BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics

• URL: http://arxiv.org/abs/2510.20831v1
• Date: Sat, 11 Oct 2025 22:48:36 GMT
• Title: BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics
• Authors: Mehrnaz Asadi, Sina Javadzadeh, Rahil Soroushmojdehi, S. Alireza Seyyed Mousavi, Terence D. Sanger,
• Abstract summary: We introduce Behavior-Adaptive Connectivity Estimation (BACE), an end-to-end framework that learns phase-specific, directed inter-regional connectivity.<n>BACE aggregates many micro-contacts within each anatomical region via per-region temporal encoders.<n>It applies a learnable adjacency specific to each behavioral phase, and is trained on a forecasting objective.
• Score: 0.11744028458220425
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Understanding how distributed brain regions coordinate to produce behavior requires models that are both predictive and interpretable. We introduce Behavior-Adaptive Connectivity Estimation (BACE), an end-to-end framework that learns phase-specific, directed inter-regional connectivity directly from multi-region intracranial local field potentials (LFP). BACE aggregates many micro-contacts within each anatomical region via per-region temporal encoders, applies a learnable adjacency specific to each behavioral phase, and is trained on a forecasting objective. On synthetic multivariate time series with known graphs, BACE accurately recovers ground-truth directed interactions while achieving forecasting performance comparable to state-of-the-art baselines. Applied to human subcortical LFP recorded simultaneously from eight regions during a cued reaching task, BACE yields an explicit connectivity matrix for each within-trial behavioral phase. The resulting behavioral phase-specific graphs reveal behavior-aligned reconfiguration of inter-regional influence and provide compact, interpretable adjacency matrices for comparing network organization across behavioral phases. By linking predictive success to explicit connectivity estimates, BACE offers a practical tool for generating data-driven hypotheses about the dynamic coordination of subcortical regions during behavior.

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