An iterative two-threshold analysis for single-subject functional MRI of the human brain.
Objectives: Current thresholding strategies for the analysis of functional MRI (fMRI) datasets may suffer from specific limitations (e.g. with respect to the required smoothness) or lead to reduced performance for a low signal-to-noise ratio (SNR). Although a previously proposed two-threshold (TT) m...
| Publicado en: | European Radiology Vol. 21; no. 11; pp. 2369 - 2388 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Nov2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104584865&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104584865 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2011 vid: 21 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104584865 66257186 NLM21710268 2011298954 10.1007/s00330-011-2184-5 NLM21710268 104584865 ppf: 2369 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An iterative two-threshold analysis for single-subject functional MRI of the human brain. aug: au: Auer T Schweizer R Frahm J Auer, Tibor Schweizer, Renate Frahm, Jens affil: Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Am Fassberg 11, 37070 Göttingen, Germany sug: subj: Brain Pathology Brain Mapping Methods Image Processing, Computer Assisted Methods Magnetic Resonance Imaging Methods Adult Algorithms Computer Simulation Epilepsy, Temporal Lobe Diagnosis Epilepsy, Temporal Lobe Pathology Male Models, Statistical ROC Curve Walking Adult: 19-44 years Male ab: Objectives: Current thresholding strategies for the analysis of functional MRI (fMRI) datasets may suffer from specific limitations (e.g. with respect to the required smoothness) or lead to reduced performance for a low signal-to-noise ratio (SNR). Although a previously proposed two-threshold (TT) method offers a promising solution to these problems, the use of preset settings limits its performance. This work presents an optimised TT approach that estimates the required parameters in an iterative manner.Methods: The iterative TT (iTT) method is compared with the original TT method, as well as other established voxel-based and cluster-based thresholding approaches and spatial mixture modelling (SMM) for both simulated data and fMRI of a hometown walking task at different experimental settings (spatial resolution, filtering and SNR).Results: In general, the iTT method presents with remarkable sensitivity and good specificity that outperforms all conventional approaches tested except for SMM in a few cases. This also holds true for challenging conditions such as high spatial resolution, the absence of filtering, high noise level, or a low number of task repetitions.Conclusion: Thus, iTT emerges as a good candidate for both scientific fMRI studies at high spatial resolution and more routine applications for clinical purposes. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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