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Korkut S, Süren E, Erol MK, Zeybek G, Ekinci R, Gedik B, Bedel C. Investigation of optical coherence tomography angiography findings in patients with bipolar disorder. J Affect Disord 2025; 368:304-311. [PMID: 39284528 DOI: 10.1016/j.jad.2024.09.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 09/11/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024]
Abstract
OBJECTIVES Bipolar Disorder (BD) is an important psychiatric disease that progresses with attacks, can be chronic and causes serious mental problems. In this study, we aimed to identify the retinal vascular pathologies in BD patients by optical coherence tomography angiography (OCTA) imaging. METHODS Retinal vascular analysis from 35 BD patients and 30 healthy controls (HCs) were scanned using the OCTA machine. In addition, psychometric tests such as the Young Mania Rating Scale (YMRS) and Clinical Global Impression Scale (CGI-S) were applied to BD patients to assess the severity of the disease and determine the patient's level of functionality. RESULTS As a result of OCTA scans, there were significant differences between the groups as following; Deep retinal vessel density (VD) in the total, parafoveal and perifoveal area, Macular thickness in the inner parafoveal area, VD of retinal capillary plexuses in the inside disk and the Choroidal thickness (p < 0.05). Furthermore, according to the results of Pearson correlation analysis between OCTA scans and YMRS and CGI-S scores, it was determined that there was no significant relationship in any measurement (p > 0.05). CONCLUSION In our study, it was determined that there were general differences in deep retinal vascular density and inner macular thickness in BD patients. These findings demonstrate that the deep and inner zone of the retina is affected in BD patients.
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Affiliation(s)
- Süleyman Korkut
- Department of Psychiatry, University of Health Sciences, Antalya Training and Research Hospital, Antalya 07100, Turkey.
| | - Elçin Süren
- Department of Ophthalmology, Antalya Training and Research Hospital, Antalya 07100, Turkey
| | - Muhammet Kazım Erol
- Department of Ophthalmology, University of Health Sciences, Antalya Training and Research Hospital, Antalya 07100, Turkey
| | - Güney Zeybek
- Department of Psychiatry, Antalya Training and Research Hospital, Antalya 07100, Turkey
| | - Rojbin Ekinci
- Department of Ophthalmology, Antalya Training and Research Hospital, Antalya 07100, Turkey
| | - Birumut Gedik
- Department of Ophthalmology, Antalya Training and Research Hospital, Antalya 07100, Turkey
| | - Cihan Bedel
- Department of Emergency Medicine, University of Health Sciences, Antalya Training and Research Hospital, Antalya 07100, Turkey
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Blose BA, Silverstein SM, Stuart KV, Keane PA, Khawaja AP, Wagner SK. Association between polygenic risk for schizophrenia and retinal morphology: A cross-sectional analysis of the United Kingdom Biobank. Psychiatry Res 2024; 339:116106. [PMID: 39079374 DOI: 10.1016/j.psychres.2024.116106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 07/17/2024] [Accepted: 07/24/2024] [Indexed: 08/15/2024]
Abstract
We examined the relationship between genetic risk for schizophrenia (SZ), using polygenic risk scores (PRSs), and retinal morphological alterations. Retinal structural and vascular indices derived from optical coherence tomography (OCT) and color fundus photography (CFP) and PRSs for SZ were analyzed in N = 35,024 individuals from the prospective cohort study, United Kingdom Biobank (UKB). Results indicated that macular ganglion cell-inner plexiform layer (mGC-IPL) thickness was significantly inversely related to PRS for SZ, and this relationship was strongest within higher PRS quintiles and independent of potential confounders and age. PRS, however, was unrelated to retinal vascular characteristics, with the exception of venular tortuosity, and other retinal structural indices (macular retinal nerve fiber layer [mRNFL], inner nuclear layer [INL], cup-to-disc ratio [CDR]). Additionally, the association between greater PRS and reduced mGC-IPL thickness was only significant for participants in the 40-49 and 50-59 age groups, not those in the 60-69 age group. These findings suggest that mGC-IPL thinning is associated with a genetic predisposition to SZ and may reflect neurodevelopmental and/or neurodegenerative processes inherent to SZ. Retinal microvasculature alterations, however, may be secondary consequences of SZ and do not appear to be associated with a genetic predisposition to SZ.
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Affiliation(s)
- Brittany A Blose
- Department of Psychology, University of Rochester, Rochester, NY, United States; Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, United States
| | - Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, United States; Department of Ophthalmology, University of Rochester Medical Center, Rochester, New York, United States; Department of Neuroscience, University of Rochester Medical Center, Rochester, New York, United States; Center for Visual Science, University of Rochester, Rochester, New York, United States.
| | - Kelsey V Stuart
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Pearse A Keane
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Anthony P Khawaja
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Siegfried K Wagner
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
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Sheehan N, Bannai D, Silverstein SM, Lizano P. Neuroretinal Alterations in Schizophrenia and Bipolar Disorder: An Updated Meta-analysis. Schizophr Bull 2024; 50:1067-1082. [PMID: 38954839 PMCID: PMC11349028 DOI: 10.1093/schbul/sbae102] [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: 07/04/2024]
Abstract
Schizophrenia (SZ) and bipolar disorder (BD) are characterized by major symptomatic, cognitive, and neuroanatomical changes. Recent studies have used optical coherence tomography (OCT) to investigate retinal changes in SZ and BD, but their unique and shared changes require further evaluation. Articles were identified using PubMed and Google Scholar. 39 studies met the inclusion criteria. Diagnostic groups were proband (SZ/BD combined), SZ, BD, and healthy control (HC) eyes. Meta-analyses utilized fixed and random effects models when appropriate, and publication bias was corrected using trim-and-fill analysis ("meta" package in R). Results are reported as standardized mean differences with 95% CIs. Data from 3145 patient eyes (1956 SZ, 1189 BD) and 3135 HC eyes were included. Studies identified thinning of the peripapillary retinal nerve fiber layer (pRNFL, overall and in 2 subregions), m-Retina (overall and all subregions), mGCL-IPL, mIPL, and mRPE in SZ patients. BD showed thinning of the pRNFL (overall and in each subregion), pGCC, and macular Retina (in 5 subregions), but no changes in thickness or volume for the total retina. Neither SZ nor BD patients demonstrated significant changes in the fovea, mRNFL, mGCL, mGCC, mINL, mOPL, mONL, or choroid thicknesses. Moderating effects of age, illness duration, and smoking on retinal structures were identified. This meta-analysis builds upon previous literature in this field by incorporating recent OCT studies and examining both peripapillary and macular retinal regions with respect to psychotic disorders. Overall, this meta-analysis demonstrated both peripapillary and macular structural retinal abnormalities in people with SZ or BD compared with HCs.
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Affiliation(s)
- Nora Sheehan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Deepthi Bannai
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - 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
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Translational Neuroscience, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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4
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Jiang Y, Chen Q, Shi D, Miao S, Liu Y, Wang J, Liu L, Chen Y, Wang R. Association of retinal microvascular curve tortuosity and multiple sclerosis: A cross-section analysis from the UK Biobank. Mult Scler Relat Disord 2024; 88:105753. [PMID: 38996710 DOI: 10.1016/j.msard.2024.105753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/03/2024] [Accepted: 06/30/2024] [Indexed: 07/14/2024]
Abstract
BACKGROUND There is growing evidence supporting that vascular abnormalities contribute to multiple sclerosis (MS), and retinal microvasculature functions as a visible window to observe vessels. We hypothesized that retinal vascular curve tortuosity is associated with MS, which this study aims to address. METHODS Participants from the UK Biobank with complete clinical records and gradable fundus photos were included in the study. Arteriolar and venular curve tortuosity and vessel area density are quantified automatically using a deep learning system. Individuals with MS were matched to healthy controls using propensity score matching (PSM). Conditional logistic regression was used to investigate the association between retinal vascular characteristics and MS. We also used a receiver operating characteristic (ROC) curve to assess the diagnostic performance of MS. RESULTS Venular curve tortuosity (VCT) was found to be significantly associated with MS. And patients with multiple sclerosis were probable to have lower VCT than the non-MS group (OR = 0.22 [95 % CI, 0.05 to 0.92], P < 0.05). CONCLUSIONS Our study reveals a significant association between vessel curve tortuosity and MS. The lower curve tortuosity of the retinal venular network may indicate a higher risk of incident multiple sclerosis.
