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Nevarez-Brewster M, Demers CH, Mejia A, Haase MH, Bagonis MM, Kim SH, Gilmore JH, Hoffman MC, Styner MA, Hankin BL, Davis EP. Longitudinal and prospective assessment of prenatal maternal sleep quality and associations with newborn hippocampal and amygdala volume. Dev Cogn Neurosci 2022; 58:101174. [PMID: 36375383 PMCID: PMC9661438 DOI: 10.1016/j.dcn.2022.101174] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/12/2022] [Accepted: 11/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The rapid maturation of the fetal brain renders the fetus susceptible to prenatal environmental signals. Prenatal maternal sleep quality is known to have important health implications for newborns including risk for preterm birth, however, the effect on the fetal brain is poorly understood. METHOD Participants included 94 pregnant participants and their newborns (53% female). Pregnant participants (Mage = 30; SDage= 5.29) reported on sleep quality three times throughout pregnancy. Newborn hippocampal and amygdala volumes were assessed using structural magnetic resonance imaging. Multilevel modeling was used to test the associations between trajectories of prenatal maternal sleep quality and newborn hippocampal and amygdala volume. RESULTS The overall trajectory of prenatal maternal sleep quality was associated with hippocampal volume (left: b = 0.00003, p = 0.013; right: b = 0.00003, p = .008). Follow up analyses assessing timing of exposure indicate that poor sleep quality early in pregnancy was associated with larger hippocampal volume bilaterally (e.g., late gestation left: b = 0.002, p = 0.24; right: b = 0.004, p = .11). Prenatal sleep quality was not associated with amygdala volume. CONCLUSION These findings highlight the implications of poor prenatal maternal sleep quality and its role in contributing to newborn hippocampal development.
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Affiliation(s)
| | - Catherine H Demers
- University of Denver, Department of Psychology, United States; University of Colorado Anschutz Medical Campus, Department of Psychiatry, United States
| | - Alexandra Mejia
- University of Denver, Department of Psychology, United States
| | | | - Maria M Bagonis
- University of North Carolina - Chapel Hill, Department of Psychiatry, United States
| | - Sun Hyung Kim
- University of North Carolina - Chapel Hill, Department of Psychiatry, United States
| | - John H Gilmore
- University of North Carolina - Chapel Hill, Department of Psychiatry, United States
| | - M Camille Hoffman
- University of Colorado Anschutz Medical Campus, Department of Psychiatry, United States; University of Colorado Denver School of Medicine, Department of Obstetrics and Gynecology, Division of Maternal and Fetal Medicine, United States
| | - Martin A Styner
- University of North Carolina - Chapel Hill, Department of Psychiatry, United States; University of North Carolina - Chapel Hill, Department of Computer Science, United States
| | - Benjamin L Hankin
- University of Illinois at Urbana-Champaign, Department of Psychology, United States
| | - Elysia Poggi Davis
- University of Denver, Department of Psychology, United States; University of California, Irvine, Department of Pediatrics, United States
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Demers CH, Hankin BL, Hennessey EMP, Haase MH, Bagonis MM, Kim SH, Gilmore JH, Hoffman MC, Styner MA, Davis EP. Maternal adverse childhood experiences and infant subcortical brain volume. Neurobiol Stress 2022; 21:100487. [PMID: 36532374 PMCID: PMC9755027 DOI: 10.1016/j.ynstr.2022.100487] [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: 04/05/2022] [Revised: 08/19/2022] [Accepted: 09/13/2022] [Indexed: 10/31/2022] Open
Abstract
Background A large body of research supports the deleterious effects of adverse childhood experiences (ACEs) on disease susceptibility and health for both the exposed individual and the next generation. It is likely that there is an intergenerational transmission of risk from mother to child; however, the mechanisms through which such risk is conferred remain unknown. The current study evaluated the association between maternal ACEs, neonatal brain development of the amygdala and hippocampus, and later infant negative emotionality at six months of age. Methods The sample included 85 mother-infant dyads (44 female infants) from a longitudinal study. Maternal ACEs were assessed with the Adverse Childhood Experiences Questionnaire (ACE-Q) and neonatal hippocampal and amygdala volume was assessed using structural magnetic resonance imaging (MRI). Infant negative emotionality was assessed at 6 months using the Infant Behavior Questionnaire (IBQ). Results Multivariate analyses demonstrated that maternal ACEs were associated with bilateral amygdala volume (F(2,78) = 3.697,p = .029). Specifically, higher maternal ACEs were associated with smaller left (β = -0.220, t(79) = -2.661, p = .009, R2 = 0.494, and right (β = -0.167, t(79) = -2.043, p = .044, R2 = 0.501) amygdala volume. No significant association between maternal ACEs and bilateral hippocampal volume (F(2,78) = 0.215,p = .0807) was found. Follow-up regression analyses demonstrated that both high maternal ACEs and smaller left amygdala volume were associated with higher infant negative emotionality at six months of age (β = .232, p = .040, R2 = 0.094, and β = -0.337, p = .022, R2 = 0.16, respectively) although statistically significant mediation of this effect was not observed (Indirect effect = 0.0187, 95% CI [-0.0016-0.0557]). Conclusions Maternal ACEs are associated with both newborn amygdala volume and subsequent infant negative emotionality. These findings linking maternal adverse childhood experiences and infant brain development and temperament provide evidence to support the intergenerational transmission of adversity from mother to child.
