fMRat: an extension of SPM for a fully automatic analysis of rodent brain functional magnetic resonance series.

The purpose of this study was to develop a multi-platform automatic software tool for full processing of fMRI rodent studies. Existing tools require the usage of several different plug-ins, a significant user interaction and/or programming skills. Based on a user-friendly interface, the tool provide...

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Publicado en:Medical & Biological Engineering & Computing Vol. 54; no. 5; pp. 743 - 753
Autores principales: Chavarrías, Cristina, García-Vázquez, Verónica, Alemán-Gómez, Yasser, Montesinos, Paula, Pascau, Javier, Desco, Manuel
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature May2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2016
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      pub: Springer Nature
      place: New York, New York
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          Chavarrías, Cristina
          García-Vázquez, Verónica
          Alemán-Gómez, Yasser
          Montesinos, Paula
          Pascau, Javier
          Desco, Manuel
          Chavarrías, Cristina
          García-Vázquez, Verónica
          Alemán-Gómez, Yasser
        affil: Instituto de Investigación Sanitaria Gregorio Marañón, Doctor Esquerdo 46 28007 Madrid Spain
      sug:
        subj:
          Algorithms
          Magnetic Resonance Imaging Methods
          Brain Physiology
          Rats
          Computer Graphics
          User-Computer Interface
          Animal Studies
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
      ab: The purpose of this study was to develop a multi-platform automatic software tool for full processing of fMRI rodent studies. Existing tools require the usage of several different plug-ins, a significant user interaction and/or programming skills. Based on a user-friendly interface, the tool provides statistical parametric brain maps (t and Z) and percentage of signal change for user-provided regions of interest. The tool is coded in MATLAB (MathWorks(®)) and implemented as a plug-in for SPM (Statistical Parametric Mapping, the Wellcome Trust Centre for Neuroimaging). The automatic pipeline loads default parameters that are appropriate for preclinical studies and processes multiple subjects in batch mode (from images in either Nifti or raw Bruker format). In advanced mode, all processing steps can be selected or deselected and executed independently. Processing parameters and workflow were optimized for rat studies and assessed using 460 male-rat fMRI series on which we tested five smoothing kernel sizes and three different hemodynamic models. A smoothing kernel of FWHM = 1.2 mm (four times the voxel size) yielded the highest t values at the somatosensorial primary cortex, and a boxcar response function provided the lowest residual variance after fitting. fMRat offers the features of a thorough SPM-based analysis combined with the functionality of several SPM extensions in a single automatic pipeline with a user-friendly interface. The code and sample images can be downloaded from https://github.com/HGGM-LIM/fmrat .
      pubtype: Academic Journal
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        research
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      ougenre: Article
    language: English
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