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ORIGINAL RESEARCH article

Front. Psychiatry, 20 April 2021
Sec. Mood Disorders
This article is part of the Research Topic Neurological and Clinical Aspects of Perinatal Mental Health View all 9 articles

Cerebral Regional Homogeneity Alternation of Pregnant Women With Antenatal Depression During the Pandemic

\nBochao ChengBochao Cheng1Yajing MengYajing Meng2Yushan ZhouYushan Zhou3Jinrong LiJinrong Li4Jianguang ZengJianguang Zeng5Xi TanXi Tan6Kaiyou ZhangKaiyou Zhang7Ya LuoYa Luo2Yan Zhang
&#x;Yan Zhang8*
  • 1Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
  • 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
  • 3Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
  • 4Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China
  • 5School of Economics and Business Administration, Chongqing University, Chongqing, China
  • 6Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China
  • 7Department of Clinical Laboratory, West China Second Hospital, Sichuan University, Chengdu, China
  • 8Department of Gynecology and Obstetrics, Wuxi Maternal and Child Health Hospital, The Affiliated Hospital of Nanjing Medical University, Wuxi, China

Purpose: The COVID-19 epidemic has been a threat to the health of people all over the world. Various precautions during COVID-19 in China have kept a large number of people in isolation, and this has inconvenienced and placed enormous stress on pregnant women. Pregnant women are more likely to suffer from antenatal depression (ANDP) with social isolation or low social support. This research aims to investigate the neurobiological mechanisms underlying ANDP, which impedes early detection and intervention in this disorder.

Methods: A total of 43 singleton pregnant women who experienced isolation were recruited, including 21 treatment-naïve ANDP patients and 22 healthy pregnant women (HPW). To explore the intrinsic cerebral activity alternations in ANDP using resting-state functional MRI (rsfMRI), we assessed the local regional homogeneity (ReHo) differences in two groups using the voxel-based whole-brain analysis. The correlation between the regional functional abnormalities and clinical variables in ANDP patients was also examined.

Results: Compared with HPW, ANDP patients showed decreased ReHo in the left dorsolateral prefrontal cortex, right insular and the cluster coving the right ventral temporal cortex (VTC), amygdala (AMG), and hippocampus (HIP). The Edinburgh Postnatal Depression Scale (EPDS) scores of ANDP patients negatively correlated with the ReHo in the right VTC, AMG, and HIP.

Conclusion: Elucidating the neurobiological features of ANDP patients during COVID-19 is crucial for evolving adequate methods for early diagnosis, precaution, and intervention in a future epidemic.

Introduction

The World Health Organization declared COVID-19 as a pandemic that has swept into at least 185 countries, areas, or territories, and the number of confirmed cases has risen to 118,058,503, including 2,621,046 deaths, by March 12, 2021, (https://www.who.int/emergencies/diseases/novel-coronavirus-2019). To lower the risk of further disease transmission, various precautions have been taken, such as hand washing, wearing face masks, practicing social distancing, isolation of suspected and diagnosed cases, encouraging people to stay at home, lockdown of communities or cities, etc. With a high risk of infectiousness and lethality, COVID-19 has been described as a killer virus by media or social networking tools, which has perpetuated the sense of danger and pushed huge pressure on the public and, particularly, pregnant women, even triggering fear and mental disorders (i.e., panic attacks, anxiety, and depression). Although the COVID-19 situation in China has greatly improved and most people have returned to normal life, these precautionary isolation efforts for COVID-19 in China not only keep most people inconvenienced, but they may have a significant negative impact on pregnant women, especially since their need for social support is great during this period (1). Thus, many pregnant women have declaimed a sense of sadness or stress and have attended hospital.

Pregnant women are more likely to encounter depression and anxiety with social isolation or low social support. Sufficient social support and social contact during pregnancy are considered preventative factors against developing antepartum depression (ANDP) (1, 2). As one of the primarily susceptible mental disorders during the antenatal period (3), antenatal depression (ANDP) is generally characterized by persistent and pervasive feelings of sadness, loss of interest or joylessness, feelings of guilt, and worthlessness, and difficulties concentrating (4). Different studies have verified that the incidence rates of ANDP range from 5 to 25% (59), and these rival the rates of gestational diabetes (10) and hypertension (11). Despite the high prevalence of ANPD, treatment rates in the general population remain astonishingly low. It was reported that 12% of general ANDP patients (12) and 5% of high-risk pregnant women receive psychiatric treatment (13). Thus, ANDP has caused great adverse consequences not only for the well-being of mothers but also for their offspring (1416). In addition, ANDP has been recognized as the most important independent risk factor for developing postpartum depression (PPD) (17).

As is known, pregnancy causes significant changes in the hormonal state, leading to physiological and biochemical changes in the body. However, sometimes the symptoms of ANDP are atypical, such as loss of appetite, fatigue, and sleep disturbances (18), which has lead to confusion with a regular pregnancy response (19, 20). The underlying neural mechanism of ANDP is still unclear, which impedes early detection and treatment.

