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Shekhar S, Hirvi P, Maria A, Kotilahti K, Tuulari JJ, Karlsson L, Karlsson H, Nissilä I. Maternal prenatal depressive symptoms and child brain responses to affective touch at two years of age. J Affect Disord 2024; 356:177-189. [PMID: 38508459 DOI: 10.1016/j.jad.2024.03.092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 03/13/2024] [Accepted: 03/16/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Touch is an essential form of mother-child interaction, instigating better social bonding and emotional stability. METHODS We used diffuse optical tomography to explore the relationship between total haemoglobin (HbT) responses to affective touch in the child's brain at two years of age and maternal self-reported prenatal depressive symptoms (EPDS). Affective touch was implemented via slow brushing of the child's right forearm at 3 cm/s and non-affective touch via fast brushing at 30 cm/s and HbT responses were recorded on the left hemisphere. RESULTS We discovered a cluster in the postcentral gyrus exhibiting a negative correlation (Pearson's r = -0.84, p = 0.015 corrected for multiple comparisons) between child HbT response to affective touch and EPDS at gestational week 34. Based on region of interest (ROI) analysis, we found negative correlations between child responses to affective touch and maternal prenatal EPDS at gestational week 14 in the precentral gyrus, Rolandic operculum and secondary somatosensory cortex. The responses to non-affective touch did not correlate with EPDS in these regions. LIMITATIONS The number of mother-child dyads was 16. However, by utilising high-density optode arrangements, individualised anatomical models, and video and accelerometry to monitor movement, we were able to minimize methodological sources of variability in the data. CONCLUSIONS The results show that maternal depressive symptoms during pregnancy may be associated with reduced child responses to affective touch in the temporoparietal cortex. Responses to affective touch may be considered as potential biomarkers for psychosocial development in children. Early identification of and intervention in maternal depression may be important already during early pregnancy.
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Affiliation(s)
- Shashank Shekhar
- Duke University School of Medicine, Department of Neurology, Durham, NC, USA; University of Turku, Department of Clinical Medicine, Turku Brain and Mind Center, FinnBrain Birth Cohort Study, Finland; University of Turku and Turku University Hospital, Department of Psychiatry, Finland
| | - Pauliina Hirvi
- Aalto University, Department of Neuroscience and Biomedical Engineering, Finland; Aalto University, Department of Mathematics and Systems Analysis, Finland
| | - Ambika Maria
- University of Turku, Department of Clinical Medicine, Turku Brain and Mind Center, FinnBrain Birth Cohort Study, Finland; University of Turku and Turku University Hospital, Department of Psychiatry, Finland
| | - Kalle Kotilahti
- Aalto University, Department of Neuroscience and Biomedical Engineering, Finland
| | - Jetro J Tuulari
- University of Turku, Department of Clinical Medicine, Turku Brain and Mind Center, FinnBrain Birth Cohort Study, Finland; University of Turku and Turku University Hospital, Department of Psychiatry, Finland; Turku Collegium for Science, Medicine and Technology, TCSMT, University of Turku, Finland
| | - Linnea Karlsson
- University of Turku, Department of Clinical Medicine, Turku Brain and Mind Center, FinnBrain Birth Cohort Study, Finland; University of Turku and Turku University Hospital, Department of Psychiatry, Finland; University of Turku and Turku University Hospital, Department of Paediatrics and Adolescent Medicine, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Hasse Karlsson
- University of Turku, Department of Clinical Medicine, Turku Brain and Mind Center, FinnBrain Birth Cohort Study, Finland; University of Turku and Turku University Hospital, Department of Psychiatry, Finland
| | - Ilkka Nissilä
- Aalto University, Department of Neuroscience and Biomedical Engineering, Finland.
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Gennaro S, Melnyk BM, Szalacha LA, Gibeau AM, Hoying J, O'Connor CM, Cooper AR, Aviles MM. Effects of Two Group Prenatal Care Interventions on Mental Health: An RCT. Am J Prev Med 2024; 66:797-808. [PMID: 38323949 DOI: 10.1016/j.amepre.2024.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 01/09/2024] [Accepted: 01/09/2024] [Indexed: 02/08/2024]
Abstract
INTRODUCTION Perinatal depression and anxiety cost the U.S. health system $102 million annually and result in adverse health outcomes. Research supports that cognitive behavioral therapy improves these conditions, but barriers to obtaining cognitive behavioral therapy have prevented its success in pregnant individuals. In this study, the impact of a cognitive behavioral therapy-based intervention on anxiety, depression, stress, healthy lifestyle beliefs, and behaviors in pregnant people was examined. STUDY DESIGN This study used a 2-arm RCT design, embedded in group prenatal care, with one arm receiving a cognitive behavioral therapy-based Creating Opportunities for Personal Empowerment program and the other receiving health promotion content. SETTING/PARTICIPANTS Black and Hispanic participants (n=299) receiving prenatal care from 2018 to 2022 in New York and Ohio who screened high on 1 of 3 mental health measures were eligible to participate. INTERVENTION Participants were randomized into the manualized Creating Opportunities for Personal Empowerment cognitive behavioral therapy-based program, with cognitive behavioral skill-building activities delivered by advanced practice nurses in the obstetrical setting. MAIN OUTCOME MEASURES Outcomes included anxiety, depression, and stress symptoms using valid and reliable tools (Generalized Anxiety Disorder scale, Edinburgh Postnatal Depression Scale, and Perceived Stress Scale). The Healthy Lifestyle Beliefs and Behaviors Scales examined beliefs about maintaining a healthy lifestyle and reported healthy behaviors. RESULTS There were no statistically significant differences between groups in anxiety, depression, stress, healthy beliefs, and behaviors. There were significant improvements in all measures over time. There were statistically significant decreases in anxiety, depression, and stress from baseline to intervention end, whereas healthy beliefs and behaviors significantly increased. CONCLUSIONS Both cognitive behavioral therapy and health promotion content embedded in group prenatal care with advanced practice nurse delivery improved mental health and healthy lifestyle beliefs and behaviors at a time when perinatal mood generally worsens. TRIAL REGISTRATION This study is registered with clinicaltrials.gov NCT03416010.
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Affiliation(s)
- Susan Gennaro
- William F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts
| | | | - Laura A Szalacha
- Morsani College of Medicine, University of South Florida, Tampa, Florida
| | | | | | - Caitlin M O'Connor
- William F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts.
| | - Andrea R Cooper
- College of Nursing, The Ohio State University, Columbus, Ohio
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Zhang Y, Banihashemi L, Versace A, Samolyk A, Taylor M, English G, Schmithorst VJ, Lee VK, Stiffler R, Aslam H, Panigrahy A, Hipwell AE, Phillips ML. Early Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality. Biol Psychiatry 2024:S0006-3223(24)01220-4. [PMID: 38604525 DOI: 10.1016/j.biopsych.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/05/2024] [Accepted: 04/01/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND High levels of infant negative emotionality (NE) and low positive emotionality (PE) predict future emotional and behavioral problems. The prefrontal cortex (PFC) supports emotional regulation, with each PFC subregion specializing in specific emotional processes. Neurite Orientation Dispersion and Density Imaging (NODDI) estimates microstructural integrity and myelination via the neurite density index (NDI) and dispersion via the orientation dispersion index (ODI), with potential to more accurately evaluate microstructural alterations in the developing brain. Yet, no study has used these indices to examine associations between PFC microstructure and concurrent or developing infant emotionality. METHODS We modeled PFC subregional NDI and ODI at 3 months with caregiver-reported infant NE and PE at 3 months (n=61) and at 9 months (n=50), using multivariable and subsequent bivariate regression models. RESULTS The most robust statistically-significant findings were positive associations among 3-month rACC ODI and cACC NDI and concurrent NE, and 3-month lOFC ODI and prospective NE; and a negative association between 3-month dlPFC ODI and concurrent PE. Multivariate models also revealed that other PFC subregional microstructure measures, and infant and caregiver sociodemographic and clinical factors, predicted infant 3- and 9-month NE and PE. CONCLUSIONS Greater NDI and ODI, reflecting greater microstructural complexity, in PFC regions supporting salience perception (rACC), decision-making (lOFC), action selection (cACC), and attentional processes (dlPFC) might result in greater integration of these subregions with other neural networks, greater attention to salient negative external cues, thus higher NE and/or lower PE. These findings provide potential infant cortical markers of future psychopathology risk.
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Affiliation(s)
- Yicheng Zhang
- University of Pittsburgh Swanson School of Engineering, Department of Bioengineering, Pittsburgh, PA.
| | - Layla Banihashemi
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Amelia Versace
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Alyssa Samolyk
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Megan Taylor
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Gabrielle English
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Vanessa J Schmithorst
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Vincent K Lee
- University of Pittsburgh Swanson School of Engineering, Department of Bioengineering, Pittsburgh, PA; UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Richelle Stiffler
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Haris Aslam
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Ashok Panigrahy
- UPMC Children's Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Alison E Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Mary L Phillips
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
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Wu Y, De Asis-Cruz J, Limperopoulos C. Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy. Mol Psychiatry 2024:10.1038/s41380-024-02449-0. [PMID: 38418579 DOI: 10.1038/s41380-024-02449-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 01/19/2024] [Accepted: 01/23/2024] [Indexed: 03/01/2024]
Abstract
In-utero exposure to maternal psychological distress is increasingly linked with disrupted fetal and neonatal brain development and long-term neurobehavioral dysfunction in children and adults. Elevated maternal psychological distress is associated with changes in fetal brain structure and function, including reduced hippocampal and cerebellar volumes, increased cerebral cortical gyrification and sulcal depth, decreased brain metabolites (e.g., choline and creatine levels), and disrupted functional connectivity. After birth, reduced cerebral and cerebellar gray matter volumes, increased cerebral cortical gyrification, altered amygdala and hippocampal volumes, and disturbed brain microstructure and functional connectivity have been reported in the offspring months or even years after exposure to maternal distress during pregnancy. Additionally, adverse child neurodevelopment outcomes such as cognitive, language, learning, memory, social-emotional problems, and neuropsychiatric dysfunction are being increasingly reported after prenatal exposure to maternal distress. The mechanisms by which prenatal maternal psychological distress influences early brain development include but are not limited to impaired placental function, disrupted fetal epigenetic regulation, altered microbiome and inflammation, dysregulated hypothalamic pituitary adrenal axis, altered distribution of the fetal cardiac output to the brain, and disrupted maternal sleep and appetite. This review will appraise the available literature on the brain structural and functional outcomes and neurodevelopmental outcomes in the offspring of pregnant women experiencing elevated psychological distress. In addition, it will also provide an overview of the mechanistic underpinnings of brain development changes in stress response and discuss current treatments for elevated maternal psychological distress, including pharmacotherapy (e.g., selective serotonin reuptake inhibitors) and non-pharmacotherapy (e.g., cognitive-behavior therapy). Finally, it will end with a consideration of future directions in the field.
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Affiliation(s)
- Yao Wu
- Developing Brain Institute, Children's National Hospital, Washington, DC, 20010, USA
| | | | - Catherine Limperopoulos
- Developing Brain Institute, Children's National Hospital, Washington, DC, 20010, USA.
- Department of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, DC, 20010, USA.