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Affiliation(s)
- Yuzhe Jiang
- Department of Ophthalmology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; First Affiliated Hospital of Fujian Medical University, Fujian Medical University, Fuzhou, China
| | - Qi Chen
- Department of Ophthalmology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Danli Shi
- School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong; Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong
| | - Suyu Miao
- First Affiliated Hospital of Fujian Medical University, Fujian Medical University, Fuzhou, China
| | - Yifeng Liu
- First Affiliated Hospital of Fujian Medical University, Fujian Medical University, Fuzhou, China
| | - Jinyang Wang
- First Affiliated Hospital of Fujian Medical University, Fujian Medical University, Fuzhou, China
| | - Lin Liu
- Department of Ophthalmology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yufan Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Ruobing Wang
- Department of Ophthalmology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Komatsu H, Onoguchi G, Silverstein SM, Jerotic S, Sakuma A, Kanahara N, Kakuto Y, Ono T, Yabana T, Nakazawa T, Tomita H. Retina as a potential biomarker in schizophrenia spectrum disorders: a systematic review and meta-analysis of optical coherence tomography and electroretinography. Mol Psychiatry 2024; 29:464-482. [PMID: 38081943 PMCID: PMC11116118 DOI: 10.1038/s41380-023-02340-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 11/16/2023] [Accepted: 11/23/2023] [Indexed: 05/25/2024]
Abstract
INTRODUCTION Abnormal findings on optical coherence tomography (OCT) and electroretinography (ERG) have been reported in participants with schizophrenia spectrum disorders (SSDs). This study aims to reveal the pooled standard mean difference (SMD) in retinal parameters on OCT and ERG among participants with SSDs and healthy controls and their association with demographic characteristics, clinical symptoms, smoking, diabetes mellitus, and hypertension. METHODS Using PubMed, Scopus, Web of Science, and PSYNDEX, we searched the literature from inception to March 31, 2023, using specific search terms. This study was registered with PROSPERO (CRD4202235795) and conducted according to PRISMA 2020. RESULTS We included 65 studies in the systematic review and 44 in the meta-analysis. Participants with SSDs showed thinning of the peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell layer- inner plexiform cell layer, and retinal thickness in all other segments of the macula. A meta-analysis of studies that excluded SSD participants with diabetes and hypertension showed no change in results, except for pRNFL inferior and nasal thickness. Furthermore, a significant difference was found in the pooled SMD of pRNFL temporal thickness between the left and right eyes. Meta-regression analysis revealed an association between retinal thinning and duration of illness, positive and negative symptoms. In OCT angiography, no differences were found in the foveal avascular zone and superficial layer foveal vessel density between SSD participants and controls. In flash ERG, the meta-analysis showed reduced amplitude of both a- and b-waves under photopic and scotopic conditions in SSD participants. Furthermore, the latency of photopic a-wave was significantly shorter in SSD participants in comparison with HCs. DISCUSSION Considering the prior report of retinal thinning in unaffected first-degree relatives and the results of the meta-analysis, the findings suggest that retinal changes in SSDs have both trait and state aspects. Future longitudinal multimodal retinal imaging studies are needed to clarify the pathophysiological mechanisms of these changes and to clarify their utility in individual patient monitoring efforts.
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Affiliation(s)
- Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.
- Miyagi Psychiatric Center, Natori, Japan.
| | - Goh Onoguchi
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Stefan Jerotic
- Clinic for Psychiatry, University Clinical Centre of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Atsushi Sakuma
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobuhisa Kanahara
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
- Division of Medical Treatment and Rehabilitation, Chiba University Center for Forensic Mental Health, Chiba, Japan
| | - Yoshihisa Kakuto
- Miyagi Psychiatric Center, Natori, Japan
- Department of Community Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | | | - Takeshi Yabana
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Toru Nakazawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Ophthalmic Imaging and Information Analytics, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Retinal Disease Control, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Advanced Ophthalmic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
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Mio M, Kennedy KG, Grigorian A, Zou Y, Dimick MK, Selkirk B, Kertes PJ, Swardfager W, Hahn MK, Black SE, MacIntosh BJ, Goldstein BI. White matter microstructural integrity is associated with retinal vascular caliber in adolescents with bipolar disorder. J Psychosom Res 2023; 175:111529. [PMID: 37856933 DOI: 10.1016/j.jpsychores.2023.111529] [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: 04/25/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVE Reduced white matter integrity is observed in bipolar disorder (BD), and is associated with cardiovascular risk in adults. This topic is underexplored in youth, and in BD, where novel microvascular measures may help to inform understanding of the vascular-brain connection. We therefore examined the association of retinal vascular caliber with white matter integrity in a cross-sectional sample of adolescents with and without BD. METHODS Eighty-four adolescents (n = 42 BD, n = 42 controls) completed retinal imaging, yielding arteriolar and venular caliber. Diffusion tensor imaging measured white matter fractional anisotropy (FA). Multiple linear regression tested associations between retinal vascular caliber and FA in regions-of-interest; corpus callosum, anterior thalamic radiation, uncinate fasciculus, and superior longitudinal fasciculus. Complementary voxel-wise analyses were performed. RESULTS Arteriolar caliber was elevated in adolescents with BD relative to controls (F(1,79) = 6.15, p = 0.02, η2p = 0.07). In the overall sample, higher venular caliber was significantly associated with lower corpus callosum FA (β = -0.24, puncorrected = 0.04). In voxel-wise analyses, higher arteriolar caliber was significantly associated with lower corpus callosum and forceps minor FA in the overall sample (β = -0.46, p = 0.03). A significant diagnosis-by-venular caliber interaction on FA was noted in 5 clusters including the right retrolenticular internal capsule (β = 0.72, p = 0.03), corticospinal tract (β = 0.72, p = 0.04), and anterior corona radiata (β = 0.63, p = 0.04). In each instance, venular caliber was more positively associated with FA in BD vs. controls. CONCLUSION Retinal microvascular measures are associated with white matter integrity in BD, particularly in the corpus callosum. This study was proof-of-concept, designed to guide future studies focused on the vascular-brain interface in BD.
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Affiliation(s)
- Megan Mio
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada.
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada
| | - Anahit Grigorian
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada
| | - Yi Zou
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada
| | - Mikaela K Dimick
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada
| | - Beth Selkirk
- John and Liz Tory Eye Centre, Department of Ophthalmology and Vision Sciences, Sunnybrook Health Sciences Centre, Canada
| | - Peter J Kertes
- John and Liz Tory Eye Centre, Department of Ophthalmology and Vision Sciences, Sunnybrook Health Sciences Centre, Canada; University of Toronto, Ophthalmology and Vision Sciences, Toronto, Canada
| | - Walter Swardfager
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Margaret K Hahn
- Schizophrenia Department, Centre for Addiction and Mental Health, Toronto, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
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Hall PA, Burhan AM, MacKillop JC, Duarte D. Next-generation cognitive assessment: Combining functional brain imaging, system perturbations and novel equipment interfaces. Brain Res Bull 2023; 204:110797. [PMID: 37875208 DOI: 10.1016/j.brainresbull.2023.110797] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/14/2023] [Accepted: 10/19/2023] [Indexed: 10/26/2023]
Abstract
Conventional cognitive assessment is widely used in clinical and research settings, in educational institutions, and in the corporate world for personnel selection. Such approaches involve having a client, a patient, or a research participant complete a series of standardized cognitive tasks in order to challenge specific and global cognitive abilities, and then quantify performance for the desired end purpose. The latter may include a diagnostic confirmation of a disease, description of a state or ability, or matching cognitive characteristics to a particular occupational role requirement. Metrics derived from cognitive assessments are putatively informative about important features of the brain and its function. For this reason, the research sector also makes use of cognitive assessments, most frequently as a stimulus for cognitive activity from which to extract functional neuroimaging data. Such "task-related activations" form the core of the most widely used neuroimaging technologies, such as fMRI. Much of what we know about the brain has been drawn from the interleaving of cognitive assessments of various types with functional brain imaging technologies. Despite innovation in neuroimaging (i.e., quantifying the neural response), relatively little innovation has occurred on task presentation and volitional response measurement; yet these together comprise the core of cognitive performance. Moreover, even when cognitive assessment is interleaved with functional neuroimaging, this is most often undertaken in the research domain, rather than the primary applications of cognitive assessment in diagnosis and monitoring, education and personnel selection. There are new ways in which brain imaging-and even more importantly, brain modulation-technologies can be combined with automation and artificial intelligence to deliver next-generation cognitive assessment methods. In this review paper, we describe some prototypes for how this can be done and identify important areas for progress (technological and otherwise) to enable it to happen. We will argue that the future of cognitive assessment will include semi- and fully-automated assessments involving neuroimaging, standardized perturbations via neuromodulation technologies, and artificial intelligence. Furthermore, the fact that cognitive assessments take place in a social/interpersonal context-normally between the patient and clinician-makes the human-machine interface consequential, and this will also be discussed.
