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Does Parametric fMR...
Does Parametric fMRI Analysis with SPM Yield Valid Results? - An Empirical Study of 1484 Rest Datasets
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- Eklund, Anders (författare)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Linköping University (SE)
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- Andersson, Mats (författare)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Linköping University (SE)
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- Josephson, Camilla (författare)
- Linköpings universitet,Nationalekonomi,Filosofiska fakulteten,Linköping University (SE)
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- Johannesson, Magnus (författare)
- Stockholm School of Economics,Handelshögskolan i Stockholm
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- Knutsson, Hans (författare)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Linköping University (SE)
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(creator_code:org_t)
- Elsevier, 2012
- 2012
- Engelska.
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Ingår i: NeuroImage. - : Elsevier. - 1053-8119 .- 1095-9572. ; 61:3, s. 565-578
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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http://liu.diva-port...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://research.hhs...
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Abstract
Ämnesord
Stäng
- The validity of parametric functional magnetic resonance imaging (fMRI) analysis has only been reported for simulated data.Recent advances in computer science and data sharing make it possible to analyze large amounts of real fMRI data. In this study,1484 rest datasets have been analyzed in SPM8, to estimate true familywise error rates. For a familywise significance threshold of5%, significant activity was found in 1% - 70% of the 1484 rest datasets, depending on repetition time, paradigm and parametersettings. This means that parametric significance thresholds in SPM both can be conservative or very liberal. The main reason forthe high familywise error rates seems to be that the global AR(1) auto correlation correction in SPM fails to model the spectra ofthe residuals, especially for short repetition times. The findings that are reported in this study cannot be generalized to parametricfMRI analysis in general, other software packages may give different results. By using the computational power of the graphicsprocessing unit (GPU), the 1484 rest datasets were also analyzed with a random permutation test. Significant activity was thenfound in 1% - 19% of the datasets. These findings speak to the need for a better model of temporal correlations in fMRI timeseries.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Functional magnetic resonance imaging (fMRI)
- Familywise error rate
- Random field theory
- Non-parametric statistics
- Random permutation test
- Graphics processing unit (GPU)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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