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Meng J, Cai Y, Yao J, Yan H. Bidirectional causal relationship between psychiatric disorders and osteoarthritis: A univariate and multivariate Mendelian randomization study. Brain Behav 2024; 14:e3429. [PMID: 38361326 PMCID: PMC10869882 DOI: 10.1002/brb3.3429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/11/2023] [Accepted: 01/27/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Observational studies have shown associations between psychiatric disorders and osteoarthritis (OA). However, the causal impact of different psychiatric disorder types on specific sites of osteoarthritis remains unclear. This study aimed to comprehensively understand the potential causal associations between psychiatric disorders and osteoarthritis using Mendelian randomization (MR) analysis. METHODS We collected data from genome-wide association studies of knee osteoarthritis (KOA) (n = 403,124), hip osteoarthritis (HOA) (n = 393,873), osteoarthritis of the knee or hip (KHOA) (n = 417,596), as well as three psychiatric disorders: bipolar disorder (n = 41,917), major depressive disorder (n = 170,756), and schizophrenia (n = 76,755) among European populations. We applied bidirectional univariate and multivariate MR analyses, including inverse variance weighted, Mendelian randomization-Egger, weighted median, simple mode, and weighted mode. We considered p < .05 as a criterion for identifying potential evidence of association. Bonferroni correction was used for multiple tests. RESULTS Our univariate MR analysis results demonstrated that bipolar disorder is a protective factor for KOA (OR = 0.90, 95% CI = 0.83 to 0.97, p = 0.0048) and may also be protective for KHOA (p = 0.02). Conversely, major depression has a positive causal effect on both KOA (OR = 1.27; 95% CI = 1.08 to 1.49; p = 0.0036) and KHOA (OR = 1.24; 95% CI = 1.12 to 1.37; p = 3.62×10-05 ). Furthermore, our analysis suggested that KHOA may be a risk factor for major depression (OR = 1.06; 95% CI = 1.00 to 1.12; p = 0.0469) in reverse MR. After adjusting smoking (OR = 1.46; 95% CI = 1.19 to 1.65; p = 0.0032) and body mass index (OR = 1.44; 95% CI = 1.09 to 1.81; p = 8.56×10-04 ), the casual association between major depression and KHOA remained. CONCLUSION Our study indicates that major depression is a great risk factor for KHOA, increasing the likelihood of their occurrence. However, further in-depth studies will be required to validate these results and elucidate the underlying molecular mechanisms.
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Affiliation(s)
- Jinzhi Meng
- Bone and Joint SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Youran Cai
- Department of OphthalmologyThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Jun Yao
- Bone and Joint SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Haiwei Yan
- Department of Sports MedicineThe Fourth Affiliated Hospital of Guangxi Medical UniversityLiuzhouChina
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2
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Huang X, Zhuo Y, Wang X, Xu J, Yang Z, Zhou Y, Lv H, Ma X, Yan B, Zhao H, Yu H. Structural and functional improvement of amygdala sub-regions in postpartum depression after acupuncture. Front Hum Neurosci 2023; 17:1163746. [PMID: 37266323 PMCID: PMC10229903 DOI: 10.3389/fnhum.2023.1163746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/11/2023] [Indexed: 06/03/2023] Open
Abstract
Objective This study aimed to analyze the changes in structure and function in amygdala sub-regions in patients with postpartum depression (PPD) before and after acupuncture. Methods A total of 52 patients with PPD (All-PPD group) were included in this trial, 22 of which completed 8 weeks of acupuncture treatment (Acu-PPD group). An age-matched control group of 24 healthy postpartum women (HPW) from the hospital and community were also included. Results from the 17-Hamilton Depression Scale (17-HAMD) and the Edinburgh Postnatal Depression Scale (EPDS) were evaluated, and resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed at baseline and after the acupuncture treatment. Sub-regions of the amygdala were used as seed regions to measure gray matter volume (GMV) and analyzed for resting-state functional connectivity (RSFC) values separately. Finally, correlation analyses were performed on all patients with PPD to