré H, Bureau A, Maziade M. Childhood Trauma May Increase Risk of Psychosis and Mood Disorder in Genetically High-risk Children and Adolescents by Enhancing the Accumulation of Risk Indicators. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac017. [PMID: 39144791 PMCID: PMC11206050 DOI: 10.1093/schizbullopen/sgac017] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Background Genetically high-risk children carry indicators of brain dysfunctions that adult patients with schizophrenia or bipolar disorder display. The accumulation of risk indicators would have a higher predictive value of a later transition to psychosis or mood disorder than each individual risk indicator. Since more than 50% of adult patients report having been exposed to childhood trauma, we investigated whether exposure to trauma during childhood was associated with the early accumulation of risk indicators in youths at genetic risk. Methods We first inspected the characteristics of childhood trauma in 200 young offspring (51% male) born to a parent affected by DSM-IV schizophrenia, bipolar disorder, or major depressive disorder. A subsample of 109 offspring (51% male) had measurements on four risk indicators: cognitive impairments, psychotic-like experiences, nonpsychotic nonmood childhood DSM diagnoses, poor global functioning. Trauma was assessed from direct interviews and reviews of lifetime medical and school records of offspring. Results Trauma was present in 86 of the 200 offspring (43%). The relative risk of accumulating risk indicators in offspring exposed to trauma was 3.33 (95% CI 1.50, 7.36), but more pronounced in males (RR = 4.64, 95% CI 1.71, 12.6) than females (RR = 2.01, 95% CI 0.54, 7.58). Conclusion Childhood trauma would be related to the accumulation of developmental precursors of major psychiatric disorders and more so in young boys at high genetic risk. Our findings may provide leads for interventions targeting the early mechanisms underlying the established relation between childhood trauma and adult psychiatric disorders.
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Affiliation(s)
- Nicolas Berthelot
- Department of Nursing Sciences, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
- CERVO Brain Research Center, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Quebec City, QC, Canada
- Centre d’études interdisciplinaires sur le développement de l’enfant et la famille, Trois-Rivières, QC, Canada
- Interdisciplinary Research Center on Intimate Relationship Problems and Sexual Abuse, Montreal, QC, Canada
| | - Julia Garon-Bissonnette
- CERVO Brain Research Center, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Quebec City, QC, Canada
- Centre d’études interdisciplinaires sur le développement de l’enfant et la famille, Trois-Rivières, QC, Canada
- Interdisciplinary Research Center on Intimate Relationship Problems and Sexual Abuse, Montreal, QC, Canada
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | - Valérie Jomphe
- CERVO Brain Research Center, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Quebec City, QC, Canada
| | - Hélène Doucet-Beaupré
- CERVO Brain Research Center, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Quebec City, QC, Canada
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | - Alexandre Bureau
- CERVO Brain Research Center, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Quebec City, QC, Canada
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | - Michel Maziade
- CERVO Brain Research Center, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Quebec City, QC, Canada
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
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15
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Moreau I, Hébert M, Maziade M, Painchaud A, Mérette C. The Electroretinogram as a Potential Biomarker of Psychosis in Children at Familial Risk. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac016. [PMID: 39144760 PMCID: PMC11206048 DOI: 10.1093/schizbullopen/sgac016] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
We previously proposed the electroretinogram (ERG) as a promising biomarker of major psychiatric disorders such as schizophrenia (SZ) and bipolar disorder (BP), given that we found anomalies in the ERG parameters of patients with these diagnoses as well as in their children who are at high risk (HR) of developing such disorders. The aim of the present study is to investigate the usefulness of the ERG for individual detection, among HR children, of an ERG profile resembling that of a SZ patient, as this may indicate a stronger likelihood of transition to psychosis. Using a logistic regression model previously derived from the ERG assessments of SZ patients and control (CT) subjects, individual risk scores were obtained for 61 HR and 80 CT youth. Those with a very high individual risk score were classified as "schizophrenia-like" (SZ-like). We found that the HR subjects were 3.5 times more likely to be classified as SZ-like than the CT subjects (95% CI [1.1-11.8]). Furthermore, among the HR subjects, we studied the relationship between the SZ-like classification and psychotic-like experiences and found that HR subjects classified as SZ-like were 2.7 times more likely than all remaining HR subjects to have experienced psychotic-like symptoms (95% CI [1.3-4.6]), and 6.8 times more likely than those with a very low individual risk score (95% CI [1.4-40.4]). Our results suggest that a model previously derived from ERG data on SZ patients could be a potential tool for early detection of the susceptibility to a psychotic-like disorder among familial HR children.
