4.7 Article

Real-time electrochemical monitoring of brain tissue oxygen: A surrogate for functional magnetic resonance imaging in rodents

期刊

NEUROIMAGE
卷 52, 期 2, 页码 549-555

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2010.04.187

关键词

-

向作者/读者索取更多资源

Long-term in-vivo electrochemistry (LIVE) enables real-time monitoring and measurement of brain metabolites. In this study we have simultaneously obtained blood oxygenation level dependent (BOLD) fMRI and amperometric tissue O-2 data from rat cerebral cortex, during both increases and decreases in inspired O-2 content. BOLD and tissue O-2 measurements demonstrated close correlation (r = 0.7898) during complete (0%) O-2 removal, with marked negative responses occurring ca. 30 s after the onset of O-2 removal. Conversely, when the inspired O-2 was increased (50, 70 and 100% O-2 for 1 min) similar positive rapid changes (ca. 15 s) in both the BOLD and tissue O-2 signals were observed. These findings demonstrate, for the first time, the practical feasibility of obtaining real-time metabolite information during fMRI acquisition, and that tissue O-2 concentration monitored using an O-2 sensor can serve as an index of changes in the magnitude of the BOLD response. As LIVE O-2 sensors can be used in awake animals performing specific behavioural tasks the technique provides a viable animal surrogate of human fMRI experimentation. (C) 2010 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Multidisciplinary Sciences

Distance-dependent gradient in NMDAR-driven spine calcium signals along tapering dendrites

Alison S. Walker, Guilherme Neves, Federico Grillo, Rachel E. Jackson, Mark Rigby, Cian O'Donnell, Andrew S. Lowe, Gema Vizcay-Barrena, Roland A. Fleck, Juan Burrone

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)

Article Chemistry, Analytical

Development of a microelectrochemical biosensor for the real-time detection of choline

Keeley L. Baker, Fiachra B. Bolger, John P. Lowry

SENSORS AND ACTUATORS B-CHEMICAL (2017)

Article Optics

Multicomponent analysis using a confocal Raman microscope

Zhengyuan Tang, Sinead J. Barton, Tomas E. Ward, John P. Lowry, Michelle M. Doran, Hugh J. Byrne, Bryan M. Hennelly

APPLIED OPTICS (2018)

Article Chemistry, Analytical

Characterisation of a Platinum-based Electrochemical Biosensor for Real-time Neurochemical Analysis of Choline

Keeley L. Baker, Fiachra B. Bolger, Michelle M. Doran, John P. Lowry

ELECTROANALYSIS (2019)

Article Psychiatry

Enhanced discriminative aversive learning and amygdala responsivity in 5-HT transporter mutant mice

Joao Lima, Trevor Sharp, David M. Bannerman, Stephen B. McHugh

TRANSLATIONAL PSYCHIATRY (2019)

Article Neurosciences

Acute Inflammation Alters Brain Energy Metabolism in Mice and Humans: Role in Suppressed Spontaneous Activity, Impaired Cognition, and Delirium

John Kealy, Carol Murray, Eadaoin W. Griffin, Ana Belen Lopez-Rodriguez, Daire Healy, Lucas Silva Tortorelli, John P. Lowry, Leiv Otto Watne, Colm Cunningham

JOURNAL OF NEUROSCIENCE (2020)

Article Neurosciences

Integrating new memories into the hippocampal network activity space

Giuseppe P. Gava, Stephen B. McHugh, Laura Lefevre, Vitor Lopes-dos-Santos, Stephanie Trouche, Mohamady El-Gaby, Simon R. Schultz, David Dupret

Summary: By investigating the topology of neuronal co-activity in the mouse hippocampus network, researchers found that high-activity principal cells form the core of memories, while low-activity cells join co-activity motifs across different operational axes. This organizational principle reveals continuous integration and interaction of hippocampal memories. Gava et al. explore how new associative memories integrate into the network and restructure neural patterns representing prior memories from a graph theoretical perspective.

NATURE NEUROSCIENCE (2021)

Article Chemistry, Analytical

Design optimisation and characterisation of an amperometric glutamate oxidase-based composite biosensor for neurotransmitter L-glutamic acid

Kobi P. Bermingham, Michelle M. Doran, Fiachra B. Bolger, John P. Lowry

Summary: The performance optimization of a polymer/enzyme composite biosensor for monitoring glutamate was conducted in vitro. The biosensor displayed appropriate sensitivity, stability, and biocompatibility, and reliably detected glutamate in neurological monitoring. Implantation experiments in rats demonstrated stable recording and reliable detection of physiological changes in glutamate in response to behavioral/neuronal activation.

ANALYTICA CHIMICA ACTA (2022)

Article Neurosciences

Adult-born dentate granule cells promote hippocampal population sparsity

Stephen B. McHugh, Vitor Lopes-dos-Santos, Giuseppe P. Gava, Katja Hartwich, Shu K. E. Tam, David M. Bannerman, David Dupret

Summary: The study reveals the crucial role of adult-born granule cells (abDGCs) in controlling the information processing in the hippocampus by promoting sparser population firing and enhancing responses to novel stimuli.

NATURE NEUROSCIENCE (2022)

Article Chemistry, Analytical

Development and validation of a real-time microelectrochemical sensor for clinical monitoring of tissue oxygenation/perfusion

Gama Theophile Gnahore, Jack L. Kelly, Saidhbhe L. O'Riordan, Fiachra B. Bolger, Michelle M. Doran, Michelle Sands, John P. Lowry

ANALYTICAL METHODS (2020)

Article Behavioral Sciences

Real-time changes in hippocampal energy demands during a spatial working memory task

John Kealy, Rachel Bennett, Barbara Woods, John P. Lowry

BEHAVIOURAL BRAIN RESEARCH (2017)

Article Developmental Biology

The assembly of developing motor neurons depends on an interplay between spontaneous activity, type II cadherins and gap junctions

Karli Montague, Andrew S. Lowe, Ana Uzquiano, Athene Knu Fer, Marc Astick, Stephen R. Price, Sarah Guthrie

DEVELOPMENT (2017)

Article Neurosciences

Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models

Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle

Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.

NEUROIMAGE (2024)