evaluate association values between the clinical scale scores, GMV, and RSFC values, while controlling for age and education. Pearson's correlation analyses were conducted to investigate the relevance between GMV and RSFC values of brain regions that differed before and after acupuncture treatment and clinical scale scores in Acu-PPD patients. Results The HAMD scores for Acu-PPD were reduced after acupuncture treatment (P < 0.05), suggesting the positive effects of acupuncture on depression symptoms. Structurally, the All-PPD group showed significantly decreased GMV in the left lateral part of the amygdala (lAMG.L) and the right lateral part of the amygdala (lAMG.R) compared to the HPW group (P < 0.05). In addition, the GMV of lAMG.R was marginally increased in the Acu-PPD group after acupuncture (P < 0.05). Functionally, the Acu-PPD group showed a significantly enhanced RSFC between the left medial part of the amygdala (mAMG.L) and the left vermis_6, an increased RSFC between the right medial part of the amygdala (mAMG.R) and left vermis_6, and an increased RSFC between the lAMG.R and left cerebelum_crus1 (P < 0.05). Moreover, correlation studies revealed that the GMV in the lAMG.R was significantly related to the EPDS scores in the All-PPD group (P < 0.05). Conclusion Our findings demonstrated that the structure of amygdala sub-regions is impaired in patients with PPD. Acupuncture may improve depressive symptoms in patients with PPD, and the mechanism may be attributed to changes in the amygdala sub-region structure and the functional connections of brain areas linked to the processing of negative emotions. The fMRI-based technique can provide comprehensive neuroimaging evidence to visualize the central mechanism of action of acupuncture in PPD.
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Affiliation(s)
- Xingxian Huang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Shenzhen Key Laboratory of Modern Applied Research on Acupuncture and Moxibustion, Shenzhen, China
| | - Yuanyuan Zhuo
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Shenzhen Key Laboratory of Modern Applied Research on Acupuncture and Moxibustion, Shenzhen, China
| | - Xinru Wang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Jinping Xu
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhuoxin Yang
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Shenzhen Key Laboratory of Modern Applied Research on Acupuncture and Moxibustion, Shenzhen, China
| | - Yumei Zhou
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Shenzhen Key Laboratory of Modern Applied Research on Acupuncture and Moxibustion, Shenzhen, China
| | - Hanqing Lv
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Xiaoming Ma
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Shenzhen Key Laboratory of Modern Applied Research on Acupuncture and Moxibustion, Shenzhen, China
| | - Bin Yan
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Shenzhen Key Laboratory of Modern Applied Research on Acupuncture and Moxibustion, Shenzhen, China
| | - Hong Zhao
- Luohu District of Hospital of Traditional Chinese Medicine, Shenzhen, China
| | - Haibo Yu
- Acupuncture Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Shenzhen Key Laboratory of Modern Applied Research on Acupuncture and Moxibustion, Shenzhen, China
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3
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Wang H, Xu J, Yu M, Zhou G, Ren J, Wang Y, Zheng H, Sun Y, Wu J, Liu W. Functional and structural alterations as diagnostic imaging markers for depression in de novo Parkinson's disease. Front Neurosci 2023; 17:1101623. [PMID: 36908791 PMCID: PMC9992430 DOI: 10.3389/fnins.2023.1101623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 02/08/2023] [Indexed: 02/24/2023] Open
Abstract