Neuroimaging tools have the potential to elucidate the neurological pathologies of psychiatric disorders (21). Fundamental studies have revealed the function and functional connectivity (FC) alterations of the brain during resting-state (22, 23) and different task performances in PPD (2428). In particular, such interest is mainly concerned with some frequently mentioned regions regarding the prefrontal-limbic neural system covering the dorsolateral prefrontal cortex (DLPFC), orbitofrontal cortex (OFC), medial prefrontal cortex (MPFC), cingulate cortex (CC), temporal cortices, and limbic structures (amygdala (AMG); hippocampus (HIP); striatum) (22, 23, 29, 30). However, the current ANDP research is still at an early stage, and few fMRIs have evaluated the cerebral functional alternation. Only one previous study from our team reported functional divergence in ANDP vs. healthy postpartum women during the non-epidemic period using the method of fractional amplitude of low-frequency fluctuations (fALFF) based on resting-state fMRI (31). The results indicated the abnormal fALFF regions of ANDP concerning dysfunction multiply in the nervous system without any external interference (such as the isolation and stress from COVID-19). Besides, the fALFF value only reflects the regional properties of spontaneous brain activity (32, 33) and hardly reflect the temporal homogeneity of neural activity. On the contrary, the local regional homogeneity (ReHo) of resting-state fMRI signals could reflect the temporal synchronized neural activity of the regional fMRI BOLD signals (34). The ReHo is neurobiologically relevant and dependent upon a combination of anatomical, developmental, and neurocognitive factors. Abnormal ReHo is assumed to be relevant to aberrant changes in the temporal aspects of the spontaneous neural activity in the regional brain and can be used to find abnormal activity in the whole brain (35).

Therefore, we utilized ReHo in the present study to identify the differences between the first episode, treatment-naïve ANDP, and healthy pregnant women (HPW) in China during the COVID-19 pandemic. The correlation between clinical variables and functional abnormalities was also checked in ANDP patients. We hypothesized that ANDP patients have ReHo abnormalities in some structures of the prefrontal-limbic circuit concerning the dysfunction of cognitive control, fear, and stress response.

Methods

Participants

This study was approved by the local ethics committee of the West China Second University Hospital of Sichuan University and followed the Helsinki Declaration. All the participants provided written informed consent. Participants were pregnant women who stay at home for isolation for more than 1 month without COVID-19 infection and self-reported sadness or stress during the COVID-19 pandemic. A total of 48 right-handed, pregnant Han women of Chinese nationality were consecutively recruited at the maternity clinic during their second or third trimester of pregnancy (prenatal visits ≧ 24 pregnancy weeks, ages from 25 to 32). Of these, 3 ANDP patients and 2 HPW were excluded due to poor image quality. Finally, 21 pregnant women with ANDP and 22 HPW were included in our study.

The diagnosis of first-episode, treatment-naïve ANDP was made according to the criteria of unipolar major depression of the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) (36) by two experienced psychiatrists (YL and YJ) at the departments of psychiatry, West China Hospital of Sichuan University. The demographic and clinical characteristics and reproductive information of the women were summarized in Table 1. The exclusion criteria included medical diseases such as cardiovascular diseases and diabetes, a history of depression or anxiety or any other Axis I mental disorders such as schizophrenia, bipolar disorder, and substance dependence (other than nicotine), a history of suicide, alcohol or drug abuse, a history of hormonal contraception, and the use of psychotropic medications or using vasoactive medications or cognitive behavior therapy.

TABLE 1
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Table 1. Demographic information.

Questionnaire Measure

The Edinburgh Postnatal Depression Scale (EPDS) (37) is the most validated and widely used self-report screening scale for evaluating depression during the perinatal period. It has been well-validated in the PPD and in the ANDP (38). A total score of ≧13 indicates clinically significant depression (38). Beck's Anxiety Inventory (BAI) (39) is a series of self-report questionnaires used to evaluate the severity of depression and anxiety symptoms, respectively.

The Chinese Connor–Davidson Resilience Scale (CD-RISC) is used to assess an individual's ability to respond and adapt to life adversities, traumas, tragedies, threats, or other major life stresses (40, 41). Social support level was measured with the Social Support Rating Scale (SSRS), which has been applied in a wide range of Chinese populations (4244) especially in prenatal and postpartum mothers (43, 44).

Image Acquisition

All participants were scanned by a 3-T magnetic resonance imaging system with a 32-channel head coil (MAGNETOM Skyra, Siemens Medical Solutions, Erlangen, Germany). The rsfMRI images were obtained using a gradient-echo echo-planar imaging (EPI) sequence with the following parameters: repetition time (TR) = 2,000 ms; echo time (TE) = 30 ms; flip angle (FA) = 90°, number of slices = 30; slice thickness = 5 mm; field of view (FOV) = 240 × 240 mm2; matrix = 64 × 64; and voxel size = 3.75 × 3.75 × 5 mm3. Each scan lasted for 400 seconds (i.e., 200 volumes).

Data Preprocessing

Data preprocessing was performed using the SPM8 package (http://www.fil.ion.ucl.ac.uk/spm) and DPARSF (45), including slice timing, realignment, and normalization to the Montreal Neurological Institute echo-planar imaging template (each voxel was resampled to 3 × 3 × 3 mm3). Finally, several nuisance covariates were regressed out, including six head motion parameters, the average signals from white matter, cerebrospinal fluid, and global signals. ReHo shows similarity or synchronization of fMRI signals of nearest neighboring voxels, and Kendall's coefficient of concordance (KCC) is used for the measurement based on the regional homogeneity hypothesis. The individual ReHo map was generated in a voxel-wise fashion, and all ReHo maps were smoothed with a Gaussian filter of 4 mm full-width half maximum (FWHM) kernel to manage the anatomical variability that was not compensated for by spatial normalization (34). Finally, ReHo maps for each subject were transformed to Z scores for subsequent analysis.

