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Shao S, Zou Y, Kennedy KG, Dimick MK, Andreazza AC, Young LT, Goncalves VF, MacIntosh BJ, Goldstein BI. Pilot study of circulating cell-free mitochondrial DNA in relation to brain structure in youth bipolar disorder. Int J Bipolar Disord 2024; 12:21. [PMID: 38874862 PMCID: PMC11178693 DOI: 10.1186/s40345-024-00334-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/08/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Mitochondrial dysfunction is implicated in the neuropathology of bipolar disorder (BD). Higher circulating cell-free mitochondrial DNA (ccf-mtDNA), generally reflecting poorer mitochondrial health, has been associated with greater symptoms severity in BD. The current study examines the association of serum ccf-mtDNA and brain structure in relation to youth BD. We hypothesized that higher ccf-mtDNA will be associated with measures of lower brain structure, particularly in the BD group. METHODS Participants included 40 youth (BD, n = 19; Control group [CG], n = 21; aged 13-20 years). Serum ccf-mtDNA levels were assayed. T1-weighted brain images were acquired using 3T-MRI. Region of interest (ROI) analyses examined prefrontal cortex (PFC) and whole brain gray matter, alongside exploratory vertex-wise analyses. Analyses examined ccf-mtDNA main-effects and ccf-mtDNA-by-diagnosis interaction effects controlling for age, sex, and intracranial volume. RESULTS There was no significant difference in ccf-mtDNA levels between BD and CG. In ROI analyses, higher ccf-mtDNA was associated with higher PFC surface area (SA) (β = 0.32 p < 0.001) and PFC volume (β = 0.32 p = 0.002) in the overall sample. In stratified analyses, higher ccf-mtDNA was associated with higher PFC SA within both subgroups (BD: β = 0.39 p = 0.02; CG: β = 0.24 p = 0.045). Higher ccf-mtDNA was associated with higher PFC volume within the BD group (β = 0.39 p = 0.046). In vertex-wise analyses, higher ccf-mtDNA was associated with higher SA and volume in frontal clusters within the overall sample and within the BD group. There were significant ccf-mtDNA-by-diagnosis interactions in three frontal and parietal clusters, whereby higher ccf-mtDNA was associated with higher neurostructural metrics in the BD group but lower neurostructural metrics in CG. CONCLUSIONS Contrasting our hypothesis, higher ccf-mtDNA was consistently associated with higher, rather than lower, regional neuralstructural metrics among youth with BD. While this finding may reflect a compensatory mechanism, future repeated-measures prospective studies evaluating the inter-relationship among ccf-mtDNA, mood, and brain structure across developmental epochs and illness stages are warranted.
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Affiliation(s)
- Suyi Shao
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Pharmacology & Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
| | - Yi Zou
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Mikaela K Dimick
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Ana C Andreazza
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - L Trevor Young
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Vanessa F Goncalves
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Pharmacology & Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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2
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Patterson RA, Brooks H, Mirjalili M, Rashidi-Ranjbar N, Zomorrodi R, Blumberger DM, Fischer CE, Flint AJ, Graff-Guerrero A, Herrmann N, Kennedy JL, Kumar S, Lanctôt KL, Mah L, Mulsant BH, Pollock BG, Voineskos AN, Wang W, Rajji TK. Neurophysiological and other features of working memory in older adults at risk for dementia. Cogn Neurodyn 2024; 18:795-811. [PMID: 38826646 PMCID: PMC11143125 DOI: 10.1007/s11571-023-09938-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 03/06/2023] Open
Abstract
Theta-gamma coupling (TGC) is a neurophysiological process that supports working memory. Working memory is associated with other clinical and biological features. The extent to which TGC is associated with these other features and whether it contributes to working memory beyond these features is unknown. Two-hundred-and-three older participants at risk for Alzheimer's dementia-98 with mild cognitive impairment (MCI), 39 with major depressive disorder (MDD) in remission, and 66 with MCI and MDD (MCI + MDD)-completed a clinical assessment, N-back-EEG, and brain MRI. Among them, 190 completed genetic testing, and 121 completed [11C] Pittsburgh Compound B ([11C] PIB) PET imaging. Hierarchical linear regressions were used to assess whether TGC is associated with demographic and clinical variables; Alzheimer's disease-related features (APOE ε4 carrier status and β-amyloid load); and structural features related to working memory. Then, linear regressions were used to assess whether TGC is associated with 2-back performance after accounting for these features. Other than age, TGC was not associated with any non-neurophysiological features. In contrast, TGC (β = 0.27; p = 0.006), age (β = - 0.29; p = 0.012), and parietal cortical thickness (β = 0.24; p = 0.020) were associated with 2-back performance. We also examined two other EEG features that are linked to working memory-theta event-related synchronization and alpha event-related desynchronization-and found them not to be associated with any feature or performance after accounting for TGC. Our findings suggest that TGC is a process that is independent of other clinical, genetic, neurochemical, and structural variables, and supports working memory in older adults at risk for dementia. Supplementary Information The online version contains supplementary material available at 10.1007/s11571-023-09938-y.
