Literature DB >> 12498741

fMRI retinotopic mapping--step by step.

J Warnking1, M Dojat, A Guérin-Dugué, C Delon-Martin, S Olympieff, N Richard, A Chéhikian, C Segebarth.   

Abstract

fMRI retinotopic mapping provides detailed information about the correspondence between the visual field and its cortical representation in the individual subject. Besides providing for the possibility of unambiguously localizing functional imaging data with respect to the functional architecture of the visual system, it is a powerful tool for the investigation of retinotopic properties of visual areas in the healthy and impaired brain. fMRI retinotopic mapping differs conceptually from a more traditional volume-based, block-type, or event-related analysis, in terms of both the surface-based analysis of the data and the phase-encoded paradigm. Several methodological works related to fMRI retinotopic mapping have been published. However, a detailed description of all the methods involved, discussing the steps from stimulus design to the processing of phase data on the surface, is still missing. We describe here step by step our methodology for the complete processing chain. Besides reusing methods proposed by other researchers in the field, we introduce original ones: improved stimuli for the mapping of polar angle retinotopy, a method of assigning volume-based functional data to the surface, and a way of weighting phase information optimally to account for the SNR obtained locally. To assess the robustness of these methods we present a study performed on three subjects, demonstrating the reproducibility of the delineation of low order visual areas.

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Year:  2002        PMID: 12498741     DOI: 10.1006/nimg.2002.1304

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  55 in total

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Review 2.  SUMA.

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5.  Novel magnetomechanical MR compatible vibrational device for producing kinesthetic illusion during fMRI.

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7.  DIFFEOMORPHIC REGISTRATION FOR RETINOTOPIC MAPPING VIA QUASICONFORMAL MAPPING.

Authors:  Yanshuai Tu; Duyan Ta; Xianfeng David Gu; Zhong-Lin Lu; Yalin Wang
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2020-05-22

8.  Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping.

Authors:  Yanshuai Tu; Duyan Ta; Zhong-Lin Lu; Yalin Wang
Journal:  Med Image Comput Comput Assist Interv       Date:  2020-09-29

9.  Early visual cortex reflects initiation and maintenance of task set.

Authors:  Abdurahman S Elkhetali; Ryan J Vaden; Sean M Pool; Kristina M Visscher
Journal:  Neuroimage       Date:  2014-12-06       Impact factor: 6.556

10.  Influence of white matter anisotropic conductivity on EEG source localization: comparison to fMRI in human primary visual cortex.

Authors:  Won Hee Lee; Zhongming Liu; Bryon A Mueller; Kelvin Lim; Bin He
Journal:  Clin Neurophysiol       Date:  2009-10-14       Impact factor: 3.708

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