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Enhancing precision in human neuroscience

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Enhancing precision in human neuroscience. / 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 B; Feld, Gordon B.

in: ELIFE, Jahrgang 12, e85980, 09.08.2023.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Review › Forschung

Harvard

Nebe, S, Reutter, M, Baker, DH, 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, CJ, Popov, T, Puhlmann, LMC, Quintana, DS, Schäfer, T, Schubert, A-L, Sperl, MFJ, Vehlen, A, Lonsdorf, TB & Feld, GB 2023, 'Enhancing precision in human neuroscience', ELIFE, Jg. 12, e85980. https://doi.org/10.7554/eLife.85980

APA

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., ... Feld, G. B. (2023). Enhancing precision in human neuroscience. ELIFE, 12, [e85980]. https://doi.org/10.7554/eLife.85980

Vancouver

Nebe S, Reutter M, Baker DH, Bölte J, Domes G, Gamer M et al. Enhancing precision in human neuroscience. ELIFE. 2023 Aug 9;12. e85980. https://doi.org/10.7554/eLife.85980

Bibtex

@article{d7434363c388478d8624909509f1f544,
title = "Enhancing precision in human neuroscience",
abstract = "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.",
keywords = "Humans, Reproducibility of Results, Neurosciences, Sample Size, Magnetic Resonance Imaging",
author = "Stephan Nebe and Mario Reutter and Baker, {Daniel H} and Jens B{\"o}lte and Gregor Domes and Matthias Gamer and Anne G{\"a}rtner and Carsten Gie{\ss}ing and Caroline Gurr and Kirsten Hilger and Philippe Jawinski and Louisa Kulke and Alexander Lischke and Sebastian Markett and Maria Meier and Merz, {Christian J} and Tzvetan Popov and Puhlmann, {Lara M C} and Quintana, {Daniel S} and Tim Sch{\"a}fer and Anna-Lena Schubert and Sperl, {Matthias F J} and Antonia Vehlen and Lonsdorf, {Tina B} and Feld, {Gordon B}",
note = "{\textcopyright} 2023, Nebe, Reutter et al.",
year = "2023",
month = aug,
day = "9",
doi = "10.7554/eLife.85980",
language = "English",
volume = "12",
journal = "ELIFE",
issn = "2050-084X",
publisher = "eLife Sciences Publications",

}

RIS

TY - JOUR

T1 - Enhancing precision in human neuroscience

AU - Nebe, Stephan

AU - Reutter, Mario

AU - Baker, Daniel H

AU - Bölte, Jens

AU - Domes, Gregor

AU - Gamer, Matthias

AU - Gärtner, Anne

AU - Gießing, Carsten

AU - Gurr, Caroline

AU - Hilger, Kirsten

AU - Jawinski, Philippe

AU - Kulke, Louisa

AU - Lischke, Alexander

AU - Markett, Sebastian

AU - Meier, Maria

AU - Merz, Christian J

AU - Popov, Tzvetan

AU - Puhlmann, Lara M C

AU - Quintana, Daniel S

AU - Schäfer, Tim

AU - Schubert, Anna-Lena

AU - Sperl, Matthias F J

AU - Vehlen, Antonia

AU - Lonsdorf, Tina B

AU - Feld, Gordon B

N1 - © 2023, Nebe, Reutter et al.

PY - 2023/8/9

Y1 - 2023/8/9

N2 - 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.

AB - 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.

KW - Humans

KW - Reproducibility of Results

KW - Neurosciences

KW - Sample Size

KW - Magnetic Resonance Imaging

U2 - 10.7554/eLife.85980

DO - 10.7554/eLife.85980

M3 - SCORING: Review article

C2 - 37555830

VL - 12

JO - ELIFE

JF - ELIFE

SN - 2050-084X

M1 - e85980

ER -