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Li S, Zhuo Z, Li R, Guo K. Efficacy of esketamine for the treatment of postpartum depression and pain control following cesarean section: a randomized, double-blind, controlled clinical trial. BMC Anesthesiol 2024; 24:52. [PMID: 38321436 PMCID: PMC10845461 DOI: 10.1186/s12871-024-02436-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 01/27/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Postpartum depression (PPD) following a cesarean delivery is a frequently seen complication. Despite the prophylactic effects of ketamine, the impact of esketamine on PPD in women undergoing cesarean section remains uncertain. This study aimed to assess the effectiveness of esketamine as an adjunct to patient-controlled intravenous analgesia (PCIA) in preventing PPD in women undergoing caesarean section. METHODS A total of 275 parturients undergoing caesarean section and subsequent patient-controlled intravenous analgesia (PCIA) were randomly assigned to receive either the control treatment (sufentanil 2 µg/kg + tropisetron 10 mg) or the experimental treatment with additional esketamine (1.5 mg/kg). The primary outcome measured was the incidence of postpartum depression (PPD), classified by Edinburgh Postnatal Depression Scale (EPDS) scores equal to or greater than 13 indicating PPD. Secondary outcomes included cumulative sufentanil consumption during specific time periods (0-24 h, 24-48 h, and 0-48 h) after the surgical procedure and numerical rating scale (NRS) scores at rest and during movements. RESULTS The final analysis included a total of 246 postpartum women who had undergone caesarean delivery. On postoperative day 42, the incidence of depression among the control group was 17.6%, which was significantly higher compared to the esketamine group with a rate of 8.2% (P = 0.02). The EPDS scores also showed a significant difference between the two groups, with a mean score of 9.02 ± 2.21 in the control group and 6.87 ± 2.14 in the esketamine group (p < 0.0001). In terms of pain management, the esketamine group showed lower sufentanil consumption in the 0-24 h (42.5 ± 4.58 µg vs. 50.15 ± 5.47 µg, P = 0.04) and 0-48 h (87.40 ± 9.51 µg vs. 95.10 ± 9.36 µg, P = 0.04) postoperative periods compared to the control group. Differences in movement were also observed between the two groups at 24 and 48 h after the cesarean Sect. (3.39 ± 1.57 vs. 4.50 ± 0.80, P = 0.02; 2.43 ± 0.87 vs. 3.56 ± 0.76, P = 0.02). It is worth noting that the frequency of side effects observed in both groups was comparable. CONCLUSIONS Esketamine at a dose of 1.5 mg/kg, when used as a supplement in PCIA, has been shown to significantly reduce the occurrence of PPD within 42 days. Additionally, it has been found to decrease cumulative consumption of sufentanil over a 48-hour period following cesarean operation, all without increasing the rate of adverse effects. TRIAL REGISTRATION Registered in the Chinese Clinical Trial Registry (ChiCTR2200067054) on December 26, 2022.
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Affiliation(s)
- Shurong Li
- Department of anesthesiology, The First Hospital of Putian City, Putian, Fujian, China
| | - Zhifang Zhuo
- Department of anesthesiology, The First Hospital of Putian City, Putian, Fujian, China
| | - Renwei Li
- Department of anesthesiology, The First Hospital of Putian City, Putian, Fujian, China
| | - Kaikai Guo
- Department of pain medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
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Koc D, El Marroun H, Stricker BH, Muetzel RL, Tiemeier H. Intrauterine Exposure to Antidepressants or Maternal Depressive Symptoms and Offspring Brain White Matter Trajectories From Late Childhood to Adolescence. Biol Psychiatry Cogn Neurosci Neuroimaging 2024; 9:217-226. [PMID: 37926188 DOI: 10.1016/j.bpsc.2023.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND During pregnancy, both selective serotonin reuptake inhibitor (SSRI) exposure and maternal depression have been associated with poor offspring neurodevelopmental outcomes. In a population-based cohort, we investigated the association between intrauterine exposure to SSRIs and depressive symptoms and offspring white matter development from childhood to adolescence. METHODS Self-reported SSRI use was verified by pharmacy records. In midpregnancy, women reported on depressive symptoms using the Brief Symptom Inventory. Using diffusion tensor imaging, offspring white matter microstructure, including whole-brain and tract-specific fractional anisotropy (FA) and mean diffusivity, was measured at 3 assessments between ages 7 to 15 years. The participants were divided into 4 groups: prenatal SSRI exposure (n = 37 with 60 scans), prenatal depression exposure (n = 229 with 367 scans), SSRI use before pregnancy (n = 72 with 95 scans), and reference (n = 2640 with 4030 scans). RESULTS Intrauterine exposure to SSRIs and depressive symptoms were associated with lower FA in the whole-brain and the forceps minor at 7 years. Exposure to higher prenatal depressive symptom scores was associated with lower FA in the uncinate fasciculus, cingulum bundle, superior and inferior longitudinal fasciculi, and corticospinal tracts. From ages 7 to 15 years, children exposed to prenatal depressive symptoms showed a faster increase in FA in these white matter tracts. Prenatal SSRI exposure was not related to white matter microstructure growth over and above exposure to depressive symptoms. CONCLUSIONS These results suggest that prenatal exposure to maternal depressive symptoms was negatively associated with white matter microstructure in childhood, but these differences attenuated during development, suggesting catch-up growth.
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Affiliation(s)
- Dogukan Koc
- Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioral Science, Erasmus University Rotterdam, Rotterdam, the Netherlands.
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Kumpulainen V, Copeland A, Pulli EP, Silver E, Kataja EL, Saukko E, Merisaari H, Lewis JD, Karlsson L, Karlsson H, Tuulari JJ. Prenatal and Postnatal Maternal Depressive Symptoms Are Associated With White Matter Integrity in 5-Year-Olds in a Sex-Specific Manner. Biol Psychiatry 2023; 94:924-935. [PMID: 37220833 DOI: 10.1016/j.biopsych.2023.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 04/18/2023] [Accepted: 05/14/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND Prenatal and postnatal maternal psychological distress predicts various detrimental consequences on social, behavioral, and cognitive development of offspring, especially in girls. Maturation of white matter (WM) continues from prenatal development into adulthood and is thus susceptible to exposures both before and after birth. METHODS WM microstructural features of 130 children (mean age, 5.36 years; range, 5.04-5.79 years; 63 girls) and their association with maternal prenatal and postnatal depressive and anxiety symptoms were investigated with diffusion tensor imaging, tract-based spatial statistics, and regression analyses. Maternal questionnaires were collected during first, second, and third trimesters and at 3, 6, and 12 months postpartum with the Edinburgh Postnatal Depression Scale (EPDS) for depressive symptoms and Symptom Checklist-90 for general anxiety. Covariates included child's sex; child's age; maternal prepregnancy body mass index; maternal age; socioeconomic status; and exposures to smoking, selective serotonin reuptake inhibitors, and synthetic glucocorticoids during pregnancy. RESULTS Prenatal second-trimester EPDS scores were positively associated with fractional anisotropy in boys (p < .05, 5000 permutations) after controlling for EPDS scores 3 months postpartum. In contrast, postpartum EPDS scores at 3 months correlated negatively with fractional anisotropy (p < .01, 5000 permutations) in widespread areas only in girls after controlling for prenatal second-trimester EPDS scores. Perinatal anxiety was not associated with WM structure. CONCLUSIONS These results suggest that prenatal and postnatal maternal psychological distress is associated with brain WM tract developmental alterations in a sex- and timing-dependent manner. Future studies including behavioral data are required to consolidate associative outcomes for these alterations.
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Affiliation(s)
- Venla Kumpulainen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland.
| | - Anni Copeland
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Elmo P Pulli
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Eero Silver
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Eeva-Leena Kataja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Ekaterina Saukko
- Department of Radiology, Turku University Hospital, Turku, Finland
| | - Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland; Department of Radiology, Turku University Hospital, Turku, Finland
| | - John D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland; Department of Clinical Medicine, Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland; Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland; Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland; Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland; Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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Pulli EP, Nolvi S, Eskola E, Nordenswan E, Holmberg E, Copeland A, Kumpulainen V, Silver E, Merisaari H, Saunavaara J, Parkkola R, Lähdesmäki T, Saukko E, Kataja E, Korja R, Karlsson L, Karlsson H, Tuulari JJ. Structural brain correlates of non-verbal cognitive ability in 5-year-old children: Findings from the FinnBrain birth cohort study. Hum Brain Mapp 2023; 44:5582-5601. [PMID: 37606608 PMCID: PMC10619410 DOI: 10.1002/hbm.26463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/03/2023] [Accepted: 08/08/2023] [Indexed: 08/23/2023] Open
Abstract
Non-verbal cognitive ability predicts multiple important life outcomes, for example, school and job performance. It has been associated with parieto-frontal cortical anatomy in prior studies in adult and adolescent populations, while young children have received relatively little attention. We explored the associations between cortical anatomy and non-verbal cognitive ability in 165 5-year-old participants (mean scan age 5.40 years, SD 0.13; 90 males) from the FinnBrain Birth Cohort study. T1-weighted brain magnetic resonance images were processed using FreeSurfer. Non-verbal cognitive ability was measured using the Performance Intelligence Quotient (PIQ) estimated from the Block Design and Matrix Reasoning subtests from the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III). In vertex-wise general linear models, PIQ scores associated positively with volumes in the left caudal middle frontal and right pericalcarine regions, as well as surface area in left the caudal middle frontal, left inferior temporal, and right lingual regions. There were no associations between PIQ and cortical thickness. To the best of our knowledge, this is the first study to examine structural correlates of non-verbal cognitive ability in a large sample of typically developing 5-year-olds. The findings are generally in line with prior findings from older age groups, with the important addition of the positive association between volume / surface area in the right medial occipital region and non-verbal cognitive ability. This finding adds to the literature by discovering a new brain region that should be considered in future studies exploring the role of cortical structure for cognitive development in young children.
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Affiliation(s)
- Elmo P. Pulli
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Saara Nolvi
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Turku Institute for Advanced Studies, Department of Psychology and Speech‐Language PathologyUniversity of TurkuTurkuFinland
| | - Eeva Eskola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychologyUniversity of TurkuTurkuFinland
| | - Elisabeth Nordenswan
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Eeva Holmberg
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Anni Copeland
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Venla Kumpulainen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Eero Silver
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of RadiologyUniversity of TurkuTurkuFinland
| | - Jani Saunavaara
- Department of Medical PhysicsTurku University Hospital and University of TurkuTurkuFinland
| | - Riitta Parkkola
- Department of RadiologyUniversity of TurkuTurkuFinland
- Department of RadiologyTurku University HospitalTurkuFinland
| | - Tuire Lähdesmäki
- Pediatric Neurology, Department of Pediatrics and Adolescent MedicineTurku University Hospital and University of TurkuTurkuFinland
| | | | - Eeva‐Leena Kataja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
| | - Riikka Korja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychologyUniversity of TurkuTurkuFinland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of Pediatrics and Adolescent MedicineTurku University Hospital and University of TurkuTurkuFinland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychiatryTurku University Hospital and University of TurkuTurkuFinland
| | - Jetro J. Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchTurku University Hospital and University of TurkuTurkuFinland
- Department of PsychiatryTurku University Hospital and University of TurkuTurkuFinland
- Turku Collegium for Science, Medicine and TechnologyUniversity of TurkuTurkuFinland
- Department of PsychiatryUniversity of OxfordOxfordUK
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9
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Koc D, Tiemeier H, Stricker BH, Muetzel RL, Hillegers M, El Marroun H. Prenatal Antidepressant Exposure and Offspring Brain Morphologic Trajectory. JAMA Psychiatry 2023; 80:1208-1217. [PMID: 37647036 PMCID: PMC10469300 DOI: 10.1001/jamapsychiatry.2023.3161] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 06/13/2023] [Indexed: 09/01/2023]
Abstract
Importance Clinical decision-making on antidepressant treatment during pregnancy, particularly selective serotonin reuptake inhibitors (SSRIs), is challenging, as both prenatal SSRI exposure and maternal depressive symptoms may be associated with negative outcomes in offspring. Objective To investigate the association between intrauterine SSRI exposure and maternal depressive symptoms and structural brain development in offspring from mid-childhood to early puberty. Design, Setting, and Participants This prospective, population-based cohort study was embedded in the Generation R Study in Rotterdam, the Netherlands. All pregnant individuals with an expected delivery date between April 1, 2002, and January 31, 2006, were invited to participate. Data were analyzed from February 1 to September 30, 2022. Exposure Maternal-reported SSRI use verified by pharmacy records. In mid-pregnancy and 2 and 6 months after delivery, participants reported depressive symptoms using the Brief Symptom Inventory and were divided into 5 groups: SSRI use during pregnancy (n = 41; 80 scans), SSRI use only before pregnancy (n = 77; 126 scans), prenatal depressive symptoms without prenatal SSRI use (n = 257; 477 scans), postnatal depressive symptoms only (n = 74; 128 scans), and nonexposed control individuals (n = 2749; 4813 scans). Main Outcomes and Measures The main outcome was brain morphometry in offspring, including global and cortical brain volumes, measured at 3 magnetic resonance imaging assessments from 7 to 15 years of age. Results The study included 3198 mother-child dyads. A total of 3198 mothers (100%) identified as women; mean (SD) age at intake was 31.1 (4.7) years. Children (1670 [52.2%] female) underwent brain imaging assessment from 7 to 15 years of age with 5624 total scans. Most brain gray matter volumes showed an inverted U-shaped trajectory. Compared with nonexposed controls, children prenatally exposed to SSRIs had less cerebral gray matter (β [SE], -20 212.2 [7285.6] mm3; P = .006), particularly within the corticolimbic circuit, which persisted up to 15 years of age. Children exposed to SSRIs prenatally showed a steeper increase in volumes of the amygdala (age interaction: β [SE], 43.3 [13.4] mm3; P = .006) and fusiform gyrus (age interaction: β [SE], 168.3 [51.4] mm3; P = .003) from 7 to 15 years of age. These volumetric differences in the amygdala and fusiform observed in childhood did not persist until early adolescence. Prenatal depression was associated with a smaller volume in the rostral anterior cingulate gyrus (β [SE], -166.3 [65.1] mm3; P = .006), and postnatal depression was associated with a reduced fusiform gyrus (β [SE], -480.5 [189.2] mm3; P = .002). No association of SSRI use before pregnancy with brain outcomes was observed. Conclusions and Relevance The results of this cohort study suggest that prenatal SSRI exposure may be associated with altered developmental trajectories of brain regions involved in emotional regulation in offspring. Further research on the functional implications of these findings is needed.
