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Sheng Z, Liu Q, Song Y, Ye B, Li Y, Song Y, Liu J, Zhang B, Guo F, Xu Z, Du W, Li S, Liu Z. Astrocyte atrophy induced by L-PGDS/PGD2/Src signaling dysfunction in the central amygdala mediates postpartum depression. J Affect Disord 2024; 359:241-252. [PMID: 38768820 DOI: 10.1016/j.jad.2024.05.083] [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: 03/13/2024] [Revised: 05/14/2024] [Accepted: 05/17/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Postpartum depression (PPD) is a serious psychiatric disorder that has significantly adverse impacts on maternal health. Metabolic abnormalities in the brain are associated with numerous neurological disorders, yet the specific metabolic signaling pathways and brain regions involved in PPD remain unelucidated. METHODS We performed behavioral test in the virgin and postpartum mice. We used mass spectrometry imaging (MSI) and targeted metabolomics analyses to investigate the metabolic alternation in the brain of GABAAR Delta-subunit-deficient (Gabrd-/-) postpartum mice, a specific preclinical animal model of PPD. Next, we performed mechanism studies including qPCR, Western blot, immunofluorescence staining, electron microscopy and primary astrocyte culture. In the specific knockdown and rescue experiments, we injected the adeno-associated virus into the central amygdala (CeA) of female mice. RESULTS We identified that prostaglandin D2 (PGD2) downregulation in the CeA was the most outstanding alternation in PPD, and then validated that lipocalin-type prostaglandin D synthase (L-PGDS)/PGD2 downregulation plays a causal role in depressive behaviors derived from PPD in both wild-type and Gabrd-/- mice. Furthermore, we verified that L-PGDS/PGD2 signaling dysfunction-induced astrocytes atrophy is mediated by Src phosphorylation both in vitro and in vivo. LIMITATIONS L-PGDS/PGD2 signaling dysfunction may be only responsible for the depressive behavior rather than maternal behaviors in the PPD, and it remains to be seen whether this mechanism is applicable to all depression types. CONCLUSION Our study identified abnormalities in the L-PGDS/PGD2 signaling in the CeA, which inhibited Src phosphorylation and induced astrocyte atrophy, ultimately resulting in the development of PPD in mice.
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Affiliation(s)
- Zhihao Sheng
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China
| | - Qidong Liu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
| | - Yujie Song
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China
| | - Binglu Ye
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China; Department of Anesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200127, China
| | - Yujie Li
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China
| | - Yingcai Song
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China
| | - Jinqi Liu
- University of Rochester, Rochester, NY 14627, USA
| | - Bing Zhang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China
| | - Fei Guo
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China; Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Zhendong Xu
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China
| | - Weijia Du
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China.
| | - Siguang Li
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China; Stem Cell Translational Research Center, Tongji Hospital, Tongji University, School of Medicine, Shanghai 200065, China.
| | - Zhiqiang Liu
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Department of Anesthesiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 201204, China.
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Yaqoob H, Ju XD, Bibi M, Anwar S, Naz S. "A systematic review of risk factors of postpartum depression. Evidence from Asian culture ". Acta Psychol (Amst) 2024; 249:104436. [PMID: 39142256 DOI: 10.1016/j.actpsy.2024.104436] [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: 04/21/2024] [Revised: 07/08/2024] [Accepted: 07/25/2024] [Indexed: 08/16/2024] Open
Abstract
OBJECTIVES One of the largest health concerns, postpartum depression (PPD), has detrimental effects on new mothers, their child, and their family. Investigating under-researched risk factors for postpartum depression in Asian women is the goal of this review of the literature. METHODS The literature was searched using a number of electronic research databases. This review included studies that meet the following requirements: (a) they evaluated risk variables; (b) they were conducted in Asian countries using quantitative or qualitative methods; and (c) they were published in English in peer-reviewed journals between 2007 and 2023. A total of 90 studies from 14 different countries were reviewed, compiled, and synthesized. RESULTS In Asian countries, where rates ranged from 0.82 % to 93 %, South Korea and Japan had the lowest and highest rates of postpartum depression, respectively. The risk factors for postpartum depression were divided into five main categories: biological/physical (e.g., ABO blood group, oxytocin level), psychological (e.g., antenatal depression, body dissatisfaction, child care stress), obstetric/pediatric (e.g., loss of baby, abortions, pain), socio-demographic (e.g., low social support, poverty, loss of autonomy), and cultural (e.g., gender preference). CONCLUSION This phenomenon is prevalent in Asian cultures as it is in European Countries. The repercussions of untreated postpartum depression can lead to long-term psychological and developmental issues in children and strain the familial bonds essential for a nurturing environment. Moreover, understanding the specific risk factors faced by Asian women can pave the way for culturally sensitive interventions and support systems designed to address and mitigate these challenges effectively.