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Affiliation(s)
- Peter A Hall
- School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, Ontario, Canada; Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Ontario, Canada.
| | - Amer M Burhan
- Ontario Shores Centre for Mental Health Sciences, Whitby, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - James C MacKillop
- Department of Psychiatry and Behavioural Neurosciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Dante Duarte
- Department of Psychiatry and Behavioural Neurosciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada; Seniors Mental Health Program, St. Joseph's Healthcare, Hamilton, Ontario, Canada
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Wagner SK, Cortina-Borja M, Silverstein SM, Zhou Y, Romero-Bascones D, Struyven RR, Trucco E, Mookiah MRK, MacGillivray T, Hogg S, Liu T, Williamson DJ, Pontikos N, Patel PJ, Balaskas K, Alexander DC, Stuart KV, Khawaja AP, Denniston AK, Rahi JS, Petzold A, Keane PA. Association Between Retinal Features From Multimodal Imaging and Schizophrenia. JAMA Psychiatry 2023; 80:478-487. [PMID: 36947045 PMCID: PMC10034669 DOI: 10.1001/jamapsychiatry.2023.0171] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/23/2023] [Indexed: 03/23/2023]
Abstract
Importance The potential association of schizophrenia with distinct retinal changes is of clinical interest but has been challenging to investigate because of a lack of sufficiently large and detailed cohorts. Objective To investigate the association between retinal biomarkers from multimodal imaging (oculomics) and schizophrenia in a large real-world population. Design, Setting, and Participants This cross-sectional analysis used data from a retrospective cohort of 154 830 patients 40 years and older from the AlzEye study, which linked ophthalmic data with hospital admission data across England. Patients attended Moorfields Eye Hospital, a secondary care ophthalmic hospital with a principal central site, 4 district hubs, and 5 satellite clinics in and around London, United Kingdom, and had retinal imaging during the study period (January 2008 and April 2018). Data were analyzed from January 2022 to July 2022. Main Outcomes and Measures Retinovascular and optic nerve indices were computed from color fundus photography. Macular retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (mGC-IPL) thicknesses were extracted from optical coherence tomography. Linear mixed-effects models were used to examine the association between schizophrenia and retinal biomarkers. Results A total of 485 individuals (747 eyes) with schizophrenia (mean [SD] age, 64.9 years [12.2]; 258 [53.2%] female) and 100 931 individuals (165 400 eyes) without schizophrenia (mean age, 65.9 years [13.7]; 53 253 [52.8%] female) were included after images underwent quality control and potentially confounding conditions were excluded. Individuals with schizophrenia were more likely to have hypertension (407 [83.9%] vs 49 971 [48.0%]) and diabetes (364 [75.1%] vs 28 762 [27.6%]). The schizophrenia group had thinner mGC-IPL (-4.05 μm, 95% CI, -5.40 to -2.69; P = 5.4 × 10-9), which persisted when investigating only patients without diabetes (-3.99 μm; 95% CI, -6.67 to -1.30; P = .004) or just those 55 years and younger (-2.90 μm; 95% CI, -5.55 to -0.24; P = .03). On adjusted analysis, retinal fractal dimension among vascular variables was reduced in individuals with schizophrenia (-0.14 units; 95% CI, -0.22 to -0.05; P = .001), although this was not present when excluding patients with diabetes. Conclusions and Relevance In this study, patients with schizophrenia had measurable differences in neural and vascular integrity of the retina. Differences in retinal vasculature were mostly secondary to the higher prevalence of diabetes and hypertension in patients with schizophrenia. The role of retinal features as adjunct outcomes in patients with schizophrenia warrants further investigation.
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Affiliation(s)
- Siegfried K. Wagner
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Mario Cortina-Borja
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Steven M. Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, New York
- Department of Neuroscience, University of Rochester Medical Center, Rochester, New York
- Center for Visual Science, University of Rochester, Rochester, New York
| | - Yukun Zhou
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - David Romero-Bascones
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Robbert R. Struyven
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Emanuele Trucco
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Muthu R. K. Mookiah
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Tom MacGillivray
- VAMPIRE Project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen Hogg
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Timing Liu
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Dominic J. Williamson
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Nikolas Pontikos
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Praveen J. Patel
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Konstantinos Balaskas
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Daniel C. Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Kelsey V. Stuart
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Anthony P. Khawaja
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Alastair K. Denniston
- University of Birmingham, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
| | - Jugnoo S. Rahi
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Great Ormond Street Hospital NHS Foundation Trust, London, United Kingdom
- Ulverscroft Vision Research Group, University College London, London, United Kingdom
- NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom
| | - Axel Petzold
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Pearse A. Keane
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
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9
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Zhang S, Webers CAB, Berendschot TTJM. Luminosity rectified blind Richardson-Lucy deconvolution for single retinal image restoration. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 229:107297. [PMID: 36563648 DOI: 10.1016/j.cmpb.2022.107297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/14/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND AND OBJECTIVE Due to imperfect imaging conditions, retinal images can be degraded by uneven/insufficient illumination, blurriness caused by optical aberrations and unintentional motions. Degraded images reduce the effectiveness of diagnosis by an ophthalmologist. To restore the image quality, in this research we propose the luminosity rectified Richardson-Lucy (LRRL) blind deconvolution framework for single retinal image restoration. METHODS We established an image formation model based on the double-pass fundus reflection feature and developed a differentiable non-convex cost function that jointly achieves illumination correction and blind deconvolution. To solve this non-convex optimization problem, we derived the closed-form expression of the gradients and used gradient descent with Nesterov-accelerated adaptive momentum estimation to accelerate the optimization, which is more efficient than the traditional half quadratic splitting method. RESULTS The LRRL was tested on 1719 images from three public databases. Four image quality matrixes including image definition, image sharpness, image entropy, and image multiscale contrast were used for objective assessments. The LRRL was compared against the state-of-the-art retinal image blind deconvolution methods. CONCLUSIONS Our LRRL corrects the problematic illumination and improves the clarity of the retinal image simultaneously, showing its superiority in terms of restoration quality and implementation efficiency. The MATLAB code is available on Github.
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Affiliation(s)
- Shuhe Zhang
- University Eye Clinic Maastricht, Maastricht University Medical Center +, P.O. Box 5800, Maastricht, AZ 6202, the Netherlands.
| | - Carroll A B Webers
- University Eye Clinic Maastricht, Maastricht University Medical Center +, P.O. Box 5800, Maastricht, AZ 6202, the Netherlands
| | - Tos T J M Berendschot
- University Eye Clinic Maastricht, Maastricht University Medical Center +, P.O. Box 5800, Maastricht, AZ 6202, the Netherlands
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10
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Mio M, Grigorian A, Zou Y, Dimick MK, Selkirk B, Kertes P, McCrindle BW, Swardfager W, Hahn MK, Black SE, MacIntosh BJ, Goldstein BI. Neurovascular correlates of retinal microvascular caliber in adolescent bipolar disorder. J Affect Disord 2023; 320:81-90. [PMID: 36162693 DOI: 10.1016/j.jad.2022.09.082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 08/26/2022] [Accepted: 09/20/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND The connection between vascular and brain metrics is well-studied in older adults, but neglected in youth and in psychiatric populations at increased cardiovascular risk. We therefore examined the association of retinal vascular caliber with cerebral blood flow (CBF) in adolescents with and without bipolar disorder (BD). METHODS Ninety-four adolescents (n = 48 BD, n = 46 controls) completed retinal fundus imaging, yielding estimates of arteriolar and venular diameter. Arterial spin labelling MRI was performed to measure CBF. We tested for associations between retinal vascular caliber and CBF in regions of interest; anterior cingulate cortex (ACC), middle frontal gyrus, and hippocampus in BD and controls separately. Complementary voxel-wise analyses were also performed. RESULTS In the BD group, higher arteriovenous ratio (AVR) was associated with greater ACC CBF (β = 0.34, puncorrected = 0.02), after controlling for age, sex, and BMI, however this finding did not survive correction for multiple comparisons. The control group did not show any associations (β = 0.13, puncorrected = 0.40). Voxel-wise analyses within the BD group detected a significant positive association between AVR and regional CBF in two distinct clusters: i) left hippocampus (p < 0.0001); ii) right middle temporal gyrus (p = 0.04). LIMITATIONS Limited sample size; young, medically healthy sample limits signal detection; cross-sectional design. CONCLUSION This study reveals that higher AVR is associated with higher regional CBF in adolescents with BD. Present findings advance understanding of potential neurofunctional mechanisms linking retinal vascular caliber with psychiatric diagnoses. This proof-of-concept study was designed to generate initial insights to guide future studies focusing on the vascular-brain connection in youth and in psychiatry.
