Wireless Programmable Recording and Stimulation of Deep Brain Activity in Freely Moving Humans

Uros Topalovic, Zahra M. Aghajan, Diane Villaroman, Sonja Hiller, Leonardo Christov-Moore, Tyler J. Wishard, Matthias Stangl, Nicholas R. Hasulak, Cory S. Inman, Tony A. Fields, Vikram R. Rao, Dawn Eliashiv, Itzhak Fried, Nanthia Suthana*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Uncovering the neural mechanisms underlying human natural ambulatory behavior is a major challenge for neuroscience. Current commercially available implantable devices that allow for recording and stimulation of deep brain activity in humans can provide invaluable intrinsic brain signals but are not inherently designed for research and thus lack flexible control and integration with wearable sensors. We developed a mobile deep brain recording and stimulation (Mo-DBRS) platform that enables wireless and programmable intracranial electroencephalographic recording and electrical stimulation integrated and synchronized with virtual reality/augmented reality (VR/AR) and wearables capable of external measurements (e.g., motion capture, heart rate, skin conductance, respiration, eye tracking, and scalp EEG). When used in freely moving humans with implanted neural devices, this platform is adaptable to ecologically valid environments conducive to elucidating the neural mechanisms underlying naturalistic behaviors and to the development of viable therapies for neurologic and psychiatric disorders.

Original languageEnglish
Pages (from-to)322-334.e9
JournalNeuron
Volume108
Issue number2
DOIs
StatePublished - 28 Oct 2020

Funding

FundersFunder number
Jason Travis
Merit Vick
Nader Shaterian and FabLab
National Institute of Neurological Disorders and StrokeNS103802, T32NS058280
W. M. Keck Foundation
McKnight Foundation
University of California, Los Angeles

    Keywords

    • augmented reality
    • eye tracking
    • human
    • intracranial EEG
    • intracranial electrical stimulation
    • mobile EEG
    • neuroimaging methods
    • virtual reality
    • wearables

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