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Affiliation(s)
- Hina Yaqoob
- School of Psychology, Northeast Normal University, Changchun, Jilin, China.
| | - Xing-Da Ju
- School of Psychology, Northeast Normal University, Changchun, Jilin, China; Jilin Provincial Key Laboratory of Cognitive Neuroscience and Brain Development, China.
| | - Maryum Bibi
- School of Psychology, Northeast Normal University, Changchun, Jilin, China.
| | - Saeed Anwar
- School of Psychology, Northeast Normal University, Changchun, Jilin, China.
| | - Sumaira Naz
- School of Psychology, Northeast Normal University, Changchun, Jilin, China.
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Hare MM, Barber A, Shaffer SA, Deligiannidis KM. Bidirectional associations between perinatal allopregnanolone and depression severity with postpartum gray matter volume in adult women. Acta Psychiatr Scand 2024. [PMID: 38923502 DOI: 10.1111/acps.13723] [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: 08/22/2023] [Revised: 04/30/2024] [Accepted: 06/14/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Perinatal depression (PND) is a debilitating condition affecting maternal well-being and child development. Allopregnanolone (ALLO) is important to perinatal neuroplasticity, however its relationship with depression severity and postpartum structural brain volume is unknown. METHOD We examined perinatal temporal dynamics and bidirectional associations between ALLO and depression severity and the association between these variables and postpartum gray matter volume, using a random intercept cross-lagged panel model. RESULTS We identified a unidirectional predictive relationship between PND severity and ALLO concentration, suggesting greater depression severity early in the perinatal period may contribute to subsequent changes in ALLO concentration (β = 0.26, p = 0.009), while variations in ALLO levels during the perinatal period influences the development and severity of depressive symptoms later in the postpartum period (β = 0.38, p = 0.007). Antepartum depression severity (Visit 2, β = 0.35, p = 0.004), ALLO concentration (Visit 2, β = 0.37, p = 0.001), and postpartum depression severity (Visit 3, β = 0.39, p = 0.031), each predicted the right anterior cingulate volume. Antepartum ALLO concentration (Visit 2, β = 0.29, p = 0.001) predicted left suborbital sulcus volume. Antepartum depression severity (Visit 1, β = 0.39, p = 0.006 and Visit 2, β = 0.48, p < 0.001) predicted the right straight gyrus volume. Postpartum depression severity (Visit 3, β = 0.36, p = 0.001) predicted left middle-posterior cingulate volume. CONCLUSION These results provide the first evidence of bidirectional associations between perinatal ALLO and depression severity with postpartum gray matter volume.
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Affiliation(s)
- Megan M Hare
- Center for Children and Families, Department of Psychology, Florida International University, Miami, Florida, USA
| | - Anita Barber
- Department of Psychiatry, Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York, USA
- The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
| | - Scott A Shaffer
- The Mass Spectrometry Facility, UMass Chan Medical School, Shrewsbury, Massachusetts, USA
| | - Kristina M Deligiannidis
- Department of Psychiatry, Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York, USA
- The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA
- Departments of Psychiatry, Molecular Medicine and Obstetrics and Gynecology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA
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Oancea M, Strilciuc Ș, Borza DB, Ciortea R, Diculescu D, Mihu D. Neurobiological and Behavioral Underpinnings of Perinatal Mood and Anxiety Disorders (PMADs): A Selective Narrative Review. J Clin Med 2024; 13:2088. [PMID: 38610853 PMCID: PMC11012341 DOI: 10.3390/jcm13072088] [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: 02/17/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
Perinatal mood and anxiety disorders (PMADs) profoundly impact maternal and infant health, affecting women worldwide during pregnancy and postpartum. This review synthesizes current research on the neurobiological effects of PMADs, particularly their influence on brain structure, function, and corresponding cognitive, behavioral, and mental health outcomes in mothers. A literature search across PubMed, PsycINFO, and Google Scholar yielded studies utilizing neuroimaging (MRI, fMRI) and cognitive assessments to explore brain changes in PMADs. The key findings indicate significant neurobiological alterations in PMADs, such as glutamatergic dysfunction, neuronal damage, and altered neural connectivity, particularly in postpartum depression (PPD). Functional MRI studies reveal distinct patterns of brain function alteration, including amygdala non-responsivity in PPD, differing from traditional major depressive disorder (MDD). These neurobiological changes are connected with cognitive impairments and behavioral modifications, impacting maternal caregiving. Understanding these alterations is fundamental for developing effective treatments. The findings emphasize the importance of focusing on maternal mental health, advocating for early detection, and personalized treatment strategies to improve maternal and child outcomes.
