2001
DOI: 10.1016/s0956-5663(01)00236-6
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Development of a neuronal pressure sensor

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Cited by 6 publications
(6 citation statements)
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“…1 ("Cellular Barosensitivity") and illustrated in Fig. 2 and elsewhere (90,138,150,153,192), neuronal barosensitivity, as defined by changes in firing rate, V m , and R in , occurs at 2.5-4 ATA and possibly as low as 100 mmHg (ϳ1.13 ATA or ϳ0.13 ATG) (2). Because relatively few studies have attempted to differentiate the effects of hydrostatic pressure from gas partial pressure in the mCNS, especially at PB Ͻ5 ATA (89), we would argue that it is premature to conclude that small changes in physical pressure do not alter neuronal function in the mCNS.…”
Section: Thermodynamic Reactions Vs Mechanical Forcesmentioning
confidence: 99%
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“…1 ("Cellular Barosensitivity") and illustrated in Fig. 2 and elsewhere (90,138,150,153,192), neuronal barosensitivity, as defined by changes in firing rate, V m , and R in , occurs at 2.5-4 ATA and possibly as low as 100 mmHg (ϳ1.13 ATA or ϳ0.13 ATG) (2). Because relatively few studies have attempted to differentiate the effects of hydrostatic pressure from gas partial pressure in the mCNS, especially at PB Ͻ5 ATA (89), we would argue that it is premature to conclude that small changes in physical pressure do not alter neuronal function in the mCNS.…”
Section: Thermodynamic Reactions Vs Mechanical Forcesmentioning
confidence: 99%
“…Excitable cells in invertebrates are barosensitive to ambient pressures ranging from 4 to 10 ATA by using either true hydrostatic compression or He compression (34,47,48,192). Similarly, neurons in the rat brain stem are barosensitive to even smaller pressures of only 2.4-4 ATA He (58,150,153), and brief hydraulic pressures ranging from 1.17 to 4.0 ATA can alter neuronal excitability in dorsal root ganglion neurons (90,138,181). For example, Fig.…”
Section: Hydrostatic Compression Of the Brainmentioning
confidence: 99%
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“…We are attempting to recreate this circuit on a microcantilever-based bio-MEMS (bio-microelectromechanical systems) device. In vitro neuronal network models have multiple potential applications in advanced medical diagnostic, cell-based biosensors, neurological implants, and high throughput drug/toxin screening, as well as fundamental neurobiological studies (Gross et al 1995;Ravenscroft et al 1998;Scholl et al 2000;Heal et al 2001).…”
Section: Introductionmentioning
confidence: 99%