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Predicting neural recording performance of implantable electrodes

Journal Article


Abstract


  • Recordings of neural activity can be used to aid communication, control prosthetic devices or alleviatedisease symptoms. Chronic recordings require a high signal-to-noise ratio that is stable for years. Currentcortical devices generally fail within months to years after implantation. Development of novel devices toincrease lifetime requires valid testing protocols and a knowledge of the critical parameters controllingelectrophysiological performance. Here we present electrochemical and electrophysiological protocolsfor assessing implantable electrodes. Biological noise from neural recording has significant impact on signal-to-noise ratio. A recently developed surgical approach was utilised to reduce biological noise. This allowed correlation of electrochemical and electrophysiological behaviour. The impedance versus frequency of modified electrodes was non-linear. It was found that impedance at low frequencies was astronger predictor of electrophysiological performance than the typically reported impedance at 1 kHz.Low frequency impedance is a function of electrode area, and a strong correlation of electrode area with electrophysiological response was also seen. Use of these standardised testing protocols will allow future devices to be compared before transfer to preclinical and clinical trials.

UOW Authors


  •   Harris, Alexander (external author)
  •   Allitt, Ben (external author)
  •   Paolini, Antonio G. (external author)

Publication Date


  • 2019

Citation


  • Harris, A. R., Allitt, B. J. & Paolini, A. G. (2019). Predicting neural recording performance of implantable electrodes. Analyst, 144 (9), 2973-2983.

Scopus Eid


  • 2-s2.0-85065114055

Number Of Pages


  • 10

Start Page


  • 2973

End Page


  • 2983

Volume


  • 144

Issue


  • 9

Place Of Publication


  • United Kingdom

Abstract


  • Recordings of neural activity can be used to aid communication, control prosthetic devices or alleviatedisease symptoms. Chronic recordings require a high signal-to-noise ratio that is stable for years. Currentcortical devices generally fail within months to years after implantation. Development of novel devices toincrease lifetime requires valid testing protocols and a knowledge of the critical parameters controllingelectrophysiological performance. Here we present electrochemical and electrophysiological protocolsfor assessing implantable electrodes. Biological noise from neural recording has significant impact on signal-to-noise ratio. A recently developed surgical approach was utilised to reduce biological noise. This allowed correlation of electrochemical and electrophysiological behaviour. The impedance versus frequency of modified electrodes was non-linear. It was found that impedance at low frequencies was astronger predictor of electrophysiological performance than the typically reported impedance at 1 kHz.Low frequency impedance is a function of electrode area, and a strong correlation of electrode area with electrophysiological response was also seen. Use of these standardised testing protocols will allow future devices to be compared before transfer to preclinical and clinical trials.

UOW Authors


  •   Harris, Alexander (external author)
  •   Allitt, Ben (external author)
  •   Paolini, Antonio G. (external author)

Publication Date


  • 2019

Citation


  • Harris, A. R., Allitt, B. J. & Paolini, A. G. (2019). Predicting neural recording performance of implantable electrodes. Analyst, 144 (9), 2973-2983.

Scopus Eid


  • 2-s2.0-85065114055

Number Of Pages


  • 10

Start Page


  • 2973

End Page


  • 2983

Volume


  • 144

Issue


  • 9

Place Of Publication


  • United Kingdom