Explainable Deep Learning of Resting-State Functional Connectomes Reveals Network Biomarkers of Adolescent Intelligence

arXiv:2609.33422 · q-bio.NC, cs.AI · Submitted 2026-09-27 · Read on arXiv

q-bio.NC, cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Ablation — 11× in this paper · explained in 1 episode
• Feature Selection — 10× in this paper · explained in 4 episodes
• Explainability — 5× in this paper · explained in 3 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Late Fusion — 4× in this paper · explained in 2 episodes
• Over-smoothing — 4× in this paper · explained in 4 episodes
• Static Functional Connectivity — 4× in this paper
• Adolescent Brain Cognitive Development — 3× in this paper
• Benchmark — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Graph Convolutional Network — 2× in this paper
• Information Leakage — 2× in this paper · explained in 2 episodes
• Predictive Modeling — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Sparse Projected Residual Network — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Mean Absolute Error — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• SHAP values — 1× in this paper · explained in 2 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

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