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Affiliation(s)
- Dogukan Koc
- Generation R Study Group, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Bruno H. Stricker
- Department of Epidemiology, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Ryan L. Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam, the Netherlands
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10
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Gredebäck G, Dorji N, Sen U, Nyström P, Hellberg J, Wangchuk. Context dependent cognitive development in Bhutanese children. Sci Rep 2023; 13:19875. [PMID: 37963958 PMCID: PMC10645759 DOI: 10.1038/s41598-023-47254-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/10/2023] [Indexed: 11/16/2023] Open
Abstract
We assessed risk/protective factors for cognitive development of Bhutanese children (504 3-5 year-olds, 49% girls, major ethnicities Ngalop 26%, Tshangla 30%, Lhotsampa 34%) using a non-verbal test of cognitive capacity (SON-R) and primary caregiver interviews. Cognitive capacity was related to the family's SES and whether the family belonged to the primary Buddhist majority ethnic groups (Ngalop or Tshangla) or primarily Hindu minorities (Lhotsampa). In majority families more engagement in Buddhist practices was associated with higher cognitive capacity in children. Minority children were more impacted by parents autonomous-relatedness values. Results demonstrate that cognitive development is dependent on the financial and educational context of the family, societal events, and culture specific risk/protective factors that differ across sub-groups (majority/minority, culture/religion).
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Affiliation(s)
| | - Nidup Dorji
- Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan
| | - Umay Sen
- Uppsala University, Uppsala, Sweden
| | | | | | - Wangchuk
- Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan
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11
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Yang SQ, Zhou YY, Yang ST, Mao XY, Chen L, Bai ZH, Ping AQ, Xu SY, Li QW, Gao K, Wang SY, Duan KM. Effects of different doses of esketamine intervention on postpartum depressive symptoms in cesarean section women: A randomized, double-blind, controlled clinical study. J Affect Disord 2023; 339:333-341. [PMID: 37442447 DOI: 10.1016/j.jad.2023.07.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 06/02/2023] [Accepted: 07/08/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND The optimal dosage and method of esketamine for postpartum depressive symptoms (PDS) are unclear. We conducted a randomized controlled trial (RCT) to investigate the effect of different doses of esketamine on PDS in women undergoing cesarean section, with evidence of prenatal depression. METHODS The three groups were high- (2 mg kg-1) and low-dose (1 mg kg-1) esketamine via patient controlled intravenous analgesia (PCIA), following an initial intravenous infusion of 0.25 mg kg-1 esketamine, compared to placebo (0.9 % saline infusion). All groups also received the sufentanil (2.2 μg kg-1). The primary outcome was the incidence of PDS at 7 and 42 days postpartum. The secondary outcomes were: the remission from depression and total EPDS scores at 7 days and 42 days postpartum; mean change from baseline in the EPDS score; postoperative analgesia. RESULTS i). 0.25 mg kg-1 of esketamine intravenous infusion combined with 1 mg kg-1 (n = 99) or 2 mg kg-1 (n = 99) esketamine PCIA reduces PDS incidence at 7 days postpartum (p < 0.05), with high-dose esketamine PCIA also reduces PDS incidence 42 days postpartum (p < 0.05), compared to placebo (n = 97). ii). Low- and high-dose esketamine PCIA lowers NRS scores at rest within 48 h postoperatively (p < 0.01), with high-dose esketamine also reducing the NRS score during movement at 48 h postoperatively (p = 0.018). iii). Neither high- nor low-dose esketamine PCIA increased postoperative adverse reactions (p > 0.05). CONCLUSIONS Esketamine (0.25 mg kg-1) intravenous infusion combined with 1 mg kg-1 or 2 mg kg-1 esketamine PCIA seems safe and with few adverse effects in the management of PDS and pain in women undergoing cesarean section. LIMITATIONS The tolerability and safety of esketamine requires further investigation based on more specific scales; the transient side effects of esketamine could have biased the staff and patients. TRIAL REGISTRATION ChiCTR-ROC-2000039069.
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Affiliation(s)
- Si Qi Yang
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Ying Yong Zhou
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Shu Ting Yang
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Xiao Yuan Mao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha, China
| | - Liang Chen
- Department of Anesthesiology, The Maternal and Child Health Hospital of the Hu Nan Province, Changsha, China
| | - Zhi Hong Bai
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - An Qi Ping
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Shou Yu Xu
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Qiu Wen Li
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Kai Gao
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Sai Ying Wang
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China.
| | - Kai Ming Duan
- Department of Anesthesiology, Third Xiangya Hospital of Central South University, Changsha, China.
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12
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Kemp J, Chenji S, MacMaster F, Bray S, Kopala-Sibley DC. Associations between parental depression and anxiety symptom severity and their Offspring's cortical thickness and subcortical volume. J Psychiatr Res 2023; 166:139-146. [PMID: 37774665 DOI: 10.1016/j.jpsychires.2023.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 07/13/2023] [Accepted: 09/15/2023] [Indexed: 10/01/2023]
Abstract
Depression and anxiety are associated with grey matter changes in subcortical regions in adults and adolescents. Parent psychopathology is associated with offspring brain structure, but it's unclear whether altered brain structure in children is associated with severity of parental depression and anxiety symptoms. We examined 123 youth (Mean age = 13.64; 62% female) with no clinically significant history of depression or anxiety and one parent diagnosed with current or past depressive or anxiety disorders. Parents completed the Mini International Neuropsychiatric Interview to assess diagnostic status and the Beck Depression Inventory-II, and the Generalized Anxiety Disorder-7 to assess current symptom severity. Youth underwent T1 weighted structural Magnetic Resonance Imaging scans. Bivariate analyses revealed higher parental depressive severity was not significantly associated with offspring grey matter. Parental anxiety severity was significantly associated with less left global surface area. When controlling for offspring age, sex and intracranial volume (ICV), offspring right surface area was negatively associated with parental depressive severity at a trend level. In previously depressed parents, greater parental depressive severity was significantly associated with offspring decreased left and right surface area. There were no significant associations between parental anxiety severity in previously depressed parents and offspring subcortical or cortical brain regions. These results highlight associations between parental depressive symptom severity and offspring brain structure and suggest that even within an already high-risk group of adolescents, there may be altered cortical surface area depending on parent symptom severity. This may help identify youth most at risk for developing a mood disorder and could help further early intervention and identification efforts.
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Affiliation(s)
- Jennifer Kemp
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada.
| | - Sneha Chenji
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
| | - Frank MacMaster
- IWK Health, Halifax, NS, Canada; Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Signe Bray
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
| | - Daniel C Kopala-Sibley
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
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13
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Higgins NE, Rose MJ, Gardner TJ, Crawford JN. Perinatal Depression Treatment Guidelines for Obstetric Providers. Obstet Gynecol Clin North Am 2023; 50:589-607. [PMID: 37500219 DOI: 10.1016/j.ogc.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Perinatal depression is the occurrence of depressive symptoms during the antenatal or postnatal period with an annual incidence of 10% to 20%. The consequences of untreated perinatal depression are significant and include negative impacts on maternal health, pregnancy outcomes, and maternal-infant outcomes. The purpose of this article is to provide perinatal pharmacologic and psychological treatment information to help first-line providers more confidently manage depression in the perinatal period. Treatment strategies including medication management using risk versus risk conversations, psychotherapy, and colocated perinatal mental health clinics are discussed.
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Affiliation(s)
- Nina E Higgins
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, 2400 Tucker Avenue N.E., 1 University of New Mexico, MSC09-5030, Albuquerque, NM 87131, USA; Department of Obstetrics and Gynecology, University of New Mexico, 2400 Tucker Avenue N.E., 1, MSC09-5030, Albuquerque, NM 87131, USA.
| | - Marquette J Rose
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, 2400 Tucker Avenue N.E., 1 University of New Mexico, MSC09-5030, Albuquerque, NM 87131, USA
| | - Tamara J Gardner
- Perinatal Associates of New Mexico, 201 Cedar SE, Suite 405 Albuquerque, NM 87106, USA
| | - Jennifer N Crawford
- Department of Psychiatry & Behavioral Sciences, University of New Mexico, 2400 Tucker Avenue N.E., 1 University of New Mexico, MSC09-5030, Albuquerque, NM 87131, USA; Department of Obstetrics and Gynecology, University of New Mexico, 2400 Tucker Avenue N.E., 1, MSC09-5030, Albuquerque, NM 87131, USA
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14
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Mangin-Heimos KS, Strube M, Taylor K, Galbraith K, O’Brien E, Rogers C, Lee CK, Ortinau C. Trajectories of Maternal and Paternal Psychological Distress After Fetal Diagnosis of Moderate-Severe Congenital Heart Disease. J Pediatr Psychol 2023; 48:305-316. [PMID: 35976135 PMCID: PMC10118854 DOI: 10.1093/jpepsy/jsac067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 07/18/2022] [Accepted: 07/23/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The aim of this study was to compare trajectories of maternal and paternal psychological distress after prenatal diagnosis of fetal moderate-severe congenital heart disease (CHD), from pregnancy through early-mid infancy. METHODS Pregnant women who received a prenatal diagnosis of fetal moderate-severe CHD, and their partners, were enrolled in a prospective, longitudinal study. Symptoms of psychological distress were measured twice during pregnancy and twice after birth, using the Depression Anxiety Stress Scales (DASS-42). Patterns and predictors of psychological distress were examined using generalized hierarchical linear modeling. RESULTS Psychological distress was present in 42% (18/43) of mothers and 22% (8/36) of fathers at least once during the study. The rates of distress did not differ between mothers and fathers. There was also no change in probability of distress over time or difference in distress trajectories between mothers and fathers. However, individual trajectories demonstrated considerable variability in symptoms for both mothers and fathers. Predictors of psychological distress included low social support for mothers and a history of mental health conditions for fathers. CONCLUSIONS Parents who receive a prenatal diagnosis of fetal CHD commonly report symptoms of psychological distress from the time of diagnosis through early-mid infancy and display highly variable trajectories. These data suggest that early and repeated psychological screening is important once a fetal CHD diagnosis is made and that providing mental health and social support to parents may be an important component of their ongoing care.