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Affiliation(s)
- Mihaela Oancea
- Department of Obstetrics and Gynaecology, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania
| | - Ștefan Strilciuc
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania
- RoNeuro Institute for Neurological Research and Diagnostic, 400337 Cluj-Napoca, Romania
| | - Dan Boitor Borza
- Department of Obstetrics and Gynaecology, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania
| | - Răzvan Ciortea
- Department of Obstetrics and Gynaecology, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania
| | - Doru Diculescu
- Department of Obstetrics and Gynaecology, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania
| | - Dan Mihu
- Department of Obstetrics and Gynaecology, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania
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Chen C, Li B, Zhang S, Liu Z, Wang Y, Xu M, Ji Y, Wang S, Sun G, Liu K. Aberrant structural and functional alterations in postpartum depression: a combined voxel-based morphometry and resting-state functional connectivity study. Front Neurosci 2023; 17:1138561. [PMID: 37304034 PMCID: PMC10249609 DOI: 10.3389/fnins.2023.1138561] [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: 01/05/2023] [Accepted: 04/28/2023] [Indexed: 06/13/2023] Open
Abstract
Objectives Postpartum depression (PPD) is a severe postpartum psychiatric disorder with unclear pathogenesis. Previous neuroimaging studies have reported structural or functional alterations in areas associated with emotion regulation, cognitive disorder, and parenting behaviors of PPD. The primary goal of this investigation was to explore the presence of brain structural alterations and relevant functional changes in PPD patients. Methods A total of 28 patients and 30 matched healthy postnatal women (HPW) underwent both three-dimensional T1-weighted magnetic resonance imaging (MRI) and resting-state functional MRI. Structural analysis was performed by voxel-based morphometry (VBM), followed by resting-state functional analysis using a seed-based whole-brain functional connectivity (FC) approach with abnormal gray matter volume (GMV) regions as seed. Results Compared with HPW, the PPD patients showed increased GMV in the left dorsolateral prefrontal cortex (DLPFC.L), the right precentral gyrus (PrCG.R), and the orbitofrontal cortex (OFC). In the PPD group, the DLPFC.L showed increased FC with the right anterior cingulate and paracingulate gyri (ACG.R) and the right middle frontal gyrus (MFG.R); the FC between the PrCG.R and the right median cingulate and paracingulate gyri (DCG.R) exhibited enhanced; the OFC showed increased FC with MFG.R and the left inferior occipital gyrus (IOG.L). In PPD, GMV of DLPFC.L was positively correlated with EDPS scores (r = 0.409 p = 0.031), and FC of PrCG.R-DCG.R was positively correlated with EDPS scores (r = 0.483 p = 0.020). Conclusion Structural and functional damage of the DLPFC.L and OFC is associated with cognitive disorders and parenting behaviors in PPD, while structural abnormalities of the DLPFC.L and PrCG.R are involved in impaired executive function. The increased GMV of DLPFC.L may be a unique structural pathological mechanism of PPD related to the inability of PPD patients to withstand long-term parenting stress. These findings have important implications for understanding neural mechanisms in PPD.
