Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method

• DOI: 10.1016/j.crmeth.2021.100010
• Publication Date: 2021-06-01T15:10:15Z
• Authors: Evan M. Dastin-va...; Nicole R. Provenza; Jonathan S. Calvert; Ro'ee Gilron; Anusha B. Allawala; Radu Darie; Sohail Syed; Evan Matteson; Gregory S. Vogt; Michelle Avendano...; Ana C. Vasquez; Nithya Ramakrishnan; Denise N. Oswalt; Kelly R. Bijanki; Robert Wilt; Philip A. Starr; Sameer A. Sheth; Wayne K. Goodman; Matthew T. Harrison; David A. Borton
• Keywords: Artifact (error); Neuromodulation; Neurostimulation

Advances in therapeutic neuromodulation devices have enabled concurrent stimulation and electrophysiology the central nervous system. However, artifacts often obscure sensed underlying neural activity. Here, we develop a method, termed Period-based Artifact Reconstruction Removal Method (PARRM), to remove from recordings by leveraging exact period of construct subtract high-fidelity template artifact. Benchtop saline experiments, computational simulations, five unique vivo paradigms across animal human studies, an obscured movement biomarker are used for validation. Performance is found exceed that state-of-the-art filters recovering complex signals without introducing contamination. PARRM has several advantages: (1) it superior signal recovery; (2) easily adaptable neurostimulation paradigms; (3) low complexity future on-device implementation. Real-time artifact removal via will enable unbiased exploration detection biomarkers enhance efficacy closed-loop therapies.