Enhancing precision in human neuroscience
Nebe S, Reutter M, Baker DH, Bölte J, Domes G, Gamer M, Gärtner A, Giessing C, Gurr C, Hilger K, Jawinski P, et al. (2023)
eLife 12: e85980.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Nebe, Stephan;
Reutter, Mario;
Baker, Daniel H.;
Bölte, Jens;
Domes, Gregor;
Gamer, Matthias;
Gärtner, Anne;
Giessing, Carsten;
Gurr, Caroline;
Hilger, Kirsten;
Jawinski, Philippe;
Kulke, Louisa
Alle
Alle
Abstract / Bemerkung
Human neuroscience has always been pushing the boundary of what is measurable. During the last decade, concerns about statistical power and replicability - in science in general, but also specifically in human neuroscience - have fueled an extensive debate. One important insight from this discourse is the need for larger samples, which naturally increases statistical power. An alternative is to increase the precision of measurements, which is the focus of this review. This option is often overlooked, even though statistical power benefits from increasing precision as much as from increasing sample size. Nonetheless, precision has always been at the heart of good scientific practice in human neuroscience, with researchers relying on lab traditions or rules of thumb to ensure sufficient precision for their studies. In this review, we encourage a more systematic approach to precision. We start by introducing measurement precision and its importance for well-powered studies in human neuroscience. Then, determinants for precision in a range of neuroscientific methods (MRI, M/EEG, EDA, Eye-Tracking, and Endocrinology) are elaborated. We end by discussing how a more systematic evaluation of precision and the application of respective insights can lead to an increase in reproducibility in human neuroscience.
Stichworte
human neuroscience;
precision;
experimental methods;
sample size;
reliability;
generalizability
Erscheinungsjahr
2023
Zeitschriftentitel
eLife
Band
12
Art.-Nr.
e85980
eISSN
2050-084X
Page URI
https://pub.uni-bielefeld.de/record/2982425
Zitieren
Nebe S, Reutter M, Baker DH, et al. Enhancing precision in human neuroscience. eLife . 2023;12: e85980.
Nebe, S., Reutter, M., Baker, D. H., Bölte, J., Domes, G., Gamer, M., Gärtner, A., et al. (2023). Enhancing precision in human neuroscience. eLife , 12, e85980. https://doi.org/10.7554/eLife.85980
Nebe, Stephan, Reutter, Mario, Baker, Daniel H., Bölte, Jens, Domes, Gregor, Gamer, Matthias, Gärtner, Anne, et al. 2023. “Enhancing precision in human neuroscience”. eLife 12: e85980.
Nebe, S., Reutter, M., Baker, D. H., Bölte, J., Domes, G., Gamer, M., Gärtner, A., Giessing, C., Gurr, C., Hilger, K., et al. (2023). Enhancing precision in human neuroscience. eLife 12:e85980.
Nebe, S., et al., 2023. Enhancing precision in human neuroscience. eLife , 12: e85980.
S. Nebe, et al., “Enhancing precision in human neuroscience”, eLife , vol. 12, 2023, : e85980.
Nebe, S., Reutter, M., Baker, D.H., Bölte, J., Domes, G., Gamer, M., Gärtner, A., Giessing, C., Gurr, C., Hilger, K., Jawinski, P., Kulke, L., Lischke, A., Markett, S., Meier, M., Merz, C.J., Popov, T., Puhlmann, L.M.C., Quintana, D.S., Schäfer, T., Schubert, A.-L., Sperl, M.F.J., Vehlen, A., Lonsdorf, T., Feld, G.B.: Enhancing precision in human neuroscience. eLife . 12, : e85980 (2023).
Nebe, Stephan, Reutter, Mario, Baker, Daniel H., Bölte, Jens, Domes, Gregor, Gamer, Matthias, Gärtner, Anne, Giessing, Carsten, Gurr, Caroline, Hilger, Kirsten, Jawinski, Philippe, Kulke, Louisa, Lischke, Alexander, Markett, Sebastian, Meier, Maria, Merz, Christian J., Popov, Tzvetan, Puhlmann, Lara M. C., Quintana, Daniel S., Schäfer, Tim, Schubert, Anna-Lena, Sperl, Matthias F. J., Vehlen, Antonia, Lonsdorf, Tina, and Feld, Gordon B. “Enhancing precision in human neuroscience”. eLife 12 (2023): e85980.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
Zitationen in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
References
Daten bereitgestellt von Europe PubMed Central.
Export
Markieren/ Markierung löschen
Markierte Publikationen
Web of Science
Dieser Datensatz im Web of Science®Quellen
PMID: 37555830
PubMed | Europe PMC
Suchen in