Background Depression in Parkinson's disease (PD) is identified and diagnosed with behavioral observations and neuropsychological measurements. Due to the large overlaps of depression and PD symptoms in clinical manifestations, it is challenging for neurologists to distinguish and diagnose depression in PD (DPD) in the early clinical stage of PD. The advancement in magnetic resonance imaging (MRI) technology provides potential clinical utility in the diagnosis of DPD. This study aimed to explore the alterations of functional and structural MRI in DPD to produce neuroimaging markers in discriminating DPD from non-depressed PD (NDPD) and healthy controls (HC). Methods We recruited 20 DPD, 37 NDPD, and 41 HC matched in age, gender, and education years. The patients' diagnosis with PD was de novo. The differences in regional homogeneity (ReHo), voxel-wise degree centrality (DC), cortical thickness, cortical gray matter (GM) volumes, and subcortical GM volumes among these groups were detected, and the relationship between altered indicators and depression was analyzed. Moreover, the receiver operating characteristic (ROC) analysis was performed to assess the diagnostic efficacy of altered indicators for DPD. Results Compared to NDPD and HC, DPD showed significantly increased ReHo in left dorsolateral superior frontal gyrus (DSFG) and DC in left inferior temporal gyrus (ITG), and decreased GM volumes in left temporal lobe and right Amygdala. Among these altered indicators, ReHo value in left DSFG and DC values in left ITG and left DSFG were significantly correlated with the severity of depression in PD patients. Comparing DPD and NDPD, the ROC analysis revealed a better area under the curve value for the combination of ReHo value in left DSFG and DC value in left ITG, followed by each independent indicator. However, the difference is not statistically significant. Conclusion This study demonstrates that both functional and structural impairments are present in DPD. Among them, ReHo value of left DSFG and DC value of left ITG are equally well suited for the diagnosis and differential diagnosis of DPD, with a combination of them being slightly preferable. The multimodal MRI technique represents a promising approach for the classification of subjects with PD.
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Affiliation(s)
- Hui Wang
- Department of Neurology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, China
| | - Jianxia Xu
- Department of Neurology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China
| | - Miao Yu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Gaiyan Zhou
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jingru Ren
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yajie Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Huifen Zheng
- Department of Neurology, Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Yu Sun
- International Laboratory of Children Medical Imaging Research, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Jun Wu
- Department of Clinical Laboratory, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Ranti DL, Warburton AJ, Rutland JW, Dullea JT, Markowitz M, Smith DA, Kligler SZK, Rutter S, Langan M, Arrighi-Allisan A, George I, Verma G, Murrough JW, Delman BN, Balchandani P, Morris LS. Perivascular spaces as a marker of psychological trauma in depression: A 7-Tesla MRI study. Brain Behav 2022; 12:e32598. [PMID: 35672958 PMCID: PMC9304831 DOI: 10.1002/brb3.2598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 03/15/2022] [Accepted: 03/31/2022] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Emerging evidence in depression suggests that blood-brain barrier (BBB) breakdown and elevated inflammatory cytokines in states of persistent stress or trauma may contribute to the development of symptoms. Signal-to-noise ratio afforded by ultra-high field MRI may aid in the detection of maladaptations of the glymphatic system related to BBB integrity that may not be visualized at lower field strengths. METHODS We investigated the link between glymphatic neuroanatomy via perivascular spaces (PVS) and trauma experience in patients with major depressive disorder (MDD) and in healthy controls using 7-Tesla MRI and a semi-automated segmentation algorithm. RESULTS After controlling for age and gender, the number of traumatic events was correlated with total PVS volume in MDD patients (r = 0.50, p = .028) and the overall population (r = 0.34, p = .024). The number of traumatic events eliciting horror was positively correlated with total PVS volume in MDD patients (r = 0.50, p = .030) and the overall population (r = 0.32, p = .023). Age correlated positively with PVS count, PVS total volume, and PVS density in all participants (r > 0.35, p < .01). CONCLUSIONS These results suggest a relationship between glymphatic dysfunction related to BBB integrity and psychological trauma, and that glymphatic impairment may play a role in trauma-related symptomatology.
