ArticleHuman brain mapping2022
Prediction of childhood maltreatment and subtypes with personalized functional connectome of large-scale brain networks.
Article in Human brain mapping, 2022. 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.
- NMDA receptor-dependent structural plasticity links early life stress to persistent aggression.Neurobiology of stress · 2026Review
- Adverse childhood experiences negatively impact sustained attention in adulthood.Discover mental health · 2026Article
- Personalized functional network connectivity abnormalities in chronic insomnia disorder.Psychoradiology · 2026Article
- Early Life Adversity and Disordered Eating: Cognitive and Neural Mechanisms.Behavioral sciences (Basel, Switzerland) · 2025Review
- The neurobiological effects of childhood maltreatment on brain structure, function, and attachment.European archives of psychiatry and clinical neuroscience · 2025Review
- Associations of neighborhood threat and deprivation with psychopathology: Uncovering neural mechanisms.Development and psychopathology · 2025Article
- Network Specificity in Predicting Childhood Trauma Characteristics Using Effective Connectivity.Alpha psychiatry · 2025Article
- Exploring the Correlation of Childhood Trauma With the Behavioral Activation and Inhibition System in Major Depressive Disorder and Bipolar I and II Disorders.Psychiatry investigation · 2025Article
- Trauma-Based Sexually Dimorphic Changes in the Connectome and Its Association with Central Sensitization Syndromes-A Systematic Review.Brain sciences · 2024Review
- The Association between Default-mode Network Functional Connectivity and Childhood Trauma on the Symptom Load in Male Adults with Methamphetamine Use Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024Article
- Personalized functional network mapping for autism spectrum disorder and attention-deficit/hyperactivity disorder.Translational psychiatry · 2024Article
- Functional connectivity analyses of individual hippocampal subregions in major depressive disorder with electroconvulsive therapy.Psychoradiology · 2024Article
- Shared and distinct structural brain networks related to childhood maltreatment and social support: connectome-based predictive modeling.Molecular psychiatry · 2023Article
- Dynamic effective connectivity among large-scale brain networks mediates risk of anxiety.Human brain mapping · 2023Article
- Structural and functional changes in drug-naïve benign childhood epilepsy with centrotemporal spikes and their associated gene expression profiles.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The role of ascending arousal network in patients with chronic insomnia disorder.Human brain mapping · 2023Article
- Prediction of childhood maltreatment and subtypes with personalized functional connectome of large-scale brain networks.Human brain mapping · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Childhood maltreatment (CM) has a long impact on physical and mental health of children. However, the neural underpinnings of CM are still unclear. In this study, we aimed to establish the associations between functional connectome of large-scale brain networks and influences of CM evaluated through Childhood Trauma Questionnaire (CTQ) at the individual level based on resting-state functional magnetic resonance imaging data of 215 adults. A novel individual functional mapping approach was employed to identify subject-specific functional networks and functional network connectivities (FNCs). A connectome-based predictive modeling (CPM) was used to estimate CM total and subscale scores using individual FNCs. The CPM established with FNCs can well predict CM total scores and subscale scores including emotion abuse, emotion neglect, physical abuse, physical neglect, and sexual abuse. These FNCs primarily involve default mode network, fronto-parietal network, visual network, limbic network, motor network, dorsal and ventral attention networks, and different networks have distinct contributions to predicting CM and subtypes. Moreover, we found that CM showed age and sex effects on individual functional connections. Taken together, the present findings revealed that different types of CM are associated with different atypical neural networks which provide new clues to understand the neurobiological consequences of childhood adversity.
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