Add to ORKGIn recent years, the lack of reproducibility of research findings has become an important source of concern in many scientific fields, including functional Magnetic Resonance Imaging (fMRI). The low statistical power induced by low sample sizes was identified as one of the leading causes of irreproducibility in fMRI studies. The development of data sharing in the field of neuroimaging opens up new opportunities to perform studies with larger sample sizes by reusing existing data, possibly coming from different datasets. However, doing so may require combining data which have been processed differently. In this thesis, we investigated the impact of analytical variability -- the variability induced by different processing pipelines – on the v...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. He...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. He...
International audienceThe increased amount of shared data creates an opportunity to reuse existing d...
In recent years, the lack of reproducibility of research findings has become an important source of ...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. He...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. He...
International audienceThe increased amount of shared data creates an opportunity to reuse existing d...
In recent years, the lack of reproducibility of research findings has become an important source of ...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. He...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. He...
International audienceThe increased amount of shared data creates an opportunity to reuse existing d...