Literature DB >> 15936956

Multifocal fMRI mapping of visual cortical areas.

S Vanni1, L Henriksson, A C James.   

Abstract

The multifocal mapping of electroretinograms and visual evoked potentials has established an important role in both basic research and in diagnostic procedures. We have developed a multifocal mapping method for fMRI, which allows detailed analysis of multiple local visual field representations in the cortex with excellent spatial resolution. Visual field was divided into 60 regions in a dartboard configuration, scaled according to the human magnification factor. Within blocks of 7 s, half of the regions were stimulated with checkerboard patterns contrast reversing at 8 reversals per second, while the other half remained inactive at uniform luminance. The subset of active regions changed with each 7-s block, according to an orthogonal design. Functional MRI was done with a 3-T GE Signa and analyzed with SPM2. A general linear model was fitted producing activation maps for each of the 60 regions, and local signal changes were quantified from V1. These activation maps were next assigned to 3D surface models of the cortical sheet, and then unfolded, using the Brain à la Carte software package. Phase-encoded retinotopic analysis of conventional design served as qualitative comparison data. With multifocal fMRI, all regions were mapped with good signal-to-noise ratio in V1, and subsets of regions showed activation in V2 and V3. This method allows rapid and direct exploration of multiple local visual responses, and is thus able to give complementary information to phase encoded mapping of retinotopic areas.

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Year:  2005        PMID: 15936956     DOI: 10.1016/j.neuroimage.2005.01.046

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


  23 in total

1.  Spatial summation revealed in the earliest visual evoked component C1 and the effect of attention on its linearity.

Authors:  Juan Chen; Qing Yu; Ziyun Zhu; Yujia Peng; Fang Fang
Journal:  J Neurophysiol       Date:  2015-11-11       Impact factor: 2.714

2.  From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.

Authors:  Samuel A Inverso; Xin-Lin Goh; Linda Henriksson; Simo Vanni; Andrew C James
Journal:  Hum Brain Mapp       Date:  2016-02-12       Impact factor: 5.038

3.  Automatic fMRI-guided MEG multidipole localization for visual responses.

Authors:  Toni Auranen; Aapo Nummenmaa; Simo Vanni; Aki Vehtari; Matti S Hämäläinen; Jouko Lampinen; Iiro P Jääskeläinen
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

4.  Quantitative multifocal fMRI shows active suppression in human V1.

Authors:  Miika Pihlaja; Linda Henriksson; Andrew C James; Simo Vanni
Journal:  Hum Brain Mapp       Date:  2008-09       Impact factor: 5.038

5.  Representation of cross-frequency spatial phase relationships in human visual cortex.

Authors:  Linda Henriksson; Aapo Hyvärinen; Simo Vanni
Journal:  J Neurosci       Date:  2009-11-11       Impact factor: 6.167

6.  Is selective primary visual cortex stimulation achievable with TMS?

Authors:  Niina Salminen-Vaparanta; Valdas Noreika; Antti Revonsuo; Mika Koivisto; Simo Vanni
Journal:  Hum Brain Mapp       Date:  2011-03-17       Impact factor: 5.038

Review 7.  Modeling fMRI signals can provide insights into neural processing in the cerebral cortex.

Authors:  Simo Vanni; Fariba Sharifian; Hanna Heikkinen; Ricardo Vigário
Journal:  J Neurophysiol       Date:  2015-05-13       Impact factor: 2.714

8.  Feedback to distal dendrites links fMRI signals to neural receptive fields in a spiking network model of the visual cortex.

Authors:  Hanna Heikkinen; Fariba Sharifian; Ricardo Vigario; Simo Vanni
Journal:  J Neurophysiol       Date:  2015-04-29       Impact factor: 2.714

9.  Compressive spatial summation in human visual cortex.

Authors:  Kendrick N Kay; Jonathan Winawer; Aviv Mezer; Brian A Wandell
Journal:  J Neurophysiol       Date:  2013-04-24       Impact factor: 2.714

10.  Temporal structure of human magnetic evoked fields.

Authors:  David P Crewther; Alyse Brown; Laila Hugrass
Journal:  Exp Brain Res       Date:  2016-03-07       Impact factor: 1.972

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