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Affiliation(s)
- Kathryn S Mangin-Heimos
- Department of Psychological and Brain Sciences, Washington University in St. Louis, USA
- Department of Pediatrics, Washington University in St. Louis, USA
| | - Michael Strube
- Department of Psychological and Brain Sciences, Washington University in St. Louis, USA
| | - Kaylin Taylor
- Department of Pediatrics, Washington University in St. Louis, USA
| | | | - Erin O’Brien
- Department of Pediatrics, Washington University in St. Louis, USA
| | - Cynthia Rogers
- Department of Psychiatry, Washington University in St. Louis, USA
| | - Caroline K Lee
- Department of Pediatrics, Washington University in St. Louis, USA
| | - Cynthia Ortinau
- Department of Pediatrics, Washington University in St. Louis, USA
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15
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Donnici C, Long X, Reynolds J, Giesbrecht GF, Dewey D, Letourneau N, Huo Y, Landman B, Lebel C. Prenatal depressive symptoms and childhood development of brain limbic and default mode network structure. Hum Brain Mapp 2023; 44:2380-2394. [PMID: 36691973 PMCID: PMC10028635 DOI: 10.1002/hbm.26216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/20/2022] [Accepted: 01/04/2023] [Indexed: 01/25/2023] Open
Abstract
Prenatal depressive symptoms are linked to negative child behavioral and cognitive outcomes and predict later psychopathology in adolescent children. Prior work links prenatal depressive symptoms to child brain structure in regions like the amygdala; however, the relationship between symptoms and the development of brain structure over time remains unclear. We measured maternal depressive symptoms during pregnancy and acquired longitudinal T1-weighted and diffusion imaging data in children (n = 111; 60 females) between 2.6 and 8 years of age. Controlling for postnatal symptoms, we used linear mixed effects models to test relationships between prenatal depressive symptoms and age-related changes in (i) amygdala and hippocampal volume and (ii) structural properties of the limbic and default-mode networks using graph theory. Higher prenatal depressive symptoms in the second trimester were associated with more curvilinear trajectories of left amygdala volume changes. Higher prenatal depressive symptoms in the third trimester were associated with slower age-related changes in limbic global efficiency and average node degree across childhood. Our work provides evidence that moderate symptoms of prenatal depression in a low sociodemographic risk sample are associated with structural brain development in regions and networks implicated in emotion processing.
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Affiliation(s)
- Claire Donnici
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Xiangyu Long
- Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Jess Reynolds
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Gerald F Giesbrecht
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Deborah Dewey
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Calgary, Alberta, Canada
| | - Nicole Letourneau
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Yuankai Huo
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA
| | - Bennett Landman
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA
| | - Catherine Lebel
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Calgary, Alberta, Canada
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16
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Burkhouse KL, Kujawa A. Annual Research Review: Emotion processing in offspring of mothers with depression diagnoses - a systematic review of neural and physiological research. J Child Psychol Psychiatry 2023; 64:583-607. [PMID: 36511171 DOI: 10.1111/jcpp.13734] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Theories of the intergenerational transmission of depression emphasize alterations in emotion processing among offspring of depressed mothers as a key risk mechanism, raising questions about biological processes contributing to these alterations. The objective of this systematic annual research review was to examine and integrate studies of the associations between maternal depression diagnoses and offspring's emotion processing from birth through adolescence across biological measures including autonomic psychophysiology, electroencephalography (EEG), magnetoencephalography (MEG), event-related potentials (ERP), and structural and functional magnetic resonance imaging (MRI). METHODS The review was conducted in accordance with the PRISMA 2020 standards. A systematic search was conducted in PsycInfo and PubMed in 2022 for studies that included, 1) mothers with and without DSM-defined depressive disorders assessed via a clinical or diagnostic interview, and 2) measures of offspring emotion processing assessed at the psychophysiological or neural level between birth and 18 years of age. RESULTS Findings from 64 studies indicated that young offspring of mothers with depression histories exhibit heightened corticolimbic activation to negative emotional stimuli, reduced left frontal brain activation, and reduced ERP and mesocorticolimbic responses to reward cues compared to offspring of never-depressed mothers. Further, activation of resting-state networks involved in affective processing differentiate offspring of depressed relative to nondepressed mothers. Some of these alterations were only apparent among youth of depressed mothers exposed to negative environmental contexts or exhibiting current emotional problems. Further, some of these patterns were observable in infancy, reflecting very early emerging vulnerabilities. CONCLUSIONS This systematic review provides evidence that maternal depression is associated with alterations in emotion processing across several biological units of analysis in offspring. We present a preliminary conceptual model of the role of deficient emotion processing in pathways from maternal depression to offspring psychopathology and discuss future research avenues addressing limitations of the existing research and clinical implications.
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Affiliation(s)
- Katie L Burkhouse
- The Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.,Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Autumn Kujawa
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
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17
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Pellowski JA, Wedderburn CJ, Groenewold NA, Roos A, Subramoney S, Hoffman N, Fouche JP, Joshi SH, Woods RP, Narr KL, Zar HJ, Donald KA, Stein DJ. Maternal perinatal depression and child brain structure at 2-3 years in a South African birth cohort study. Transl Psychiatry 2023; 13:96. [PMID: 36941258 PMCID: PMC10027817 DOI: 10.1038/s41398-023-02395-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/24/2023] [Accepted: 03/03/2023] [Indexed: 03/23/2023] Open
Abstract
Maternal perinatal depression is associated with risk of adverse child developmental outcomes and differences in offspring brain structure. Evidence from low- and middle-income countries is lacking as is an investigation of antenatal, postnatal, and persistent depression in the same sample. In a South African birth cohort, we investigated the effect of antenatal and postpartum maternal depressive symptoms on offspring brain structure at 2-3 years of age. Magnetic resonance imaging was performed, extracting cortical thickness and surface areas in frontal cortex regions of interest and subcortical volumes using FreeSurfer software. Maternal depressive symptoms were measured using the Edinburgh Postpartum Depression Scale and the Beck Depression Inventory II antenatally and at 6-10 weeks, 6 months, 12 months, and 18 months postpartum and analyzed dichotomously and continuously. Linear regressions were used controlling for child age, sex, intracranial volume, maternal education, age, smoking, alcohol use and HIV. 146 children were included with 38 (37%) exposed to depressive symptoms antenatally and 44 (35%) exposed postnatally. Of these, 16 (13%) were exposed to both. Postpartum, but not antenatal, depressive symptoms were associated with smaller amygdala volumes in children (B = -74.73, p = 0.01). Persistent maternal depressive symptoms across pregnancy and postpartum were also independently associated with smaller amygdala volumes (B = -78.61, p = 0.047). Differences in amygdala volumes among children exposed to postnatal as well as persistent maternal depressive symptomatology underscore the importance of identifying women at-risk for depression during the entire perinatal period.
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Affiliation(s)
- Jennifer A Pellowski
- Department of Behavioral and Social Sciences and International Health Institute, Brown University School of Public Health, Providence, RI, USA.
- Division of Epidemiology and Biostatistics, University of Cape Town School of Public Health and Family Medicine, Cape Town, SA, South Africa.
| | - Catherine J Wedderburn
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, England
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
| | - Nynke A Groenewold
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
| | - Annerine Roos
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
| | - Sivenesi Subramoney
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
| | - Nadia Hoffman
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
| | - Jean-Paul Fouche
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
| | - Shantanu H Joshi
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Roger P Woods
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Katherine L Narr
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Child and Adolescent Health, University of Cape Town, Cape Town, SA, South Africa
| | - Kirsten A Donald
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
| | - Dan J Stein
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
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18
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Osuna E, Symington EA, Malan L, Ricci C, Zandberg L, Smuts CM, Baumgartner J. Higher n-3 polyunsaturated fatty acid status during early pregnancy is associated with lower risk for depression at 12 months postpartum: The NuPED study. Prostaglandins Leukot Essent Fatty Acids 2023; 190:102528. [PMID: 36716632 DOI: 10.1016/j.plefa.2022.102528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 11/30/2022] [Accepted: 12/23/2022] [Indexed: 01/15/2023]
Abstract
Perinatal depression can negatively affect the health of the mother and her offspring. N-3 polyunsaturated fatty acids (PUFA) may play a role in the aetiology of depression. Therefore, we investigated the association of n-3 PUFA status during early pregnancy with perinatal depression among women living in urban Johannesburg, South Africa. For this prospective analysis, we analysed red blood cell (RBC) total phospholipid fatty acid (FA) composition (% of total FA) of 242 pregnant women at <18 weeks' gestation. We used the Edinburgh Postnatal Depression Scale (EPDS) to identify women at risk for depression (EPDS score ≥9) at <18, 22 and 36 weeks' gestation, and at 6 and 12 months postpartum. RBC EPA status was negatively (β=-0.22, p<0.05), and the AA/EPA ratio positively (β=0.24, p<0.05) associated with EPDS scores at 12 months postpartum. Higher RBC DHA and n-3 index were further associated with lower odds (OR=0.56 [95% CI: 0.32-0.91]; OR=0.63 [95% CI: 0.39-0.94]), while higher n-6/n-3 PUFA and AA/EPA ratios early in pregnancy were associated with higher odds for depression at 12 months postpartum ((OR=2.34 [95% CI: 1.12-4.97]; OR=1.02 [95% CI: 1.00-1.05]). Our results suggest that women with a higher RBC n-3 PUFA status during early pregnancy may be at lower risk for depression at 12 months postpartum.
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Affiliation(s)
- Ester Osuna
- Laboratory of Human Nutrition, Institute of Food, Nutrition and Health, ETH Zurich, Switzerland
| | - Elizabeth A Symington
- Department of Life and Consumer Sciences, University of South Africa, Johannesburg, South Africa
| | - Linda Malan
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
| | - Cristian Ricci
- Africa Unit for Transdisciplinary Health Research (AUTHER), North-West University, Potchefstroom, South Africa
| | - Lizelle Zandberg
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
| | - Cornelius M Smuts
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
| | - Jeannine Baumgartner
- Laboratory of Human Nutrition, Institute of Food, Nutrition and Health, ETH Zurich, Switzerland; Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa; Department of Nutritional Sciences, King's College London, London, United Kingdom.
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19
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Boots A, Wiegersma AM, Vali Y, van den Hof M, Langendam MW, Limpens J, Backhouse EV, Shenkin SD, Wardlaw JM, Roseboom TJ, de Rooij SR. Shaping the risk for late-life neurodegenerative disease: A systematic review on prenatal risk factors for Alzheimer's disease-related volumetric brain biomarkers. Neurosci Biobehav Rev 2023; 146:105019. [PMID: 36608918 DOI: 10.1016/j.neubiorev.2022.105019] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/08/2022] [Accepted: 12/23/2022] [Indexed: 01/05/2023]
Abstract
Environmental exposures including toxins and nutrition may hamper the developing brain in utero, limiting the brain's reserve capacity and increasing the risk for Alzheimer's disease (AD). The purpose of this systematic review is to summarize all currently available evidence for the association between prenatal exposures and AD-related volumetric brain biomarkers. We systematically searched MEDLINE and Embase for studies in humans reporting on associations between prenatal exposure(s) and AD-related volumetric brain biomarkers, including whole brain volume (WBV), hippocampal volume (HV) and/or temporal lobe volume (TLV) measured with structural magnetic resonance imaging (PROSPERO; CRD42020169317). Risk of bias was assessed using the Newcastle Ottawa Scale. We identified 79 eligible studies (search date: August 30th, 2020; Ntotal=24,784; median age 10.7 years) reporting on WBV (N = 38), HV (N = 63) and/or TLV (N = 5) in exposure categories alcohol (N = 30), smoking (N = 7), illicit drugs (N = 14), mental health problems (N = 7), diet (N = 8), disease, treatment and physiology (N = 10), infections (N = 6) and environmental exposures (N = 3). Overall risk of bias was low. Prenatal exposure to alcohol, opioids, cocaine, nutrient shortage, placental dysfunction and maternal anemia was associated with smaller brain volumes. We conclude that the prenatal environment is important in shaping the risk for late-life neurodegenerative disease.
