53 research outputs found
Temperature affects the silicate morphology in a diatom
No full textTemperature affects the silicate morphology in a diatom Javaheri, N.; Dries, R.M.; Burson, A.M.; Stal, L.J.; Sloot, P.M.A.; Kaandorp, J.A. Published in: Scientific Reports DOI: 10.1038/srep11652 Link to publication Citation for published version (APA): Javaheri, N., Dries, R., Burson, A., Stal, L. J., Sloot, P. M. A., & Kaandorp, J. A. (2015). Temperature affects the silicate morphology in a diatom. Scientific Reports, 5, [11652]. https://doi.org/10.1038/srep11652 General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. , and 23 °C ). We observed three distinct temperature-dependent growth phases. The morphology of silica was investigated using scanning electron microscopy followed by image analysis and supervised learning. The silica in the valves of the same species showed different structures: a mesh-like pattern in silicon-rich cultures and a treelike pattern in silicon-limited cultures. Moreover, temperature affected this silica pattern, especially in silicon-limited cultures. We conclude that cells grown at 14 °C and 18 °C divide more successfully in Si-limited conditions by developing a tree-like pattern (lower silicification)
From attributes to value: neural correlates of a front-of-package label on food decision-making – an fMRI study
No full textDiet-related chronic diseases remain a major public health concern worldwide, motivating policymakers to implement behavioral interventions such as front-of-package labels (FoPLs) to encourage healthier food choices. Although FoPLs like the Nutri-Score are increasingly used to communicate nutritional quality in a simple way, little is known about how they shape specific attributes of food perception and choice, and how these effects manifest in the brain.
This dissertation bridges behavioral economics and cognitive neuroscience to examine how a simplified color-coded frame, modeled on the Nutri-Score system, influences food-related decisions. Using a multi-method design, the project first established robust theoretical and methodological foundations through targeted pilot experiments. These confirmed that the chosen valuation paradigm and the operationalization of the color-coded frame reliably affect willingness-to-pay (WTP), perceived healthiness, and tastiness.
In the main fMRI experiment, forty healthy participants (28 females, age: M = 23.8 years, SD = 3.1 years) rated food products under control and treatment conditions while brain activity was recorded. Results showed that the color-coded frame systematically decreased WTP and tastiness ratings for less healthy items and aligned healthiness perceptions with the nutritional information implied by the frame. Neural data revealed distinct patterns of activity within valuation-related areas (e.g., ventromedial prefrontal cortex, anterior prefrontal cortex), regions linked to self-regulation and goal-directed behavior (e.g., dorsolateral prefrontal cortex, inferior frontal gyrus), and the thalamus, highlighting the interplay of reward processing, cognitive control, and homeostatic integration. Additional analyses examined how nutritional composition interacted with the label’s effect and explored whether FoPLs alter the supra-additive reward response to high-fat, high-carbohydrate foods. Finally, out-of-sample forecasting demonstrated that neural measures, particularly signals in the nucleus accumbens and medial prefrontal cortex, could predict binary choices for new products, underlining the added value of neural data beyond self-reports.
Taken together, these findings show that FoPLs can shift food choices by engaging affective and deliberative pathways, supporting a goal-directed decision-making process. This work offers new insights into the conditions under which labeling can alter habitual patterns and provides a neurobehavioral basis for designing nudges that promote sustained healthy eating
Results fMRI - 2nd level analyses
No full textHere you can find all 2nd level results for the contrast analyses, the conjunciton analysis, as well as the parametric modulation analysis for WT
From attributes to value: The neural impact of a front-of-packaging label on food decision-making - an fMRI study
No full textThis project includes all data and analysis plan for the project "From attributes to value: The neural impact of a front-of-packaging label on food decision-making - an fMRI study
Scripts (fMRI and Behavioral)
No full textHere you can find the following scripts:
Behavioral:
- ANOVA and Reaction time analysis under behavioral_analysis.R
- Multilevel analysis under multilevel_analysis_NJ.R (needs also df_nddm.csv)
fMRI:
- preprocessing.m (includes all preprocessing steps)
- GLM contrasts analysis (1stlevel and 2ndlevel analysis)
- Conjunction analysi
- …