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Affiliation(s)
- Megan Mio
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada.
| | - Anahit Grigorian
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada
| | - Yi Zou
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada
| | - Mikaela K Dimick
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada
| | - Beth Selkirk
- John and Liz Tory Eye Centre, Department of Ophthalmology and Vision Sciences, Sunnybrook Health Sciences Centre, Canada
| | - Peter Kertes
- John and Liz Tory Eye Centre, Department of Ophthalmology and Vision Sciences, Sunnybrook Health Sciences Centre, Canada; University of Toronto, Ophthalmology and Vision Sciences, Toronto, Canada
| | - Brian W McCrindle
- Labatt Family Heart Centre, Hospital for Sick Children, Toronto, Canada; Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Walter Swardfager
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Margaret K Hahn
- Schizophrenia Department, Centre for Addiction and Mental Health, Toronto, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
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11
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Atagun MI, Sonugur G, Yusifova A, Celik I, Ugurlu N. Machine learning algorithms revealed distorted retinal vascular branching in individuals with bipolar disorder. J Affect Disord 2022; 315:35-41. [PMID: 35905794 DOI: 10.1016/j.jad.2022.07.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/18/2022] [Accepted: 07/22/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Converging evidence designate vascular vulnerability in bipolar disorder. The predisposition progresses into distortion in time, thus detection of the vascular susceptibility may help reducing morbidity and mortality. It was aimed to assess retinal fundus vasculature in cardiovascular risk-free patients with bipolar disorder. METHODS Total of 68 individuals (38 patients with bipolar disorder, 30 healthy controls) were enrolled. In order to avoid from degenerative processes, participants were between 18 and 45 years of age, vascular risk factors were eliminated. Microscopic retinal fundus images were processed with machine learning algorithms (multilayer perceptron and support vector machine) and artificial neural network approaches. RESULTS In comparison to the healthy control group, the bipolar disorder group had lower number of breaking points (P < 0.001), lower number of curved vessel segments (P < 0.001). Total length of smooth vessels was longer (P = 0.040), and total length of curved vessel segments was significantly shorter (P < 0.001) than the control group. Vascular endothelial growth factor levels and gender were the confounders. There were significant correlations between vascular measures and serum lipid levels. LIMITATIONS Sample size was small and patients were on various medications. CONCLUSIONS These results indicate distortion in retinal vascular branching in bipolar disorder. Disrupted branching may reflect disturbed prosperity of retinal vascular plexus in patients with bipolar disorder. Alterations in the retinal vessels might be indicators of disruption in cerebral vascular system efficiency and thus neurovascular unit dysfunction in bipolar disorder.
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Affiliation(s)
- Murat Ilhan Atagun
- Department of Psychiatry, Canakkale Onsekiz Mart University Faculty of Medicine, Canakkale, Turkey.
| | - Guray Sonugur
- Mechatronics Engineering, Faculty of Technology, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | | | - Ibrahim Celik
- Mechatronics Engineering, Faculty of Technology, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Nagihan Ugurlu
- Department of Ophtalmology, Ankara Yildirim Beyazit University Faculty of Medicine, Ankara, Turkey
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12
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Komatsu H, Onoguchi G, Jerotic S, Kanahara N, Kakuto Y, Ono T, Funakoshi S, Yabana T, Nakazawa T, Tomita H. Retinal layers and associated clinical factors in schizophrenia spectrum disorders: a systematic review and meta-analysis. Mol Psychiatry 2022; 27:3592-3616. [PMID: 35501407 DOI: 10.1038/s41380-022-01591-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 02/08/2023]
Abstract
INTRODUCTION The retina shares structural and functional similarities with the brain. Furthermore, structural changes in the retina have been observed in patients with schizophrenia spectrum disorders (SSDs). This systematic review and meta-analysis investigated retinal abnormalities and their association with clinical factors for SSD. METHODS Studies related to retinal layers in SSD patients were retrieved from PubMed, Scopus, Web of Science, Cochrane Controlled Register of Trials, International Clinical Trials Registry Platform, and PSYNDEX databases from inception to March 31, 2021. We screened and assessed the eligibility of the identified studies. EZR ver.1.54 and the metafor package in R were used for the meta-analysis and a random-effects or fixed-effects model was used to report standardized mean differences (SMDs). RESULTS Twenty-three studies (2079 eyes of patients and 1571 eyes of controls) were included in the systematic review and meta-analysis. The average peripapillary retinal nerve fiber layer (pRNFL) thickness, average macular thickness (MT), and macular ganglion cell layer-inner plexiform layer (GCL-IPL) thickness were significantly lower in patients than in controls (n = 14, 6, and 3, respectively; SMD = -0.33, -0.49, and -0.43, respectively). Patients also had significantly reduced macular volume (MV) compared to controls (n = 7; SMD = -0.53). The optic cup volume (OCV) was significantly larger in patients than in controls (n = 3; SMD = 0.28). The meta-regression analysis indicated an association between several clinical factors, such as duration of illness and the effect size of the pRNFL, macular GCL-IPL, MT, and MV. CONCLUSION Thinning of the pRNFL, macular GCL-IPL, MT, and MV and enlargement of the OCV in SSD were observed. Retinal abnormalities may be applicable as state/trait markers in SSDs. The accumulated evidence was mainly cross-sectional and requires verification by longitudinal studies to characterize the relationship between OCT findings and clinical factors.
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Affiliation(s)
- Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan. .,Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan. .,Miyagi Psychiatric Center, Natori, Japan.
| | - Goh Onoguchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Stefan Jerotic
- Clinic for Psychiatry, University Clinical Centre of Serbia, Belgrade, Serbia.,Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Nobuhisa Kanahara
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan.,Division of Medical Treatment and Rehabilitation, Chiba University Center for Forensic Mental Health, Chiba, Japan
| | - Yoshihisa Kakuto
- Miyagi Psychiatric Center, Natori, Japan.,Department of Community Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | | | - Shunichi Funakoshi
- Miyagi Psychiatric Center, Natori, Japan.,Department of Community Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Takeshi Yabana
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Toru Nakazawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Collaborative Program for Ophthalmic Drug Discovery, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Ophthalmic Imaging and Information Analytics, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Retinal Disease Control, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Advanced Ophthalmic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Disaster Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
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13
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Association between retinal vascular measures and brain white matter lesions in schizophrenia. Asian J Psychiatr 2022; 70:103042. [PMID: 35219980 DOI: 10.1016/j.ajp.2022.103042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 01/28/2022] [Accepted: 02/17/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Recent studies have examined retinal vascular abnormalities in schizophrenia as retinal vascular imaging is a non-invasive proxy to cerebral microvasculature. However, relation between retinal vascular abnormalities and brain structure is not well examined in schizophrenia. Hence in this study, for the first time, we examined the relationship between retinal vascular measures and brain white matter lesions in schizophrenia. We examined brain white matter lesions as they are considered a predictive marker for future adverse cerebrovascular event. METHODS We acquired retinal vascular images of both eyes using a non-mydriatic camera and calculated retinal vascular diameter, tortuosity, trajectory and fractal dimension using validated methods. All patients underwent Magnetic Resonance Imaging of bran and we computed white matter hypo-intensities using Freesurfer software. We performed a linear regression analysis to examine the relationship between white matter hypo-intensities and retinal vascular measures controlling for age, sex, fasting blood sugar, creatinine, whole-brain volume, and antipsychotic dose. RESULTS The regression model was significant in Schizophrenia patients (R=0.983;R2 =0.966;-F=10.849;p = 0.008) but not in healthy volunteers (R=0.828;R2 =0.686;F=0.182; p = 0.963). Among the retinal vascular measures, arterial tortuosity (β = 0.963;p-0.002), tortuosity (β = -1.002;p = 0.001) and fractal dimension (β = -0.688;p = 0.014) were significant predictors of white matter lesions. DISCUSSION The current study's findings support the conclusion that retinal vascular fractal dimension and tortuosity are associated with changes in cerebral white matter and may be considered proxy markers for cerebral microvasculature in schizophrenia. Considering the relationship between white matter lesions and stroke, these observations could have important clinical implications to screen schizophrenia patients for risk of adverse cerebrovascular event.
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14
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Hsu TW, Bai YM, Tsai SJ, Chen TJ, Liang CS, Chen MH. Risk of retinal disease in patients with bipolar disorder: A nationwide cohort study. Psychiatry Clin Neurosci 2022; 76:106-113. [PMID: 34994991 DOI: 10.1111/pcn.13326] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 12/06/2021] [Accepted: 12/21/2021] [Indexed: 12/13/2022]
Abstract
AIMS Patients with brain diseases have been associated with several retinal abnormalities. This study aimed to assess the risk of retinal diseases in patients with bipolar disorder (BD). METHODS This nationwide cohort of 73,271 patients with BD was enrolled between 2001 and 2009. To identify newly diagnosed retinal diseases, the patients were followed to the end of 2011. The control group included 293,084 patients, matched for demographic characteristics and medical and ophthalmological comorbidities. The Kaplan-Meier method was used to estimate incidence rates of retinal diseases. Cox regression was applied to calculate the hazard ratios (HRs) with 95% confidence intervals (CIs) after adjusting for confounders. RESULTS Patients with BD had higher incidence rates of any retinal disease than the controls (1.27% vs 0.48%, P < 0.001), and retinal diseases were diagnosed at a young age (54.23 years [±12.68 years] vs 57.01 years [±13.12 years], P < 0.001). After adjusting for demographic characteristics, physical and ophthalmological comorbidities, and medications, the HR was 3.24 (95% CI, 2.18-4.82) for retinal detachment, 2.35 (95% CI, 1.83-3.03) for primary retinopathy, 2.26 (95% CI, 1.91-2.68) for diabetes retinopathy, 2.39 (95% CI, 1.49-3.82) for hypertensive retinopathy, and 3.46 (95% CI, 2.45-4.89) for retinal vascular complications in patients with BD vs controls. The cumulative daily dose of bipolar medications was not associated with the incidence of any retinal disease. CONCLUSION Patients with BD were associated with a higher risk of retinal detachment, primary retinopathy, diabetes retinopathy, hypertensive retinopathy, and retinal vascular complications than the controls. Further studies are needed to examine the mechanisms mediating these retinal diseases in patients with BD.