Statistical Analysis

Demographical and clinical variables were assessed using one-way ANOVA or chi-square test by Statistical Package for Social Sciences (SPSS, version 20.0). All values in the text are displayed as mean ± standard deviation (SD) unless otherwise stated. To explore the differences between ANDP patients and HPW, a two-sample t test was performed on the individual normalized ReHo image in a voxel-by-voxel manner using SPM8 with the whole brain volume, age, and pregnant weeks as covariates. The significance was set at p < 0.05 (false discovery rate (FDR)-correction; voxel level and cluster level) after the FDR-correction for multiple comparisons with a minimum cluster size of 80 voxels.

Spearman rank correlation analyses were conducted to examine the relationship between demographic/clinical variables and ReHo abnormalities. We defined ROI as consisting of the voxels in the regions that showed the significant ReHo differences between the ANDP and HPW were defined. These ROIs were selected using the xjView tool in SPM8. The ReHo within these ROIs of patients were extracted using the MarsBar toolbox. Then, the correlation analysis was performed using SPSS between the ReHo in these ROIs and all the demographic and clinical variables.

Results

Clinical Variables

No significant differences between ANDP and HPW were found in age, marital status, habitation, education, employment, annual family incomes, medical/reproductive history, including pregnant weeks, multiple births, history of bad pregnancy and maternity, etc. (Table 1). Compared with the HPW group, the ANDP group exhibited superior scores in EPDS and BAI (p < 0.05). No difference regarding CD-RISC and SSRS scores was found (Table 1).

fMRI Results

ANDP vs. HPW

Compared with the HPW group, the ANDP group had decreased ReHo in the left dorsal prefrontal cortex (DLPFC) (Figure 1 and Table 2) and the cluster covering the right ventral temporal cortices (VTC), HIP, and AMG (Figures 2A–C and Table 2) (p < 0.05, FDR-corrected). No increased ReHo region was found between ANDP vs. HPW.

FIGURE 1
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Figure 1. Compared with HPW, ANDP patients showed decreased ReHo in the left DLPFC. Blue to green indicates the regions that exhibit decreased ReHo in ANDP (p < 0.05, FDR-corrected). ANDP, Antenatal depression; DLPFC, dorsolateral prefrontal cortex; HPW, healthy pregnant women; ReHo, regional homogeneity; L, left side.

TABLE 2
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Table 2. Compared with HW, ANDP patients have decreased ReHo regions.

FIGURE 2
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Figure 2. (A–C) Exhibited ANDP patients showed decreased ReHo in the right insular, the cluster covering right VTC, HIP, and AMG. Blue to green indicates the regions that exhibit decreased ReHo in ANDP vs. HPW (p < 0.05, FDR-corrected). (D) Exhibited EPDS scores of ANDP patients were negatively associated with the ReHo of ANDP patients in the right VTC, HIP, and AMG (r = −0.59, p < 0.05). HPW, healthy pregnant women; EPDS, Edinburgh Postnatal Depression Scale; AMG, amygdala; HIP, hippocampus; INSUL, insular; VTC, ventral temporal cortex. ReHo, regional homogeneity; R, right side.

Correlation

The ReHo values of the region of interests (right VTC, HIP, and AMG) were negatively correlated with the EPDS of the ANDP patients (r = −0.59, Figure 2D).

Discussion

As per previous reports, women are much more vulnerable to stress (46) and showed significantly higher emotional distress than men in isolation during the threat of COVID-19 (47). Yan et al. (48) launched a meta-analysis and revealed the prevalence rates of ANDP during the COVID-19 pandemic are significantly higher than those in the general population (48). Besides, a current longitudinal study across racial and ethnic groups of women during the prenatal and postpartum periods showed that depressive and anxiety symptoms were higher during COVID-19 relative to pre-COVID-19. This increase in depressive symptoms was accompanied by more loneliness (49).

Previous neuroimaging studies have detected functional cerebral abnormalities of non-parturient depressive patients in response to emotional cues in some regions regarding emotion regulation, motivation, and decision making (50, 51). Substantial literature concluded that depression in pregnant women has an impact on their “hedonic” responses to stimuli and may cause maternal executive and cognitive dysfunction (52, 53). Although pregnant women in isolation during the pandemic are not a high-risk group in terms of COVID-19 infection, they suffer greater mental stress, fear and be prone to negative emotions. In our current study, even though no significant difference was detected between the two groups regarding SSRS and CD-RISC scores, the ANDP group exhibited lower CD-RISC and SSRS scores than the HPW group. The results showed ANDP patients have less social support and lower resilience to adapt to life adversities like the COVID-19 pandemic.

The current results confirmed our hypothesis that, under the threat of COVID-19, postpartum women who have intrinsic abnormal cerebral activity in the prefrontal-limbic structures concerning the dysfunction of cognitive control, fear, and stress response develop ANDP. Particularly, these abnormalities include the decrease of ReHo in the left DLPPFC, the right insular, and a cluster covering the right VTC, HIP, and AMG. The higher EPDS scores were also found to be correlated with less ReHo of the right VTC, HIP, and AMG of ANDP patients.

Neuroimaging findings feature the importance of prefrontal cortices (PFC) in parenting behaviors (54). The cognitive system associated with the DLPFC might form such an auxiliary top-down regulation system and regulate the balance between negative and positive emotions (55, 56). The DLPFC could process emotional stimuli (57) and conduct emotion regulation (58). Increased resting-state functional activity (RSFC) has been found in the DLPFC of unhappy people (59). A meta-analysis reported a consistent decreased gray matter volume (GMV) in the ACC, the DLPFC, and dorsomedial prefrontal cortex (DMPFC) of MDD. The DLPFC has also been reported to have a pivotal role in regulating medial PFC/ACC connectivity. After transcranial magnetic stimulation (TMS) of the left DLPFC of depressive patients, an improved working memory performance was observed (60), and this effect is primarily mediated by the medial PFC/ACC, a component of the default mode network (DMN). Combing our results with the abovementioned findings, the evaluated function of DLPFC in ANDP patients may indicate a positive treatment response, whereas the decreased activity of DLPFC may result in impaired cognitive control and emotional regulation.

As a frequently reported limbic structure, AMG is critical for emotional regulation, especially fear and the fear response (61, 62), and has been found to participate in maternal behaviors (63). AMG involves dopamine-associated reward processing and oxytocin release (64) and regulates maternal behavior in other mammals (65). Abler et al. stated that treatment-resist PPD was associated with failing to activate the right amygdala in response to threat-related stimulus (66). In this light, our key finding is that the decreased ReHo of the right AMG of PPD may experience a dilemma in adaptation to the new maternal identity under the threat of COVID-19. This further clarifies amygdala dysregulation associated with ANDP symptomatology, and this is essential to characterize the symptoms of depression that occurs specifically during the perinatal period.

Another limbic area adjunction to AMG, HIP, has been extensively studied in patients with mood disorders. HIP is usually reported to involve learning, memory, and stress responses (67, 68). A reduction of HIP volume has been widely reported in MDD patients (69) and the depressive animal models (70, 71). In addition, extensive rodent and human research have shown that HIP plays an important role in stress responses via the hypothalamus-pituitary-adrenal (HPA) axis. The mnemonic functions and neuroplasticity of HIP are highly sensitive to stress, inducing increased secretion of cortisol (72). Thus, we hypothesize that the long-time exposure to stress and fear (COVID-19 pandemic) may induce the activation of HPA and feedback inhibition of the HIP.

The temporal lobe is critical for memory, emotion, and social information processing, which is a key region closely linked to negative emotion processing. Some studies reported decreased synchronous cerebral activity of depression patients in the right VTC and implicated that the region is strongly linked to the symptoms of PPD patients (22). Our findings reported the hypoactivity activities in the cluster of right VTC, AMG, and HIP of in ANDP patients are accompanied by more serious depressive symptoms, which suggests a decline in the suppression of negative emotions.

As a complex and pivotal brain area taking a vital role in the core limbic system, the insula engages in various cognitive and emotional functions (73). It is also reported to facilitate the interpretation of sensory information that contributes to emotional conditions (74). Insula is also crucial for integrating behavioral and affective processes (7578). Particularly, insula mediates the relationship between emotional state and decision bias, including maternal love. Its function in processing various sensory input information offers the possibility for inducing subjective feelings (79). The insula of PPD mothers responded less to their own infants' positive expressions (27). In addition, the right insular is involved in self-recognition (80). The hypoactivity of right insular in ANDP patients might indicate difficulty in transition to motherhood and difficulties regarding self-identification.

Given the novelty, the current study also bears several limitations. First is the small sample size of participants. This was owing to the recruitment difficulties in the COVID-19 pandemic, and this may, to some extent, induce statistical errors (false negative and Type II error). Furthermore, our current study only examined the brain regional homogeneity of participants and failed to describe some commonly reported abnormalities such as OFC and cingulate cortex. Small-scale sample sizes, different study designs, and method differences (whole-based vs. ROI) may partly account for this. Third, our study only evaluated antenatal maternity at the second and third trimester and not the first trimester. The fact is that the second and third trimesters during pregnancy are critical periods when neural migration and synaptogenesis of the fetal brain rapidly develop. Moreover, a systematic review reported by Bennett et al. proposed that pregnant women in the second or third trimester have a risk for AD that is twice that of the first trimester (81). Fourth, despite this, behavior studies have demonstrated social isolation may induce a sense of loneliness accompanied by more severe ANDP symptoms. No previous cerebral structural or functional alteration in the isolation situation has been reported. The underlying neural mechanism is still unclear. Therefore, further fMRI studies are needed to address the difference through the comparison of ANDP patients between, during COVID-19, and outside COVID-19. Finally, we only applied resting-state rather than task-based tools, as pregnant women hardly tolerate longtime task-fMRI scanning. Longitudinal studies with multiply fMRI approaches were warranted to recruit a large sample size during the whole pregnancy in order to clarify the underlying neurobiological mechanisms of ANDP.

Conclusions

In this study, for the first time, we report the changed patterns of spontaneous neural activity in first episode, treatment-naïve ANDP patients during the COVID-19 pandemic. Our results indicated that the aberrant ReHo of ANDP patients is related mainly to prefrontal-limbic circuitry. Defining the neurobiological traits of ANDP patients is necessary for timely diagnosis and treatment, and it may help prevent ANDP in a possible future pandemic.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author Contributions

YZha took the main responsibility for study design, initiating, and writing the manuscript. BC and YM contributes to study design, data collection, data analyses, and writing this manuscript. YZho, JL, JZ, XT, KZ, and YL were responsible for the data collection and involved in the enrollment of participants. BC contribute to data analysis and editing the manuscript. All authors have contributed and have approved the final manuscript.

Funding

This study was supported by the Chinese National Natural Science Foundation (Grant No. 31800963/81401398/71572152), Scientific research project of the Sichuan health planning committee (Grant No. 20PJ078), the Youth Medicine Project of Jiangsu Province (Grant No. QNRC2016166), the Wuxi Science and Technology Bureau Project (Grant No.CSE31N1720), the Jiangsu Provincial Six Talent Peaks Project (Grant No.YY-124), the Fundamental Research Funds for the Central Universities (Approval No. 2019CDJSK02PT18), and the Venture & Innovation Support Program for Chongqing Overseas Returnees (Approval No. cx2019154).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors would like to thank the research participants involved in this study. We would also like to thank Dr. Yajun Zhao, School of Sociality and Psychology, Southwest Minzu University, Chengdu, for his instruction and assistance with patient enrollment.

References

1. McLeish J, Redshaw M. Mothers' accounts of the impact on emotional wellbeing of organised peer support in pregnancy and early parenthood: a qualitative study. BMC Pregnancy Childbirth. (2017) 17:28–28. doi: 10.1186/s12884-017-1220-0

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Friedman L, Gelaye B, Sanchez S, Williams M. Association of social support and antepartum depression among pregnant women. J Affect Disord. (2020) 264:201–5. doi: 10.1016/j.jad.2019.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Alipour ZL, Minoor L, Ebrahim H. Anxiety and fear of childbirth as predictors of postnatal depression in nulliparous women. Women Birth. (2012) 25:e37–43. doi: 10.1016/j.wombi.2011.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

4. American Psychiatric Association, American Psychiatric Association Staff, American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR. (2000). American Psychiatric Publishing, Inc.

Google Scholar

5. Neggers Y, Goldenberg RL, Cliver SP, Hauth CJ. Effects of domestic violence on preterm birth and low birth weight. Acta Obstetricia et Gynecol Scand. (2004) 83:455–60. doi: 10.1111/j.0001-6349.2004.00458.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Rahman A, Iqbal Z, Bunn JS, Lovel H, Harrington MR. Impact of maternal depression on infant nutritional status and illness: a cohort study. Arch General Psychiatr. (2004) 61:946–52. doi: 10.1001/archpsyc.61.9.946

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Gavin NI, Gaynes BN, Lohr KN, Meltzerbrody S, Gartlehner G, Swinson TJO, et al. Perinatal depression: a systematic review of prevalence and incidence. Obstet Gynecol. (2005) 106:1071–83. doi: 10.1097/01.AOG.0000183597.31630.db

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Dayan J, Creveuil C, Marks M, Conroy S, Herlicoviez M, Dreyfus M, et al. Prenatal depression, prenatal anxiety, and spontaneous preterm birth: a prospective cohort study among women with early and regular care. Psychosomat Med. (2006) 68:938–46. doi: 10.1097/01.psy.0000244025.20549.bd

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Field TM, Diego MA, Hernandezreif M, Deeds O, Holder V, Schanberg SM, et al. Depressed pregnant black women have a greater incidence of prematurity and low birthweight outcomes. Infant Behav Dev. (2009) 32:10–6. doi: 10.1016/j.infbeh.2008.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ekeroma AJ, Chandran GS, Mccowan L, Ansell D, Eagleton C, Kenealy T. Impact of using the international association of diabetes and pregnancy study groups criteria in South Auckland: prevalence, interventions and outcomes. Austral N Zealand J Obstetr Gynaecol. (2015) 55:34–41. doi: 10.1111/ajo.12267

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Vest AR, Cho LS. Hypertension in pregnancy. Obstetr Gynecol Clin North Am. (2014) 16:395. doi: 10.1007/s11883-013-0395-8

CrossRef Full Text | Google Scholar

12. Vigod SN, Wilson C, Howard ML. Depression in pregnancy. BMJ. (2016) 352:i1547. doi: 10.1136/bmj.i1547

CrossRef Full Text | Google Scholar

13. Byatt N, Hicks-Courant K, Davidson A, Levesque R, Mick E, Allison J, et al. Depression and anxiety among high-risk obstetric inpatients. General Hospital Psychiatr. (2014) 36:644–9. doi: 10.1016/j.genhosppsych.2014.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Grigoriadis S, Vonderporten EH, Mamisashvili L, Tomlinson G, Dennis C, Koren G, et al. The impact of maternal depression during pregnancy on perinatal outcomes: a systematic review and meta-analysis. J Clin Psychiatr. (2013) 74:321–41. doi: 10.4088/JCP.12r07968

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Stein A, Pearson RM, Goodman SH, Rapa E, Rahman A, Mccallum M, et al. Effects of perinatal mental disorders on the fetus and child. Lancet. (2014) 384:1800–19. doi: 10.1016/S0140-6736(14)61277-0

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Khalifeh H, Hunt IM, Appleby L, Howard ML. Suicide in perinatal and non-perinatal women in contact with psychiatric services: 15 year findings from a UK national inquiry. Lancet Psychiatr. (2016) 3:233–42. doi: 10.1016/S2215-0366(16)00003-1

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Leigh B, Milgrom J. Risk factors for antenatal depression, postnatal depression and parenting stress. BMC Psychiatr. (2008) 8:24–24. doi: 10.1186/1471-244X-8-24

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Posternak MA, Zimmerman MJPR. Symptoms of atypical depression. Psychiatry Res. (2001) 104:175–81. doi: 10.1016/S0165-1781(01)00301-8

CrossRef Full Text | Google Scholar

19. Lee AM, Lam SK, Sze ML, Stephanie M, Chong CS, Chui HW. Prevalence, course, and risk factors for antenatal anxiety and depression. Obstetr Gynecol. (2007) 110:1102–12. doi: 10.1097/01.AOG.0000287065.59491.70

