The debate noted smartphone data could detect early cognitive changes but didn't resolve which specific neural circuits or molecular pathways these behavioral patterns reflect. This mechanistic gap limits therapeutic translation. Source: Debate session sess_sda-2026-04-01-gap-012 (Analysis: sda-2026-04-01-gap-012)
Landscape Summary: How do smartphone-detected cognitive patterns correlate with specific neural network dysfunction? is a 0.7 priority gap in digital biomarkers. It has 0 linked hypotheses with average composite score 0.000. Status: open.
Colonna, Sevlever, et al. (TREM2 biology)
How do smartphone-detected cognitive patterns correlate with specific neural network dysfunction? — INVOKE-2 (completed)
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