A single‐parameter logistic equation for fitting concentration‐response curves from standard acute ecotoxicity assays

Trögl, Josef; Benediktová, Kateřina; Pilařová, Věra; Synek, Václav

doi:10.1002/etc.2328

Cited by 4 publications

(6 citation statements)

References 18 publications

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“…Therefore, brain activity increases until reaching a plateau. Functions, such as the Weibull distribution, better modelled these sigmoidal relationships (Trögl & Benediktov a, 2011;Weibull, 1951). This class of functions is more sophisticated and captures more subtle hypothesized inflexions in brain-behaviour relationships than a quadratic model.…”

Section: Discussionmentioning

confidence: 99%

Quantifying neural efficiency and neural capacity across the brain during a working memory task using a quadratic model of neural–cognitive relationships

Steffener

Aïn

Frasnelli

2021

Eur J of Neuroscience

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Task-based functional magnetic resonance imaging (MRI) neuroimaging for the study of cognitive neuroscience provides insight into how the brain responds to increasing cognitive demands. Theoretical models of neuralcognitive relationships define neural efficiency and neural capacity as two parameters to describe the rate of gain of brain activity and the upper limits of the increases, respectively. Although qualitatively well described, there are limited discussions and demonstrations of estimating these parameters from data. The current work presents a method using a quadratic equation model of cognitive demands. The methods were applied to 21 healthy young adults while engaging in four levels of the verbal n-back working memory task (0, 1, 2 and 3-back). Measures of the area under the curve captured both linear and curvilinear responses to quantify the locations and amounts of task-related increases in brain activity. In addition, we calculated voxel-wise maps of neural efficiency and neural capacity. Results showed increases in brain activation in regions typically involved in working memory. The relationships between increasing cognitive demands and brain activity also differed across the brain within and between individuals, as indicated by differential neural efficiency and neural capacity values. This approach provides tools for evaluating current theories about the relationships between brain activity and cognition. Neural efficiency and neural capacity provide physiological measures of brain activity, which will help evaluate how age, disease and intervention processes affect brain activity. Finally, all presented methods are readily applicable using standard current software packages for neuroimaging.

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Section: Discussionmentioning

confidence: 99%

Quantifying neural efficiency and neural capacity across the brain during a working memory task using a quadratic model of neural–cognitive relationships

Steffener

Aïn

Frasnelli

2021

Eur J of Neuroscience

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“…Toxicity to the brine shrimp Artemia salina was determined according to the procedure described previously. 37 In Vitro rMSC PrestoBlue Cytotoxicity Assay. Rat bone marrow mesenchymal stem cells (Rattus norvegicus, Sigma-Aldrich Inc.) were used to evaluate in vitro cytotoxicity to mammalian cells, as described in detail in the Supporting Information.…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

“…See detailed procedures in the Supporting Information. Toxicity to the brine shrimp Artemia salina was determined according to the procedure described previously …”

Section: Methodsmentioning

confidence: 99%

Cerium–Bismuth Oxides/Oxynitrates with Low Toxicity for the Removal and Degradation of Organophosphates and Bisphenols

Henych

Šťastný

Němečková

et al. 2022

ACS Appl. Nano Mater.

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Nanoscale cerium–bismuth oxides/oxynitrates were prepared by a scalable low-temperature method at ambient pressure using water as the sole solvent. Solid solutions were formed up to a 1:1 Ce/Bi molar ratio, while at higher doping levels, bismuth oxynitrate photocatalysts with a pronounced layered structure were formed. Bismuth caused significant changes in the structure and surface properties of nanoceria, such as the formation of defects, oxygen-containing surface groups, and Lewis and Brønsted acid sites. The prepared bifunctional adsorbents/photocatalysts were efficient in the removal of toxic organophosphate (methyl paraoxon) from water by reactive adsorption followed by photocatalytic decomposition of the parent compound and its degradation product (p-nitrophenol). Bi-doped ceria also effectively adsorbed and photodegraded the endocrine disruptors bisphenols A and S and outperformed pure ceria and the P25 photocatalyst in terms of efficiency, durability, and long-term stability. The very low toxicity of Bi-nanoceria to mammalian cells, aquatic organisms, and bacteria has been demonstrated by comprehensive in vivo/in vitro testing, which, in addition to its simple “green” synthesis, high activity, and durability, makes Bi-doped ceria promising for safe use in abatement of toxic chemicals.

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“…For a monotonic concentration-response relationship, the CRC may be described quantitatively by the classical Hill equation. 25,26 For a given concentration, C, the response/effect, E, can be calculated by the Hill equation with four parameters:…”

Section: Model Coefficient Estimationmentioning

confidence: 99%

JSFit: a method for the fitting and prediction of J- and S-shaped concentration–response curves

Wang

Liu

2018

RSC Adv.

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A single‐parameter logistic equation for fitting concentration‐response curves from standard acute ecotoxicity assays

Cited by 4 publications

References 18 publications

Quantifying neural efficiency and neural capacity across the brain during a working memory task using a quadratic model of neural–cognitive relationships

Quantifying neural efficiency and neural capacity across the brain during a working memory task using a quadratic model of neural–cognitive relationships

Cerium–Bismuth Oxides/Oxynitrates with Low Toxicity for the Removal and Degradation of Organophosphates and Bisphenols

JSFit: a method for the fitting and prediction of J- and S-shaped concentration–response curves

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