Author's Accepted Manuscript
Audio-visual integration through the par- allel visual pathways
Péter Kaposvári, Gerg� Csete, Anna Bognár, Péter Csibri, Eszter Tóth, Nikoletta Szabó, László Vécsei, Gyula Sáry, Zsigmond Tamás Kincses
PII: S0006-8993(15)00518-1
DOI: http://dx.doi.org/10.1016/j.brainres.2015.06.036 Reference: BRES44330
To appear in: Brain Research Received date:5 January 2015 Revised date: 20 May 2015 Accepted date:
23 June 2015
Cite this article as: Péter Kaposvári, Gerg� Csete, Anna Bognár, Péter Csibri, Eszter Tóth, Nikoletta Szabó, László Vécsei, Gyula Sáry, Zsig- mond Tamás Kincses, Audio-visual integration through the parallel visual pathways,Brain Research, http://dx.doi.org/10.1016/j.brainres.2015.06.036 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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Audio-visual integration through the parallel visual pathways
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White matter integrity and structural connectivity were recently of interest as concerns the determination of the connection between structure and function. The variation of the connectivity profile of certain regions can predict a variation in function (Behrens et al., 2006; Johansen-Berg et al., 2004; Klein et al., 2007; Saygin et al., 2012). Local diffusion features of the white matter supported to be related to the behavioural performance D "6=(HL 2==G6 A higher FA in the corpus callosum was related to a better bimanual coordination (Johansen-Berg et al., 2007). A training-induced FA increase has been detected in the intraparietal sulcus (Scholz et al., 2009). It has also been shown that a greater BOLD response in the visual cortex correlates with a higher FA in the optic radiation (Toosy et al., 2004). Neuroimaging and histological studies have been combined recently that demonstrated that spatial learning and motor learning result in locally enhanced myelination (Blumenfeld-Katzir et al., 2011; Sampaio-Baptista et al., 2013), which is reflected in enhanced FA in the diffusion MRI.
The relationships between these white matter diffusion properties and histological properties are not yet clear, but nerve diameter and myelination that relate to the microstructure measurable with DTI can also relate to the conduction velocity and dispersion of the neuronal signal (Hodgkin and Huxley, 1952). As regarding the functional significance of the diffusion-measured microstructure, recently it was shown that the FA of the white matter pathway neurophysiology measured functional connectivity of the connected regions is correlated (Boorman et al., 2007; Neubert et al., 2010).
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Isoluminant control 3.592 0.211 0.087 0.140 0.9084 0.0229 0.0813 0.0253 double flash 1.721 0.244 -1.605 0.180 0.9750 0.0108 0.6667 0.0761 Low contrast control 3.461 0.216 -0.057 0.130 0.9229 0.0210 0.0917 0.0244 double flash 1.917 0.270 -1.604 0.166 0.9729 0.0115 0.6521 0.0811
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A robust double flash illusion was found using both magno and parvo optimalized visual stimuli.
DTI data show correlation between psychophysical results and local fractional anisotropy.
The low contrast condition revealed a positive correlation between the local fractional anisotropy and the occipito-parietal white matter.
In the isoluminant condition similar correlation was found in the infero-temporal white matter.
Tractography originating from these areas matches the dorsal and ventral visual pathways.
Figure
Figure
Conditions d' mean±SEMC mean±SEMHit mean±SEMFalse alarm mean±SEM Isoluminantcontrol3.592 0.2110.0870.1400.90840.02290.08130.0253 double flash1.721 0.244-1.6050.1800.9750 0.01080.66670.0761 Low contrast control3.461 0.216-0.057 0.1300.92290.02100.09170.0244 double flash1.917 0.270-1.6040.1660.97290.01150.65210.0811
Table
p<No. ofvoxels X (mm)Y (mm)Z (mm) Right insular WM0.001563612-14 Right infero-temporal WM0.0013345-60-8 Left insular WM0.00110-32210
Table
p<No.of voxels X (mm)Y (mm)Z (mm) Cerebellar WM0.001582-17-65-33 Right parieto-occipital junction0.0015352-519 Right fronto-polar WM0.0011022567 Right superior frontal WM0.0054172151
Table