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Affiliation(s)
- Tien-Wei Hsu
- Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Tzeng-Ji Chen
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Chih-Sung Liang
- Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
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15
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Appaji A, Harish V, Korann V, Devi P, Jacob A, Padmanabha A, Kumar V, Varambally S, Venkatasubramanian G, Rao SV, Suma HN, Webers CAB, Berendschot TTJM, Rao NP. Deep learning model using retinal vascular images for classifying schizophrenia. Schizophr Res 2022; 241:238-243. [PMID: 35176722 DOI: 10.1016/j.schres.2022.01.058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 01/25/2022] [Accepted: 01/29/2022] [Indexed: 12/13/2022]
Abstract
Contemporary psychiatric diagnosis still relies on the subjective symptom report of the patient during a clinical interview by a psychiatrist. Given the significant variability in personal reporting and differences in the skill set of psychiatrists, it is desirable to have objective diagnostic markers that could help clinicians differentiate patients from healthy individuals. A few recent studies have reported retinal vascular abnormalities in patients with schizophrenia (SCZ) using retinal fundus images. The goal of this study was to use a trained convolution neural network (CNN) deep learning algorithm to detect SCZ using retinal fundus images. A total of 327 subjects [139 patients with Schizophrenia (SCZ) and 188 Healthy volunteers (HV)] were recruited, and retinal images were acquired using a fundus camera. The images were preprocessed and fed to a convolution neural network for the classification. The model performance was evaluated using the area under the receiver operating characteristic curve (AUC). The CNN achieved an accuracy of 95% for classifying SCZ and HV with an AUC of 0.98. Findings from the current study suggest the potential utility of deep learning to classify patients with SCZ and assist clinicians in clinical settings. Future studies need to examine the utility of the deep learning model with retinal vascular images as biomarkers in schizophrenia with larger sample sizes.
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Affiliation(s)
- Abhishek Appaji
- Department of Medical Electronics Engineering, B.M.S. College of Engineering, Bangalore, India
| | - Vaishak Harish
- Department of Medical Electronics Engineering, B.M.S. College of Engineering, Bangalore, India
| | - Vittal Korann
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Priyanka Devi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Arpitha Jacob
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Anantha Padmanabha
- Department of Medical Electronics Engineering, B.M.S. College of Engineering, Bangalore, India
| | - Vijay Kumar
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | | | - Shyam Vasudeva Rao
- University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands
| | - H N Suma
- Department of Medical Electronics Engineering, B.M.S. College of Engineering, Bangalore, India
| | - Caroll A B Webers
- University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Tos T J M Berendschot
- University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Naren P Rao
- National Institute of Mental Health and Neurosciences, Bangalore, India.
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16
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Aguglia A, Salvi V, Amerio A, Gari M, Dragogna F, Mencacci C, Volpe U, Serafini G, Amore M. Number of episodes and duration of illness associated with hypertension and 10-year cardiovascular risk in patients with bipolar disorder type I. Psychiatry Res 2022; 308:114344. [PMID: 35065469 DOI: 10.1016/j.psychres.2021.114344] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/20/2021] [Accepted: 12/11/2021] [Indexed: 12/24/2022]
Abstract
Severe Mental Illnesses, including bipolar disorder (BD) and schizophrenia (SCZ), are burdened with an increased mortality and a significantly reduced life expectancy than general population, and cardiovascular diseases (CVD) are considered the most contributing conditions. The aim of the present study is to evaluate 10-year CV risk and the associated clinical characteristics in patients with SCZ, BD type I and II. Patients were consecutively recruited from two Italian psychiatric acute units. Single CV risk factors were assessed, and 10-year CV risk calculated by means of the CUORE Project 10-year CV risk algorithm, based on the combination of the following risk factors: age, systolic blood pressure, total and high-density lipoprotein cholesterol, diabetes, smoking habit, and hypertensive treatment. Three hundred patients were included. Patients with BD type I showed a higher prevalence of hypertension and 10-year CV risk score compared to the other groups. In subjects with BD type I, we found a significant correlation between duration of illness and number of mood episodes and both hypertension and 10-year CV risk score. Several preventive strategies should be provided to these vulnerable populations, such as correcting unhealthy lifestyles, prescribing medications at lower CV and metabolic risk, enhancing access to care.
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Affiliation(s)
- Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
| | - Virginio Salvi
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, School of Medicine, Polytechnic University of Marche, Ancona, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Matteo Gari
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Filippo Dragogna
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Claudio Mencacci
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, School of Medicine, Polytechnic University of Marche, Ancona, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
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17
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von Scheibler ENMM, van der Valk Bouman ES, Nuijts MA, Bauer NJC, Berendschot TTJM, Vermeltfoort P, Bok LA, van Eeghen AM, Houben ML, van Amelsvoort TAMJ, Boot E, van Egmond-Ebbeling MB. Ocular findings in 22q11.2 deletion syndrome: A systematic literature review and results of a Dutch multicenter study. Am J Med Genet A 2021; 188:569-578. [PMID: 34773366 PMCID: PMC9298823 DOI: 10.1002/ajmg.a.62556] [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: 06/25/2021] [Revised: 09/04/2021] [Accepted: 10/19/2021] [Indexed: 12/02/2022]
Abstract
The 22q11.2 deletion syndrome (22q11.2DS) is a multisystem disorder with an estimated prevalence of 1:3000 live births. Manifestations show a marked variability in expression and include speech‐ and language delay, intellectual disability, and neuropsychiatric disorders. We aim to provide an overview of ocular findings in 22q11.2DS in order to optimize recommendations for ophthalmic screening. We combined results from a systematic literature review with results from a multicenter cross‐sectional study of patients with 22q11.2DS who were assessed by an ophthalmologist. Our systematic literature search yielded four articles, describing 270 patients. We included 132 patients in our cross‐sectional study (median age 8.9 [range 0–56] years). Most reported ocular findings were retinal vascular tortuosity (32%–78%), posterior embryotoxon (22%–50%), eye lid hooding (20%–67%), strabismus (12%–36%), amblyopia (2%–11%), ptosis (4%–6%), and refractive errors, of which hyperopia (6%–48%) and astigmatism (3%–23%) were most common. Visual acuity was (near) normal in most patients (91%–94%). Refractive errors, strabismus, and amblyopia are treatable conditions that are frequently present in patients with 22q11.2DS and should be corrected at an early stage. Therefore, in 22q11.2DS, we recommend ophthalmic and orthoptic screening at the age of 3 years or at diagnosis, and a low‐threshold referral in adults.
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Affiliation(s)
- Emma N M M von Scheibler
- Advisium, 's Heeren Loo Zorggroep, Amersfoort, The Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | | | - Myrthe A Nuijts
- Department of Ophthalmology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Noël J C Bauer
- University Eye Clinic Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Tos T J M Berendschot
- University Eye Clinic Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Pit Vermeltfoort
- Department of Ophthalmology, Máxima Medical Center, Veldhoven, The Netherlands
| | - Levinus A Bok
- Department of Pediatrics, Máxima Medical Center, Veldhoven, The Netherlands
| | - Agnies M van Eeghen
- Advisium, 's Heeren Loo Zorggroep, Amersfoort, The Netherlands.,ENCORE, Erasmus Medical Center, Rotterdam, The Netherlands.,Emma Children's Hospital, University of Amsterdam, Amsterdam, The Netherlands
| | - Michiel L Houben
- Department of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Erik Boot
- Advisium, 's Heeren Loo Zorggroep, Amersfoort, The Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands.,The Dalglish Family 22q Clinic, University Health Network, Toronto, Ontario, Canada
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18
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Koman-Wierdak E, Róg J, Brzozowska A, Toro MD, Bonfiglio V, Załuska-Ogryzek K, Karakuła-Juchnowicz H, Rejdak R, Nowomiejska K. Analysis of the Peripapillary and Macular Regions Using OCT Angiography in Patients with Schizophrenia and Bipolar Disorder. J Clin Med 2021; 10:4131. [PMID: 34575242 PMCID: PMC8472507 DOI: 10.3390/jcm10184131] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/03/2021] [Accepted: 09/07/2021] [Indexed: 01/16/2023] Open
Abstract
PURPOSE To measure RNFL and vasculature around the optic disc and in the macula in patients with schizophrenia (SZ) and bipolar disorder (BD) using optical coherence tomography angiography (OCTA). METHODS 24 eyes of patients with SZ and 16 eyes of patients with BD as well as 30 eyes of healthy subjects were examined with OCTA. The radiant peripapillary capillary (RPC) density and RNFL thickness were measured in the peripapillary area. Moreover, macular thickness and vessel density were measured in both superficial and deep layers. RESULTS Significantly decreased values of vessel density in the macular deep vascular complex were found in the eyes of patients with SZ, compared to BD and the control group. The macular thickness in the whole vascular complex and in the fovea was significantly lower in SZ and BD group than in the control group. The radiant peripapillary vascular density and RNFL thickness were similar across groups. CONCLUSIONS The retinal microvascular dysfunction occurs in the macula in patients with SZ and BD, but not around optic disc. OCTA can become an essential additional diagnostic tool in detection of psychiatric disorders.
