Fine-scale computations for adaptive processing in the human brain.
Kemper, Valentin G
Goncalves, Nuno Reis
Bell, Samuel J
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Zamboni, E., Kemper, V. G., Goncalves, N. R., Jia, K., Karlaftis, V., Bell, S. J., Giorgio, J., et al. (2020). Fine-scale computations for adaptive processing in the human brain.. eLife, 9 https://doi.org/10.7554/elife.57637
27 Adapting to the environment statistics by reducing brain responses to repetitive sensory 28 information is key for efficient information processing. Yet, the fine-scale computations that 29 support this adaptive processing in the human brain remain largely unknown. Here, we 30 capitalize on the sub-millimetre resolution of ultra-high field imaging to examine fMRI 31 signals across cortical depth and discern competing hypotheses about the brain mechanisms 32 (feedforward vs. feedback) that mediate adaptive processing. We demonstrate layer-specific 33 suppressive processing within visual cortex, as indicated by stronger BOLD decrease in 34 superficial and middle than deeper layers for gratings that were repeatedly presented at the 35 same orientation. Further, we show altered functional connectivity for adaptation: enhanced 36 feedforward connectivity from V1 to higher visual areas, short-range feedback connectivity 37 between V1 and V2 and long-range feedback occipito-parietal connectivity. Our findings 38 provide evidence for a circuit of local recurrent and feedback interactions that mediate rapid 39 brain plasticity for adaptive information processing.
Is supplemented by: https://doi.org/10.17863/CAM.60330
UKRI | Biotechnology and Biological Sciences Research Council (BBSRC): Zoe Kourtzi, H012508; UKRI | Biotechnology and Biological Sciences Research Council (BBSRC): Zoe Kourtzi, BB/P021255/1; Wellcome Trust (WT): Zoe Kourtzi, 205067/Z/16/Z
Wellcome Trust (205067/Z/16/Z)
Embargo Lift Date
External DOI: https://doi.org/10.7554/elife.57637
This record's URL: https://www.repository.cam.ac.uk/handle/1810/312756
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