To build a representation of what we see, the human brain recruits regions throughout the\nvisual cortex in cascading sequence. Recently, an approach was proposed to evaluate the dynamics\nof visual perception in high spatiotemporal resolution at the scale of the whole brain. This method\ncombined functional magnetic resonance imaging (fMRI) data with magnetoencephalography (MEG)\ndata using representational similarity analysis and revealed a hierarchical progression from primary\nvisual cortex through the dorsal and ventral streams. To assess the replicability of this method,\nwe here present the results of a visual recognition neuro-imaging fusion experiment and compare\nthem within and across experimental settings. We evaluated the reliability of this method by\nassessing the consistency of the results under similar test conditions, showing high agreement\nwithin participants. We then generalized these results to a separate group of individuals and visual\ninput by comparing them to the fMRI-MEG fusion data of Cichy et al (2016), revealing a highly\nsimilar temporal progression recruiting both the dorsal and ventral streams. Together these results are\na testament to the reproducibility of the fMRI-MEG fusion approach and allows for the interpretation\nof these spatiotemporal dynamic in a broader context.
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