Skip to Main content Skip to Navigation
Journal articles

Notip: Non-parametric True Discovery Proportion control for brain imaging

Abstract : Cluster-level inference procedures are widely used for brain mapping. These methods compare the size of clusters obtained by thresholding brain maps to an upper bound under the global null hypothesis, computed using Random Field Theory or permutations. However, the guarantees obtained by this type of inference-i.e. at least one voxel is truly activated in the cluster-are not informative with regards to the strength of the signal therein. There is thus a need for methods to assess the amount of signal within clusters; yet such methods have to take into account that clusters are defined based on the data, which creates circularity in the inference scheme. This has motivated the use of post hoc estimates that allow statistically valid estimation of the proportion of activated voxels in clusters. In the context of fMRI data, the All-Resolutions Inference framework introduced in [24] provides post hoc estimates of the proportion of activated voxels. However, this method relies on parametric threshold families, which results in conservative inference. In this paper, we leverage randomization methods to adapt to data characteristics and obtain tighter false discovery control. We obtain Notip: a powerful, non-parametric method that yields statistically valid estimation of the proportion of activated voxels in data-derived clusters. Numerical experiments demonstrate substantial power gains compared with state-of-the-art methods on 36 fMRI datasets. The conditions under which the proposed method brings benefits are also discussed.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03649114
Contributor : Alexandre BLAIN Connect in order to contact the contributor
Submitted on : Monday, August 8, 2022 - 7:17:57 PM
Last modification on : Wednesday, September 28, 2022 - 12:08:05 PM

File

Notip_v2.pdf
Files produced by the author(s)

Identifiers

Citation

Alexandre Blain, Bertrand Thirion, Pierre Neuvial. Notip: Non-parametric True Discovery Proportion control for brain imaging. NeuroImage, Elsevier, 2022, 260, pp.119492. ⟨10.1016/j.neuroimage.2022.119492⟩. ⟨hal-03649114v3⟩

Share

Metrics

Record views

147

Files downloads

29