Brain tissue is extremely metabolically active in part due to its need to constantly maintain a precise extracellular ionic environment. Under pathological conditions, unhealthy cortical tissue loses its ability to maintain this precise environment and there is a net efflux of charged particles from the cells. Typically, this ionic efflux is measured using ion-selective microelectrodes, which measure a single ionic species at a time. In this paper, we have used a bio-sensing method, dielectric spectroscopy (DS), which allows for the simultaneous measurement of the net efflux of all charged particles from cells by measuring extracellular conductivity. We exposed cortical brain slices from the mouse to different solutions that mimic various pathological states such as hypokalemia, hyperkalemia and ischemia (via oxygen-glucose deprivation). We have found that the changes in conductivity of the extracellular solutions were proportional to the severity of the pathological insult experienced by the brain tissue. Thus, DS allows for the measurement of changes in extracellular conductivity with enough sensitivity to monitor the health of brain tissue in vitro.
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http://dx.doi.org/10.1088/0967-3334/33/7/1249 | DOI Listing |
Exp Brain Res
January 2025
School of Rehabilitation Sciences, Université Laval, Quebec, Canada.
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View Article and Find Full Text PDFJ Mol Evol
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Faculty of Biology, Institute of Evolutionary Biology, University of Warsaw, Ul. Żwirki I Wigury 101, 02-089, Warsaw, Poland.
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View Article and Find Full Text PDFActa Neuropathol
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Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
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View Article and Find Full Text PDFJ Neurochem
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Center for Protein Diagnostics (PRODI) Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
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View Article and Find Full Text PDFJ Neurochem
January 2025
Core Facility Small Animal MRI, Ulm University, Ulm, Germany.
Proton magnetic resonance spectroscopy (MRS) offers a non-invasive, repeatable, and reproducible method for in vivo metabolite profiling of the brain and other tissues. However, metabolite fingerprinting by MRS requires high signal-to-noise ratios for accurate metabolite quantification, which has traditionally been limited to large volumes of interest, compromising spatial fidelity. In this study, we introduce a new optimized pipeline that combines LASER MRS acquisition at 11.
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