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Affiliation(s)
- Edyta Koman-Wierdak
- Department of General Ophthalmology, Medical University of Lublin, 20-079 Lublin, Poland; (M.D.T.); (R.R.); (K.N.)
| | - Joanna Róg
- Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, 20-079 Lublin, Poland; (J.R.); (H.K.-J.)
| | - Agnieszka Brzozowska
- Department of Mathematics and Medical Biostatistics, Medical University of Lublin, 20-079 Lublin, Poland;
| | - Mario Damiano Toro
- Department of General Ophthalmology, Medical University of Lublin, 20-079 Lublin, Poland; (M.D.T.); (R.R.); (K.N.)
- Department of Ophthalmology, University of Zurich, 8091 Zurich, Switzerland
| | - Vincenza Bonfiglio
- Department of Experimental Biomedicine and Clinical Neuroscience, Ophthalmology Section, University of Palermo, 90127 Palermo, Italy;
| | | | - Hanna Karakuła-Juchnowicz
- Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, 20-079 Lublin, Poland; (J.R.); (H.K.-J.)
| | - Robert Rejdak
- Department of General Ophthalmology, Medical University of Lublin, 20-079 Lublin, Poland; (M.D.T.); (R.R.); (K.N.)
| | - Katarzyna Nowomiejska
- Department of General Ophthalmology, Medical University of Lublin, 20-079 Lublin, Poland; (M.D.T.); (R.R.); (K.N.)
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19
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Korann V, Appaji A, Jacob A, Devi P, Nagendra B, Chako DM, Padmanabha A, Thonse U, Bharath RD, Kumar V, Varambally S, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Association between retinal vascular caliber and brain structure in schizophrenia. Asian J Psychiatr 2021; 61:102707. [PMID: 34052670 DOI: 10.1016/j.ajp.2021.102707] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 05/11/2021] [Accepted: 05/21/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Several lines of research in the last decade have indicated the potential utility of retina as a window to the brain. Emerging evidence suggests abnormalities in retinal vascular caliber in schizophrenia. However, the relationship between retinal vascular measures and brain structure has not been examined in schizophrenia to date. Hence, we examined the relationship between retinal vasculature measured using fundus photography and brain structure measured using magnetic resonance imaging. METHOD We recruited 17 healthy volunteers and 20 patients with schizophrenia. Using a non-mydriatic camera, we captured the images for left and right eyes separately and retinal vascular calibers were calculated using a semi-automated software package. Whole-brain anatomical T1 MPRAGE images were acquired using a 3-Tesla MRI scanner. Whole-brain and regional volume and cortical thickness were calculated using the Freesurfer software package. We used FreeSurfer's QDEC interface to compute vertex-by-vertex for analysis of the volume and cortical thickness. The relation between brain volume, cortical thickness, and retinal vascular caliber was examined using partial correlation and regression analysis. RESULTS There was a significant negative correlation between average CRVE and global cortical mean thickness in schizophrenia but not in healthy. In schizophrenia patients, there was a significant negative correlation between average CRVE and cortical thickness in frontal regions - left rostral middle frontal, left superior frontal, and right caudal middle frontal gyri and posterior brain regions - left lateral occipital gyrus and left posterior cingulate cortex. DISCUSSION The findings of the study suggest potential utility of retinal venular diameter as a proxy marker to abnormal neurodevelopment in schizophrenia.
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Affiliation(s)
- Vittal Korann
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Abhishek Appaji
- Department of Medical Electronics, BMS College of Engineering, Bangalore, India
| | - Arpitha Jacob
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Priyanka Devi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Bhargavi Nagendra
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Dona Maria Chako
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Ananth Padmanabha
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Umesh Thonse
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Rose Dawn Bharath
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Vijay Kumar
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | | | - Shyam Vasudeva Rao
- Department of Medical Electronics, BMS College of Engineering, Bangalore, India
| | - Carroll A B Webers
- University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Tos T J M Berendschot
- University Eye Clinic Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Naren P Rao
- National Institute of Mental Health and Neurosciences, Bangalore, India.
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20
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Lagatuz M, Vyas RJ, Predovic M, Lim S, Jacobs N, Martinho M, Valizadegan H, Kao D, Oza N, Theriot CA, Zanello SB, Taibbi G, Vizzeri G, Dupont M, Grant MB, Lindner DJ, Reinecker HC, Pinhas A, Chui TY, Rosen RB, Moldovan N, Vickerman MB, Radhakrishnan K, Parsons-Wingerter P. Vascular Patterning as Integrative Readout of Complex Molecular and Physiological Signaling by VESsel GENeration Analysis. J Vasc Res 2021; 58:207-230. [PMID: 33839725 PMCID: PMC9903340 DOI: 10.1159/000514211] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 12/23/2020] [Indexed: 11/19/2022] Open
Abstract
The molecular signaling cascades that regulate angiogenesis and microvascular remodeling are fundamental to normal development, healthy physiology, and pathologies such as inflammation and cancer. Yet quantifying such complex, fractally branching vascular patterns remains difficult. We review application of NASA's globally available, freely downloadable VESsel GENeration (VESGEN) Analysis software to numerous examples of 2D vascular trees, networks, and tree-network composites. Upon input of a binary vascular image, automated output includes informative vascular maps and quantification of parameters such as tortuosity, fractal dimension, vessel diameter, area, length, number, and branch point. Previous research has demonstrated that cytokines and therapeutics such as vascular endothelial growth factor, basic fibroblast growth factor (fibroblast growth factor-2), transforming growth factor-beta-1, and steroid triamcinolone acetonide specify unique "fingerprint" or "biomarker" vascular patterns that integrate dominant signaling with physiological response. In vivo experimental examples described here include vascular response to keratinocyte growth factor, a novel vessel tortuosity factor; angiogenic inhibition in humanized tumor xenografts by the anti-angiogenesis drug leronlimab; intestinal vascular inflammation with probiotic protection by Saccharomyces boulardii, and a workflow programming of vascular architecture for 3D bioprinting of regenerative tissues from 2D images. Microvascular remodeling in the human retina is described for astronaut risks in microgravity, vessel tortuosity in diabetic retinopathy, and venous occlusive disease.
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Affiliation(s)
- Mark Lagatuz
- Redline Performance Solutions, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Ruchi J. Vyas
- Mori Associates, Space Biology Division, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Marina Predovic
- Blue Marble Space Institute of Science, Space Biology Division, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Shiyin Lim
- Blue Marble Space Institute of Science, Space Biology Division, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Nicole Jacobs
- Blue Marble Space Institute of Science, Space Biology Division, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Miguel Martinho
- Universities Space Research Association, Intelligent Systems Division, Exploration Technology Directorate, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Hamed Valizadegan
- Universities Space Research Association, Intelligent Systems Division, Exploration Technology Directorate, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - David Kao
- Advanced Supercomputing & Intelligent Systems Divisions, Exploration Technology Directorate, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Nikunj Oza
- Advanced Supercomputing & Intelligent Systems Divisions, Exploration Technology Directorate, Ames Research Center, National Aeronautics and Space Administration, Moffett Field CA, USA
| | - Corey A. Theriot
- Department of Preventive Medicine and Community Health, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
- KBRWyle, Johnson Space Center, National Aeronautics and Space Administration, Houston, TX, USA
| | - Susana B. Zanello
- KBRWyle, Johnson Space Center, National Aeronautics and Space Administration, Houston, TX, USA
| | - Giovanni Taibbi
- Department of Ophthalmology and Visual Sciences, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Gianmarco Vizzeri
- Department of Ophthalmology and Visual Sciences, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Mariana Dupont
- Department of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama, Birmingham AL, USA
| | - Maria B. Grant
- Department of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama, Birmingham AL, USA
| | - Daniel J. Lindner
- Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland OH, USA
| | - Hans-Christian Reinecker
- Departments of Medicine and Immunology, Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Alexander Pinhas
- Department of Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA
| | - Toco Y. Chui
- Department of Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA
| | - Richard B. Rosen
- Department of Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicanor Moldovan
- Department of Ophthalmology, Indiana University School of Medicine and Indiana University Purdue University at Indianapolis IN, USA
- Richard L. Roudebush VA Medical Center, Veteran’s Administration, Indianapolis IN, USA
| | - Mary B. Vickerman
- Data Systems Branch, John Glenn Research Center, National Aeronautics and Space Administration, Cleveland, OH, USA (retired)
| | - Krishnan Radhakrishnan
- Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services, Rockville, MD, USA
- College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Patricia Parsons-Wingerter
- Space Biology Division, Space Technology Mission Directorate, Ames Research Center, National Aeronautics and Space Administration, Moffett Field, CA, USA
- Low Gravity Exploration Technology, Research and Engineering Directorate, John Glenn Research Center, National Aeronautics and Space Administration, Cleveland, OH, USA
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21
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Provost EB, Nawrot TS, Int Panis L, Standaert A, Saenen ND, De Boever P. Denser Retinal Microvascular Network Is Inversely Associated With Behavioral Outcomes and Sustained Attention in Children. Front Neurol 2021; 12:547033. [PMID: 33584528 PMCID: PMC7880124 DOI: 10.3389/fneur.2021.547033] [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: 03/31/2020] [Accepted: 01/08/2021] [Indexed: 11/25/2022] Open
Abstract
Changes in geometry of the retinal microvascular network, including vessel width, vessel density, and tortuosity, have been associated with neurological disorders in adults. We investigated metrics of the retinal microvasculature in association with behavior and cognition in 8- to 12-year-old children. Digital fundus images of 190 children (48.2% girls, mean age 9.9 years) were used to calculate retinal vessel diameters, fractal dimension, lacunarity, and tortuosity. Parents filled out a Strengths and Difficulties Questionnaire (SDQ) for behavioral screening. Cognitive performance testing included a computerized version of the Stroop test (selective attention), the Continuous Performance (sustained attention), the Digit-Symbol (visual scanning and information-processing speed) and the Pattern Comparison (visuospatial analytic ability) tests from the Neurobehavioral Evaluation System (NES3) battery. Retinal vessel geometry was significantly associated with the SDQ problem score, which increased with 1.1 points (95% CI: 0.3 to 1.9 points) per interquartile (IQR) increment in retinal fractal dimension, and decreased 1.4 points (95% CI: −2.4 to −0.4 points) or decreased 1.0 points (95% CI: −2.1 to 0.1 points) per IQR increment in retinal vascular lacunarity or tortuosity, respectively. Sensitivity analyses showed that results were driven by the hyperactivity/inattention and conduct problem scales of the SDQ. Correspondingly, mean reaction time on the Continuous Performance test increased by 11 ms (95% CI: 4.4 to 17.6 ms) with an IQR increase in fractal dimension. The results indicate that a denser retinal microvascular network, exemplified by a higher fractal dimension and lower lacunarity, are inversely associated with behavioral outcomes and sustained attention in children.