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Affiliation(s)
- A Boots
- Amsterdam UMC location University of Amsterdam, Department of Epidemiology and Data Science, Meibergdreef 9, Amsterdam, the Netherlands; Aging and later life, Amsterdam Public Health, Amsterdam, the Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands.
| | - A M Wiegersma
- Amsterdam UMC location University of Amsterdam, Department of Epidemiology and Data Science, Meibergdreef 9, Amsterdam, the Netherlands; Aging and later life, Amsterdam Public Health, Amsterdam, the Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Y Vali
- Amsterdam UMC location University of Amsterdam, Department of Epidemiology and Data Science, Meibergdreef 9, Amsterdam, the Netherlands; Methodology, Amsterdam Public Health, Amsterdam, the Netherlands
| | - M van den Hof
- Amsterdam UMC location University of Amsterdam, Department of Epidemiology and Data Science, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - M W Langendam
- Amsterdam UMC location University of Amsterdam, Department of Epidemiology and Data Science, Meibergdreef 9, Amsterdam, the Netherlands; Methodology, Amsterdam Public Health, Amsterdam, the Netherlands
| | - J Limpens
- Amsterdam UMC location University of Amsterdam, Medical Library, Meibergdreef 9, the Netherlands
| | - E V Backhouse
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - S D Shenkin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Ageing and Health Research Group and Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh EH16 4UX, UK
| | - J M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - T J Roseboom
- Amsterdam UMC location University of Amsterdam, Department of Epidemiology and Data Science, Meibergdreef 9, Amsterdam, the Netherlands; Aging and later life, Amsterdam Public Health, Amsterdam, the Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands; Amsterdam UMC location University of Amsterdam, Department of Obstetrics and Gynecology, Meibergdreef 9, Amsterdam, the Netherlands
| | - S R de Rooij
- Amsterdam UMC location University of Amsterdam, Department of Epidemiology and Data Science, Meibergdreef 9, Amsterdam, the Netherlands; Aging and later life, Amsterdam Public Health, Amsterdam, the Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands
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20
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Schuurmans IK, Lamballais S, Zou R, Muetzel RL, Hillegers MHJ, Cecil CAM, Luik AI. 10-Year trajectories of depressive symptoms and subsequent brain health in middle-aged adults. J Psychiatr Res 2023; 158:126-133. [PMID: 36584490 DOI: 10.1016/j.jpsychires.2022.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/09/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
Depressive symptoms differ in severity and stability over time. Trajectories depicting these changes, particularly those with high late-life depressive symptoms, have been associated with poor brain health at old age. To better understand these associations across the lifespan, we examined depressive symptoms trajectories in relation to brain health in middle age. We included 1676 participants from the ORACLE Study, all were expecting a child at baseline (mean age 32.8, 66.6% women). Depressive symptoms were assessed at baseline, 3 years and 10 years after baseline. Brain health (global brain volume, subcortical structures volume, white matter lesions, cerebral microbleeds, cortical thickness, cortical surface area) was assessed 15 years after baseline. Using k-means clustering, four depressive symptoms trajectories were identified: low, low increasing, decreasing, and high increasing symptoms. The high increasing trajectory was associated with smaller brain volume compared to low symptoms, not surviving multiple testing correction. The low increasing trajectory was associated with more cortical thickness in a small region encompassing the right lateral occipital cortex compared to low symptoms. These findings show that longitudinal depressive symptoms trajectories are only minimally associated with brain health in middle age, suggesting that associations may only emerge later in life.
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Affiliation(s)
- Isabel K Schuurmans
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sander Lamballais
- Department of Clinical Genetics, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Runyu Zou
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Charlotte A M Cecil
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.
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21
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Bezanson S, Nichols ES, Duerden EG. Postnatal maternal distress, infant subcortical brain macrostructure and emotional regulation. Psychiatry Res Neuroimaging 2023; 328:111577. [PMID: 36512951 DOI: 10.1016/j.pscychresns.2022.111577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/16/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Maternal distress is associated with an increased risk for adverse emotional development in infants, including difficulties with emotion regulation. Prenatal maternal distress has been associated with alterations in infant brain development. However, less is known about these associations with postnatal maternal distress, despite this being an important modifiable risk factor that can promote healthy brain development and emotional outcomes in infants. METHODS & RESULTS Infants underwent magnetic resonance imaging (MRI) and mothers completed standardized questionnaires concerning their levels of perceived distress 2-5 months postpartum. Infant emotion regulation was assessed at 8-11 months via maternal report. When examining the associations between maternal distress and infant macrostructure, maternal anxiety was associated with infant right pallidum volumes. Increased display of negative emotions at 8-11 months of age was associated with smaller hippocampal volumes and this association was stronger in girls than boys. CONCLUSION Findings suggest that postnatal maternal distress may be associated with early infant brain development and emphasize the importance of maternal mental health, supporting previous work. Furthermore, macrostructural properties of infant subcortical structures may be further investigated as potential biomarkers to identify infants at risk of adverse emotional outcomes.
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Affiliation(s)
- Samantha Bezanson
- Neuroscience Program, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Emily S Nichols
- Applied Psychology, Faculty of Education, Western University, London, Ontario, Canada; Western Institute for Neuroscience, Western University, London, Ontario, Canada
| | - Emma G Duerden
- Neuroscience Program, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Applied Psychology, Faculty of Education, Western University, London, Ontario, Canada; Western Institute for Neuroscience, Western University, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Children's Health Research Institute, Western University, London, Ontario, Canada.
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22
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Bolhuis K, Mulder RH, de Mol CL, Defina S, Warrier V, White T, Tiemeier H, Muetzel RL, Cecil CAM. Mapping gene by early life stress interactions on child subcortical brain structures: A genome-wide prospective study. JCPP Adv 2022; 2:jcv2.12113. [PMID: 36777645 PMCID: PMC7614163 DOI: 10.1002/jcv2.12113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Although it is well-established that both genetics and the environment influence brain development, they are typically examined separately. Here, we aimed to prospectively investigate the interactive effects of genetic variants-from a genome-wide approach-and early life stress (ELS) on child subcortical brain structures, and their association with subsequent mental health problems. Method Primary analyses were conducted using data from the Generation R Study (N = 2257), including genotype and cumulative prenatal and postnatal ELS scores (encompassing life events, contextual risk, parental risk, interpersonal risk, direct victimisation). Neuroimaging data were collected at age 10 years, including intracranial and subcortical brain volumes (accumbens, amygdala, caudate, hippocampus, pallidum, putamen, thalamus). Genome-wide association and genome-wide-by-environment interaction analyses (GWEIS, run separately for prenatal/postnatal ELS) were conducted for eight brain outcomes (i.e., 24 genome-wide analyses) in the Generation R Study (discovery). Polygenic scores (PGS) using the resulting weights were calculated in an independent (target) cohort (adolescent brain cognitive development Study; N = 10,751), to validate associations with corresponding subcortical volumes and examine links to later mother-reported internalising and externalising problems. Results One GWEIS-prenatal stress locus was associated with caudate volume (rs139505895, mapping onto PRSS12 and NDST3) and two GWEIS-postnatal stress loci with the accumbens (rs2397823 and rs3130008, mapping onto CUTA, SYNGAP1, and TABP). Functional annotation revealed that these genes play a role in neuronal plasticity and synaptic function, and have been implicated in neuro-developmental phenotypes, for example, intellectual disability, autism, and schizophrenia. None of these associations survived a more stringent correction for multiple testing across all analysis sets. In the validation sample, all PGSgenotype were associated with their respective brain volumes, but no PGSGxE associated with any subcortical volume. None of the PGS associated with internalising or externalising problems. Conclusions This study lends novel suggestive insights into gene-environment interplay on the developing brain as well as pointing to promising candidate loci for future replication and mechanistic studies.
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Affiliation(s)
- Koen Bolhuis
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, The Netherlands
| | - Rosa H. Mulder
- Department of Pediatrics, Erasmus MC-Sophia, Rotterdam, The Netherlands
| | - Casper Louk de Mol
- Department of Neurology, MS Center ErasMS, Erasmus MC, Rotterdam, The Netherlands
| | - Serena Defina
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, The Netherlands
| | - Varun Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, The Netherlands,Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, The Netherlands,Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Ryan L. Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, The Netherlands
| | - Charlotte A. M. Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia, Rotterdam, The Netherlands,Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands,Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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23
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Abstract
When growing older, many people are faced with cognitive deterioration, which may even amount to a form of dementia at some point in time. Although neuropathological signs of dementia disorders can often be demonstrated in brains of patients, the degree to which clinical symptoms are present does mostly not accurately reflect the amount of neuropathology that is present. Sometimes existent pathology even goes without any obvious clinical presentation. An explanation for this phenomenon may be found in the concept of reserve capacity. Reserve capacity refers to the ability of the brain to effectively buffer changes that are associated with normal aging processes and to cope with pathological damage. A larger reserve capacity has been suggested to increase resilience against age-associated cognitive deterioration and dementia disorders. Traditionally, a division has been made between brain reserve, which is based on morphological characteristics of the brain, and cognitive reserve, which is based on functional characteristics of the brain. The present review discusses the premises that brain and cognitive reserve capacity are shaped by prenatal and early postnatal factors. Evidence is accumulating that circumstances during the first 1,000 days of life are of the utmost importance for the lifelong health of an individual. Cognitive deterioration and dementia disorders may also have their origin in early life and a potentially important pathway by which the early environment affects the risk for neurodegenerative diseases is by developmental programming of the reserve capacity of the brain. The basic idea behind developmental programming of brain and cognitive reserve is explained and an overview of studies that support this idea is presented. The review is concluded by a discussion of potential mechanisms, synthesis of the evidence and relevance and future directions in the field of developmental origins of reserve capacity.
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Affiliation(s)
- Susanne R. de Rooij
- Epidemiology and Data Science, University of Amsterdam, Amsterdam, Netherlands
- Aging and Later Life, Health Behaviors and Chronic Diseases, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
- Amsterdam Reproduction and Development, Amsterdam, Netherlands
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24
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Lu Y, Andescavage N, Wu Y, Kapse K, Andersen NR, Quistorff J, Saeed H, Lopez C, Henderson D, Barnett SD, Vezina G, Wessel D, du Plessis A, Limperopoulos C. Maternal psychological distress during the COVID-19 pandemic and structural changes of the human fetal brain. Commun Med 2022; 2. [PMID: 35647608 PMCID: PMC9135751 DOI: 10.1038/s43856-022-00111-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 04/11/2022] [Indexed: 12/12/2022] Open
Abstract
Abstract
Background
Elevated maternal psychological distress during pregnancy is linked to adverse outcomes in offspring. The potential effects of intensified levels of maternal distress during the COVID-19 pandemic on the developing fetal brain are currently unknown.
Methods
We prospectively enrolled 202 pregnant women: 65 without known COVID-19 exposures during the pandemic who underwent 92 fetal MRI scans, and 137 pre-pandemic controls who had 182 MRI scans. Multi-plane, multi-phase single shot fast spin echo T2-weighted images were acquired on a GE 1.5 T MRI Scanner. Volumes of six brain tissue types were calculated. Cortical folding measures, including brain surface area, local gyrification index, and sulcal depth were determined. At each MRI scan, maternal distress was assessed using validated stress, anxiety, and depression scales. Generalized estimating equations were utilized to compare maternal distress measures, brain volume and cortical folding differences between pandemic and pre-pandemic cohorts.
Results
Stress and depression scores are significantly higher in the pandemic cohort, compared to the pre-pandemic cohort. Fetal white matter, hippocampal, and cerebellar volumes are decreased in the pandemic cohort. Cortical surface area and local gyrification index are also decreased in all four lobes, while sulcal depth is lower in the frontal, parietal, and occipital lobes in the pandemic cohort, indicating delayed brain gyrification.
Conclusions
We report impaired fetal brain growth and delayed cerebral cortical gyrification in COVID-19 pandemic era pregnancies, in the setting of heightened maternal psychological distress. The potential long-term neurodevelopmental consequences of altered fetal brain development in COVID-era pregnancies merit further study.
