What type of study is this?

This is a Double-Blind Study study (also classified as: Observational).

September 10, 2025Open Access

Personalized home based neurostimulation via AI optimization augments sustained attention

Key Points

The AI-driven algorithm enhances sustained attention by personalizing neurostimulation parameters.
In the double-blind, sham-controlled study, participants exhibited significant improvements in attention levels.
This method employs Bayesian optimization to tailor neurostimulation based on individual baseline abilities.
Findings support that personalized neurostimulation could lead to effective cognitive enhancement in real-world settings.

Abstract

Abstract Brain-based technologies for human augmentation face challenges in personalization and real-world translation. We present an AI-driven personalized Bayesian optimization algorithm that remotely adjusts neurostimulation parameters based on baseline ability and head anatomy to enhance sustained attention at home. Validated through in silico modeling and a double-blind, sham-controlled study, our approach aligns with MRI-based models and neurobiological theories, maximizing efficacy and enabling scalable, personalized cognitive enhancement and therapy in real-world settings.

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Cite This Study

Kadosh et al. (Tue,) studied this question.

synapsesocial.com/papers/68c1a40254b1d3bfb60de2a0 https://doi.org/https://doi.org/10.1038/s41746-025-01744-6

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