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Affiliation(s)
| | - Bo Li
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
| | - Shufen Zhang
- Department of Obstetrics, Shandong Second Provincial General Hospital, Jinan, China
| | - Zhe Liu
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
| | - Yu Wang
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
| | - Minghe Xu
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
| | - Yuqing Ji
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
| | - Shuang Wang
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
| | - Gang Sun
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
| | - Kai Liu
- Department of Radiology, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong, China
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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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Xu J, Yu H, Lv H, Zhou Y, Huang X, Xu Y, Fan X, Luo W, Liu Y, Li X, Yang Z, Zhao H. Consistent functional abnormalities in patients with postpartum depression. Behav Brain Res 2023; 450:114467. [PMID: 37146719 DOI: 10.1016/j.bbr.2023.114467] [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: 03/07/2023] [Revised: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 05/07/2023]
Abstract
Postpartum depression (PPD) is a common public health concern. A wide range of functional abnormalities in various brain regions have been reported in fMRI studies on PPD, however, a consistent functional changing pattern is still lacking. Herein, we obtained functional Magnetic Resonance Imaging (fMRI) data from 52 patients with PPD and 24 healthy postpartum women (HPW). Functional indexes (low-frequency fluctuation, degree centrality, and regional homogeneity) were calculated and compared among these groups to explore the functional changing patterns of PPD. Then, correlation analyses were performed to investigate the relationship between changed functional indexes and clinical measurements in the PPD. Finally, support vector machine (SVM) was performed to test whether these abnormal features can be used to distinguish PPD from HPW. As a result, we identified significantly and consistently functional changing pattern characterizing by increased functional activity in the left inferior occipital gyrus and decreased functional activity right anterior cingulate cortex in the PPD as compared to HPW. These functional values in the right anterior cingulate cortex were significantly correlated with depression symptoms in the PPD, and can be used as features to distinguish PPD from HPW. In conclusion, our results suggested that the right anterior cingulate cortex could be served as a functional neuro-imaging biomarker for PPD, which might be used as a potential target for neuro-modulation.
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Affiliation(s)
- Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Haibo Yu
- Acupuncture and Moxibustion Department, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Hanqing Lv
- Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Yumei Zhou
- Acupuncture and Moxibustion Department, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Xingxian Huang
- Acupuncture and Moxibustion Department, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Yuqin Xu
- Acupuncture and Moxibustion Department, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Xinxin Fan
- Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wenshu Luo
- Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Yongfeng Liu
- Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Xinbei Li
- Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China
| | - Zhuoxin Yang
- Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China.
| | - Hong Zhao
- Acupuncture and moxibustion Department, Luohu District Hospital of Traditional Chinese Medicine, Shenzhen, China.
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Kyuragi Y, Oishi N, Yamasaki S, Hazama M, Miyata J, Shibata M, Fujiwara H, Fushimi Y, Murai T, Suwa T. Information flow and dynamic functional connectivity during electroconvulsive therapy in patients with depression. J Affect Disord 2023; 328:141-152. [PMID: 36801417 DOI: 10.1016/j.jad.2023.02.060] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/12/2023] [Accepted: 02/14/2023] [Indexed: 02/19/2023]
Abstract
BACKGROUND Electroconvulsive therapy is effectively used for treatment-resistant depression; however, its neural mechanism is largely unknown. Resting-state functional magnetic resonance imaging is promising for monitoring outcomes of electroconvulsive therapy for depression. This study aimed to explore the imaging correlates of the electroconvulsive therapy effects on depression using Granger causality analysis and dynamic functional connectivity analyses. METHODS We performed advanced analyses of resting-state functional magnetic resonance imaging data at the beginning and intermediate stages and end of the therapeutic course to identify neural markers that reflect or predict the therapeutic effects of electroconvulsive therapy on depression. RESULTS We demonstrated that information flow between the functional networks analyzed by Granger causality changes during electroconvulsive therapy, and this change was correlated with the therapeutic outcome. Information flow and the dwell time (an index reflecting the temporal stability of functional connectivity) before electroconvulsive therapy are correlated with depressive symptoms during and after treatment. LIMITATIONS First, the sample size was small. A larger group is needed to confirm our findings. Second, the influence of concomitant pharmacotherapy on our results was not fully addressed, although we expected it to be minimal because only minor changes in pharmacotherapy occurred during electroconvulsive therapy. Third, different scanners were used the groups, although the acquisition parameters were the same; a direct comparison between patient and healthy participant data was not possible. Thus, we presented the data of the healthy participants separately from that of the patients as a reference. CONCLUSIONS These results show the specific properties of functional brain connectivity.