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Affiliation(s)
- Eline B Provost
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
| | - Luc Int Panis
- Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.,School for Mobility, Hasselt University, Diepenbeek, Belgium
| | - Arnout Standaert
- Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Nelly D Saenen
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Patrick De Boever
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.,Department of Biology, University of Antwerp, Antwerp, Belgium
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22
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Liu CH, Kang EYC, Lin YH, Wu WC, Liu ZH, Kuo CF, Lai CC, Hwang YS. Association of ocular diseases with schizophrenia, bipolar disorder, and major depressive disorder: a retrospective case-control, population-based study. BMC Psychiatry 2020; 20:486. [PMID: 33008365 PMCID: PMC7532110 DOI: 10.1186/s12888-020-02881-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 09/19/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Psychiatric disorders and ocular neurovascular diseases may share a similar pathophysiological route of vascular structures or neurological changes. The aim of this study is to investigate the association between ocular neurovascular diseases and the risk of major psychiatric disorders. METHODS This was a retrospective case-control, population-based study including patients aged ≥20 and were diagnosed between 1997 and 2013. Ocular neurovascular diseases diagnosed between 1997 and 2006 and newly diagnosed psychiatric disorders including bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia between 2007 and 2013 were registered. Patients were propensity-score matched with control groups without psychiatric disorders in each cohort based on selected covariates. RESULTS A total of one million sampled patients in the database were categorized based on their diagnoses; 2243 (37.4% men) were categorized into the BD group, 10,110 (35.2% men) into the MDD group, and 1623 (43.1% men) into the schizophrenia group. In the BD group, all glaucoma (OR 1.49, [1.18-1.89]), open-angle glaucoma (OR 2.08, [1.34-3.24]), and closed-angle glaucoma (OR 2.12, [1.36-3.33]) showed statistical significance of risk. In the MDD group, age-related macular degeneration (OR 1.33, [1.13-1.57]), all glaucoma (OR 1.24, [1.11-1.37]), open-angle glaucoma (OR 1.47, [1.21-1.80]), and dry eye syndrome (OR 1.22, [1.13-1.31]) were associated with a significantly higher risk. In the schizophrenia group, only all glaucoma (OR 1.47, [1.02-2.11]), glaucoma suspect (OR 1.88, [1.01-3.49]), and open-angle glaucoma (OR 2.19, [1.13-4.26]) showed statistical significance. CONCLUSIONS In this population-based study, ocular neurovascular diseases, especially glaucoma, were associated with increased risks of BD, MDD, and schizophrenia.
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Affiliation(s)
- Chun-Hao Liu
- Department of Psychiatry, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan ,Department of Psychiatry, New Taipei Municipal Tu-Cheng Hospital, New Taipei, Taiwan ,grid.145695.aCollege of Medicine, Chang Gung University, Taoyuan, Taiwan ,grid.260567.00000 0000 8964 3950Department of Sinophone Literatures, National Dong Hwa University, Hualien, Taiwan
| | - Eugene Yu-Chuan Kang
- grid.145695.aCollege of Medicine, Chang Gung University, Taoyuan, Taiwan ,Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Yu-Hsiang Lin
- grid.145695.aCollege of Medicine, Chang Gung University, Taoyuan, Taiwan ,Department of Urology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan ,grid.145695.aGraduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wei-Chi Wu
- grid.145695.aCollege of Medicine, Chang Gung University, Taoyuan, Taiwan ,Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Zhuo-Hao Liu
- grid.145695.aCollege of Medicine, Chang Gung University, Taoyuan, Taiwan ,Department of Neurosurgery, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Chang-Fu Kuo
- grid.145695.aCollege of Medicine, Chang Gung University, Taoyuan, Taiwan ,Department of Rheumatology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Chi-Chun Lai
- grid.145695.aCollege of Medicine, Chang Gung University, Taoyuan, Taiwan ,Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Yih-Shiou Hwang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan.
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23
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Gavín A, Garcia-Martin E, Garcia-Campayo J, Viladés E, Orduna E, Satué M. The use of optical coherence tomography in the evaluation of patients with bipolar disorder. ACTA ACUST UNITED AC 2020; 96:141-151. [PMID: 32912807 DOI: 10.1016/j.oftal.2020.07.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 07/12/2020] [Indexed: 11/16/2022]
Abstract
Bipolar disorder (BD) is a mental disorder characterised by episodes of extremal mood changes. In recent years, some researchers found neurodegeneration in patients with BD using Magnetic Resonance Imaging. Evaluation of the optic nerve and the retinal layers using optical coherence tomography (OCT) has proved to be a useful, non-invasive tool for diagnosis and monitoring of neurodegenerative diseases. Accordingly, a decrease in the retinal nerve fibre layer and the ganglion cell complex measured by OCT was found in patients with BD in different studies, suggesting that BD is a neurodegenerative process in addition to a psychiatric disorder. Therefore, the neuro-ophthalmological evaluation of these patients could be used as a marker for diagnosis of this disease. This work analyses literature on retinal degeneration in bipolar disorder patients, and evaluates the ability of OCT devices in the detection of neuronal degeneration affecting the different retinal layers in these patients, and its possible role in the diagnosis and monitoring of the disease.
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Affiliation(s)
- A Gavín
- Servicio de Oftalmología, Hospital Universitario Miguel Servet, Zaragoza, España; Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Grupo de Investigación e Innovación Miguel Servet Oftalmología (GIMSO), Zaragoza, España.
| | - E Garcia-Martin
- Servicio de Oftalmología, Hospital Universitario Miguel Servet, Zaragoza, España; Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Grupo de Investigación e Innovación Miguel Servet Oftalmología (GIMSO), Zaragoza, España
| | - J Garcia-Campayo
- Servicio de Psiquiatría, Hospital Universitario Miguel Servet, Zaragoza, España; Departamento de Psicología y Sociología, facultad de ciencias sociales y humanas, Universidad de Zaragoza, Zaragoza, España
| | - E Viladés
- Servicio de Oftalmología, Hospital Universitario Miguel Servet, Zaragoza, España; Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Grupo de Investigación e Innovación Miguel Servet Oftalmología (GIMSO), Zaragoza, España
| | - E Orduna
- Servicio de Oftalmología, Hospital Universitario Miguel Servet, Zaragoza, España; Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Grupo de Investigación e Innovación Miguel Servet Oftalmología (GIMSO), Zaragoza, España
| | - M Satué
- Servicio de Oftalmología, Hospital Universitario Miguel Servet, Zaragoza, España; Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Grupo de Investigación e Innovación Miguel Servet Oftalmología (GIMSO), Zaragoza, España
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24
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M T, Annamalai A. Telepsychiatry and the Role of Artificial Intelligence in Mental Health in Post-COVID-19 India: A Scoping Review on Opportunities. Indian J Psychol Med 2020; 42:428-434. [PMID: 33414589 PMCID: PMC7750848 DOI: 10.1177/0253717620952160] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/01/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND COVID-19 has a profound impact on people with existing mental disorders, augmenting the prevailing inequalities in mental health. METHODS In order to understand the status of telepsychiatry in India and the role of artificial intelligence (AI) in mental health and its potential applications, a scoping review was done between March 2020 and May 2020. The literature review revealed 253 papers, which were used to derive the primary framework for analysis. The information was then reviewed for ideas and concepts, which were integrated with evidence from gray literature and categorized under broader themes based on the insights derived. Finally, a thematic framework was developed for discussion to tailor scientific information for decision-makers' needs. RESULTS Review findings are summarized under the following headings: changing patterns of health-seeking behavior, origin and evolution of telepsychiatry, possible applications of telepsychiatry and AI, technological features, and AI models in mental health. CONCLUSIONS Though there are several potential opportunities, the time is not yet ripe for telepsychiatry and AI to be adopted fully in the field of mental health care. But it is time that we develop indigenous proprietary technology and test and validate it. With many solutions offered by telepsychiatry and AI, psychiatrists must choose an appropriate tool based on their requirements, availability of resources, and feasibility of deployment. Harmony between conventional care and technology-based care must be reached gradually.