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Affiliation(s)
- Daniel L Ranti
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew J Warburton
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John W Rutland
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan T Dullea
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew Markowitz
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Derek A Smith
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sophie Z Karwoska Kligler
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarah Rutter
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mackenzie Langan
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Annie Arrighi-Allisan
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ilena George
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Gaurav Verma
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James W Murrough
- Department of Psychiatry, Department of Neurology at the Mount Sinai Hospital, New York, NY, USA
| | - Bradley N Delman
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Priti Balchandani
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laurel S Morris
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Department of Neurology at the Mount Sinai Hospital, New York, NY, USA
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5
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Li M, Zhang Z, Wu X, Wang X, Liu X, Liang J, Chen G, Feng Y, Li M. Tractography of the Stria Terminalis in the Human Brain. Clin Anat 2022; 35:383-391. [PMID: 35102603 DOI: 10.1002/ca.23843] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/24/2022] [Accepted: 01/26/2022] [Indexed: 11/08/2022]
Abstract
The aim of this study was to investigate the trajectory of the stria terminalis and develop a protocol for mapping the stria terminalis using multi-shell diffusion images based tractography. The stria terminalis was reconstructed by combining one region of interest at the amygdala with another region of interest at the bed nucleus of stria terminalis. In addition, one region of avoidance was placed on the fornix at the interventricular foramen and another was set at the anterior perforated substance. The fiber-tracking protocol was tested in a Human Connectome Project-842 template, 35 healthy subjects from Massachusetts General Hospital, and 20 healthy subjects from the Human Connectome Project using generalized q-sampling imaging based tractography. The stria terminalis was reconstructed in the Human Connectome Project-842 template, 35 Massachusetts General Hospital healthy subjects, and 20 Human Connectome Project healthy subjects with our protocol. The stria terminalis originated from the amygdala and travelled parallel to the fornix. Then, the stria terminalis followed a C-shaped trajectory around the inferior, posterior, and dorsal surfaces of the thalamus before projecting to the bed nucleus of stria terminalis between the thalamus and caudate nucleus. There were no significant differences in the quantitative anisotropy and fractional anisotropy values between the left and right stria terminalis. The stria terminalis was accurately visualized across subjects using multi-shell diffusion images through generalized q-sampling imaging based tractography. This method could be an important tool for the reconstruction and evaluation of the stria terminalis in various neurological disorders. One Sentence Summary The visualizetion of the stria terminalis through the multi-shell diffusion images using generalized q-sampling imaging based tractography.
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Affiliation(s)
- Mengjun Li
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
| | - Zhiping Zhang
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
| | - Xiaolong Wu
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
| | - Xu Wang
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
| | - Xiaohai Liu
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
| | - Jiantao Liang
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
| | - Ge Chen
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
| | - Yuanjing Feng
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
| | - Mingchu Li
- Department of Neurosurgery, Samii Clinical Neuroanatomy Research & Education Center, Capital Medical University Xuanwu Hospital, China International Neuroscience Institute (China-INI), Beijing, China
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Barowsky S, Jung JY, Nesbit N, Silberstein M, Fava M, Loggia ML, Smoller JW, Lee PH. Cross-Disorder Genomics Data Analysis Elucidates a Shared Genetic Basis Between Major Depression and Osteoarthritis Pain. Front Genet 2021; 12:687687. [PMID: 34603368 PMCID: PMC8481820 DOI: 10.3389/fgene.2021.687687] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/23/2021] [Indexed: 11/24/2022] Open
Abstract
Osteoarthritis (OA) and major depression (MD) are two debilitating disorders that frequently co-occur and affect millions of the elderly each year. Despite the greater symptom severity, poorer clinical outcomes, and increased mortality of the comorbid conditions, we have a limited understanding of their etiologic relationships. In this study, we conducted the first cross-disorder investigations of OA and MD, using genome-wide association data representing over 247K cases and 475K controls. Along with significant positive genome-wide genetic correlations (r g = 0.299 ± 0.026, p = 9.10 × 10-31), Mendelian randomization (MR) analysis identified a bidirectional causal effect between OA and MD (βOA → MD = 0.09, SE = 0.02, z-score p-value < 1.02 × 10-5; βMD → OA = 0.19, SE = 0.026, p < 2.67 × 10-13), indicating genetic variants affecting OA risk are, in part, shared with those influencing MD risk. Cross-disorder meta-analysis of OA and MD identified 56 genomic risk loci (P meta ≤ 5 × 10-8), which show heightened expression of the associated genes in the brain and pituitary. Gene-set enrichment analysis highlighted "mechanosensory behavior" genes (GO:0007638; P gene_set = 2.45 × 10-8) as potential biological mechanisms that simultaneously increase susceptibility to these mental and physical health conditions. Taken together, these findings show that OA and MD share common genetic risk mechanisms, one of which centers on the neural response to the sensation of mechanical stimulus. Further investigation is warranted to elaborate the etiologic mechanisms of the pleiotropic risk genes, as well as to develop early intervention and integrative clinical care of these serious conditions that disproportionally affect the aging population.
