Literature DB >> 21047096

Characterization of local pH changes in brain using fast-scan cyclic voltammetry with carbon microelectrodes.

Pavel Takmakov1, Matthew K Zachek, Richard B Keithley, Elizabeth S Bucher, Gregory S McCarty, R Mark Wightman.   

Abstract

Transient local pH changes in the brain are important markers of neural activity that can be used to follow metabolic processes that underlie the biological basis of behavior, learning and memory. There are few methods that can measure pH fluctuations with sufficient time resolution in freely moving animals. Previously, fast-scan cyclic voltammetry at carbon-fiber microelectrodes was used for the measurement of such pH transients. However, the origin of the potential dependent current in the cyclic voltammograms for pH changes recorded in vivo was unclear. The current work explored the nature of these peaks and established the origin for some of them. A peak relating to the capacitive nature of the pH CV was identified. Adsorption of electrochemically inert species, such as aromatic amines and calcium could suppress this peak, and is the origin for inconsistencies regarding in vivo and in vitro data. Also, we identified an extra peak in the in vivo pH CV relating to the presence of 3,4-dihydroxyacetic acid (DOPAC) in the brain extracellular fluid. To evaluate the in vivo performance of the carbon-fiber sensor, carbon dioxide inhalation by an anesthetized rat was used to induce brain acidosis induced by hypercapnia. Hypercapnia is demonstrated to be a useful tool to induce robust in vivo pH changes, allowing confirmation of the pH signal observed with FSCV.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21047096      PMCID: PMC2995839          DOI: 10.1021/ac102399n

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  37 in total

1.  Overoxidation of carbon-fiber microelectrodes enhances dopamine adsorption and increases sensitivity.

Authors:  Michael L A V Heien; Paul E M Phillips; Garret D Stuber; Andrew T Seipel; R Mark Wightman
Journal:  Analyst       Date:  2003-11-11       Impact factor: 4.616

2.  Resolving neurotransmitters detected by fast-scan cyclic voltammetry.

Authors:  Michael L A V Heien; Michael A Johnson; R Mark Wightman
Journal:  Anal Chem       Date:  2004-10-01       Impact factor: 6.986

3.  Monitoring dopamine in vivo by microdialysis sampling and on-line CE-laser-induced fluorescence.

Authors:  Minshan Shou; Carrie R Ferrario; Kristin N Schultz; Terry E Robinson; Robert T Kennedy
Journal:  Anal Chem       Date:  2006-10-01       Impact factor: 6.986

4.  Spatiotemporal pH dynamics following insertion of neural microelectrode arrays.

Authors:  Matthew D Johnson; Olivia E Kao; Daryl R Kipke
Journal:  J Neurosci Methods       Date:  2006-11-03       Impact factor: 2.390

Review 5.  Monitoring rapid chemical communication in the brain.

Authors:  Donita L Robinson; Andre Hermans; Andrew T Seipel; R Mark Wightman
Journal:  Chem Rev       Date:  2008-06-25       Impact factor: 60.622

6.  Cannabinoid modulation of electrically evoked pH and oxygen transients in the nucleus accumbens of awake rats.

Authors:  Joseph F Cheer; Kate M Wassum; R Mark Wightman
Journal:  J Neurochem       Date:  2006-05       Impact factor: 5.372

7.  Dopamine detection with fast-scan cyclic voltammetry used with analog background subtraction.

Authors:  Andre Hermans; Richard B Keithley; Justin M Kita; Leslie A Sombers; R Mark Wightman
Journal:  Anal Chem       Date:  2008-04-24       Impact factor: 6.986

8.  Effect of probe size on the concentration of brain extracellular uric acid monitored with carbon paste electrodes.

Authors:  A Duff; R D O'Neill
Journal:  J Neurochem       Date:  1994-04       Impact factor: 5.372

9.  Chronic microsensors for longitudinal, subsecond dopamine detection in behaving animals.

Authors:  Jeremy J Clark; Stefan G Sandberg; Matthew J Wanat; Jerylin O Gan; Eric A Horne; Andrew S Hart; Christina A Akers; Jones G Parker; Ingo Willuhn; Vicente Martinez; Scott B Evans; Nephi Stella; Paul E M Phillips
Journal:  Nat Methods       Date:  2009-12-27       Impact factor: 28.547

