Zugriffsnummer 44736
Dokumenttyp Zeitschriftenartikel Open Access Hybrid
Peer Review mit Peer Review
Sprache Englisch
Titel The empirical replicability of task-based fMRI as a function of sample size
Autor(in); Institution
Bossier, H.; Department of Data Analysis, Ghent University, Ghent, BELGIUM
Roels, S.; Department of Data Analysis, Ghent University, Ghent, Belgium
Seurinck, R.; Department of Data Analysis, Ghent University, Ghent, Belgium
Banaschewski, T.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Barker, G.; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
Bokde, A.; Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, IRELAND
Quinlan, E.; Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
Desrivières, S.; Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
Flor, H.; Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Grigis, A.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Garavan, H.; Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
Gowland, P.; Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
Heinz, A.; Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Berlin, GERMANY
Ittermann, Bernd; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Martinot, J.-L.; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes, Sorbonne Paris Cité and Maison de Solenn, Paris, FRANCE
Artiges, E.; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes, Sorbonne Paris Cité and Psychiatry Department, Orsay Hospital, FRANCE
Nees, F.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Papadopoulos Orfanos, D.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Poustka, L.; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, GERMANY
Fröhner, J.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Smolka, M.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Walter, H.; Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Berlin, GERMANY
Whelan, R.; School of Psychology and Global Brain Health Institute, Trinity College Dublin, IRELAND
Schumann, G.; Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
Moerkerke, B.; Department of Data Analysis, Ghent University, Ghent, BELGIUM
Quelle/Jahr Neuroimage: 212 (2020), 12 S.
Artikelnummer 116601
ISSN 1053-8119 (PRINT) ; 1095-9572 (ONLINE)
DOI
Verlag Amsterdam: Elsevier
Freie Schlagworte Task-based fMRI ; Replicability ; Reproducibility ; Reliability ; Stability ; Coherence
Zusammenfassung Replicating results (i.e. obtaining consistent results using a new independent dataset) is an essential part of good science. As replicability has consequences for theories derived from empirical studies, it is of utmost importance to better understand the underlying mechanisms influencing it. A popular tool for non-invasive neuroimaging studies is functional magnetic resonance imaging (fMRI). While the effect of underpowered studies is well documented, the empirical assessment of the interplay between sample size and replicability of results for task-based fMRI studies remains limited. In this work, we extend existing work on this assessment in two ways. Firstly, we use a large database of 1400 subjects performing four types of tasks from the IMAGEN project to subsample a series of independent samples of increasing size. Secondly, replicability is evaluated using a multi-dimensional framework consisting of 3 different measures: (un)conditional test-retest reliability, coherence and stability. We demonstrate not only a positive effect of sample size, but also a trade-off between spatial resolution and replicability. When replicability is assessed voxelwise or when observing small areas of activation, a larger sample size than typically used in fMRI is required to replicate results. On the other hand, when focussing on clusters of voxels, we observe a higher replicability. In addition, we observe variability in the size of clusters of activation between experimental paradigms or contrasts of parameter estimates within these
Kostenfreier Zugang Open Access Hybrid
Rechteinformation CC BY 4.0 ; Creative Commons Attribution 4.0 License
Themenbereich der Metrologie Metrologie in der Medizin

Zitierung

Bossier, H., Roels, S., Seurinck, R., Banaschewski, T., Barker, G., Bokde, A., Quinlan, E., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Artiges, E., Nees, F., Papadopoulos Orfanos, D., Poustka, L., Fröhner, J., Smolka, M., Walter, H., Whelan, R., Schumann, G., & Moerkerke, B. (2020). The empirical replicability of task-based fMRI as a function of sample size. Neuroimage, 212, 12 S. https://doi.org/10.1016/j.neuroimage.2020.116601

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