EPFL team builds implantable chip that reads inter-region brain synchrony for DBS
Researchers at EPFL's Integrated Neurotechnologies Lab, led by Mahsa Shoaran, have built a low-power implantable neural system-on-chip called LogSync. It records neural activity, extracts biomarkers for brain-wave strength and synchrony across multiple brain regions, and uses a machine-learning algorithm to detect cognitive and emotional states and trigger stimulation accordingly. The work, funded by a $6.6 million US National Institute for Mental Health grant, was published in the IEEE Journal of Solid-State Circuits.
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Most current deep brain stimulation systems react to signals from only one region or run on fixed settings, which may miss the networked nature of psychiatric conditions; Shoaran's team argues disorders like depression and OCD stem from disrupted communication between regions rather than single-area dysfunction. If validated, a chip that tracks cross-region synchrony could enable more responsive, adaptive psychiatric treatments than today's open-loop implants. It remains an early research and engineering milestone, so clinical application and real-world effectiveness are not yet established.
- LogSync is a new implantable chip that measures synchrony between multiple brain regions, not just one.
- It pairs biomarker extraction with machine learning to trigger stimulation based on detected brain states.
- The project is backed by a $6.6 million NIMH grant and published in IEEE Journal of Solid-State Circuits.
Source: actu.epfl.ch — Celia Luterbacher, 2026-10-24
Published there as: “Neural chip decodes interactions between brain regions”
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