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25
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Cruceanu C, Dony L, Krontira AC, Fischer DS, Roeh S, Di Giaimo R, Kyrousi C, Kaspar L, Arloth J, Czamara D, Gerstner N, Martinelli S, Wehner S, Breen MS, Koedel M, Sauer S, Sportelli V, Rex-Haffner M, Cappello S, Theis FJ, Binder EB. Cell-Type-Specific Impact of Glucocorticoid Receptor Activation on the Developing Brain: A Cerebral Organoid Study. Am J Psychiatry 2022; 179:375-387. [PMID: 34698522 DOI: 10.1176/appi.ajp.2021.21010095] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE A fine-tuned balance of glucocorticoid receptor (GR) activation is essential for organ formation, with disturbances influencing many health outcomes. In utero, glucocorticoids have been linked to brain-related negative outcomes, with unclear underlying mechanisms, especially regarding cell-type-specific effects. An in vitro model of fetal human brain development, induced human pluripotent stem cell (hiPSC)-derived cerebral organoids, was used to test whether cerebral organoids are suitable for studying the impact of prenatal glucocorticoid exposure on the developing brain. METHODS The GR was activated with the synthetic glucocorticoid dexamethasone, and the effects were mapped using single-cell transcriptomics across development. RESULTS The GR was expressed in all cell types, with increasing expression levels through development. Not only did its activation elicit translocation to the nucleus and the expected effects on known GR-regulated pathways, but also neurons and progenitor cells showed targeted regulation of differentiation- and maturation-related transcripts. Uniquely in neurons, differentially expressed transcripts were significantly enriched for genes associated with behavior-related phenotypes and disorders. This human neuronal glucocorticoid response profile was validated across organoids from three independent hiPSC lines reprogrammed from different source tissues from both male and female donors. CONCLUSIONS These findings suggest that excessive glucocorticoid exposure could interfere with neuronal maturation in utero, leading to increased disease susceptibility through neurodevelopmental processes at the interface of genetic susceptibility and environmental exposure. Cerebral organoids are a valuable translational resource for exploring the effects of glucocorticoids on early human brain development.
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Affiliation(s)
- Cristiana Cruceanu
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Leander Dony
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Anthi C Krontira
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - David S Fischer
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Simone Roeh
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Rossella Di Giaimo
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Christina Kyrousi
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Lea Kaspar
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Janine Arloth
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Darina Czamara
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Nathalie Gerstner
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Silvia Martinelli
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Stefanie Wehner
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Michael S Breen
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Maik Koedel
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Susann Sauer
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Vincenza Sportelli
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Monika Rex-Haffner
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Silvia Cappello
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Fabian J Theis
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
| | - Elisabeth B Binder
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany (Cruceanu, Dony, Krontira, Roeh, Kaspar, Arloth, Czamara, Gerstner, Martinelli, Wehner, Koedel, Sauer, Sportelli, Rex-Haffner, Binder);International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich (Dony, Krontira, Kaspar, Gerstner);Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany (Dony, Fischer, Arloth, Theis);TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany (Fischer);Max Planck Institute of Psychiatry, Munich (Di Giaimo, Kyrousi, Cappello);Department of Biology, University of Naples Federico II, Naples, Italy (Di Giaimo);First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, and University Mental Health, Neurosciences, and Precision Medicine Research Institute "Costas Stefanis," Athens, Greece (Kyrousi);Department of Psychiatry, Department of Genetics and Genomic Sciences, Seaver Autism Center for Research and Treatment, and Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York (Breen);School of Life Sciences Weihenstephan and Department of Mathematics, Technical University of Munich, Munich (Theis);Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Binder)
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Kemp JVA, Bernier E, Lebel C, Kopala-Sibley DC. Associations Between Parental Mood and Anxiety Psychopathology and Offspring Brain Structure: A Scoping Review. Clin Child Fam Psychol Rev 2022; 25:222-247. [PMID: 35201543 DOI: 10.1007/s10567-022-00393-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 12/22/2022]
Abstract
A family history of mood and anxiety disorders is one of the most well-established risk factors for these disorders in offspring. A family history of these disorders has also been linked to alterations in brain regions involved in cognitive-affective processes broadly, and mood and anxiety disorders specifically. Results from studies of brain structure of children of parents with a history of mood or anxiety disorders (high-risk offspring) have been inconsistent. We followed the PRISMA protocol to conduct a scoping review of the literature linking parental mood and anxiety disorders to offspring brain structure to examine which structures in offspring brains are linked to parental major depressive disorder (MDD), anxiety, or bipolar disorder (BD). Studies included were published in peer-reviewed journals between January 2000 and July 2021. Thirty-nine studies were included. Significant associations between parental BD and offspring caudate volume, inferior frontal gyrus thickness, and anterior cingulate cortex thickness were found. Associations were also identified between parental MDD and offspring amygdala and hippocampal volumes, fusiform thickness, and thickness in temporoparietal regions. Few studies have examined associations between parental anxiety and high-risk offspring brain structure; however, one study found associations between parental anxiety symptoms and offspring amygdala structure, and another found similar associations with the hippocampus. The direction of grey matter change across studies was inconsistent, potentially due to the large age ranges for each study and the non-linear development of the brain. Children of parents with MDD and bipolar disorders, or elevated anxiety symptoms, show alterations in a range of brain regions. Results may further efforts to identify children at high risk for affective disorders and may elucidate whether alterations in specific brain regions represent premorbid markers of risk for mood and anxiety disorders.
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Affiliation(s)
- Jennifer V A Kemp
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada. .,Hotchkiss Brain Institute, Calgary, AB, Canada. .,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada. .,Faculty of Cumming School of Medicine, University of Calgary, Foothills Hospital Teaching Research and Wellness Building, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada.
| | - Emily Bernier
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
| | - Catherine Lebel
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada.,Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Daniel C Kopala-Sibley
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
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Tremblay RE. COVID-19 preventive interventions for high-risk pregnant women and preschool children: a rehearsal for the baby boomers’ old-age pandemic? Can J Public Health 2022; 113:61-66. [PMID: 35089592 PMCID: PMC8796605 DOI: 10.17269/s41997-021-00574-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 09/08/2021] [Indexed: 11/18/2022]
Abstract
A large research-based consensus was achieved over the past 30 years concerning the importance of prenatal and early childhood development: Preventive interventions are needed early in life because physical and psychological problems during pregnancy and early childhood often lead to serious physical, psychological, educational, and social problems throughout the life course. These problems are also transmitted to the next generation. The COVID-19 pandemic is likely to have increased the number of families who need these early-life preventive interventions. Without intensive support, children from high-risk families are likely to fail in school, to have serious physical and mental health problems, and to reproduce another generation of children with similar physical, cognitive, and mental health problems. We underline the need to: (1) assess the extent of the COVID-19 damage on pregnant women and on their spouses, as well as on the families with preschool children; (2) help service providers identify the state-of-the art services they should implement; (3) assess the implementation of these services; and (4) help service providers maintain highly effective interventions. For the next 20 to 30 years at least, governments will be under intense pressure to invest massively in the health and care of the baby boomers. We are thus facing abysmal health care and retirement costs for the next 3 decades. Governments should be pressured to substantially invest in the support of pregnant women and preschool children, rather than in the sustained quality of life of the aging baby boomers.
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Affiliation(s)
- Richard E Tremblay
- Departments of Pediatrics and Psychology, University of Montreal, Montreal, QC, Canada.
- School of Public Health, University College Dublin, Dublin, Ireland.
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Rokicki S, McGovern M, Von Jaglinsky A, Reichman NE. Depression in the Postpartum Year and Life Course Economic Trajectories. Am J Prev Med 2022; 62:165-173. [PMID: 34696940 PMCID: PMC8748295 DOI: 10.1016/j.amepre.2021.08.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/02/2021] [Accepted: 08/05/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Perinatal depression affects 13% of childbearing individuals in the U.S. and has been linked to an increased risk of household economic insecurity in the short term. This study aims to assess the relationship between perinatal depression and long-term economic outcomes. METHODS This was a longitudinal analysis of a cohort of mothers from the Fragile Families and Child Wellbeing Study starting at delivery in 1998-2000 and followed until 2014-2017. Analysis was conducted in 2021. Maternal depression was assessed using the Composite International Diagnostic Interview-Short Form 1 year after childbirth, and the outcomes included measures of material hardship, household poverty, and employment. Associations between maternal depression and outcomes were analyzed using logistic regression and group-based trajectory modeling. RESULTS In total, 12.2% of the sample met the criteria for a major depressive episode 1 year after delivery. Maternal depression had a strong and sustained positive association with material hardship and not working for pay in Years 3, 5, 9, and 15 after delivery. Maternal depression also had a significant positive association with household poverty across Years 3-9 and with unemployment in Year 3. Trajectory modeling established that maternal depression was associated with an increased probability of being in a persistently high-risk trajectory for material hardship, a high-risk trajectory for household poverty, and a high-declining risk trajectory for unemployment. CONCLUSIONS Supporting perinatal mental health is crucial for strengthening the economic well-being of childbearing individuals and reducing the impact of maternal depression on intergenerational transmission of adversity.
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Affiliation(s)
- Slawa Rokicki
- From the Department of Health Behavior, Society and Policy, Rutgers School of Public Health, Piscataway, New Jersey
| | - Mark McGovern
- From the Department of Health Behavior, Society and Policy, Rutgers School of Public Health, Piscataway, New Jersey.
| | - Annette Von Jaglinsky
- From the Department of Health Behavior, Society and Policy, Rutgers School of Public Health, Piscataway, New Jersey
| | - Nancy E Reichman
- Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey; Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey; and the Department of Economics, Princeton University, Princeton, New Jersey
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Abraham E, Wang Y, Svob C, Semanek D, Gameroff MJ, Shankman SA, Weissman MM, Talati A, Posner J. Organization of the social cognition network predicts future depression and interpersonal impairment: a prospective family-based study. Neuropsychopharmacology 2022; 47:531-542. [PMID: 34162998 PMCID: PMC8674240 DOI: 10.1038/s41386-021-01065-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 05/13/2021] [Accepted: 06/02/2021] [Indexed: 02/06/2023]
Abstract
Deficits in social cognition and functioning are common in major depressive disorder (MDD). Still, no study into the pathophysiology of MDD has examined the social cognition-related neural pathways through which familial risk for MDD leads to depression and interpersonal impairments. Using resting-state fMRI, we applied a graph theoretical analysis to quantify the influence of nodes within the fronto-temporo-parietal cortical social cognition network in 108 generation 2 and generation 3 offspring at high and low-risk for MDD, defined by the presence or absence, respectively, of moderate to severe MDD in generation 1. New MDD episodes, future depressive symptoms, and interpersonal impairments were tested for associations with social cognition nodal influence, using regression analyses applied in a generalized estimating equations approach. Increased familial risk was associated with reduced nodal influence within the network, and this predicted new depressive episodes, worsening depressive symptomatology, and interpersonal impairments, 5-8 years later. Findings remained significant after controlling for current depressive/anxiety symptoms and current/lifetime MDD and anxiety disorders. Path-analysis models indicate that increased familial risk impacted offspring's brain function in two ways. First, high familial risk was indirectly associated with future depression, both new MDD episodes and symptomatology, via reduced nodal influence of the right posterior superior temporal gyrus (pSTG). Second, high familial risk was indirectly associated with future interpersonal impairments via reduced nodal influence of right inferior frontal gyrus (IFG). Finally, reduced nodal influence was associated with high familial risk in (1) those who had never had MDD at the time of scanning and (2) a subsample (n = 52) rescanned 8 years later. Together, findings reveal a potential pathway for the intergenerational transmission of vulnerability via the aberrant social cognition network organization and suggest using the connectome of neural network related to social cognition to identify intervention and prevention targets for those particularly at risk.
