Autonomous control for mechanically stable navigation of microscale implants in brain tissue to record neural activity

Sindhu Anand, Swathy Sampath Kumar, Jitendran Muthuswamy

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Emerging neural prosthetics require precise positional tuning and stable interfaces with single neurons for optimal function over a lifetime. In this study, we report an autonomous control to precisely navigate microscale electrodes in soft, viscoelastic brain tissue without visual feedback. The autonomous control optimizes signal-to-noise ratio (SNR) of single neuronal recordings in viscoelastic brain tissue while maintaining quasi-static mechanical stress conditions to improve stability of the implant-tissue interface. Force-displacement curves from microelectrodes in in vivo rodent experiments are used to estimate viscoelastic parameters of the brain. Using a combination of computational models and experiments, we determined an optimal movement for the microelectrodes with bidirectional displacements of 3:2 ratio between forward and backward displacements and a inter-movement interval of 40 s for minimizing mechanical stress in the surrounding brain tissue. A regulator with the above optimal bidirectional motion for the microelectrodes in in vivo experiments resulted in significant reduction in the number of microelectrode movements (0.23 movements/min) and longer periods of stable SNR (53 % of the time) compared to a regulator using a conventional linear, unidirectional microelectrode movement (with 1.48 movements/min and stable SNR 23 % of the time).

Original languageEnglish (US)
Article number72
JournalBiomedical Microdevices
Volume18
Issue number4
DOIs
StatePublished - Aug 1 2016

Fingerprint

Microelectrodes
Brain
Navigation
Tissue
Signal-To-Noise Ratio
Signal to noise ratio
Mechanical Stress
Sensory Feedback
Experiments
Prosthetics
Neurons
Rodentia
Electrodes
Tuning
Feedback

Keywords

  • Microdrive
  • Neural implants
  • Neural interfaces
  • Probes
  • Prostheses
  • Robot
  • Soft tissue

ASJC Scopus subject areas

  • Biomedical Engineering
  • Molecular Biology

Cite this

Autonomous control for mechanically stable navigation of microscale implants in brain tissue to record neural activity. / Anand, Sindhu; Kumar, Swathy Sampath; Muthuswamy, Jitendran.

In: Biomedical Microdevices, Vol. 18, No. 4, 72, 01.08.2016.

Research output: Contribution to journalArticle

@article{fb7f879bf5064df5be36bdf476ac946e,
title = "Autonomous control for mechanically stable navigation of microscale implants in brain tissue to record neural activity",
abstract = "Emerging neural prosthetics require precise positional tuning and stable interfaces with single neurons for optimal function over a lifetime. In this study, we report an autonomous control to precisely navigate microscale electrodes in soft, viscoelastic brain tissue without visual feedback. The autonomous control optimizes signal-to-noise ratio (SNR) of single neuronal recordings in viscoelastic brain tissue while maintaining quasi-static mechanical stress conditions to improve stability of the implant-tissue interface. Force-displacement curves from microelectrodes in in vivo rodent experiments are used to estimate viscoelastic parameters of the brain. Using a combination of computational models and experiments, we determined an optimal movement for the microelectrodes with bidirectional displacements of 3:2 ratio between forward and backward displacements and a inter-movement interval of 40 s for minimizing mechanical stress in the surrounding brain tissue. A regulator with the above optimal bidirectional motion for the microelectrodes in in vivo experiments resulted in significant reduction in the number of microelectrode movements (0.23 movements/min) and longer periods of stable SNR (53 {\%} of the time) compared to a regulator using a conventional linear, unidirectional microelectrode movement (with 1.48 movements/min and stable SNR 23 {\%} of the time).",
keywords = "Microdrive, Neural implants, Neural interfaces, Probes, Prostheses, Robot, Soft tissue",
author = "Sindhu Anand and Kumar, {Swathy Sampath} and Jitendran Muthuswamy",
year = "2016",
month = "8",
day = "1",
doi = "10.1007/s10544-016-0093-8",
language = "English (US)",
volume = "18",
journal = "Biomedical Microdevices",
issn = "1387-2176",
publisher = "Kluwer Academic Publishers",
number = "4",

}

TY - JOUR

T1 - Autonomous control for mechanically stable navigation of microscale implants in brain tissue to record neural activity

AU - Anand, Sindhu

AU - Kumar, Swathy Sampath

AU - Muthuswamy, Jitendran

PY - 2016/8/1

Y1 - 2016/8/1

N2 - Emerging neural prosthetics require precise positional tuning and stable interfaces with single neurons for optimal function over a lifetime. In this study, we report an autonomous control to precisely navigate microscale electrodes in soft, viscoelastic brain tissue without visual feedback. The autonomous control optimizes signal-to-noise ratio (SNR) of single neuronal recordings in viscoelastic brain tissue while maintaining quasi-static mechanical stress conditions to improve stability of the implant-tissue interface. Force-displacement curves from microelectrodes in in vivo rodent experiments are used to estimate viscoelastic parameters of the brain. Using a combination of computational models and experiments, we determined an optimal movement for the microelectrodes with bidirectional displacements of 3:2 ratio between forward and backward displacements and a inter-movement interval of 40 s for minimizing mechanical stress in the surrounding brain tissue. A regulator with the above optimal bidirectional motion for the microelectrodes in in vivo experiments resulted in significant reduction in the number of microelectrode movements (0.23 movements/min) and longer periods of stable SNR (53 % of the time) compared to a regulator using a conventional linear, unidirectional microelectrode movement (with 1.48 movements/min and stable SNR 23 % of the time).

AB - Emerging neural prosthetics require precise positional tuning and stable interfaces with single neurons for optimal function over a lifetime. In this study, we report an autonomous control to precisely navigate microscale electrodes in soft, viscoelastic brain tissue without visual feedback. The autonomous control optimizes signal-to-noise ratio (SNR) of single neuronal recordings in viscoelastic brain tissue while maintaining quasi-static mechanical stress conditions to improve stability of the implant-tissue interface. Force-displacement curves from microelectrodes in in vivo rodent experiments are used to estimate viscoelastic parameters of the brain. Using a combination of computational models and experiments, we determined an optimal movement for the microelectrodes with bidirectional displacements of 3:2 ratio between forward and backward displacements and a inter-movement interval of 40 s for minimizing mechanical stress in the surrounding brain tissue. A regulator with the above optimal bidirectional motion for the microelectrodes in in vivo experiments resulted in significant reduction in the number of microelectrode movements (0.23 movements/min) and longer periods of stable SNR (53 % of the time) compared to a regulator using a conventional linear, unidirectional microelectrode movement (with 1.48 movements/min and stable SNR 23 % of the time).

KW - Microdrive

KW - Neural implants

KW - Neural interfaces

KW - Probes

KW - Prostheses

KW - Robot

KW - Soft tissue

UR - http://www.scopus.com/inward/record.url?scp=84979519320&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84979519320&partnerID=8YFLogxK

U2 - 10.1007/s10544-016-0093-8

DO - 10.1007/s10544-016-0093-8

M3 - Article

C2 - 27457752

AN - SCOPUS:84979519320

VL - 18

JO - Biomedical Microdevices

JF - Biomedical Microdevices

SN - 1387-2176

IS - 4

M1 - 72

ER -