![]() The similarity between vision and touch also extends to categorization tasks with novel objects and to real‐world natural objects. ![]() Further support for shared object representations comes from a series of recent studies showing that both vision and touch are able to reconstruct highly abstract shape spaces of novel objects. ![]() Previous studies have, indeed, shown that information travels fairly easily between vision and touch -one potential reason for this may be that object representations may be multisensory in nature being activated by visual or tactile input. Imagine that you want to find an object (such as your keys) in the depths of your pocket or handbag-in order to solve this task, visual information will need to activate or prime touch information so that you can locate the object without visual input. These findings provide clear evidence that individual variation in visuo‐haptic performance can be linked to microstructural characteristics of WM pathways. Importantly, haptic test‐performance (and symbol‐coding performance) correlated with FA in ILF and with axial diffusivity in SLF ft. WM analyses showed that fast visual learners exhibited higher fractional anisotropy (FA) in left SLF ft and left VOF. Haptic performance also was correlated with performance in the symbol‐coding task. Behavioral results showed that haptic categorization performance was good on average but exhibited large inter‐individual variability. We then correlated visual training‐performance and haptic test‐performance, as well as performance on a symbol‐coding task requiring visuo‐motor dexterity with microstructural properties of WM bundles potentially involved in visuo‐haptic processing (the inferior longitudinal fasciculus, the fronto‐temporal part of the superior longitudinal fasciculus and the vertical occipital fasciculus ). We first trained participants on a fine‐grained categorization task of novel shapes in the visual domain, followed by a haptic categorization test. Here, we investigate whether this individual variation may be reflected in microstructural characteristics of white‐matter (WM) pathways. Interestingly, in such tasks considerable individual variation in cross‐modal transfer performance was observed. In particular, recent neuroimaging studies have shown that visually learned novel objects that were haptically tested recruited parts of the ventral pathway from early visual cortex to the temporal lobe. Previous studies on visuo‐haptic shape processing provide evidence that visually learned shape information can transfer to the haptic domain.
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