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Affiliation(s)
- Eyal Abraham
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
- Divisions of Translational Epidemiology and New York State Psychiatric Institute, New York, NY, USA.
| | - Yun Wang
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Child Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Connie Svob
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology and New York State Psychiatric Institute, New York, NY, USA
| | - David Semanek
- Child Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Marc J Gameroff
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology and New York State Psychiatric Institute, New York, NY, USA
| | - Stewart A Shankman
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Evanston, USA
| | - Myrna M Weissman
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology and New York State Psychiatric Institute, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ardesheer Talati
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology and New York State Psychiatric Institute, New York, NY, USA
| | - Jonathan Posner
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
- Child Psychiatry, New York State Psychiatric Institute, New York, NY, USA.
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Hoyniak C, Whalen DJ, Tillman R, Luby JL, Barch DM. Preschool sleep and depression interact to predict gray matter volume trajectories across late childhood to adolescence. Dev Cogn Neurosci 2021; 53:101053. [PMID: 34933170 DOI: 10.1016/j.dcn.2021.101053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/29/2021] [Accepted: 12/15/2021] [Indexed: 11/21/2022] Open
Abstract
There is a close relationship between sleep and depression, and certain maladaptive outcomes of sleep problems may only be apparent in individuals with heightened levels of depression. In a sample enriched for preschool depression, we examined how sleep and depression in early childhood interact to predict later trajectories of gray matter volume. Participants (N = 161) were recruited and assessed during preschool (ages 3–6 years) and were later assessed with five waves of structural brain imaging, spanning from late childhood to adolescence. Sleep and depression were assessed using a semi-structured parent interview when the children were preschool-aged, and total gray matter volume was calculated at each scan wave. Although sleep disturbances alone did not predict gray matter volume/trajectories, preschool sleep and depression symptoms interacted to predict later total gray matter volume and the trajectory of decline in total gray matter volume. Sleep disturbances in the form of longer sleep onset latencies, increased irregularity in the child’s sleep schedule, and higher levels of daytime sleepiness in early childhood were all found to interact with early childhood depression severity to predict later trajectories of cortical gray matter volume. Findings provide evidence of the interactive effects of preschool sleep and depression symptoms on later neurodevelopment.
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Cattarinussi G, Aarabi MH, Sanjari Moghaddam H, Homayoun M, Ashrafi M, Soltanian-Zadeh H, Sambataro F. Effect of parental depressive symptoms on offspring's brain structure and function: A systematic review of neuroimaging studies. Neurosci Biobehav Rev 2021; 131:451-65. [PMID: 34592256 DOI: 10.1016/j.neubiorev.2021.09.046] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/22/2021] [Accepted: 09/24/2021] [Indexed: 12/19/2022]
Abstract
Perinatal Depression (PND) is a severe mental disorder that appears during pregnancy or in the post-partum. Although PND has been associated with behavioral problems in the offspring, its effects on brain development are unclear. With this review we aimed at summarizing the existing literature on the effects of perinatal depressive symptoms on children's brains. A search on PubMed and Embase of structural, functional Magnetic Resonance Imaging (MRI) and Diffusion Tensor Imaging (DTI) studies exploring the effect of PND on offspring's brain was conducted. We selected twenty-six studies, ten structural MRI, five DTI, six fMRI and five with combined techniques. Overall, the studies showed: a) gray matter alterations in amygdala and fronto-temporal lobes; b) microstructural alterations in amygdala, frontal lobe, cingulum, longitudinal fasciculus and fornix; and c) functional alterations between limbic and mesocortical networks. The small sample size and the heterogeneity in populations and methodologies limit this review. In conclusion, PND seems to influence structure and function of offspring, that may contribute to the risk of behavioral disturbances later in life.
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Vanderkruik R, Raffi E, Freeman MP, Wales R, Cohen L. Perinatal depression screening using smartphone technology: Exploring uptake, engagement and future directions for the MGH Perinatal Depression Scale (MGHPDS). PLoS One 2021; 16:e0257065. [PMID: 34587183 PMCID: PMC8480830 DOI: 10.1371/journal.pone.0257065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 08/21/2021] [Indexed: 11/23/2022] Open
Abstract
Women may experience new-onset or worsening depressive disorders during pregnancy and the postpartum. If untreated, there may be detrimental consequences to the health and wellbeing of the woman and to her baby. There is a need for improved tools and approaches that can be easily and broadly implemented to effectively detect depression during the perinatal period. Early identification of depression during pregnancy is an important first step towards connecting women to treatment and preventing continued depression into the postpartum or beyond. This report provides preliminary findings from a pilot study of a digital screening app for perinatal depression expiring potential for app reach, engagement, and user demographics and mental health symptoms. With mainly passive recruitment efforts, we collected cross-sectional mental health data on over 700 women during the perinatal period, including women across over 30 countries. We report on mean depression scores among women during pregnancy and the postpartum as well as on constructs that are commonly comorbid with depression, including anxiety, sleep dysregulation, and perceived stress. Over half of the women during pregnancy and over 70% of women in the postpartum had a depression score indicative of clinical depression. Future research directions for this work and potential for public health impact are discussed, including longitudinal data collection and analyses of symptomology over time and embedding evidence-based digital therapeutics into the app as a means to increase access to mental health services.
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Affiliation(s)
- Rachel Vanderkruik
- Ammon-Pinizzotto Center for Women’s Mental Health, Massachusetts General Hospital, Boston, MA, United States of America
- * E-mail:
| | - Edwin Raffi
- Ammon-Pinizzotto Center for Women’s Mental Health, Massachusetts General Hospital, Boston, MA, United States of America
| | - Marlene P. Freeman
- Ammon-Pinizzotto Center for Women’s Mental Health, Massachusetts General Hospital, Boston, MA, United States of America
| | - Rebecca Wales
- Ammon-Pinizzotto Center for Women’s Mental Health, Massachusetts General Hospital, Boston, MA, United States of America
| | - Lee Cohen
- Ammon-Pinizzotto Center for Women’s Mental Health, Massachusetts General Hospital, Boston, MA, United States of America
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Ferguson KK, Sammallahti S, Rosen E, van den Dries M, Pronk A, Spaan S, Guxens M, Tiemeier H, Gaillard R, Jaddoe VW. Fetal Growth Trajectories Among Small for Gestational Age Babies and Child Neurodevelopment. Epidemiology 2021; 32:664-671. [PMID: 34086648 PMCID: PMC8338787 DOI: 10.1097/ede.0000000000001387] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Being born small for gestational age (SGA, <10th percentile) is a risk factor for worse neurodevelopmental outcomes. However, this group is a heterogeneous mix of healthy and growth-restricted babies, and not all will experience poor outcomes. We sought to determine whether fetal growth trajectories can distinguish who will have the worst neurodevelopmental outcomes in childhood among babies born SGA. METHODS The present analysis was conducted in Generation R, a population-based cohort in Rotterdam, the Netherlands (N = 5,487). Using group-based trajectory modeling, we identified fetal growth trajectories for weight among babies born SGA. These were based on standard deviation scores of ultrasound measures from mid-pregnancy and late pregnancy in combination with birth weight. We compared child nonverbal intelligence quotient (IQ) and attention deficit hyperactivity disorder (ADHD) symptoms at age 6 between SGA babies within each growth trajectory to babies born non-SGA. RESULTS Among SGA individuals (n = 656), we identified three distinct fetal growth trajectories for weight. Children who were consistently small from mid-pregnancy (n = 64) had the lowest IQ (7 points lower compared to non-SGA babies, 95% confidence interval [CI] = -11.0, -3.5) and slightly more ADHD symptoms. Children from the trajectory that started larger but were smaller at birth showed no differences in outcomes compared to children born non-SGA. CONCLUSIONS Among SGA children, those who were smaller beginning in mid-pregnancy exhibited the worst neurodevelopmental outcomes at age 6. Fetal growth trajectories may help identify SGA babies who go on to have poor neurodevelopmental outcomes.
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Affiliation(s)
- Kelly K. Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Sara Sammallahti
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Emma Rosen
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Michiel van den Dries
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Anjoeka Pronk
- Department of Risk Analysis for Products in Development, TNO, Utrecht, The Netherlands
| | - Suzanne Spaan
- Department of Risk Analysis for Products in Development, TNO, Utrecht, The Netherlands
| | - Mònica Guxens
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- ISGlobal, Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Romy Gaillard
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Vincent W.V. Jaddoe
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
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Sethna V, Siew J, Gudbrandsen M, Pote I, Wang S, Daly E, Deprez M, Pariante CM, Seneviratne G, Murphy DGM, Craig MC, McAlonan G. Maternal depression during pregnancy alters infant subcortical and midbrain volumes. J Affect Disord 2021; 291:163-170. [PMID: 34038833 DOI: 10.1016/j.jad.2021.05.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/29/2021] [Accepted: 05/05/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Maternal depression in pregnancy increases the risk for adverse neurodevelopmental outcomes in the offspring. The reason for this is unknown, however, one plausible mechanism may include the impact of maternal antenatal depression on infant brain. Nevertheless, relatively few studies have examined the brain anatomy of infants born to clinically diagnosed mothers. METHODS A legacy magnetic resonance imaging (MRI) dataset was used to compare regional brain volumes in 3-to-6-month-old infants born to women with a clinically confirmed diagnosis of major depressive disorder (MDD) during pregnancy (n = 31) and a reference sample of infants born to women without a current or past psychiatric diagnosis (n = 33). A method designed for analysis of low-resolution scans enabled examination of subcortical and midbrain regions previously found to be sensitive to the parent-child environment. RESULTS Compared with infants of non-depressed mothers, infants exposed to maternal antenatal depression had significantly larger subcortical grey matter volumes and smaller midbrain volumes. There was no association between gestational medication exposure and the infant regional brain volumes examined in our sample. LIMITATIONS Our scanning approach did not allow for an examination of fine-grained structural differences, and without repeated measures of brain volume, it is unknown whether the direction of reported associations are dependent on developmental stage. CONCLUSIONS Maternal antenatal depression is associated with an alteration in infant brain anatomy in early postnatal life; and that this is not accounted for by medication exposure. However, our study cannot address whether anatomical differences impact on future outcomes of the offspring.
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Affiliation(s)
- Vaheshta Sethna
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK.
| | - Jasmine Siew
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Experimental Clinical and Health Psychology, Research in Developmental Disorders Lab, Ghent University, Belgium
| | - Maria Gudbrandsen
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Inês Pote
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Siying Wang
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK
| | - Eileen Daly
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Maria Deprez
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, UK
| | - Carmine M Pariante
- Stress, Psychiatry and Immunology & Perinatal Psychiatry Laboratory, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | | | - Declan G M Murphy
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; NIHR Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Michael C Craig
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Grainne McAlonan
- Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; NIHR Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust and King's College London, UK
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Van Niel MS, Bhatia R, Riano NS, de Faria L, Catapano-Friedman L, Ravven S, Weissman B, Nzodom C, Alexander A, Budde K, Mangurian C. The Impact of Paid Maternity Leave on the Mental and Physical Health of Mothers and Children: A Review of the Literature and Policy Implications. Harv Rev Psychiatry 2020; 28:113-26. [PMID: 32134836 DOI: 10.1097/HRP.0000000000000246] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
For decades, national paid maternity leave policies of 12 weeks or more have been established in every industrialized country except the United States. Despite women representing 47% of the current U.S. labor force, only 16% of all employed American workers have access to paid parental leave through their workplace. As many as 23% of employed mothers return to work within ten days of giving birth, because of their inability to pay living expenses without income. We reviewed recent studies on the possible effects of paid maternity leave on the mental and physical health of mothers and children. We found that paid maternity leave is associated with beneficial effects on (1) the mental health of mothers and children, including a decrease in postpartum maternal depression and intimate partner violence, and improved infant attachment and child development, (2) the physical health of mothers and children, including a decrease in infant mortality and in mother and infant rehospitalizations, and an increase in pediatric visit attendance and timely administration of infant immunizations, and (3) breastfeeding, with an increase in its initiation and duration. Given the substantial mental and physical health benefits associated with paid leave, as well as favorable results from studies on its economic impact, the United States is facing a clear, evidence-based mandate to create a national paid maternity leave policy. We recommend a national paid maternity leave policy of at least 12 weeks.