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Affiliation(s)
- Catherine H. Demers
- Department of Psychology, University of Denver, Denver, CO, USA
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Corresponding author. University of Denver, Department of Psychology, 2155 South Race Street, Denver, CO, 80208-3500, USA.
| | - Benjamin L. Hankin
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | | | | | - Maria M. Bagonis
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- PrimeNeuro, Durham, NC, USA
| | - Sun Hyung Kim
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - John H. Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - M. Camille Hoffman
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Obstetrics and Gynecology, Division of Maternal and Fetal Medicine, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Martin A. Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elysia Poggi Davis
- Department of Psychology, University of Denver, Denver, CO, USA
- Department of Pediatrics, University of California Irvine, Irvine, CA, USA
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Demers CH, Bagonis MM, Al-Ali K, Garcia SE, Styner MA, Gilmore JH, Hoffman MC, Hankin BL, Davis EP. Exposure to prenatal maternal distress and infant white matter neurodevelopment. Dev Psychopathol 2021; 33:1526-1538. [PMID: 35586027 PMCID: PMC9109943 DOI: 10.1017/s0954579421000742] [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] [Indexed: 11/07/2022]
Abstract
The prenatal period represents a critical time for brain growth and development. These rapid neurological advances render the fetus susceptible to various influences with life-long implications for mental health. Maternal distress signals are a dominant early life influence, contributing to birth outcomes and risk for offspring psychopathology. This prospective longitudinal study evaluated the association between prenatal maternal distress and infant white matter microstructure. Participants included a racially and socioeconomically diverse sample of 85 mother-infant dyads. Prenatal distress was assessed at 17 and 29 weeks' gestational age (GA). Infant structural data were collected via diffusion tensor imaging at 42-45 weeks' postconceptional age. Findings demonstrated that higher prenatal maternal distress at 29 weeks' GA was associated with increased fractional anisotropy (b = .283, t(64) = 2.319, p = .024) and with increased axial diffusivity (b = .254, t(64) = 2.067, p = .043) within the right anterior cingulate white matter tract. No other significant associations were found with prenatal distress exposure and tract fractional anisotropy or axial diffusivity at 29 weeks' GA, nor earlier in gestation.
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Affiliation(s)
- Catherine H. Demers
- Department of Psychology University of Denver, Denver CO,
USA
- Department of Psychiatry, University of Colorado Anschutz
Medical Campus, Aurora CO, USA
| | - Maria M. Bagonis
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
| | - Khalid Al-Ali
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
| | - Sarah E. Garcia
- Department of Psychology University of Denver, Denver CO,
USA
| | - Martin A. Styner
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
- Department of Computer Science, University of North
Carolina at Chapel Hill, Chapel Hill NC, USA
| | - John H. Gilmore
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
| | - M. Camille Hoffman
- Department of Psychiatry, University of Colorado Anschutz
Medical Campus, Aurora CO, USA
- Department of Obstetrics and Gynecology, Division of
Maternal and Fetal Medicine, University of Colorado Denver School of Medicine,
Aurora, Colorado, USA
| | - Benjamin L. Hankin
- Department of Psychology, University of Illinois at
Urbana-Champaign, Champaign IL, USA
| | - Elysia Poggi Davis
- Department of Psychology University of Denver, Denver CO,
USA
- Department of Psychiatry and Human Behavior, University of
California, Irvine, CA, USA
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Bagonis MM, Fusco L, Pertz O, Danuser G. Automated profiling of growth cone heterogeneity defines relations between morphology and motility. J Cell Biol 2019; 218:350-379. [PMID: 30523041 PMCID: PMC6314545 DOI: 10.1083/jcb.201711023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [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: 11/14/2017] [Revised: 09/26/2018] [Accepted: 11/08/2018] [Indexed: 12/14/2022] Open
Abstract
Growth cones are complex, motile structures at the tip of an outgrowing neurite. They often exhibit a high density of filopodia (thin actin bundles), which complicates the unbiased quantification of their morphologies by software. Contemporary image processing methods require extensive tuning of segmentation parameters, require significant manual curation, and are often not sufficiently adaptable to capture morphology changes associated with switches in regulatory signals. To overcome these limitations, we developed Growth Cone Analyzer (GCA). GCA is designed to quantify growth cone morphodynamics from time-lapse sequences imaged both in vitro and in vivo, but is sufficiently generic that it may be applied to nonneuronal cellular structures. We demonstrate the adaptability of GCA through the analysis of growth cone morphological variation and its relation to motility in both an unperturbed system and in the context of modified Rho GTPase signaling. We find that perturbations inducing similar changes in neurite length exhibit underappreciated phenotypic nuance at the scale of the growth cone.
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Affiliation(s)
- Maria M Bagonis
- Departments of Bioinformatics and Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Cell Biology, Harvard Medical School, Boston, MA
| | - Ludovico Fusco
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Olivier Pertz
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Cell Biology, University of Bern, Bern, Switzerland
| | - Gaudenz Danuser
- Departments of Bioinformatics and Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Cell Biology, Harvard Medical School, Boston, MA
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