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Marchesi C, Bertoni S, Maggini CJO. Major and minor depression in pregnancy. Psychiatry Res. (2009) 113:1292–8. doi: 10.1097/AOG.0b013e3181a45e90

CrossRef Full Text | Google Scholar

21. Paulus MP. The role of neuroimaging for the diagnosis and treatment of anxiety disorders. Depression Anxiety. (2008) 25:348–56. doi: 10.1002/da.20499

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Wang X, Wang J, Liu Z, Ming Y, Zhang S. Increased posterior cingulate, medial frontal and decreased temporal regional homogeneity in depressed mothers. A resting-state functional magnetic resonance study. Procedia Environ Sci. (2011) 8:737–43. doi: 10.1016/j.proenv.2011.10.112

CrossRef Full Text | Google Scholar

23. Deligiannidis KM, Sikoglu EM, Shaffer SA, Frederick B, Svenson AE, Kopoyan A, et al. GABAergic neuroactive steroids and resting-state functional connectivity in postpartum depression: a preliminary study. J Psychiatr Res. (2013) 47:816–28. doi: 10.1016/j.jpsychires.2013.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Silverman ME, Loudon H, Safier M, Protopopescu X, Leiter G, Liu X, et al. Neural dysfunction in postpartum depression: an fMRI pilot study. CNS Spectr. (2007) 12:853–62. doi: 10.1017/S1092852900015595

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Moses-Kolko EL, Fraser D, Wisner KL, James JA, Saul AT, Fiez JA, et al. Rapid habituation of ventral striatal response to reward receipt in postpartum depression. Biol Psychiatr. (2011) 70:395–9. doi: 10.1016/j.biopsych.2011.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Silverman ME, Loudon H, Liu X, Mauro C, Leiter G, Goldstein AM. The neural processing of negative emotion postpartum: a preliminary study of amygdala function in postpartum depression. Arch Womens Ment Health. (2011) 14:355–9. doi: 10.1007/s00737-011-0226-2

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Laurent HK, Ablow JC. A face a mother could love: Depression-related maternal neural responses to infant emotion faces. Social Neuroence. (2013) 8:228–39. doi: 10.1080/17470919.2012.762039

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Wonch KE, de Medeiros CB, Barrett JA, Dudin A, Cunningham WA, Hall GB, et al. Postpartum depression and brain response to infants: differential amygdala response and connectivity. Soc Neurosci. (2016) 11:600–17. doi: 10.1080/17470919.2015.1131193

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Moses-Kolko EL, Horner MS, Phillips ML, Hipwell AE, Swain EJ. In search of neural endophenotypes of postpartum psychopathology and disrupted maternal caregiving. J Neuroendocrinol. (2014) 26:665–84. doi: 10.1111/jne.12183

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Morgan JK, Guo C, Moses-Kolko EL, Phillips ML, Stepp SD, Hipwell EA. Postpartum depressive symptoms moderate the link between mothers' neural response to positive faces in reward and social regions and observed caregiving. Soc Cogn Affect Neurosci. (2017) 12:1605–13. doi: 10.1093/scan/nsx087

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Cheng B, Wang X, Zhou Y, Li J, Zhao Y, Xia S, et al. Regional cerebral activity abnormality in pregnant women with antenatal depression. J Affect Disord. (2020) 274:381–8. doi: 10.1016/j.jad.2020.05.107

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mantini D, Perrucci MG, Gratta CD, Romani GL, Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci USA. (2007) 104:13170–5. doi: 10.1073/pnas.0700668104

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Goldman RI, Stern JM, Engel J, Cohen SM. Simultaneous EEG and fMRI of the alpha rhythm. Neuroreport. (2008) 13:2487–92. doi: 10.1097/00001756-200212200-00022

CrossRef Full Text | Google Scholar

34. Zang Y, Jiang T, Lu Y, He Y, Tian L. Regional homogeneity approach to fMRI data analysis. NeuroImage. (2004) 22:394–400. doi: 10.1016/j.neuroimage.2003.12.030

PubMed Abstract | CrossRef Full Text | Google Scholar

35. He Y, Wang L, Zang Y, Tian L, Zhang X, Li K, et al. Regional coherence changes in the early stages of Alzheimer's disease: a combined structural and resting-state functional MRI study. NeuroImage. (2007) 35:488–500. doi: 10.1016/j.neuroimage.2006.11.042

PubMed Abstract | CrossRef Full Text | Google Scholar

36. First MB, Gibbon M. User's Guide for the Structured Clinical Interview for DSM-IV Axis I Disorders SCID-I: Clinician Version. Amer Psychiatric Pub Incorporated (1997).