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Lees B, Squeglia LM, McTeague LM, Forbes MK, Krueger RF, Sunderland M, Baillie AJ, Koch F, Teesson M, Mewton L. Altered Neurocognitive Functional Connectivity and Activation Patterns Underlie Psychopathology in Preadolescence. Biol Psychiatry Cogn Neurosci Neuroimaging 2021; 6:387-398. [PMID: 33281105 PMCID: PMC8426459 DOI: 10.1016/j.bpsc.2020.09.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 09/02/2020] [Accepted: 09/09/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Neurocognitive deficits are common among youth with mental disorders, and patterns of aberrant brain function generally cross diagnostic boundaries. This study investigated associations between functional neurocircuitry and broad transdiagnostic psychopathology dimensions in the critical preadolescent period when psychopathology is emerging. METHODS Participants were 9- to 10-year-olds from the Adolescent Brain Cognitive Development Study. Factor scores of general psychopathology, externalizing, internalizing, and thought disorder dimensions were calculated from a higher-order model of psychopathology using confirmatory factor analysis (N = 11,721) and entered as explanatory variables into linear mixed models to examine associations with resting-state functional connectivity (n = 9074) and neural activation during the emotional n-back task (n = 6146) when covarying for sex, race/ethnicity, parental education, and cognitive function. RESULTS All dimensions of psychopathology were commonly characterized by hypoconnectivity within the dorsal attention and retrosplenial-temporal networks, hyperconnectivity between the frontoparietal and ventral attention networks and between the dorsal attention network and amygdala, and hypoactivation of the caudal middle frontal gyrus. Externalizing pathology was uniquely associated with hyperconnectivity between the salience and ventral attention networks and hyperactivation of the cingulate and striatum. Internalizing pathology was uniquely characterized by hypoconnectivity between the default mode and cingulo-opercular networks. Connectivity between the cingulo-opercular network and putamen was uniquely higher for internalizing pathology and lower for thought disorder pathology. CONCLUSIONS These findings provide novel evidence that broad psychopathology dimensions are characterized by common and dissociable patterns, particularly for externalizing pathology, of functional connectivity and task-evoked activation throughout neurocognitive networks in preadolescence.
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Affiliation(s)
- Briana Lees
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia.
| | - Lindsay M Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Lisa M McTeague
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minnesota, Minneapolis
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Andrew J Baillie
- Sydney School of Health Sciences, University of Sydney, Sydney, Australia
| | - Forrest Koch
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - Maree Teesson
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Louise Mewton
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
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Borchers LR, Dennis EL, King LS, Humphreys KL, Gotlib IH. Prenatal and postnatal depressive symptoms, infant white matter, and toddler behavioral problems. J Affect Disord 2021; 282:465-471. [PMID: 33422824 PMCID: PMC7889716 DOI: 10.1016/j.jad.2020.12.075] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/18/2020] [Accepted: 12/21/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Maternal depression is prevalent during and following pregnancy and is related to adverse outcomes in offspring. Perinatal depression is associated with risk for difficulties in offspring; however, the mechanisms underlying this association are not clear. We examined whether maternal prenatal and postnatal depressive symptoms were associated with infant white matter organization and with behavioral problems in toddlerhood. METHODS 37 mother-infant dyads (20 male; ages 5.95-7.66 months) participated in this study. We conducted diffusion MRI with infants during natural sleep. Mothers reported on their prenatal and postnatal depressive symptoms at six months postpartum. We calculated fractional anisotropy (FA), radial, axial, and mean diffusivity, and assessed offspring behavioral problems at age 18 months. RESULTS Prenatal depressive symptoms were associated with FA of the corpus callosum; postnatal depressive symptoms were not associated with FA of limbic tracts or corpus callosum segmentations. Higher levels of prenatal depressive symptoms were associated with higher FA and lower radial diffusivity of the corpus callosum genu; FA of this region was positively associated with behavioral problems at age 18 months. LIMITATIONS This study had a small sample size; therefore, findings should be replicated. Further, we used retrospective reports of maternal prenatal depression, but validated them in this study. CONCLUSIONS Depressive symptoms during pregnancy may affect infant corpus callosum development and, in turn, offspring behaviors. These findings suggest that early maternal stress accelerates infant neurodevelopment in a manner that may increase risk for behavioral problems. Thus, efforts to reduce maternal prenatal depression should be a public health priority.
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Affiliation(s)
- Lauren R Borchers
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States.
| | - Emily L Dennis
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States; Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, 84132, United States
| | - Lucy S King
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States
| | - Kathryn L Humphreys
- Department of Psychology and Human Development, Vanderbilt University, 230 Appleton Place, #552, Nashville, TN, 37203, United States
| | - Ian H Gotlib
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, United States
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Cattane N, Räikkönen K, Anniverno R, Mencacci C, Riva MA, Pariante CM, Cattaneo A. Depression, obesity and their comorbidity during pregnancy: effects on the offspring's mental and physical health. Mol Psychiatry 2021; 26:462-481. [PMID: 32632208 PMCID: PMC7850968 DOI: 10.1038/s41380-020-0813-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 05/20/2020] [Accepted: 06/05/2020] [Indexed: 02/08/2023]
Abstract
Depression and obesity represent two of the most common complications during pregnancy and are associated with severe health risks for both the mother and the child. Although several studies have analysed the individual effects of depression or obesity on the mothers and their children, the effects associated with the co-occurrence of both disorders have so far been poorly investigated. The relationship between depression and obesity is very complex and it is still unclear whether maternal depression leads to obesity or vice versa. It is well known that the intrauterine environment plays an important role in mediating the effects of both depression and obesity in the mother on the fetal programming, increasing the child's risk to develop negative outcomes.
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Affiliation(s)
- Nadia Cattane
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Roberta Anniverno
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Claudio Mencacci
- Department of Neuroscience, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Marco A Riva
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Carmine M Pariante
- Stress, Psychiatry and Immunology Laboratory, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Annamaria Cattaneo
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
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Cárdenas EF, Kujawa A, Humphreys KL. Neurobiological changes during the peripartum period: implications for health and behavior. Soc Cogn Affect Neurosci 2020; 15:1097-1110. [PMID: 31820795 PMCID: PMC7657461 DOI: 10.1093/scan/nsz091] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 10/01/2019] [Accepted: 10/14/2019] [Indexed: 01/22/2023] Open
Abstract
Pregnancy and the transition to parenthood is an important period marked by dramatic neurobiological and psychosocial changes that may have implications for the health of women and offspring. Although human and non-human animal research suggests that the brain undergoes alterations during the peripartum period, these changes are poorly understood. Here, we review existing research, particularly human neuroimaging and psychophysiological research, to examine changes in brain structure and function during the peripartum period and discuss potential implications for the health of women and offspring. First, we discuss the potential causes of these changes across pregnancy, including physiological and psychosocial factors. Next, we discuss the evidence for structural and functional changes in the brain during pregnancy and into the postpartum period, noting the need for research conducted prospectively across human pregnancy. Finally, we propose potential models of individual differences in peripartum neurobiological changes (i.e. hypo-response, typical response, hyper-response) and emphasize the need to consider trajectories of change in addition to pre-existing factors that may predict maternal adjustment to parenthood. We suggest that the consideration of individual differences in neurobiological trajectories across pregnancy may contribute to a better understanding of risk for negative health and behavior outcomes for women and offspring.
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Affiliation(s)
- Emilia F Cárdenas
- Department of Psychology and Human Development, Vanderbilt University, 37203, Nashville, USA
| | - Autumn Kujawa
- Department of Psychology and Human Development, Vanderbilt University, 37203, Nashville, USA
| | - Kathryn L Humphreys
- Department of Psychology and Human Development, Vanderbilt University, 37203, Nashville, USA
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Abstract
OBJECTIVES To assess the relation between exposure to maternal depression before age 5 and 5 domains of developmental vulnerability at school entry, overall, and by age at exposure. METHODS This cohort study included all children born in Manitoba, Canada, who completed the Early Development Instrument between 2005 and 2016 (N = 52 103). Maternal depression was defined by using physician visits, hospitalizations, and pharmaceutical data; developmental vulnerability was assessed by using the Early Development Instrument. Relative risk of developmental vulnerability was assessed by using log-binomial regression models adjusted for characteristics at birth. RESULTS Children exposed to maternal depression before age 5 had a 17% higher risk of having at least 1 developmental vulnerability at school entry than did children not exposed to maternal depression before age 5. Exposure to maternal depression was most strongly associated with difficulties in social competence (adjusted relative risk [aRR] = 1.28; 95% confidence interval [CI]: 1.20-1.38), physical health and well-being (aRR = 1.28; 95% CI: 1.20-1.36), and emotional maturity (aRR = 1.27; 95% CI: 1.18-1.37). For most developmental domains, exposure to maternal depression before age 1 and between ages 4 and 5 had the strongest association with developmental vulnerability. CONCLUSIONS Our finding that children exposed to maternal depression are at higher risk for developmental vulnerability at school entry is consistent with previous findings. We extended this literature by documenting that the adverse effects of exposure to maternal depression are specific to particular developmental domains and that these effects vary depending on the age at which the child is exposed to maternal depression.
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Affiliation(s)
| | - Leslie L Roos
- Psychology, Stanford University, Stanford, California; and
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Mareckova K, Marecek R, Andryskova L, Brazdil M, Nikolova YS. Maternal Depressive Symptoms During Pregnancy and Brain Age in Young Adult Offspring: Findings from a Prenatal Birth Cohort. Cereb Cortex 2020; 30:3991-3999. [DOI: 10.1093/cercor/bhaa014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Abstract
Maternal depression during pregnancy is associated with elevated risk of anxiety and depression in offspring, but the mechanisms are incompletely understood. Here we conducted a neuroimaging follow-up of a prenatal birth cohort from the European Longitudinal Study of Pregnancy and Childhood (n = 131; 53% women, age 23–24) to test whether deviations from age-normative structural brain development in young adulthood may partially underlie this link. Structural brain age was calculated based on previously published neuroanatomical age prediction models using cortical thickness maps from healthy controls aged 6–89. Brain age gap was computed as the difference between chronological and structural brain age. Participants also completed self-report measures of anxiety and mood dysregulation. Further, mothers of a subset of participants (n = 103, 54% women) answered a self-report questionnaire in 1990–1992 about depressive symptoms during pregnancy. Higher exposure to maternal depressive symptoms in utero showed a linear relationship with elevated brain age gap, which showed a quadratic relationship with anxiety and mood dysregulation in the young adult offspring. Our findings suggest that exposure to maternal depressive symptoms in utero may be associated with accelerated brain maturation and that deviations from age-normative structural brain development in either direction predict more anxiety and dysregulated mood in young adulthood.
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Affiliation(s)
- Klara Mareckova
- Brain and Mind Research, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno 62500, Czech Republic
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON M5T 1R8, Canada
| | - Radek Marecek
- Brain and Mind Research, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno 62500, Czech Republic
| | - Lenka Andryskova
- RECETOX, Faculty of Science, Masaryk University, Brno 62500, Czech Republic
| | - Milan Brazdil
- Brain and Mind Research, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno 62500, Czech Republic
| | - Yuliya S Nikolova
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
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Kalin NH, Binder E, Brady KT, Lewis DA, Pine DS, Rodriguez C, Trivedi M, Rosenberg S. 2019 Articles of Import and Impact. Am J Psychiatry 2020; 177:17-19. [PMID: 31892299 DOI: 10.1176/appi.ajp.2019.19111124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Affiliation(s)
- Deanna M Barch
- Department of Psychological and Brain Sciences, Washington University in St. Louis (Barch); and Departments of Psychiatry (Barch, Rogers), Radiology (Barch), and Pediatrics (Rogers), Washington University School of Medicine in St. Louis
| | - Cynthia Rogers
- Department of Psychological and Brain Sciences, Washington University in St. Louis (Barch); and Departments of Psychiatry (Barch, Rogers), Radiology (Barch), and Pediatrics (Rogers), Washington University School of Medicine in St. Louis
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