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Affiliation(s)
- Yusuke Kyuragi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Naoya Oishi
- Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto 606-8397, Japan.
| | - Shimpei Yamasaki
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Masaaki Hazama
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Mami Shibata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Hironobu Fujiwara
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan; Artificial Intelligence Ethics and Society Team, RIKEN Center for Advanced Intelligence Project, Saitama 351-0198, Japan; The General Research Division, Research Center on Ethical, Legal and Social Issues, Osaka University, Osaka 565-0871, Japan
| | - Yasutaka Fushimi
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Taro Suwa
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
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Li Y, Chu T, Liu Y, Zhang H, Dong F, Gai Q, Shi Y, Ma H, Zhao F, Che K, Mao N, Xie H. Classification of major depression disorder via using minimum spanning tree of individual high-order morphological brain network. J Affect Disord 2023; 323:10-20. [PMID: 36403803 DOI: 10.1016/j.jad.2022.11.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 10/09/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is an overbroad and heterogeneous diagnosis with no reliable or quantifiable markers. We aim to combine machine-learning techniques with the individual minimum spanning tree of the morphological brain network (MST-MBN) to determine whether the network properties can provide neuroimaging biomarkers to identify patients with MDD. METHOD Eight morphometric features of each region of interest (ROI) were extracted from 3D T1 structural images of 106 patients with MDD and 97 healthy controls. Six feature distances of the eight morphometric features were calculated to generate a feature distance matrix, which was defined as low-order MBN. Further linear correlations of feature distances between ROIs were calculated on the basis of low-order MBN to generate individual high-order MBN. The Kruskal's algorithm was used to generate the MST to obtain the core framework of individual low-order and high-order MBN. The regional and global properties of the individual MSTs were defined as the feature. The support vector machine and back-propagation neural network was used to diagnose MDD and assess its severity, respectively. RESULT The low-order and high-order MST-MBN constructed by cityblock distance had the excellent classification performance. The high-order MST-MBN significantly improved almost 20 % diagnostic accuracy compared with the low-order MST-MBN, and had a maximum R2 value of 0.939 between the predictive and true Hamilton Depression Scale score. The different group-level connectivity strength mainly involves the central executive network and default mode network (no statistical significance after FDR correction). CONCLUSION We proposed an innovative individual high-order MST-MBN to capture the cortical high-order morphological correlation and make an excellent performance for individualized diagnosis and assessment of MDD.
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Affiliation(s)
- Yuna Li
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, PR China
| | - Tongpeng Chu
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Big data & Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, PR China
| | - Haicheng Zhang
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Big data & Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China
| | - Fanghui Dong
- School of Medical Imaging, Binzhou Medical University, Yantai, Shandong 264000, PR China
| | - Qun Gai
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China
| | - Yinghong Shi
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China
| | - Feng Zhao
- Compute Science and Technology, Shandong Technology and Business University Yantai, Shandong 264000, PR China
| | - Kaili Che
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China.
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Big data & Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China.
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China.
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10
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Horáková A, Němcová H, Mohr P, Sebela A. Structural, functional, and metabolic signatures of postpartum depression: A systematic review. Front Psychiatry 2022; 13:1044995. [PMID: 36465313 PMCID: PMC9709336 DOI: 10.3389/fpsyt.2022.1044995] [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: 09/15/2022] [Accepted: 10/31/2022] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Postpartum depression (PPD) is a serious condition with debilitating consequences for the mother, offspring, and the whole family. The scope of negative outcomes of PPD highlights the need to specify effective diagnostics and treatment which might differ from major depressive disorder (MDD). In order to improve our clinical care, we need to better understand the underlying neuropathological mechanisms of PPD. Therefore, we conducted a systematic review of published neuroimaging studies assessing functional, structural, and metabolic correlates of PPD. METHODS Relevant papers were identified using a search code for English-written studies in the PubMed, Scopus, and Web of Science databases published by March 2022. Included were studies with structural magnetic resonance imaging, functional magnetic resonance imaging, both resting-state and task-related, magnetic resonance spectroscopy, or positron emission tomography. The findings were analyzed to assess signatures in PPD-diagnosed women compared to healthy controls. The review protocol was registered in PROSPERO (CRD42022313794). RESULTS The total of 3,368 references were initially identified. After the removal of duplicates and non-applicable papers, the search yielded 74 full-text studies assessed for eligibility. Of them, 26 met the inclusion criteria and their findings were analyzed and synthesized. The results showed consistent functional, structural, and metabolic changes in the default mode network and the salient network in women with PPD. During emotion-related tasks, PPD was associated with changes in the corticolimbic system activity, especially the amygdala. DISCUSSION This review offers a comprehensive summary of neuroimaging signatures in PPD-diagnosed women. It indicates the brain regions and networks which show functional, structural, and metabolic changes. Our findings offer better understanding of the nature of PPD, which clearly copies some features of MDD, while differs in others.
