A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC

Uisub Shin, Cong Ding, Virginia Woods, Alik S. Widge, Mahsa Shoaran

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Growing evidence suggests that phase-locked deep brain stimulation (DBS) can effectively regulate abnormal brain connectivity in neurological and psychiatric disorders. This letter therefore presents a low-power SoC with both neural connectivity extraction and phase-locked DBS capabilities. A 16-channel low-noise analog front-end (AFE) records local field potentials (LFPs) from multiple brain regions with precise gain matching. A novel low-complexity phase estimator and neural connectivity processor subsequently enable energy-efficient, yet accurate measurement of the instantaneous phase and cross-regional synchrony measures. Through a flexible combination of neural biomarkers, such as phase synchrony and spectral energy, a four-channel charge-balanced neurostimulator is triggered to treat various pathological brain conditions. Fabricated in 65-nm CMOS, the SoC occupies a silicon area of 2.24 mm 2 and consumes $60~\boldsymbol \mu \text{W}$ , achieving over 60% power saving in neural connectivity extraction compared to the state-of-the-art. Extensive in-vivo measurements demonstrate multichannel LFP recording, real-time extraction of phase and neural connectivity measures, and phase-locked stimulation in rats.

Original languageEnglish (US)
Pages (from-to)21-24
Number of pages4
JournalIEEE Solid-State Circuits Letters
Volume6
DOIs
StatePublished - 2023

Bibliographical note

Funding Information:
This work was supported by the National Institute of Mental Health under Grant R01-MH-123634.

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Deep brain stimulation (DBS)
  • Parkinson's disease (PD)
  • neural connectivity
  • phase locking value (PLV)
  • phase-amplitude coupling (PAC)
  • psychiatric disorders

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