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

Wiglesworth, Andrea; Fiecas, Mark; Xu, Meng; Neher, Aidan T; Padilla, Laura E.; Carosella, Katherine A.; Roediger, Donovan J.; Mueller, Bryon A.; Luciana, Mónica; Klimes‐Dougan, Bonnie; Cullen, Kathryn R.

doi:10.1016/j.dcn.2022.101195

Cited by 9 publications

(4 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result aligns with previous studies that showed abnormal activation of the cingulate cortex in AD patients 5,6,23 . The cingulate cortex is a densely connected and metabolically active region of the brain 24,25 . It is believed to play a pivotal role in pain perception and episodic memory retrieval 26,27 .…”

Section: Discussionsupporting

confidence: 92%

“…5,6,23 The cingulate cortex is a densely connected and metabolically active region of the brain. 24,25 It is believed to play a pivotal role in pain perception and episodic memory retrieval. 26,27 Consequently, the observed structural atrophy and abnormal functional activation may be associated with the cognitive evaluation of itch stimuli and impulse control and/or scratching urges.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Abnormal brain structure in atopic dermatitis: Evidence from Mendelian randomization study

Chen,

Cui,

et al. 2023

Skin Research and Technology

View full text Add to dashboard Cite

BackgroundStructural abnormalities in the brain of patients with atopic dermatitis (AD) have been reported; however, the cause has not been determined yet. Herein, we used Mendelian randomization (MR) to reveal the causal effect of AD on brain structure.MethodsThis study utilized summary statistics from genome‐wide association studies (GWASs) to investigate a collection of cerebral structural measures, encompassing cortical thickness (CT), cortical surface area (CA), and subcortical volumes in T1 images. A comprehensive GWAS meta‐analysis identified a total of 20 independent single nucleotide polymorphisms linked to AD, surpassing the genome‐wide significance threshold (p < 5 × 10⁻⁸). MR estimates were aggregated through the application of the inverse variance weighted method. Additional complementary analyses (i.e., MR‐Egger and weighted median approaches) were conducted to further assess the robustness of the obtained results. Sensitivity analysis and multivariate MR (MVMR) while adjusting for brain structural changes risk factors (i.e., depression and anxiety) were performed to assess the reliability and stability of observed causality.ResultsGenetically determined AD exhibited a causal link with reduced caudate volumes (IVW‐MR: β = ‐0.186, p = 0.001, p‐corrected = 0.009). Furthermore, we identified potential causal associations between AD and reduced CT in the cingulate region (posterior cingulate, IVW‐MR: β = ‐0.065, p = 0.018, p‐corrected = 0.551; isthmus cingulate, IVW‐MR: β = ‐0.086, p = 0.003, p‐corrected = 0.188), as well as abnormal cortical surface area (CA) in the supramarginal (IVW‐MR: β = ‐0.047, p = 0.044, p‐corrected = 0.714) and isthmus cingulate (IVW‐MR: β = 0.053, p = 0.018, p‐corrected = 0.714). Additional supplementary analyses yielded consistent outcomes. There was no evidence of horizontal pleiotropy. MVMR analysis showed that the causal effects of AD on abnormal brain structure remained significant while adjusting for depression and anxiety.ConclusionThis MR study provided suggestive evidence that decreased caudate nucleus, posterior cingulate cortex, isthmus cingulate cortex and supramarginal gyrus are suggestively associated with higher AD risk. Future investigation into the brain regions is recommended, which helps to clarify the underlying mechanisms and point to new therapies against AD.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Abnormal brain structure in atopic dermatitis: Evidence from Mendelian randomization study

Chen,

Cui,

et al. 2023

Skin Research and Technology

View full text Add to dashboard Cite

show abstract

“…Importantly, adolescence is both a time of risk and of opportunity. Adolescence, marked by neural plasticity, is characterized by rapid shifts in brain development and interactions with the environment that can amplify risk or resilience factors [61]. Interpersonal stress, highly influential in shaping psychological outcomes during adolescence, coincides with increased cognitive and emotional demands as youths navigate rewards and threats in their environment [62][63][64][65].…”