Google Scholar

37. Cox J, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item edinburgh postnatal depression scale. Br J Psychiatr. (1987) 150:782–6. doi: 10.1192/bjp.150.6.782

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Murray D, Cox J. Screening for depression during pregnancy with the edinburgh depression scale (EDDS). J Reproduct Infant Psychol. (1990) 8:99–107. doi: 10.1080/02646839008403615

CrossRef Full Text | Google Scholar

39. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. (1988) 56:893–7. doi: 10.1037/0022-006X.56.6.893

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Connor KM, Davidson JRT. Development of a new resilience scale: the connor-davidson resilience scale (CD-RISC). Depression Anxiety. (2003) 18:76–82. doi: 10.1002/da.10113

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Yu X, Zhang J. Factor analysis and psychometric evaluation of the connor-davidson resilience scale (Cd-Risc) with Chinese people. Soc Behav Personal. (2007) 35:19–30. doi: 10.2224/sbp.2007.35.1.19

CrossRef Full Text | Google Scholar

42. Cheng Y, Liu C, Mao C, Qian J, Liu K, Ke GJP, et al. Social support plays a role in depression in Parkinson's disease: a cross-section study in a Chinese cohort. Parkinsonism Related Disord. (2008) 14:43–5. doi: 10.1016/j.parkreldis.2007.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Gao L, Chan SW, Mao Q. Depression, perceived stress, and social support among first-time Chinese mothers and fathers in the postpartum period. Res Nursing. (2009) 32:50–8. doi: 10.1002/nur.20306

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Xie R, He G, Koszycki D, Walker M, Wen WS. Prenatal social support, postnatal social support, postpartum depression. Annals Epidemiol. (2009) 19:637–43. doi: 10.1016/j.annepidem.2009.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Yan C, Zang Y. DPARSF: a MATLAB toolbox for pipeline data analysis of resting-state fMRI. J Front Syst Neurosci. (2010) 4:13. doi: 10.3389/fnsys.2010.00013

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Sareen J, Erickson J, Medved MI, Asmundson GJG, Logsetty S. Risk factors for post-injury mental health problems. Depression Anxiety. (2013) 30 321–7. doi: 10.1002/da.22077

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Qiu J, Shen B, Zhao M, Wang Z, Xie B, Xu Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. General Psychiatr. (2020) 33:e100213. doi: 10.1136/gpsych-2020-100213

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Yan H, Ding Y, Guo W. Mental health of pregnant and postpartum women during the coronavirus disease 2019 pandemic: a systematic review and meta-analysis. Front Psychol. (2020) 11:617001. doi: 10.3389/fpsyg.2020.617001

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Perzow SED, Hennessey EP, Hoffman MC, Grote NK, Davis EP, Hankin LB. Mental health of pregnant and postpartum women in response to the COVID-19 pandemic. J Affect Disord Rep. (2021) 4:100123. doi: 10.1016/j.jadr.2021.100123

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Drevets WC. Functional anatomical abnormalities in limbic and prefrontal cortical structures in major depression. Progress Brain Res. (2000) 126:413–31. doi: 10.1016/S0079-6123(00)26027-5

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Phillips ML, Drevets WC, Rauch SL, Lane R. Neurobiology of emotion perception II: implications for major psychiatric disorders. Biol Psychiatr. (2003) 54:515–28. doi: 10.1016/S0006-3223(03)00171-9

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Barrett J, Fleming AS. Annual research review: all mothers are not created equal: neural and psychobiological perspectives on mothering and the importance of individual differences. J Child Psychol. (2011) 52:368–97. doi: 10.1111/j.1469-7610.2010.02306.x

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Akbari E, Gonzalez A, Dudin A, Steiner M, Fleming A. Depressed mothers show increased anxiety and negativity and differential salivary cortisol in response to infant cries. J Depression Anxiety. (2015) 22:37–40. doi: 10.4172/2167-1044.S3-005

CrossRef Full Text | Google Scholar

54. Kim P, Leckman JF, Mayes LC, Feldman R, Wang X, Swain EJ. The plasticity of human maternal brain: longitudinal changes in brain anatomy during the early postpartum period. Behav Neurosci. (2010) 124:695–700. doi: 10.1037/a0020884

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Ochsner KN, Gross JJ. The cognitive control of emotion. Trends Cognit Sci. (2005) 9:242–9. doi: 10.1016/j.tics.2005.03.010

CrossRef Full Text | Google Scholar

56. Ochsner KN, Ray RR, Hughes BL, Mcrae K, Cooper JC, Weber J, et al. Bottom-up and top-down processes in emotion generation common and distinct neural mechanisms. Psychol Sci. (2009) 20:1322–31. doi: 10.1111/j.1467-9280.2009.02459.x

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Heller AS, Van Reekum CM, Schaefer SM, Lapate RC, Radler BT, Ryff CD, et al. Sustained striatal activity predicts eudaimonic well-being and cortisol output. Psychol Sci. (2013) 24:2191–200. doi: 10.1177/0956797613490744

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Hooker C, Knight R. The role of lateral orbitofrontal cortex in the inhibitory control of emotion. (2006) 8:307–24. doi: 10.1093/acprof:oso/9780198565741.003.0012

CrossRef Full Text | Google Scholar

59. Yangmei L, Xiting H, Zhen Y, Baolin L, Jie L, Dongtao W, et al. Regional homogeneity of intrinsic brain activity in happy and unhappy individuals. PLoS ONE. (2014) 9:e85181. doi: 10.1371/journal.pone.0085181

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Larissa W, Christian P. Amelioration of cognitive control in depression by transcranial direct current stimulation. J Biol Psychiatr. (2013) 73:646–51. doi: 10.1016/j.biopsych.2012.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Kaladjian A, Jeanningros R, Azorin JM, Nazarian B, Mazzola-Pomietto P. Remission from mania is associated with a decrease in amygdala activation during motor response inhibition. Bipolar Disord. (2009) 11:530–8. doi: 10.1111/j.1399-5618.2009.00722.x

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Almeida JRC, Versace A, Hassel S, Kupfer DJ, Phillips LM. Elevated amygdala activity to sad facial expressions: a state marker of bipolar but not unipolar depression. Biol Psychiatr. (2010) 67:414–21. doi: 10.1016/j.biopsych.2009.09.027