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Affiliation(s)
- Anna Horáková
- Center of Perinatal Mental Health, National Institute of Mental Health, Klecany, Czechia.,Department of Psychology, Faculty of Arts, Charles University, Prague, Czechia
| | - Hana Němcová
- Center of Perinatal Mental Health, National Institute of Mental Health, Klecany, Czechia.,Department of Psychology, Faculty of Arts, Charles University, Prague, Czechia
| | - Pavel Mohr
- Department of Psychiatry and Medical Psychology, Third Faculty of Medicine, Charles University, Prague, Czechia.,Clinical Center, National Institute of Mental Health, Klecany, Czechia
| | - Antonin Sebela
- Center of Perinatal Mental Health, National Institute of Mental Health, Klecany, Czechia.,Department of Psychiatry and Medical Psychology, Third Faculty of Medicine, Charles University, Prague, Czechia
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11
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Zhang Y, Mu Y, Li X, Sun C, Ma X, Li S, Li L, Zhang Z, Qi S. Improved Interhemispheric Functional Connectivity in Postpartum Depression Disorder: Associations With Individual Target-Transcranial Magnetic Stimulation Treatment Effects. Front Psychiatry 2022; 13:859453. [PMID: 35370853 PMCID: PMC8964485 DOI: 10.3389/fpsyt.2022.859453] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/14/2022] [Indexed: 11/19/2022] Open
Abstract
Postpartum depression (PPD) is a depressive condition that is associated with a high risk of stressful life events, poor marital relationships, and even suicide. Neuroimaging techniques have enriched our understanding of cerebral mechanisms underlying PPD; namely, abnormalities in the amygdala-insula-frontal circuit might contribute to the pathogenesis of PPD. Stanford Accelerated Intelligent Neuromodulation Therapy (SAINT) is a recently validated neuroscience-informed accelerated intermittent theta-burst stimulation repetitive transcranial magnetic stimulation (rTMS) protocol. It has been shown to be effective, safe, tolerable, and rapid acting for treating treatment-resistant depression, and may be a valuable tool in the treatment of PPD. The purpose of the current study was to detect inter-hemispheric connectivity changes and their relationship with the clinical treatment effects of rTMS. Resting-state fMRI data from 32 patients with PPD treated with SAINT were collected and compared with findings from 32 age matched healthy controls. Voxel-mirrored homotopic connectivity (VMHC) was used to analyze the patterns of interhemispheric intrinsic functional connectivity in patients with PPD. Scores on the 17-item Hamilton Depression Rating Scale, Edinburgh Postnatal Depression Scale (EPDS) scores, and the relationships between these clinical characteristics and VMHC were the primary outcomes. Patients with PPD at baseline showed reduced VMHC in the amygdala, insula, and medial frontal gyrus compared with the HCs. These properties showed a renormalization after individualized rTMS treatment. Furthermore, increased connectivity between the left and right insula after SAINT was significantly correlated with the improvement of EPDS scores. Our results reveal the disruptions in the intrinsic functional architecture of interhemispheric communication in patients with PPD, and provide evidence for the pathophysiological mechanisms and the effects of rTMS.
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Affiliation(s)
- Yao Zhang
- Xijing Hospital, The Air Force Military Medical University, Xi'an, China
| | - Yunfeng Mu
- Department of Gynecological Oncology, Shaanxi Provincial Cancer Hospital, Xi'an, China
| | - Xiang Li
- Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, China.,The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.,The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, China.,Xi'an Solide Brain Control Medical Technology Company, Xi'an, China
| | - Chuanzhu Sun
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.,The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, China
| | - Xiaowei Ma
- Department of Nuclear Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sanzhong Li
- Department of Neurosurgery, Xijing Hospital, The Air Force Military Medical University, Xi'an, China
| | - Li Li
- Center of Treatment and Rehabilitation of Severe Neurological Disorders, Xi'an International Medical Center Hospital, Xi'an, China
| | - Zhaohui Zhang
- Henan Key Laboratory of Neurorestoratology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.,Henan Engineering Research Center of Physical Diagnostics and Treatment Technology for the Mental and Neurological Diseases, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Shun Qi
- Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, China.,Shaanxi Brain Modulation and Scientific Research Center, Xi'an, China
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12
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He H, Ding S, Jiang C, Wang Y, Luo Q, Wang Y. Information Flow Pattern in Early Mild Cognitive Impairment Patients. Front Neurol 2021; 12:706631. [PMID: 34858306 PMCID: PMC8631864 DOI: 10.3389/fneur.2021.706631] [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: 05/07/2021] [Accepted: 10/11/2021] [Indexed: 12/05/2022] Open
Abstract
Purpose: To investigate the brain information flow pattern in patients with early mild cognitive impairment (EMCI) and explore its potential ability of differentiation and prediction for EMCI. Methods: In this study, 49 patients with EMCI and 40 age- and sex-matched healthy controls (HCs) with available resting-state functional MRI images and neurological measures [including the neuropsychological evaluation and cerebrospinal fluid (CSF) biomarkers] were included from the Alzheimer's Disease Neuroimaging Initiative. Functional MRI measures including preferred information flow direction between brain regions and preferred information flow index of each brain region parcellated by the Atlas of Intrinsic Connectivity of Homotopic Areas (AICHA) were calculated by using non-parametric multiplicative regression-Granger causality analysis (NPMR-GCA). Edge- and node-wise Student's t-test was conducted for between-group comparison. Support vector classification was performed to differentiate EMCI from HC. The least absolute shrinkage and selection operator (lasso) regression were used to evaluate the predictive ability of information flow measures for the neurological state. Results: Compared to HC, disturbed preferred information flow directions between brain regions involving default mode network (DMN), executive control network (ECN), somatomotor network (SMN), and visual network (VN) were observed in patients with EMCI. An altered preferred information flow index in several brain regions (including the thalamus, posterior cingulate, and precentral gyrus) was also observed. Classification accuracy of 80% for differentiating patients with EMCI from HC was achieved by using the preferred information flow directions. The preferred information flow directions have a good ability to predict memory and executive function, level of amyloid β, tau protein, and phosphorylated tau protein with the high Pearson's correlation coefficients (r > 0.7) between predictive and actual neurological measures. Conclusion: Patients with EMCI were presented with a disturbed brain information flow pattern, which could help clinicians to identify patients with EMCI and assess their neurological state.
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Affiliation(s)
- Haijuan He
- Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, China
| | - Shuang Ding
- Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, China
| | - Chunhui Jiang
- Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, China
| | - Yuanyuan Wang
- Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, China
| | - Qiaoya Luo
- Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, China
| | - Yunling Wang
- Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, China
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13
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Martínez-García M, Paternina-Die M, Desco M, Vilarroya O, Carmona S. Characterizing the Brain Structural Adaptations Across the Motherhood Transition. Front Glob Womens Health 2021; 2:742775. [PMID: 34816246 PMCID: PMC8593951 DOI: 10.3389/fgwh.2021.742775] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/10/2021] [Indexed: 12/23/2022] Open
Abstract
Women that become mothers face notable physiological adaptations during this life-period. Neuroimaging studies of the last decade have provided grounded evidence that women's brains structurally change across the transition into motherhood. The characterization of this brain remodeling is currently in its early years of research. The current article reviews this scientific field by focusing on our longitudinal (pre-to-post pregnancy) Magnetic Resonance Imaging (MRI) studies in first-time parents and other longitudinal and cross-sectional studies of parents. We present the questions that are currently being answered by the parental brain literature and point out those that have not yet been explored. We also highlight potential confounding variables that need to be considered when analyzing and interpreting brain changes observed during motherhood.