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Affiliation(s)
- Sophie Barowsky
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Jae-Yoon Jung
- Department of Pediatrics, Stanford University, Stanford, CA, United States
| | - Nicholas Nesbit
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Micah Silberstein
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Depression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Marco L. Loggia
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Phil H. Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
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Cui D, Guo Y, Cao W, Gao W, Qiu J, Su L, Jiao Q, Lu G. Correlation Between Decreased Amygdala Subnuclei Volumes and Impaired Cognitive Functions in Pediatric Bipolar Disorder. Front Psychiatry 2020; 11:612. [PMID: 32670120 PMCID: PMC7332860 DOI: 10.3389/fpsyt.2020.00612] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/12/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The amygdala has been proposed to be involved in the pathophysiology of pediatric and adult bipolar disorder (BD). The goal of this structural magnetic resonance imaging (sMRI) study was to investigate the morphometric characteristics of amygdala subnuclei in patients with pediatric bipolar disorder (PBD) compared to healthy controls (HCs). Simultaneously, we examined correlation between amygdala subnuclei volumes and cognitive dysfunction. MATERIALS AND METHODS We assessed 40 adolescent outpatients, diagnosed with manic or euthymic PBD according to the DSM-5 criteria for BD and 19 HCs. Cognitive functions were evaluated using a Stroop color-word test (SCWT), trail making test (TMT), visual reproduction immediate recall subtest (VR I), and digit span subtest (DST). Amygdala and its subnuclei structures were automated segmented using FreeSurfer software and the volumes of them were compared between groups and correlation with clinical and cognitive outcomes was conducted. RESULTS Manic patients exhibited significantly decreased volumes in the bilateral whole amygdala and its basal nucleus, cortico-amygdaloid transition (CAT), and accessory basal nucleus (ABN) compared with HCs. Euthymic patients had decreased volume in the bilateral ABN and left CAT. In addition, we found significant positive associations between VR I scores and the right whole amygdala and its bilateral basal, right lateral, and ABN volumes in the manic group. CONCLUSION These findings support previous reports of smaller amygdala volumes and cognitive dysfunctions in PBD, and further mapping abnormalities to specific amygdala subnuclei. Correlation between basolateral volume and VR I of PBD may expand our understanding of neural abnormalities that could be targeted by treatment.
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Affiliation(s)
- Dong Cui
- College of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian, China.,Collaborative Innovation Center of Magnetic Resonance Imaging of Brain Disease, Shandong First Medical University, Shandong Academy of MedicalSciences, Taian, China
| | - Yongxin Guo
- College of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian, China.,Collaborative Innovation Center of Magnetic Resonance Imaging of Brain Disease, Shandong First Medical University, Shandong Academy of MedicalSciences, Taian, China
| | - Weifang Cao
- College of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian, China.,Collaborative Innovation Center of Magnetic Resonance Imaging of Brain Disease, Shandong First Medical University, Shandong Academy of MedicalSciences, Taian, China
| | - Weijia Gao
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianfeng Qiu
- College of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian, China
| | - Linyan Su
- Mental Health Institute of The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qing Jiao
- College of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian, China.,Collaborative Innovation Center of Magnetic Resonance Imaging of Brain Disease, Shandong First Medical University, Shandong Academy of MedicalSciences, Taian, China
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
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