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Mayes LC. Arousal regulation, emotional flexibility, medial amygdala function, and the impact of early experience. Annals N Y Acad Sci. (2007) 1094:178–92. doi: 10.1196/annals.1376.018

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Vargas F, Uvnäs-Moberg K, Petersson M, Augustin Olausson H, Estrada I. Neuropeptides as neuroprotective agents: oxytocin a forefront developmental player in the mammalian brain. Progr Neurobiol. (2014) 123:37–78. doi: 10.1016/j.pneurobio.2014.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Bartels A, Zeki S. The neural correlates of maternal and romantic love. NeuroImage. (2004) 21:1155–66. doi: 10.1016/j.neuroimage.2003.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Abler B, Erk S, Herwig U, Walter H. Anticipation of aversive stimuli activates extended amygdala in unipolar depression. J Psychiatr Res. (2007) 41:511–22. doi: 10.1016/j.jpsychires.2006.07.020

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Fanselow MS. Contextual fear, gestalt memories, the hippocampus. Behav Brain Res. (2000) 110:73–81. doi: 10.1016/S0166-4328(99)00186-2

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Burgess N, Maguire EA, Okeefe J. The human hippocampus and spatial and episodic memory. Neuron. (2002) 35:625–41. doi: 10.1016/S0896-6273(02)00830-9

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Campbell S, Marriott M, Nahmias C, Macqueen G. Lower hippocampal volume in patients suffering from depression: a meta-analysis. Am J Psychiatr. (2004) 161:598–607. doi: 10.1176/appi.ajp.161.4.598

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Harrison PJ. The neuropathology of primary mood disorder. Brain. (2002) 125:1428–49. doi: 10.1093/brain/awf149

CrossRef Full Text | Google Scholar

71. Pittenger C, Duman RS. Stress, depression, and neuroplasticity: a convergence of mechanisms. Neuropsychopharmacology. (2008) 33:88–109. doi: 10.1038/sj.npp.1301574

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Checkley S. The neuroendocrinology of depression and chronic stress. Br Med Bull. (1996) 52:597–617. doi: 10.1093/oxfordjournals.bmb.a011570

CrossRef Full Text | Google Scholar

73. Augustine JR. Circuitry and functional aspects of the insular lobe in primates including humans. Brain Res Rev. (1996) 22:229–44. doi: 10.1016/S0165-0173(96)00011-2

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Craig AD. How do you feel? Interoception: the sense of the physiological condition of the body. Nat Rev Neurosci. (2002) 3:655–66. doi: 10.1038/nrn894

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Goulden N, Khusnulina A, Davis NJ, Bracewell RM, Bokde ALW, Mcnulty JP, et al. The salience network is responsible for switching between the default mode network and the central executive network: replication from DCM. NeuroImage. (2014) 99:180–90. doi: 10.1016/j.neuroimage.2014.05.052

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Wang C, Wu H, Chen F, Xu J, Li H, Li H, et al. Disrupted functional connectivity patterns of the insula subregions in drug-free major depressive disorder. J Affect Disord. (2017) 234:297–304. doi: 10.1016/j.jad.2017.12.033

PubMed Abstract | CrossRef Full Text | Google Scholar

77. van den Heuvel MP, Mandl RC, Kahn RS, Hulshoff Pol HE. Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Human Brain Mapp. (2009) 30:3127–41. doi: 10.1002/hbm.20737

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Sridharan D, Levitin DJ, Menon V. A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc Natl Acad Sci USA. (2008) 105:12569–74. doi: 10.1073/pnas.0800005105

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Craig AD. How do you feel — now? The anterior insula and human awareness. Nat Rev Neurosci. (2009) 10:59–70. doi: 10.1038/nrn2555

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Devue C, Collette F, Balteau E, Degueldre C, Luxen A, Maquet P, et al. Here I am: the cortical correlates of visual self-recognition. Brain Res. (2007) 1143:169–82. doi: 10.1016/j.brainres.2007.01.055

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Bennett HA, Einarson A, Taddio A, Koren G, Einarson TR. Prevalence of depression during pregnancy: systematic review. Obstet Gynecol. (2004) 103:698–709. doi: 10.1097/01.AOG.0000116689.75396.5f

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: COVID-19, antenatal depression, resting-state fMRI, ReHo, pregnant women, social isolation

Citation: Cheng B, Meng Y, Zhou Y, Li J, Zeng J, Tan X, Zhang K, Luo Y and Zhang Y (2021) Cerebral Regional Homogeneity Alternation of Pregnant Women With Antenatal Depression During the Pandemic. Front. Psychiatry 12:627871. doi: 10.3389/fpsyt.2021.627871

Received: 16 December 2020; Accepted: 22 March 2021;
Published: 20 April 2021.

Edited by:

Jiaojian Wang, University of Electronic Science and Technology of China, China

Reviewed by:

Bin Yang, Nanjing University, China
Laiana Quagliato, Federal University of Rio de Janeiro, Brazil
Heng Liu, Affiliated Hospital of Zunyi Medical College, China

Copyright © 2021 Cheng, Meng, Zhou, Li, Zeng, Tan, Zhang, Luo and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yan Zhang, 2004zhangshanshi@163.com

Present address: Yan Zhang, Department of Gynecology and Obstetrics, Wuxi Maternal and Child Health Hospital, The Affiliated Hospital of Nanjing Medical University, Wuxi, China

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