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Affiliation(s)
- Isabel Moreau
- Centre de recherche CERVO, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Québec, QC, Canada
- Département d’informatique et de génie logiciel, Université Laval, Québec, QC, Canada
| | - Marc Hébert
- Centre de recherche CERVO, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Québec, QC, Canada
- Département d’ophtalmologie et oto-rhino-laryngologie – chirurgie cervico-faciale, Université Laval, Québec, QC, Canada
| | - Michel Maziade
- Centre de recherche CERVO, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Québec, QC, Canada
- Département de psychiatrie et neurosciences, Université Laval, Québec, QC, Canada
| | - Alexandra Painchaud
- Centre de recherche CERVO, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Québec, QC, Canada
- Département de psychiatrie et neurosciences, Université Laval, Québec, QC, Canada
| | - Chantal Mérette
- Centre de recherche CERVO, Centre intégré de santé et de services sociaux de la Capitale-Nationale, Québec, QC, Canada
- Département de psychiatrie et neurosciences, Université Laval, Québec, QC, Canada
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Silverstein SM, Lai A, Green KM, Crosta C, Fradkin SI, Ramchandran RS. Retinal Microvasculature in Schizophrenia. Eye Brain 2021; 13:205-217. [PMID: 34335068 PMCID: PMC8318708 DOI: 10.2147/eb.s317186] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/15/2021] [Indexed: 01/01/2023] Open
Abstract
PURPOSE Schizophrenia is associated with alterations in neural structure and function of the retina that are similar to changes seen in the retina and brain in multiple neurodegenerative disorders. Preliminary evidence suggests that retinal microvasculature may also be compromised in schizophrenia. The goal of this study was to determine, using optical coherence tomography angiography (OCTA), whether 1) schizophrenia is associated with alterations in retinal microvasculature density; and 2) microvasculature reductions are associated with retinal neural layer thinning and performance on a measure of verbal IQ. PATIENTS AND METHODS Twenty-eight outpatients with schizophrenia or schizoaffective disorder and 37 psychiatrically healthy control subjects completed OCT and OCTA exams, and the Wechsler Test of Adult Reading. RESULTS Schizophrenia patients were characterized by retinal microvasculature density reductions, and enlarged foveal avascular zones, in both eyes. These microvascular abnormalities were generally associated with thinning of retinal neural (macular and peripapillary nerve fiber layer) tissue (but the data were stronger for the left than the right eye) and lower scores on a proxy measure of verbal IQ. First- and later-episode patients did not differ significantly on OCTA findings. CONCLUSION The retinal microvasculature impairments seen in schizophrenia appear to be a biomarker of overall brain health, as is the case for multiple neurological conditions. Additional research is needed, however, to clarify contributions of social disadvantage and medical comorbidities to the findings.
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Affiliation(s)
- Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
- Center for Visual Science, University of Rochester, Rochester, NY, USA
| | - Adriann Lai
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Kyle M Green
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
| | - Christen Crosta
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA
| | | | - Rajeev S Ramchandran
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
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Shoham N, Eskinazi M, Hayes JF, Lewis G, Theodorsson M, Cooper C. Associations between psychosis and visual acuity impairment: A systematic review and meta-analysis. Acta Psychiatr Scand 2021; 144:6-27. [PMID: 34028803 PMCID: PMC8504204 DOI: 10.1111/acps.13330] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/11/2021] [Accepted: 05/14/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Several theories propose that visual acuity impairment is associated with psychosis. Visual impairment could lead to psychosis or the converse, or they may share underlying pathology or risk factors. In the first evidence synthesis in this area for over 25 years, we collated studies measuring the association between visual acuity impairment and psychosis. METHODS We searched the MEDLINE, EMBASE, PsycINFO, and Web of Science databases for studies published from 1992 to 2020, using the Newcastle Ottawa Scale to assess risk of bias. We narratively synthesized findings and meta-analyzed sufficiently homogenous results. RESULTS We included 40 papers, which reported on 31 studies. Evidence from seven cohort studies was inconsistent, which precluded meta-analysis of this study design. These contradictory results also made it difficult to draw conclusions regarding a temporal association. We found evidence for an association from eight cross-sectional studies treating visual acuity impairment as the exposure and psychosis as the outcome [pooled odds ratio (OR) =1.76, 95% confidence interval (CI): 1.34-2.31], and four with the reverse exposure and outcome (OR: 1.85, 95% CI: 1.17-2.92). Seven case-control studies with mixed findings were found, but only two primarily addressed our research question, and these findings were mixed. CONCLUSIONS Although evidence supports a cross-sectional association between visual acuity impairment and psychosis, further research is needed to clarify the temporal direction, given the mixed findings in cohort studies. Understanding the association may give insights into prevention strategies for people at risk of visual acuity impairment and psychosis.
