Literature DB >> 7144235

Quantitative analysis of methods for reducing physiological brain pulsations.

R H Britt, G T Rossi.   

Abstract

Normal movements of the mammalian brain, caused by the arterial and venous pressure fluctuations of each cardiac and respiratory cycle, have made obtaining stable intracellular recordings from neurons difficult. This study quantitated the movements of the cats' brainstem and examined the effects of traditional neurophysiological techniques used to reduce pulsation. Two components of brain movement were recorded: (1) an arterial component--relatively low amplitude (110-266 micrometers) and short duration (330-400 ms) excursions corresponding to the pressure wave of each cardiac systole [A-wave]; and (2) a pulmonary component--slower (10-12/min), high amplitude plateau-like displacement (300-950 micrometers) lasting for a time (2.4-5.1 s) corresponding to the inspiration of each respiratory cycle [P-wave]. Pneumothoraces and mechanical ventilation combined with elevating the animal's head reduced the pulmonary component by an average of 68% and the arterial component by 40%. Cerebrospinal fluid drainage could reduce the P-wave component of movement by as much as 50%. To reduce arterial pulsations below 100 micrometers, the mean arterial pressure (MAP) had to be lowered to less than 40 mm Hg, which was not compatible with maintaining normal brainstem auditory evoked responses. Residual movements at MAPs greater than 50 mm Hg were still sufficient to make stable intracellular penetration of small neurons difficult. The authors suggest the solution to this problem is the development of a cardiopulmonary bypass system which generates a non-pulsatile flow of oxygenated blood, described in a companion paper.

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Year:  1982        PMID: 7144235     DOI: 10.1016/0165-0270(82)90085-1

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  13 in total

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2.  Evidence for GABA as the transmitter for early cortically evoked inhibition of cat caudate neurons.

Authors:  P L Herrling
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3.  Autonomous control for mechanically stable navigation of microscale implants in brain tissue to record neural activity.

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4.  Imaging large-scale neural activity with cellular resolution in awake, mobile mice.

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5.  Imaging subcortical auditory activity in humans.

Authors:  A R Guimaraes; J R Melcher; T M Talavage; J R Baker; P Ledden; B R Rosen; N Y Kiang; B C Fullerton; R M Weisskoff
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

6.  In vivo mapping of the human locus coeruleus.

Authors:  Noam I Keren; Carl T Lozar; Kelly C Harris; Paul S Morgan; Mark A Eckert
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7.  Detection of physiological noise in resting state fMRI using machine learning.

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8.  Adaptive movable neural interfaces for monitoring single neurons in the brain.

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9.  Compensation of physiological motion enables high-yield whole-cell recording in vivo.

Authors:  William M Stoy; Bo Yang; Ali Kight; Nathaniel C Wright; Peter Y Borden; Garrett B Stanley; Craig R Forest
Journal:  J Neurosci Methods       Date:  2020-11-23       Impact factor: 2.987

10.  3D active stabilization system with sub-micrometer resolution.

Authors:  Olli Kursu; Tuomas Tuukkanen; Timo Rahkonen; Mikko Vähäsöyrinki
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

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