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Affiliation(s)
| | - Heather Brooks
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Mina Mirjalili
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | | | - Reza Zomorrodi
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Daniel M. Blumberger
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON M6J 1H1 Canada
| | - Corinne E. Fischer
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B, 1T8 Canada
| | - Alastair J. Flint
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- University Health Network, Toronto, ON M5G 1L7 Canada
| | - Ariel Graff-Guerrero
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Nathan Herrmann
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Sunnybrook Health Sciences Centre, ON M4N 3M5 Toronto, Canada
| | - James L. Kennedy
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Sanjeev Kumar
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
| | - Krista L. Lanctôt
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Sunnybrook Health Sciences Centre, ON M4N 3M5 Toronto, Canada
| | - Linda Mah
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Rotman Research Institute, Baycrest, Toronto, ON M6A 2E1 Canada
| | - Benoit H. Mulsant
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON M6J 1H1 Canada
| | - Bruce G. Pollock
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
| | - Aristotle N. Voineskos
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Wei Wang
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Tarek K. Rajji
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
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Hsueh YZ, Huang CY, Kuo PH, Cheng YC, Huang MC, Chiu CC, Kuo CJ, Chen PY, Chen WY. Cluster analysis exploring the impact of childhood neglect on cognitive function in patients with bipolar disorder. Int J Bipolar Disord 2024; 12:13. [PMID: 38676782 PMCID: PMC11055839 DOI: 10.1186/s40345-024-00335-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/15/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a severe mental disorder related to neurocognitive deficits. Exposure to childhood trauma is associated with worse cognitive performance. Different compositions of childhood trauma in BD and their impacts on cognition are rarely reported. METHODS We used the Brief Assessment of Cognition in Affective Disorders (BAC-A) to assess cognitive performance and the Chinese version of the Short Form of the Childhood Trauma Questionnaire (C-CTQ-SF) to assess childhood trauma experience among 55 euthymic BD patients. Cluster analysis was applied to dissect their childhood trauma experiences, which revealed three distinct clusters: a low trauma group, neglect-focus group, and multiple-trauma-experience group. We compared the cognitive function between the three clusters and used a generalized linear model to evaluate the impact of childhood neglect on cognitive domains. RESULTS The neglect-focus cluster showed prominent exposures to physical and emotional neglect (41.8%). BD patients in this cluster performed worse in BAC-A compared with patients in the multiple trauma cluster, especially in working memory and processing speed. The neglect-focus group revealed a significant negative effect on the composite score (ß = -0.904, p = 0.025) and working memory (ß = -1.150, p = 0.002) after adjusting sex, age, education year, BMI and total psychotropic defined daily dose. CONCLUSIONS Distinct patterns of childhood trauma experience are seen in BD patients and are related with different cognitive profiles. Early exposure of neglect-focus trauma was associated with the worst cognitive performance in current study. Further studies investigating the intensity of the neglect, as well as individual resilience and coping mechanisms in BD, are warranted.
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Affiliation(s)
- Yuan-Zhi Hsueh
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Songde branch, Taipei, Taiwan
| | - Cho-Yin Huang
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Songde branch, Taipei, Taiwan
- Institute of Health Behaviors and Community Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Po-Hsiu Kuo
- Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Ying-Chih Cheng
- Institute of Health Behaviors and Community Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, China Medical University Hsinchu Hospital, China Medical University, Hsinchu, Taiwan
| | - Ming-Chyi Huang
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Songde branch, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chih Chiang Chiu
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Songde branch, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chian-Jue Kuo
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Songde branch, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Po-Yu Chen
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Songde branch, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Wen-Yin Chen
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Songde branch, Taipei, Taiwan.
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan.
- Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
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Wu C, Wu H, Zhou C, Guo T, Guan X, Cao Z, Wu J, Liu X, Chen J, Wen J, Qin J, Tan S, Duanmu X, Gu L, Song Z, Zhang B, Huang P, Xu X, Zhang M. The effect of dopamine replacement therapy on cortical structure in Parkinson's disease. CNS Neurosci Ther 2024; 30:e14540. [PMID: 37994682 PMCID: PMC11017430 DOI: 10.1111/cns.14540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 10/24/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
AIMS To explore the cortical structural reorganization in Parkinson's disease (PD) patients under chronic dopamine replacement therapy (DRT) in cross-sectional and longitudinal data and determine whether these changes were associated with clinical alterations. METHODS A total of 61 DRT-treated, 60 untreated PD patients, and 61 normal controls (NC) were retrospectively included. Structural MRI scans and neuropsychological tests were conducted. Cortical thickness and volume were extracted based on FreeSurfer and were analyzed using general linear model to find statistically significant differences among three groups. Correlation analyses were performed among significant cortical areas, medication treatment (duration and dosage), and neuropsychological tests. Longitudinal cortical structural changes of patients who initiated DRT were analyzed using linear mixed-effect model. RESULTS Significant cortical atrophy was primarily observed in the prefrontal cortex in treated patients, including the cortical thickness of right pars opercularis and the volume of bilateral superior frontal cortex (SFC), left rostral anterior cingulate cortex (rACC), right lateral orbital frontal cortex, right pars orbitalis, and right rostral middle frontal cortex. A negative correlation was detected between the left SFC volume and levodopa equivalent dose (LED) (r = -0.316, p = 0.016), as well as the left rACC volume and medication duration (r = -0.329, p = 0.013). In the patient group, the left SFC volume was positively associated with digit span forward score (r = 0.335, p = 0.017). The left SFC volume reduction was longitudinally correlated with increased LED (standardized coefficient = -0.077, p = 0.001). CONCLUSION This finding provided insights into the influence of DRT on cortical structure and highlighted the importance of drug dose titration in DRT.
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Affiliation(s)
- Chenqing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haoting Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cheng Zhou
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tao Guo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhengye Cao
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingwen Chen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaqi Wen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianmei Qin
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Sijia Tan
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojie Duanmu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Luyan Gu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhe Song
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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5
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Ekin M, Koçoğlu K, Eraslan Boz H, Akkoyun M, Tüfekci IY, Cesim E, Yalınçetin B, Özbek SU, Bora E, Akdal G. Antisaccade and memory-guided saccade in individuals at ultra-high-risk for bipolar disorder. J Affect Disord 2023; 339:965-972. [PMID: 37499914 DOI: 10.1016/j.jad.2023.07.109] [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: 02/22/2023] [Revised: 07/21/2023] [Accepted: 07/23/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Ultra-high-risk for bipolar disorder (UHR-BD) is an important paradigm to investigate the potential early-stage biomarkers of bipolar disorder, including eye-tracking abnormalities and cognitive functions. Antisaccade (AS) described as looking in the opposite direction of the target, and memory-guided saccade (MGS), identified as maintaining fixation, and remembering the location of the target, were used in this study. The aim of this study was to evaluate the differences in saccadic eye movements between UHR-BD and healthy controls (HCs) via AS-MGS. METHODS The study included 28 UHR-BD and 29 HCs. Participants were selected using a structured clinical interview for prodromal symptoms of BD. AS-MGS were measured with parameters like uncorrected errors, anticipatory saccades, and latency. Eye movements were recorded with the EyeLink 1000-Plus eye-tracker. RESULTS In the AS, the number of correct saccades was significantly decreased in UHR-BD (p = 0.020). Anticipatory (p = 0.009) and express saccades (p = 0.040) were increased in UHR-BD. In the MGS paradigm, the correct saccades were reduced in UHR-BD (p = 0.031). In addition, anticipatory (p = 0.004) and express saccades (p = 0.012) were significantly increased in cue-screen in UHR-BD. CONCLUSIONS To our knowledge, this is the first study to evaluate cognitive functions with eye movements in individuals at UHR-BD. The current findings showed that eye movement functions, particularly in saccadic parameters related to inhibition and spatial perception, may be affected in the UHR-BD group. Therefore, assessment of oculomotor functions may provide observation of clinical and cognitive functions in the early-stage of bipolar disorder. However, further research is needed because the potential effects of medication may affect saccadic results.
