Patient characteristics ECRM Laser Cordectomy Number of 30 27 subjects Sex (M/F); n 28/2 27/0 Age (years) Mean[+ or -]SD 65.46[+ or -]9.52 60.22[+ or -]7.62 Median (Range) 65 (48-79) 60 (47-78) Follow-up (months) Mean[+ or -]SD 29.16[+ or -]6.28 25.18[+ or -]7.52 Median (Range) 30 (18-40) 26 (12-37) Recurrence none none Radiotherapy p Number of 24 subjects Sex (M/F); n 22/2 0.453 (a) Age (years) Mean[+ or -]SD 62.42[+ or -]8.92 0.055 (b) Median (Range) 60 (42-74) Follow-up (months) Mean[+ or -]SD 27.87[+ or -]3.97 0.17 (b) Median (Range) 28 (21-34) Recurrence none - ECRM: Endoscopic Cordectomy Using Radiofrequency Microelectrodes
(a) Fisher-Freeman-Halton test (b) Kruskal-Wallis test * p<0.05 Table 2.
A metaanalysis comparing the results of pallidotomy performed using microelectrode
recording or macroelectrode stimulation.
are a major component of neural interface technology.
Using FSCV, the negative holding potential allows for the adsorption and preconcentration of the positively charged dopamine and serotonin on the surface of the carbon fiber microelectrode
. On the other hand, the negative holding repels the negatively charged ascorbic acid, which is diffusion controlled onto the surface of the electrode rather than adsorption controlled.
An alternative to the micropore approach, significantly less prone to the clogging risk, is the use of microelectrodes
for the confinement of the electric field.
Sombers, "Unmasking the Effects of L-DOPA on Rapid Dopamine Signaling with an Improved Approach for Nafion Coating Carbon-Fiber Microelectrodes
", Anal Chem, 88 (16), 8129-36, 2016.
To quantify the input resistance and the threshold current, two microelectrodes
penetrating the same cell were used.
Jan Scheuermann is paralyzed below the neck and had two microelectrode
arrays surgically placed on her brain.
*The setting of an image-guided workstation for image fusion, target selection, preoperative lead and microelectrode
recording (MER) needle insertion trajectory planning; the use of a new edition of the FrameLink software (5.2.4), matching hardware, and navigation system S7.
UTRF's University of Tennessee technology is based on electrokinetic impedance sensing using microelectrode
sensor chips that are able to directly detect very minute levels of a specific analyte from complex biological samples.
Construction of Optimal Quasi-conformal Mappings for the 2D-numerical Simulation of Diffusion at Microelectrodes
. Part 1: Principle of the Method and its Application to the Inlaid Disk Microelectrode
For each CLL patient and healthy donor, this process was repeated 4 times, each time on a new microelectrode