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

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

JOURNAL=Frontiers in Human Neuroscience

VOLUME=15

YEAR=2021

URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2021.717401

DOI=10.3389/fnhum.2021.717401

ISSN=1662-5161

ABSTRACT=<p>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.</p>