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Affiliation(s)
- Merve Ekin
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye; Institute of Psychology, SWPS University, Warsaw, Poland.
| | - Koray Koçoğlu
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye
| | - Hatice Eraslan Boz
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye
| | - Müge Akkoyun
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye
| | - Işıl Yağmur Tüfekci
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye
| | - Ezgi Cesim
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye
| | - Berna Yalınçetin
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye
| | - Simge Uzman Özbek
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylül University, Izmir, Türkiye
| | - Emre Bora
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye; Department of Psychiatry, Faculty of Medicine, Dokuz Eylül University, Izmir, Türkiye; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Australia
| | - Gülden Akdal
- Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, İzmir, Türkiye; Department of Neurology, Faculty of Medicine, Dokuz Eylül University, Izmir, Türkiye
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6
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Holmes SE, Asch RH, Davis MT, DellaGioia N, Pashankar N, Gallezot JD, Nabulsi N, Matuskey D, Sanacora G, Carson RE, Blumberg HP, Esterlis I. Differences in Quantification of the Metabotropic Glutamate Receptor 5 Across Bipolar Disorder and Major Depressive Disorder. Biol Psychiatry 2023; 93:1099-1107. [PMID: 36764853 PMCID: PMC10164841 DOI: 10.1016/j.biopsych.2022.10.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/06/2022] [Accepted: 10/30/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Understanding the neurobiology underlying bipolar disorder (BD) versus major depressive disorder (MDD) is crucial for accurate diagnosis and for driving the discovery of novel treatments. A promising target is the metabotropic glutamate receptor 5 (mGluR5), a modulator of glutamate transmission associated with synaptic plasticity. We measured mGluR5 availability in individuals with MDD and BD for the first time using positron emission tomography. METHODS Individuals with BD (n = 17 depressed; n = 10 euthymic) or MDD (n = 17) and healthy control (HC) individuals (n = 18) underwent imaging with [18F]FPEB positron emission tomography to quantify mGluR5 availability in regions of the prefrontal cortex, which was compared across groups and assessed in relation to depressive symptoms and cognitive function. RESULTS Prefrontal cortex mGluR5 availability was significantly different across groups (F6,116 = 2.18, p = .050). Specifically, mGluR5 was lower in BD versus MDD and HC groups, with no difference between MDD and HC groups. Furthermore, after dividing the BD group, mGluR5 was lower in both BD-depression and BD-euthymia groups versus both MDD and HC groups across regions of interest. Interestingly, lower dorsolateral prefrontal cortex mGluR5 was associated with worse depression in MDD (r = -0.67, p = .005) but not in BD. Significant negative correlations were observed between mGluR5 and working memory in MDD and BD-depression groups. CONCLUSIONS This work suggests that mGluR5 could be helpful in distinguishing BD and MDD as a possible treatment target for depressive symptoms in MDD and for cognitive alterations in both disorders. Further work is needed to confirm differentiating roles for mGluR5 in BD and MDD and to probe modulation of mGluR5 as a preventive/treatment strategy.
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Affiliation(s)
- Sophie E Holmes
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Ruth H Asch
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Margaret T Davis
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Department of Psychology, Yale University, New Haven, Connecticut
| | - Nicole DellaGioia
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Neha Pashankar
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Jean-Dominique Gallezot
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Nabeel Nabulsi
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - David Matuskey
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Gerard Sanacora
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Richard E Carson
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Irina Esterlis
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut; Clinical Neurosciences Division, U.S. Department of Veteran Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, Connecticut.
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7
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Teng X, Guo C, Lei X, Yang F, Wu Z, Yu L, Ren J, Zhang C. Comparison of brain network between schizophrenia and bipolar disorder: A multimodal MRI analysis of comparative studies. J Affect Disord 2023; 327:197-206. [PMID: 36736789 DOI: 10.1016/j.jad.2023.01.116] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/20/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVE Cognitive impairment is a shared symptom of Schizophrenia (SCZ) and bipolar disorder (BP), but the underlying neural mechanisms for both remain unclear. We aimed to identify abnormalities in the structural and functional brain network of patients with SCZ and BP. METHODS The study included 69 patients with SCZ, 40 with BP, and 63 healthy controls (HC). After neurocognitive function assessment, resting-state functional magnetic resonance imaging and diffusion tensor imaging were acquired respectively. We compared the network of structural connectivity (SC) and functional connectivity (FC) among the three groups and performed graph theoretical analyses. The SC-FC coupling was calculated, and the correlations between the cognitive function scores and network properties were ascertained. RESULTS The BP group showed significantly higher indicators in subnetworks and graph theory analysis than SCZ and HC. Several brain regions, such as the inferior parietal lobe, exhibited differences among all pairwise comparisons and showed significant correlations with cognitive scores in both SCZ and BP. SC-FC coupling did not significantly differ between the three groups but showed close associations with clinical performance. Interestingly, the direction of correlations between the network properties and cognition tends to present the opposite between SCZ and BP, especially regarding the working memory, attention, and language sections. CONCLUSIONS The FC and SC network of the SCZ group appeared more inefficient and disconnected than BP. The network demonstrated to be closely but differently associated with cognitive function at both local and global levels, indicating the potentially separated pathologies of cognition deficits in SCZ and BP.
