H2020Индивидуална стипендия2016–2019

Neuroimaging power · Effect size and power for neuroimaging.

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-11-01 → 2019-10-31
Финансиране от ЕС: 264 668 €
Участници: 2
Схема: MSCA-IF

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Накратко на български

Статистическата мощ при неврообразните изследвания анализира колко точно се определят ефектите в мозъка при различни задачи. Това помага за по-добра възпроизводимост на резултатите и оптимално разпределяне на времето и средствата за набиране на участници.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Effect size and power for neuroimaging.

The action "Neuroimaging power" looks at the problem of statistical power for neuroimaging studies, with concrete proposals for improvements. There is increasing concern about reproducibility in published neuroscience research. A major contributor to this problem is the prevalence of low statistical power. That is, findings from a low-power study are less likely to be reproducible and thus a power analysis is a critical component of any paper. Power calculations prevent researchers from spending time and money on studies that are underpowered, but on the other hand also prevent wasting time and money adding extra subjects, when sufficient power was already available. However, accurate power analyses for neuroimaging studies are rare, and general knowledge about effect sizes are scarce. Objectives of this Marie Sklodowska Curie Action has been to (1) increase knowledge about accurate effect sizes, (2) provide intuition about effect sizes for different tasks and brain regions and (3) predict statistical power for neuroimaging data. During this project, we expanded the availability and useability of tools to estimate and increase statistical power for neuroimaging studies.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

There is an increasing concern about statistical power in neuroscience research. Critically, an underpowered study has poor predictive power. Findings from a low-power study are unlikely to be reproducible, and thus a power analysis is a critical component of any paper. This project aims to promote and facilitate the use of power analyses.A key component of a power analysis is the specification of an effect size. However, in neuroimaging, there is no standardised way to communicate effect sizes, which makes the choice of an appropriate effect size a formidable task. The best way today to perform a power analysis is by collecting a pilot data set, a very expensive practice. To eliminate the need for pilot data, we will develop a standardised measure of effect size taking into account the spatial variance and the uncertainty of the measurements. Communicating effect sizes in new publications will facilitate the use of power analyses.To further alleviate the need for pilot data, we will provide a library of effect sizes for different tasks and contrasts, using open data projects in neuroimaging. We will integrate our effect size estimator in open repositories NeuroVault and OpenfMRI. Consequently, these effect sizes can then serve as a proxy for a pilot study, and as such, a huge cost in the design of an experiment is eliminated.A new experiment will not be identical to the open data and as such the hypothesised parameters might not be fully accurate. To address this issue, we present a flexible framework to analyse data mid-way without harming the control of the type I error rate. Such a procedure will allow re-evaluating halfway an experiment whether it is useful to continue a study, and how many more subjects are needed for statistically sound inferences.To make our methods maximally available, we will write a software suite including all these methods in different programming platforms and we will provide a GUI to further increase the use of power analyses.

Оригинален текст от CORDIS (на английски).

Участници

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE · Le Chesnay CedexКоординаторФранция
BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY · STANFORDСъединени щати