10.  The amygdala is a chemosensor that detects carbon dioxide and acidosis to elicit fear behavior.

Authors:  Adam E Ziemann; Jason E Allen; Nader S Dahdaleh; Iuliia I Drebot; Matthew W Coryell; Amanda M Wunsch; Cynthia M Lynch; Frank M Faraci; Matthew A Howard; Michael J Welsh; John A Wemmie
Journal:  Cell       Date:  2009-11-25       Impact factor: 41.582

View more
  47 in total

1.  In vivo comparison of norepinephrine and dopamine release in rat brain by simultaneous measurements with fast-scan cyclic voltammetry.

Authors:  Jinwoo Park; Pavel Takmakov; R Mark Wightman
Journal:  J Neurochem       Date:  2011-10-20       Impact factor: 5.372

2.  Dopamine measurement during prolonged deep brain stimulation: a proof-of-principle study of paired pulse voltammetry.

Authors:  Seungleal Brian Paek; Emily Jane Knight; Su-Youne Chang; J Luis Lujan; Dong Pyo Jang; Kevin E Bennet; Kendall H Lee
Journal:  Biomed Eng Lett       Date:  2013-03-01

3.  An implantable multimodal sensor for oxygen, neurotransmitters, and electrophysiology during spreading depolarization in the deep brain.

Authors:  Caddy N Hobbs; Justin A Johnson; Matthew D Verber; R Mark Wightman
Journal:  Analyst       Date:  2017-08-07       Impact factor: 4.616

4.  Background Signal as an in Situ Predictor of Dopamine Oxidation Potential: Improving Interpretation of Fast-Scan Cyclic Voltammetry Data.

Authors:  Carl J Meunier; James G Roberts; Gregory S McCarty; Leslie A Sombers
Journal:  ACS Chem Neurosci       Date:  2017-01-24       Impact factor: 4.418

Review 5.  Fast-Scan Cyclic Voltammetry: Chemical Sensing in the Brain and Beyond.

Authors:  James G Roberts; Leslie A Sombers
Journal:  Anal Chem       Date:  2017-12-15       Impact factor: 6.986

6.  Instrumentation for fast-scan cyclic voltammetry combined with electrophysiology for behavioral experiments in freely moving animals.

Authors:  Pavel Takmakov; Collin J McKinney; Regina M Carelli; R Mark Wightman
Journal:  Rev Sci Instrum       Date:  2011-07       Impact factor: 1.523

7.  Computational Modeling of Neurotransmitter Release Evoked by Electrical Stimulation: Nonlinear Approaches to Predicting Stimulation-Evoked Dopamine Release.

Authors:  James K Trevathan; Ali Yousefi; Hyung Ook Park; John J Bartoletta; Kip A Ludwig; Kendall H Lee; J Luis Lujan
Journal:  ACS Chem Neurosci       Date:  2017-02-06       Impact factor: 4.418

8.  Failure of Standard Training Sets in the Analysis of Fast-Scan Cyclic Voltammetry Data.

Authors:  Justin A Johnson; Nathan T Rodeberg; R Mark Wightman
Journal:  ACS Chem Neurosci       Date:  2016-01-27       Impact factor: 4.418

9.  Construction of Training Sets for Valid Calibration of in Vivo Cyclic Voltammetric Data by Principal Component Analysis.

Authors:  Nathan T Rodeberg; Justin A Johnson; Courtney M Cameron; Michael P Saddoris; Regina M Carelli; R Mark Wightman
Journal:  Anal Chem       Date:  2015-10-27       Impact factor: 6.986

10.  Comparison of dopamine kinetics in the larval Drosophila ventral nerve cord and protocerebrum with improved optogenetic stimulation.

Authors:  Eve Privman; B Jill Venton
Journal:  J Neurochem       Date:  2015-09-18       Impact factor: 5.372

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.