ArticleFrontiers in psychiatry2018
From Default Mode Network to the Basal Configuration: Sex Differences in the Resting-State Brain Connectivity as a Function of Age and Their Clinical Correlates.
Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Investigating Brain Functional Connectivity and Its Correlation With Cognitive Dysfunction in Chronic Kidney Disease Patients via Resting-State fMRI.Brain and behavior · 2025Article
- Age and Sex Moderate the Effects of Sleep Quality on Resting-State Functional Connectivity in the Salience and Default Mode Network.Research square · 2025Article
- Sex differences in neural networks recruited by frontloaded binge alcohol drinking.Addiction biology · 2024Article
- Explainable Multimodal Graph Isomorphism Network for Interpreting Sex Differences in Adolescent Neurodevelopment.Applied sciences (Basel, Switzerland) · 2024Article
- Sex matters: acute functional connectivity changes as markers of remission in late-life depression differ by sex.Molecular psychiatry · 2023Article
- Signed graph representation learning for functional-to-structural brain network mapping.Medical image analysis · 2023Article
- Controllability of Structural Brain Networks and the Waxing and Waning of Negative Affect in Daily Life.Biological psychiatry global open science · 2022Article
- Sex differences in the functional topography of association networks in youth.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Examining age-dependent DNA methylation patterns and gene expression in the male and female mouse hippocampus.Neurobiology of aging · 2021Article
- Use of random matrix theory in the discovery of resting state brain networks.Magnetic resonance imaging · 2021Article
- A whole-brain modeling approach to identify individual and group variations in functional connectivity.Brain and behavior · 2021Article
- Construction and Application of Functional Brain Network Based on Entropy.Entropy (Basel, Switzerland) · 2020Article
- Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- The neurobiological basis of sex differences in learned fear and its inhibition.The European journal of neuroscience · 2020Review
- A GENERALIZED FRAMEWORK OF PATHLENGTH ASSOCIATED COMMUNITY ESTIMATION FOR BRAIN STRUCTURAL NETWORK.Proceedings. IEEE International Symposium on Biomedical Imaging · 2020Article
- Marijuana Use and Depressive Symptoms; Gender Differences in African American Adolescents.Frontiers in psychology · 2018Article
- Sex differences in development of functional connections in the face processing network.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
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10 authors.
Funding
Abstract
Connectomics is a framework that models brain structure and function interconnectivity as a network, rather than narrowly focusing on select regions-of-interest. MRI-derived connectomes can be structural, usually based on diffusion-weighted MR imaging, or functional, usually formed by examining fMRI blood-oxygen-level-dependent (BOLD) signal correlations. Recently, we developed a novel method for assessing the hierarchical modularity of functional brain networks-the probability associated community estimation (PACE). PACE uniquely permits a dual formulation, thus yielding equivalent connectome modular structure regardless of whether positive or negative edges are considered. This method was rigorously validated using the 1,000 functional connectomes project data set (F1000, RRID:SCR_005361) (1) and the Human Connectome Project (HCP, RRID:SCR_006942) (2, 3) and we reported novel sex differences in resting-state connectivity not previously reported. (4) This study further examines sex differences in regard to hierarchical modularity as a function of age and clinical correlates, with findings supporting a basal configuration framework as a more nuanced and dynamic way of conceptualizing the resting-state connectome that is modulated by both age and sex. Our results showed that differences in connectivity between men and women in the 22-25 age range were not significantly different. However, these same non-significant differences attained significance in both the 26-30 age group (
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