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Affiliation(s)
- Magdalena Martínez-García
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - María Paternina-Die
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Manuel Desco
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.,Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Oscar Vilarroya
- Department of Psychiatry and Legal Medicine, Autonomous University of Barcelona, Barcelona, Spain.,Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Susanna Carmona
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
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14
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Li Y, Chu T, Che K, Dong F, Shi Y, Ma H, Zhao F, Mao N, Xie H. Altered gray matter structural covariance networks in postpartum depression: a graph theoretical analysis. J Affect Disord 2021; 293:159-167. [PMID: 34192630 DOI: 10.1016/j.jad.2021.05.018] [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: 03/24/2021] [Revised: 05/11/2021] [Accepted: 05/14/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND Postpartum depression (PPD) is a serious postpartum mental health problem worldwide. To date, minimal is known about the alteration of topographical organization in the brain structural covariance network of patients with PPD. This study investigates the brain structural covariance networks of patients with PPD by using graph theoretical analysis. METHODS High-resolution 3D T1 structural images were acquired from 21 drug-naive patients with PPD and 18 healthy postpartum women. Cortical thickness was extracted from 64 brain regions to construct the whole-brain structural covariance networks by calculating the Pearson correlation coefficients, and their topological properties (e.g., small-worldness, efficiency, and nodal centrality) were analyzed by using graph theory. Nonparametric permutation tests were further used for group comparisons of topological metrics. A node was set as a hub if its betweenness centrality (BC) was at least two standard deviations higher than the mean nodal centrality. Network-based statistic (NBS) was used to determine the connected subnetwork. RESULTS The PPD and control groups showed small-worldness of group networks, but the small-world network was more evidently in the PPD group. Moreover, the PPD group showed increased network local efficiency and almost similar network global efficiency. However, the difference of the network metrics was not significant across the range of network densities. The hub nodes of the patients with PPD were right inferior parietal lobule (BC = 13.69) and right supramarginal gyrus (BC = 13.15), whereas those for the HCs were left cuneus (BC = 14.96), right caudal anterior-cingulate cortex (BC = 15.51), and right precuneus gyrus (BC = 15.74). NBS demonstrated two disrupted subnetworks that are present in PPD: the first subnetwork with decreased internodal connections is mainly involved in the cognitive-control network and visual network, and the second subnetwork with increased internodal connections is mainly involved in the default mode network, cognitive-control network and visual network. CONCLUSIONS This study demonstrates the alteration of topographical organization in the brain structural covariance network of patients with PPD, providing in sight on the notion that PPD could be characterized as a systems-level disorder.
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Affiliation(s)
- Yuna Li
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, P.R. China
| | - Tongpeng Chu
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, P.R. China
| | - Kaili Che
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, P.R. China
| | - Fanghui Dong
- School of Medical Imaging, Binzhou Medical University, Yantai, Shandong 264000, P.R. China
| | - Yinghong Shi
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, P.R. China
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, P.R. China
| | - Feng Zhao
- Compute Science and Technology, Shandong Technology and Business University Yantai, Shandong 264000, P.R. China
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, P.R. China.
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, P.R. China.
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15
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Huang X, Zhang D, Wang P, Mao C, Miao Z, Liu C, Xu C, Yin X, Wu X. Altered amygdala effective connectivity in migraine without aura: evidence from resting-state fMRI with Granger causality analysis. J Headache Pain 2021; 22:25. [PMID: 33858323 PMCID: PMC8048057 DOI: 10.1186/s10194-021-01240-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/05/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Granger causality analysis (GCA) has been used to investigate the pathophysiology of migraine. Amygdala plays a key role in pain modulation of migraine attack. However, the detailed neuromechanism remained to be elucidated. We applied GCA to explore the amygdala-based directional effective connectivity in migraine without aura (MwoA) and to determine the relation with clinical characteristics. METHODS Forty-five MwoA patients and forty age-, sex-, and years of education-matched healthy controls(HCs) underwent resting-state functional magnetic resonance imaging (fMRI). Bilateral amygdala were used as seed regions in GCA to investigate directional effective connectivity and relation with migraine duration or attack frequency. RESULTS MwoA patients showed significantly decreased effective connectivity from right amygdala to right superior temporal gyrus, left superior temporal gyrus and right precentral gyrus compared with HCs. Furthermore, MwoA patients demonstrated significantly decreased effective connectivity from the left amygdala to the ipsilateral superior temporal gyrus. Also, MwoA patients showed enhanced effective connectivity from left inferior frontal gyrus to left amygdala. Effective connectivity outflow from right amygdala to right precentral gyrus was negatively correlated to disease duration. CONCLUSIONS Altered directional effective connectivity of amygdala demonstrated that neurolimbic pain networks contribute to multisensory integration abnormalities and deficits in pain modulation of MwoA patients.
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Affiliation(s)
- Xiaobin Huang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road Nanjing, 210006, Nanjing, Jiangsu Province, China
| | - Di Zhang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road Nanjing, 210006, Nanjing, Jiangsu Province, China
| | - Peng Wang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road Nanjing, 210006, Nanjing, Jiangsu Province, China
| | - Cunnan Mao
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road Nanjing, 210006, Nanjing, Jiangsu Province, China
| | - Zhengfei Miao
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road Nanjing, 210006, Nanjing, Jiangsu Province, China
| | - Chunmei Liu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, 210006, Nanjing, Jiangsu Province, China
| | - Chenjie Xu
- Department of Pain Treatment, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, 210006, Nanjing, Jiangsu Province, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road Nanjing, 210006, Nanjing, Jiangsu Province, China
| | - Xinying Wu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road Nanjing, 210006, Nanjing, Jiangsu Province, China.
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