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Affiliation(s)
- Natalie Shoham
- Division of PsychiatryUniversity College LondonLondonUK,Camden and Islington NHS Foundation TrustLondonUK
| | - Michelle Eskinazi
- Division of PsychiatryUniversity College LondonLondonUK,Camden and Islington NHS Foundation TrustLondonUK
| | - Joseph F. Hayes
- Division of PsychiatryUniversity College LondonLondonUK,Camden and Islington NHS Foundation TrustLondonUK
| | - Gemma Lewis
- Division of PsychiatryUniversity College LondonLondonUK
| | | | - Claudia Cooper
- Division of PsychiatryUniversity College LondonLondonUK,Camden and Islington NHS Foundation TrustLondonUK
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18
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Silverstein SM, Fradkin SI, Demmin DL. Schizophrenia and the retina: Towards a 2020 perspective. Schizophr Res 2020; 219:84-94. [PMID: 31708400 PMCID: PMC7202990 DOI: 10.1016/j.schres.2019.09.016] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 09/28/2019] [Accepted: 09/30/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Differences between people with schizophrenia and psychiatrically healthy controls have been consistently demonstrated on measures of retinal function such as electroretinography (ERG), and measures of retinal structure such as optical coherence tomography (OCT). Since our 2015 review of this literature, multiple new studies have been published using these techniques. At the same time, the accumulation of data has highlighted the "fault lines" in these fields, suggesting methodological considerations that need greater attention in future studies. METHODS We reviewed studies of ERG and OCT in schizophrenia, as well as data from studies whose findings are relevant to interpreting these papers, such as those on effects of the following on ERG and OCT data: comorbid medical conditions that are over-represented in schizophrenia, smoking, antipsychotic medication, substance abuse, sex and gender, obesity, attention, motivation, and influences of brain activity on retinal function. RESULTS Recent ERG and OCT studies continue to support the hypothesis of retinal structural and functional abnormalities in schizophrenia, and suggest that these are relevant to understanding broader aspects of pathophysiology, neurodevelopment, and neurodegeneration in this disorder. However, there are differences in findings which suggest that the effects of multiple variables on ERG and OCT data need further clarification. CONCLUSIONS The retina, as the only component of the CNS that can be imaged directly in live humans, has potential to clarify important aspects of schizophrenia. With greater attention to specific methodological issues, the true potential of ERG and OCT as biomarkers for important clinical phenomena in schizophrenia should become apparent.
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Affiliation(s)
- Steven M Silverstein
- Rutgers University Behavioral Health Care, United States; Rutgers University, Robert Wood Johnson Medical School, Departments of Psychiatry and Ophthalmology, United States.
| | | | - Docia L Demmin
- Rutgers University, Department of Psychology, United States.
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People with current major depression resemble healthy controls on flash Electroretinogram indices associated with impairment in people with stabilized schizophrenia. Schizophr Res 2020; 219:69-76. [PMID: 31375317 DOI: 10.1016/j.schres.2019.07.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 07/10/2019] [Accepted: 07/13/2019] [Indexed: 11/21/2022]
Abstract
Flash electroretinography (fERG) has been used to identify anomalies in retinal functioning in several psychiatric disorders. In schizophrenia (SCZ), fERG abnormalities are reliably observed, but findings from studies of major depressive disorder (MDD) have been less consistent. In this study, fERG data were recorded from MDD patients in a current major depressive episode (n = 25), and compared to data from SCZ patients (n = 25) and healthy controls (HC; n = 25), to determine the degree to which fERG anomalies in acute MDD overlap or contrast with those observed in stabilized (though not symptom free) SCZ. The primary variables of interest were a-wave (photoreceptor activity), b-wave (bipolar-Müller cell activity), and photopic negative response (PhNR; ganglion cell activity) amplitudes and implicit times. Across most conditions, there were no significant differences between the MDD and HC groups in a- or b-wave response, but the SCZ group consistently demonstrated reduced amplitudes. Interestingly, MDD patients demonstrated an increase in photopic a-wave implicit time relative to SCZ patients, and a decrease in PhNR implicit time relative to controls. Correlations between BDI-II scores and fERG metrics were not significant for either patient group. Overall, these data indicate that, using an fERG protocol that distinguishes SCZ patients from controls, MDD patients experiencing a current depressive episode closely resemble healthy controls in their fERG responses. Therefore, MDD-related fERG changes may be more subtle than those observed in SCZ and detectable only with larger sample sizes than we employed and/or using a different set of fERG test parameters.
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20
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Maziade M, Silverstein SM. The place of the retina in psychiatry: Uniting neurobiological and neurodevelopmental research with clinical research in psychiatric disorders. Schizophr Res 2020; 219:1-4. [PMID: 32249123 DOI: 10.1016/j.schres.2020.03.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Michel Maziade
- Medicine Faculty, University Laval Québec Research Center CERVO, CIUSSS de la Capitale-Nationale.
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21
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Light-Adapted Electroretinogram Differences in Autism Spectrum Disorder. J Autism Dev Disord 2020; 50:2874-2885. [DOI: 10.1007/s10803-020-04396-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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