Frontiers in Human Neuroscience (Sep 2021)

The Role of Large-Scale Data Infrastructure in Developing Next-Generation Deep Brain Stimulation Therapies

  • Witney Chen,
  • Lowry Kirkby,
  • Miro Kotzev,
  • Patrick Song,
  • Ro’ee Gilron,
  • Brian Pepin

DOI
https://doi.org/10.3389/fnhum.2021.717401
Journal volume & issue
Vol. 15

Abstract

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Advances in neuromodulation technologies hold the promise of treating a patient’s unique brain network pathology using personalized stimulation patterns. In service of these goals, neuromodulation clinical trials using sensing-enabled devices are routinely generating large multi-modal datasets. However, with the expansion of data acquisition also comes an increasing difficulty to store, manage, and analyze the associated datasets, which integrate complex neural and wearable time-series data with dynamic assessments of patients’ symptomatic state. Here, we discuss a scalable cloud-based data platform that enables ingestion, aggregation, storage, query, and analysis of multi-modal neurotechnology datasets. This large-scale data infrastructure will accelerate translational neuromodulation research and enable the development and delivery of next-generation deep brain stimulation therapies.

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