Publications

Citation

BibTex format

@article{Cork:2018:1741-2552/aa8239,
author = {Cork, SC and Eftekhar, A and Mirza, KB and Gardiner, JV and Bloom, SR and Toumazou, C},
doi = {1741-2552/aa8239},
journal = {Journal of Neural Engineering},
pages = {1--11},
title = {Extracellular pH monitoring for use in closed-loop vagus nerve stimulation},
url = {http://dx.doi.org/10.1088/1741-2552/aa8239},
volume = {15},
year = {2018}
}

Download

RIS format (EndNote, RefMan)

TY - JOUR
AB - Objective: Vagal nerve stimulation (VNS) has shown potential benefits for obesity treatment; however, current devices lack physiological feedback, which limit their efficacy. Changes in extracellular pH (pHe) have shown to be correlated with neural activity, but have traditionally been measured with glass microelectrodes, which limit their in vivo applicability. Approach. Iridium oxide has previously been shown to be sensitive to fluctuations in pH and is biocompatible. Iridium oxide microelectrodes were inserted into the subdiaphragmatic vagus nerve of anaesthetised rats. Introduction of the gut hormone cholecystokinin (CCK) or distension of the stomach was used to elicit vagal nerve activity. Main results. Iridium oxide microelectrodes have sufficient pH sensitivity to readily detect changes in pHe associated with both CCK and gastric distension. Furthermore, a custom-made Matlab script was able to use these changes in pHe to automatically trigger an implanted VNS device. Significance. This is the first study to show pHe changes in peripheral nerves in vivo. In addition, the demonstration that iridium oxide microelectrodes are sufficiently pH sensitive as to measure changes in pHe associated with physiological stimuli means they have the potential to be integrated into closed-loop neurostimulating devices.
AU - Cork,SC
AU - Eftekhar,A
AU - Mirza,KB
AU - Gardiner,JV
AU - Bloom,SR
AU - Toumazou,C
DO - 1741-2552/aa8239
EP - 11
PY - 2018///
SN - 1741-2552
SP - 1
TI - Extracellular pH monitoring for use in closed-loop vagus nerve stimulation
T2 - Journal of Neural Engineering
UR - http://dx.doi.org/10.1088/1741-2552/aa8239
UR - https://iopscience.iop.org/article/10.1088/1741-2552/aa8239
UR - http://hdl.handle.net/10044/1/51866
VL - 15
ER -

Download

Citation

BibTex format

RIS format (EndNote, RefMan)

Contact us