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Type Journal Article
Scope Discipline-based scholarship
Title Enhancing precision in human neuroscience
Organization Unit
Authors
  • Stephan Nebe
  • Mario Reutter
  • Daniel H Baker
  • Jens Bölte
  • Gregor Domes
  • Matthias Gamer
  • Anne Gärtner
  • Carsten Gießing
  • Caroline Gurr
  • Kirsten Hilger
  • Philippe Jawinski
  • Louisa Kulke
  • Alexander Lischke
  • Sebastian Markett
  • Maria Meier
  • Christian J Merz
  • Tzvetan Popov
  • Lara M C Puhlmann
  • Daniel S Quintana
  • Tim Schäfer
  • Anna-Lena Schubert
  • Matthias F J Sperl
  • Antonia Vehlen
  • Tina B Lonsdorf
  • Gordon B Feld
Item Subtype Further Contribution (e.g. review article, editorial)
Refereed Yes
Status Published in final form
Language
  • English
Journal Title eLife
Publisher eLife Sciences Publications Ltd.
Geographical Reach international
ISSN 2050-084X
Volume 12
Page Range 85980
Date 2023
Abstract Text 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.
Free access at DOI
Official URL https://doi.org/10.7554/eLife.85980
Digital Object Identifier 10.7554/elife.85980
Other Identification Number merlin-id:24205
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Keywords Neuroscience, precision, MRI, EEG, MEG, EDA, Eyetracking, Endocrinology