Project Goals

Morphological Brain Changes Related to Bullying

This goal aims to understand the long-term impact of childhood and adolescent peer victimization on the physical structure of the adult brain. While immediate behavioral effects are well-documented, longitudinal neuroimaging studies tracking structural changes into adulthood remain extremely rare.

By harmonizing and analyzing structural magnetic resonance imaging (sMRI) data from the BLS and ALSPAC cohorts, we aim to systematically investigate how early bullying experiences are associated with adolescent and early adult brain morphology. We specifically target structural alterations within fundamental intrinsic networks, such as the Default Mode Network and Salience Network, alongside comprehensive whole-brain investigation. Utilizing cross-dataset analyses of vertex-wise surface morphology, we aim to uncover robust, generalizable structural markers to inform future prevention and targeted intervention strategies.

Brain Functional and Structural Connectivity Alterations Related to Bullying

This goal focuses on how childhood and adolescent peer victimization disrupts the fundamental structural and functional organization of the brain. Historically, neuroimaging studies of bullying have largely overlooked how the brain's intrinsic networks communicate and develop. We address this by examining the long-term impact of early bullying on adolescent and early adult intrinsic functional and structural brain connectivity.

We aim to analyze both diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI) data, as available from the BLS and ALSPAC cohorts. This will allow us to map disruptions in white matter microstructure and functional communication, particularly within and between networks like the Default Mode Network and Salience Network. By adopting a network-based neuroscientific approach, we aim to uncover comprehensive, generalizable insights into how bullying alters the brain's fundamental architecture over time.

Neurobiological Mediators of the Bullying - Mental Health Association

A critical gap in current research is the lack of knowledge regarding the specific brain mechanisms that bridge the gap between early bullying experiences and later adverse mental health outcomes. This goal systematically investigates whether the structural and functional brain abnormalities identified in our previous analyses actively mediate this developmental pathway.

By integrating harmonized mental health data, including internalizing and externalizing symptoms, alongside clinical cut-off points for DSM based diagnoses, we will employ systematic mediation models. These models will utilize the multimodal neurobiological markers identified in preceding analyses to determine how early psychosocial stress translates into adult psychopathology. Exploring these mediating neural pathways is essential for understanding the mechanistic development of bullying-induced mental health disorders, ultimately informing the design of targeted, biologically-informed intervention strategies.

Resilience Factor Identification Using Advanced Machine Learning Clustering of Multimodal Data

Traditional bullying research has predominantly categorized individuals into broad groups, often obscuring the vital individual differences and protective factors that can mitigate long-term harm. Our final objective challenges this "one-size-fits-all" paradigm by uncovering hidden, highly nuanced patterns of resilience and individual adaptation.

Utilizing the comprehensive, harmonized longitudinal data synthesized across the project, we will apply advanced, non-linear machine learning clustering algorithms, specifically deep recurrent neural networks and variational autoencoders. To ensure transparency, we will employ explainable artificial intelligence (XAI) frameworks, utilizing both global feature importance models and local methods like SHAP and LIME. This dual-level XAI approach allows us to translate complex multimodal data into personalized, interpretable insights, directly supporting the creation of tailored interventions that foster positive adaptation and long-term mental well-being.

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