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Affiliation(s)
- Xinyue Teng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaoyue Guo
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoxia Lei
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuyin Yang
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Zenan Wu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingfang Yu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juanjuan Ren
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Zhang ZF, Bo QJ, Li F, Zhao L, Gao P, Wang Y, Liu R, Chen XY, Wang CY, Zhou Y. Altered frequency-specific/universal amplitude characteristics of spontaneous brain oscillations in patients with bipolar disorder. Neuroimage Clin 2022; 36:103207. [PMID: 36162237 PMCID: PMC9668601 DOI: 10.1016/j.nicl.2022.103207] [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: 07/03/2022] [Revised: 09/12/2022] [Accepted: 09/19/2022] [Indexed: 12/14/2022]
Abstract
The human brain is a dynamic system with intrinsic oscillations in spontaneous neural activity. Whether the dynamic characteristics of these spontaneous oscillations are differentially altered across different frequency bands in patients with bipolar disorder (BD) remains unclear. This study recruited 65 patients with BD and 85 healthy controls (HCs). The entire frequency range of resting-state fMRI data was decomposed into four frequency intervals. Two-way repeated-measures ANCOVA was employed to detect frequency-specific/universal alterations in the dynamic oscillation amplitude in BD. The patients were then divided into two subgroups according to their mood states to explore whether these alterations were independent of their mood states. Finally, other window sizes, step sizes, and window types were tested to replicate all analyses. Frequency-specific abnormality of the dynamic oscillation amplitude was detected within the posterior medial parietal cortex (centered at the precuneus extending to the posterior cingulate cortex). This specific profile indicates decreased amplitudes in the lower frequency bands (slow-5/4) and no amplitude changes in the higher frequency bands (slow-3/2) compared with HCs. Frequency-universal abnormalities of the dynamic oscillation amplitude were also detectable, indicating increased amplitudes in the thalamus and left cerebellum anterior lobe but decreased amplitudes in the medial superior frontal gyrus. These alterations were independent of the patients' mood states and replicable across multiple analytic and parametric settings. In short, frequency-specific/universal amplitude characteristics of spontaneous oscillations were observed in patients with BD. These abnormal characteristics have important implications for specific functional changes in BD from multiple frequency and dynamic perspectives.
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Affiliation(s)
- Zhi-Fang Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Qi-Jing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China,Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Feng Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China,Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Lei Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China,Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Peng Gao
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Yun Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Rui Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xiong-Ying Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Chuan-Yue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China,Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China,Corresponding authors at: The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, China (C.-Y. Wang). CAS Key Laboratory of Behavioral Science, Institute of Psychology, No. 16 Lincui Road, Chaoyang District, Beijing, PR China (Y. Zhou).
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China,CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China,Corresponding authors at: The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, China (C.-Y. Wang). CAS Key Laboratory of Behavioral Science, Institute of Psychology, No. 16 Lincui Road, Chaoyang District, Beijing, PR China (Y. Zhou).
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Karantonis JA, Carruthers SP, Rossell SL, Pantelis C, Hughes M, Wannan C, Cropley V, Van Rheenen TE. A Systematic Review of Cognition-Brain Morphology Relationships on the Schizophrenia-Bipolar Disorder Spectrum. Schizophr Bull 2021; 47:1557-1600. [PMID: 34097043 PMCID: PMC8530395 DOI: 10.1093/schbul/sbab054] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The nature of the relationship between cognition and brain morphology in schizophrenia-spectrum disorders (SSD) and bipolar disorder (BD) is uncertain. This review aimed to address this, by providing a comprehensive systematic investigation of links between several cognitive domains and brain volume, cortical thickness, and cortical surface area in SSD and BD patients across early and established illness stages. An initial search of PubMed and Scopus databases resulted in 1486 articles, of which 124 met inclusion criteria and were reviewed in detail. The majority of studies focused on SSD, while those of BD were scarce. Replicated evidence for specific regions associated with indices of cognition was minimal, however for several cognitive domains, the frontal and temporal regions were broadly implicated across both recent-onset and established SSD, and to a lesser extent BD. Collectively, the findings of this review emphasize the significance of both frontal and temporal regions for some domains of cognition in SSD, while highlighting the need for future BD-related studies on this topic.
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Affiliation(s)
- James A Karantonis
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Sean P Carruthers
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Susan L Rossell
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
- St Vincent’s Mental Health, St Vincent’s Hospital, Melbourne, Australia
| | - Christos Pantelis
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Australia
- Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Australia
| | - Matthew Hughes
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Cassandra Wannan
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Vanessa Cropley
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Tamsyn E Van Rheenen
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
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