Adaptive smoothing as inference strategy: More specificity for unequally sized or neighboring regions
dc.bibliographicCitation.volume | 1805 | |
dc.contributor.author | Welvaert, Marijke | |
dc.contributor.author | Tabelow, Karsten | |
dc.contributor.author | Seurinck, Ruth | |
dc.contributor.author | Rosseel, Yves | |
dc.date.accessioned | 2016-03-24T17:37:19Z | |
dc.date.available | 2019-06-28T08:15:54Z | |
dc.date.issued | 2013 | |
dc.description.abstract | Although spatial smoothing of fMRI data can serve multiple purposes, increasing the sensitivity of activation detection is probably its greatest benefit. However, this increased detection power comes with a loss of specificity when non-adaptive smoothing (i.e. the standard in most software packages) is used. Simulation studies and analysis of experimental data was performed using the R packages neu-Rosim and fmri. In these studies, we systematically investigated the effect of spatial smoothing on the power and number of false positives in two particular cases that are often encountered in fMRI research: (1) Single condition activation detection for regions that differ in size, and (2) multiple condition activation detection for neighbouring regions. Our results demonstrate that adaptive smoothing is superior in both cases because less false positives are introduced by the spatial smoothing process compared to standard Gaussian smoothing or FDR inference of unsmoothed data. | eng |
dc.description.version | publishedVersion | eng |
dc.format | application/pdf | |
dc.identifier.issn | 0946-8633 | |
dc.identifier.uri | https://doi.org/10.34657/1919 | |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/3047 | |
dc.language.iso | eng | eng |
dc.publisher | Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik | eng |
dc.relation.ispartofseries | Preprint / Weierstraß-Institut für Angewandte Analysis und Stochastik , Volume 1805, ISSN 0946-8633 | eng |
dc.rights.license | This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties. | eng |
dc.rights.license | Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. | ger |
dc.subject | False positive rate and fmri and gaussian smoothing and power and structural adaptive segmentation | eng |
dc.subject.ddc | 510 | eng |
dc.title | Adaptive smoothing as inference strategy: More specificity for unequally sized or neighboring regions | eng |
dc.type | report | eng |
dc.type | Text | eng |
dcterms.bibliographicCitation.journalTitle | Preprint / Weierstraß-Institut für Angewandte Analysis und Stochastik | eng |
tib.accessRights | openAccess | eng |
wgl.contributor | WIAS | eng |
wgl.subject | Mathematik | eng |
wgl.type | Report / Forschungsbericht / Arbeitspapier | eng |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 755984544.pdf
- Size:
- 633.82 KB
- Format:
- Adobe Portable Document Format
- Description: