The impact of heterogeneous spatial autocorrelation on comparisons of brain maps

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 14, 2024

Abstract It is increasingly common to statistically compare macroscopic brain maps assess how spatially similar they are. Due the presence of spatial autocorrelation, statistical inference can be challenging; address this, random permutation approaches based on null models are widely used. Here, we show that heterogeneity in autocorrelation across may affect for correlated maps. In response, highlight need explicitly model processes, including non-stationarity, more accurate inference. We illustrate a Bayesian regression approach applied functional and structural cortical maps, even heterogeneity. By modelling processes underlying data, much wider sophisticated range neurobiological questions answered about relationship between than with current approaches.

Language: Английский

Hippocampal connectivity patterns echo macroscale cortical evolution in the primate brain

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 16, 2024

Abstract While the hippocampus is key for human cognitive abilities, it also a phylogenetically old cortex and paradoxically considered evolutionarily preserved. Here, we introduce comparative framework to quantify preservation reconfiguration of hippocampal organisation in primate evolution, by analysing as an unfolded cortical surface that geometrically matched across species. Our findings revealed overall conservation macro- micro-structure, which shows anterior-posterior and, perpendicularly, subfield-related organisational axes both humans macaques. However, while functional species followed axis, observed marked latter species, mirrors rudimentary integration default-mode-network non-human primates. Here show microstructurally preserved regions like may still undergo due their embedding within heteromodal association networks.

Language: Английский