In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@article{Luppi:2022:10.1038/s41593-022-01070-0,
author = {Luppi, A and Mediano, PAM and Rosas, FE and Holland, N and Fryer, TD and O'Brien, JT and Rowe, JB and Menon, DK and Bor, D and Stamatakis, EA},
doi = {10.1038/s41593-022-01070-0},
journal = {Nature Neuroscience},
pages = {771--782},
title = {A synergistic core for human brain evolution and cognition},
url = {http://dx.doi.org/10.1038/s41593-022-01070-0},
volume = {25},
year = {2022}
}
TY - JOUR
AB - How does the organization of neural information processing enable humans’ sophisticated cognition? Here we decompose functional interactions between brain regions into synergistic and redundant components, revealing their distinct information-processing roles. Combining functional and structural neuroimaging with meta-analytic results, we demonstrate that redundant interactions are predominantly associated with structurally coupled, modular sensorimotor processing. Synergistic interactions instead support integrative processes and complex cognition across higher-order brain networks. The human brain leverages synergistic information to a greater extent than nonhuman primates, with high-synergy association cortices exhibiting the highest degree of evolutionary cortical expansion. Synaptic density mapping from positron emission tomography and convergent molecular and metabolic evidence demonstrate that synergistic interactions are supported by receptor diversity and human-accelerated genes underpinning synaptic function. This information-resolved approach provides analytic tools to disentangle information integration from coupling, enabling richer, more accurate interpretations of functional connectivity, and illuminating how the human neurocognitive architecture navigates the trade-off between robustness and integration.
AU - Luppi,A
AU - Mediano,PAM
AU - Rosas,FE
AU - Holland,N
AU - Fryer,TD
AU - O'Brien,JT
AU - Rowe,JB
AU - Menon,DK
AU - Bor,D
AU - Stamatakis,EA
DO - 10.1038/s41593-022-01070-0
EP - 782
PY - 2022///
SN - 1097-6256
SP - 771
TI - A synergistic core for human brain evolution and cognition
T2 - Nature Neuroscience
UR - http://dx.doi.org/10.1038/s41593-022-01070-0
UR - https://www.nature.com/articles/s41593-022-01070-0
UR - http://hdl.handle.net/10044/1/115643
VL - 25
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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