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Affiliation(s)
- Thenral M
- Shri Sathya Sai Medical College and
Research Institute, Kanchipuram, Tamil Nadu, India
| | - Arunkumar Annamalai
- National Institute of Epidemiology,
Indian Council of Medical Research, Chennai, Tamil Nadu, India
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Goldstein BI, Baune BT, Bond DJ, Chen P, Eyler L, Fagiolini A, Gomes F, Hajek T, Hatch J, McElroy SL, McIntyre RS, Prieto M, Sylvia LG, Tsai S, Kcomt A, Fiedorowicz JG. Call to action regarding the vascular-bipolar link: A report from the Vascular Task Force of the International Society for Bipolar Disorders. Bipolar Disord 2020; 22:440-460. [PMID: 32356562 PMCID: PMC7522687 DOI: 10.1111/bdi.12921] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVES The association of bipolar disorder with early and excessive cardiovascular disease was identified over a century ago. Nonetheless, the vascular-bipolar link remains underrecognized, particularly with regard to how this link can contribute to our understanding of pathogenesis and treatment. METHODS An international group of experts completed a selective review of the literature, distilling core themes, identifying limitations and gaps in the literature, and highlighting future directions to bridge these gaps. RESULTS The association between bipolar disorder and vascular disease is large in magnitude, consistent across studies, and independent of confounding variables where assessed. The vascular-bipolar link is multifactorial and is difficult to study given the latency between the onset of bipolar disorder, often in adolescence or early adulthood, and subsequent vascular disease, which usually occurs decades later. As a result, studies have often focused on risk factors for vascular disease or intermediate phenotypes, such as structural and functional vascular imaging measures. There is interest in identifying the most relevant mediators of this relationship, including lifestyle (eg, smoking, diet, exercise), medications, and systemic biological mediators (eg, inflammation). Nonetheless, there is a paucity of treatment studies that deliberately engage these mediators, and thus far no treatment studies have focused on engaging vascular imaging targets. CONCLUSIONS Further research focused on the vascular-bipolar link holds promise for gleaning insights regarding the underlying causes of bipolar disorder, identifying novel treatment approaches, and mitigating disparities in cardiovascular outcomes for people with bipolar disorder.
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Affiliation(s)
- Benjamin I. Goldstein
- Centre for Youth Bipolar DisorderSunnybrook Health Sciences CentreTorontoONCanada,Departments of Psychiatry & PharmacologyFaculty of MedicineUniversity of TorontoTorontoONCanada
| | - Bernhard T. Baune
- Department of Psychiatry and PsychotherapyUniversity of MünsterMünsterGermany,Department of PsychiatryMelbourne Medical SchoolThe University of MelbourneMelbourneVICAustralia,The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVICAustralia
| | - David J. Bond
- Department of Psychiatry and Behavioral ScienceUniversity of Minnesota Medical SchoolMinneapolisMNUSA
| | - Pao‐Huan Chen
- Department of PsychiatryTaipei Medical University HospitalTaipeiTaiwan,Department of PsychiatrySchool of MedicineCollege of MedicineTaipei Medical UniversityTaipeiTaiwan
| | - Lisa Eyler
- Department of PsychiatryUniversity of California San DiegoSan DiegoCAUSA
| | | | - Fabiano Gomes
- Department of PsychiatryQueen’s University School of MedicineKingstonONCanada
| | - Tomas Hajek
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada,National Institute of Mental HealthKlecanyCzech Republic
| | - Jessica Hatch
- Centre for Youth Bipolar DisorderSunnybrook Health Sciences CentreTorontoONCanada,Departments of Psychiatry & PharmacologyFaculty of MedicineUniversity of TorontoTorontoONCanada
| | - Susan L. McElroy
- Department of Psychiatry and Behavioral NeuroscienceUniversity of Cincinnati College of MedicineCincinnatiOHUSA,Lindner Center of HOPEMasonOHUSA
| | - Roger S. McIntyre
- Departments of Psychiatry & PharmacologyFaculty of MedicineUniversity of TorontoTorontoONCanada,Mood Disorders Psychopharmacology UnitUniversity Health NetworkTorontoONCanada
| | - Miguel Prieto
- Department of PsychiatryFaculty of MedicineUniversidad de los AndesSantiagoChile,Mental Health ServiceClínica Universidad de los AndesSantiagoChile,Department of Psychiatry and PsychologyMayo Clinic College of Medicine and ScienceRochesterMNUSA
| | - Louisa G. Sylvia
- Department of PsychiatryMassachusetts General HospitalBostonMAUSA,Department of PsychiatryHarvard Medical SchoolCambridgeMAUSA
| | - Shang‐Ying Tsai
- Department of PsychiatryTaipei Medical University HospitalTaipeiTaiwan,Department of PsychiatrySchool of MedicineCollege of MedicineTaipei Medical UniversityTaipeiTaiwan
| | - Andrew Kcomt
- Hope+Me—Mood Disorders Association of OntarioTorontoONCanada
| | - Jess G. Fiedorowicz
- Departments of Psychiatry, Internal Medicine, & EpidemiologyCarver College of MedicineUniversity of IowaIowa CityIAUSA
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Sahbaz C, Elbay A, Ozcelik M, Ozdemir H. Insomnia Might Influence the Thickness of Choroid, Retinal Nerve Fiber and Inner Plexiform Layer. Brain Sci 2020; 10:brainsci10030178. [PMID: 32204463 PMCID: PMC7139633 DOI: 10.3390/brainsci10030178] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 03/12/2020] [Accepted: 03/17/2020] [Indexed: 12/13/2022] Open
Abstract
Sleep may play a fundamental role in retinal regulation and the degree of retinal variables. However, no clinical study has investigated optical coherence tomography (OCT) parameters in patients with primary insomnia. All participants were evaluated with the insomnia severity index (ISI) and the Pittsburgh sleep quality index (PSQI). The retinal nerve fiber layer (RNFL), ganglion cell layer (GC), inner plexiform layer (IPL), macula and choroidal (CH) thickness were compared between 52 drug-naïve patients with primary insomnia and 45 age-gender-BMI-smoke status matched healthy controls (HC). The patients with primary insomnia differed from the HC regarding RNFL-Global (p = 0.024) and RNFL-Nasal inferior (p = 0.010); IPL-Temporal (p < 0.001), IPL-Nasal (p < 0.001); CH-Global (p < 0.001), CH-Temporal (p = 0.004), CH-Nasal (p < 0.001), and CH-Fovea (p = 0.019). ISI correlated with RNFL-Global and RNFL-Nasal inferior. The regression analysis revealed that ISI was the significant predictor for the thickness of RNFL- Nasal inferior (p = 0.020), RNFL-Global (p = 0.031), and CH-Nasal (p = 0.035) in patients with primary insomnia. Sleep disorders are seen commonly in patients with psychiatric, including ocular diseases. Adjusting the effect of insomnia can help to clarify the consistency in findings of OCT.
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Affiliation(s)
- Cigdem Sahbaz
- Department of Psychiatry, Faculty of Medicine, Bezmialem Vakıf University, Istanbul 34093, Turkey
- Correspondence:
| | - Ahmet Elbay
- Department of Ophthalmology, Bezmialem Vakıf University, Istanbul 34093, Turkey; (A.E.); (H.O.)
| | - Mine Ozcelik
- School of Medicine, Bezmialem Vakıf University, Istanbul 34093, Turkey;
| | - Hakan Ozdemir
- Department of Ophthalmology, Bezmialem Vakıf University, Istanbul 34093, Turkey; (A.E.); (H.O.)
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Commentary: Can retinal imaging biomarkers inform psychosis pathophysiology? Schizophr Res 2020; 215:3-5. [PMID: 31668491 DOI: 10.1016/j.schres.2019.10.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 09/30/2019] [Accepted: 10/01/2019] [Indexed: 11/21/2022]
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