Sexual Dimorphism in Brain Development: Influence on Affective Disorders

Lopez-Ojeda, Wilfredo; Hurley, Robin A.

doi:10.1176/appi.neuropsych.20100269

Cited by 13 publications

(7 citation statements)

References 79 publications

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“…Pubertal sex hormones, alongside genetic and environmental influences, are thought to modulate trajectories of brain development to produce sex-specific vulnerabilities for psychopathology ( López-Ojeda and Hurley, 2021 ). For example, sex moderates the association between puberty and internalizing symptoms in 9–10-year-old children, predicting greater symptom severity for females as compared to males ( McNeilly et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Sex and age variations in the impact of puberty on cortical thickness and associations with internalizing symptoms and suicidal ideation in early adolescence

Wiglesworth

Fiecas

et al. 2023

Developmental Cognitive Neuroscience

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Section: Introductionmentioning

confidence: 99%

Sex and age variations in the impact of puberty on cortical thickness and associations with internalizing symptoms and suicidal ideation in early adolescence

Wiglesworth

Fiecas

et al. 2023

Developmental Cognitive Neuroscience

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“…Future studies will explore the potential of volumetric imaging biomarkers to enhance our understanding of the underlying mechanisms of diseases and improve their diagnosis, particularly in complex and partly understood conditions like CVI. This involves increasing sample sizes and considering factors such as sexual dimorphism 36 and age-dependent developmental trajectories 13 .…”

Section: Discussionmentioning

confidence: 99%

A deep learning model for brain segmentation across pediatric and adult populations

Simarro,

Meyer,

Van Eyndhoven

et al. 2024

Sci Rep

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Automated quantification of brain tissues on MR images has greatly contributed to the diagnosis and follow-up of neurological pathologies across various life stages. However, existing solutions are specifically designed for certain age ranges, limiting their applicability in monitoring brain development from infancy to late adulthood. This retrospective study aims to develop and validate a brain segmentation model across pediatric and adult populations. First, we trained a deep learning model to segment tissues and brain structures using T1-weighted MR images from 390 patients (age range: 2–81 years) across four different datasets. Subsequently, the model was validated on a cohort of 280 patients from six distinct test datasets (age range: 4–90 years). In the initial experiment, the proposed deep learning-based pipeline, icobrain-dl, demonstrated segmentation accuracy comparable to both pediatric and adult-specific models across diverse age groups. Subsequently, we evaluated intra- and inter-scanner variability in measurements of various tissues and structures in both pediatric and adult populations computed by icobrain-dl. Results demonstrated significantly higher reproducibility compared to similar brain quantification tools, including childmetrix, FastSurfer, and the medical device icobrain v5.9 (p-value< 0.01). Finally, we explored the potential clinical applications of icobrain-dl measurements in diagnosing pediatric patients with Cerebral Visual Impairment and adult patients with Alzheimer’s Disease.

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“…These results could suggest some sex specificities in terms of DNA methylation marks, both at individual CpG and regional levels, with regards to child emotional and behavioral symptoms at 3 years of age. Sexual dimorphism of the placental methylome [22,38,[60][61][62] and of the brain structure and function development [63,64] has been widely documented. Placental dimorphism could be due to distinct effects of sexual hormones and chromosomes [65].…”

Section: Discussionmentioning

confidence: 99%

Epigenome-Wide Associations of Placental DNA Methylation and Behavioral and Emotional Difficulties in Children at 3 Years of Age

Nakamura

Broséus

Tost

et al. 2023

IJMS

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The placenta is a key organ for fetal and brain development. Its epigenome can be regarded as a biochemical record of the prenatal environment and a potential mechanism of its association with the future health of the fetus. We investigated associations between placental DNA methylation levels and child behavioral and emotional difficulties, assessed at 3 years of age using the Strengths and Difficulties Questionnaire (SDQ) in 441 mother–child dyads from the EDEN cohort. Hypothesis-driven and exploratory analyses (on differentially methylated probes (EWAS) and regions (DMR)) were adjusted for confounders, technical factors, and cell composition estimates, corrected for multiple comparisons, and stratified by child sex. Hypothesis-driven analyses showed an association of cg26703534 (AHRR) with emotional symptoms, and exploratory analyses identified two probes, cg09126090 (intergenic region) and cg10305789 (PPP1R16B), as negatively associated with peer relationship problems, as well as 33 DMRs, mostly positively associated with at least one of the SDQ subscales. Among girls, most associations were seen with emotional difficulties, whereas in boys, DMRs were as much associated with emotional than behavioral difficulties. This study provides the first evidence of associations between placental DNA methylation and child behavioral and emotional difficulties. Our results suggest sex-specific associations and might provide new insights into the mechanisms of neurodevelopment.

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Sexual Dimorphism in Brain Development: Influence on Affective Disorders

Cited by 13 publications

References 79 publications

Sex and age variations in the impact of puberty on cortical thickness and associations with internalizing symptoms and suicidal ideation in early adolescence

Sex and age variations in the impact of puberty on cortical thickness and associations with internalizing symptoms and suicidal ideation in early adolescence

A deep learning model for brain segmentation across pediatric and adult populations

Epigenome-Wide Associations of Placental DNA Methylation and Behavioral and Emotional Difficulties in Children at 3 Years of Age

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