Section: Discussionmentioning

confidence: 99%

A Scoping Review of Potential Biological Mechanisms and Predictors of Interpersonal Psychotherapy

Papke,

Hodges,

Reigstad

et al. 2023

Endocrines

Self Cite

View full text Add to dashboard Cite

Social dysfunction plays a critical role in the development and maintenance of depression in both adolescents and adults. Interpersonal psychotherapy (IPT) and interpersonal psychotherapy for depressed adolescents (IPT-A) are effective, evidence-based, and time-limited treatments for depression that aim to mitigate depressive symptoms by strengthening an individual’s interpersonal relationships and skills. Though the efficacy of IPT/IPT-A has been well established, we are just beginning to know how biological systems are implicated in its success. In this scoping review, we examine the extant literature on biological mechanisms and predictors of IPT/IPT-A treatment efficacy. Overall, seven studies were identified that consider biological processes in the context of evaluating IPT/IPTA, and the studies that were conducted are typically preliminary in nature. Notably, there is some evidence showing that the hypothalamic–pituitary–adrenal axis, various frontal and limbic brain regions, and behavioral indexes that represent brain functioning are associated with changes in IPT/IPT-A or predictive of IPT/IPT-A outcomes. We also consider consequences for treatment and future research. The hope is that a better understanding of how and for whom IPT/IPT-A works can optimize the success of the treatment in reducing an individual’s depressive symptoms.

show abstract

“…In this regard, the landmark Adolescent Brain Cognitive Development℠ Study (ABCD Study®), the largest long‐term study of brain development in the United States (ABCD Study, 2022 ), enrolled over 11,800 9‐ and 10‐year‐old children to further study biological and social factors, like gender on brain development (Volkow et al, 2018 ). As such, several recent studies using ABCD data have reported significant neuroanatomical sex differences across numerous domains, including subcortical volume (Adeli et al, 2020 ), cortical thickness (Brennan et al, 2021 ; Tomasi & Volkow, 2023 ; Wiglesworth et al, 2023 ), gray matter density (Murray et al, 2022 ), white matter microstructure (Lawrence et al, 2023 ; Tomasi & Volkow, 2023 ), and differences in the association between brain structure and behavior (Chen et al, 2022 ; Kim et al, 2022 ). However, none of these previous studies on sex differences utilizing the ABCD study examined the potential role of gender.…”

Section: Introductionmentioning

confidence: 99%

Sex, gender diversity, and brain structure in early adolescence

Torgerson,

Ahmadi,

Choupan

et al. 2024

Human Brain Mapping

View full text Add to dashboard Cite

There remains little consensus about the relationship between sex and brain structure, particularly in early adolescence. Moreover, few pediatric neuroimaging studies have analyzed both sex and gender as variables of interest—many of which included small sample sizes and relied on binary definitions of gender. The current study examined gender diversity with a continuous felt‐gender score and categorized sex based on X and Y allele frequency in a large sample of children ages 9–11 years old (N = 7195). Then, a statistical model‐building approach was employed to determine whether gender diversity and sex independently or jointly relate to brain morphology, including subcortical volume, cortical thickness, gyrification, and white matter microstructure. Additional sensitivity analyses found that male versus female differences in gyrification and white matter were largely accounted for by total brain volume, rather than sex per se. The model with sex, but not gender diversity, was the best‐fitting model in 60.1% of gray matter regions and 61.9% of white matter regions after adjusting for brain volume. The proportion of variance accounted for by sex was negligible to small in all cases. While models including felt‐gender explained a greater amount of variance in a few regions, the felt‐gender score alone was not a significant predictor on its own for any white or gray matter regions examined. Overall, these findings demonstrate that at ages 9–11 years old, sex accounts for a small proportion of variance in brain structure, while gender diversity is not directly associated with neurostructural diversity.

show abstract

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

Cited by 9 publications

References 93 publications

Abnormal brain structure in atopic dermatitis: Evidence from Mendelian randomization study

Abnormal brain structure in atopic dermatitis: Evidence from Mendelian randomization study

A Scoping Review of Potential Biological Mechanisms and Predictors of Interpersonal Psychotherapy

Sex, gender diversity, and brain structure in early adolescence

Contact Info

Product

Resources

About