Back to Search Start Over

Geometric constraints on human brain function

Authors :
Pang, James C.
Aquino, Kevin M.
Oldehinkel, Marianne
Robinson, Peter A.
Fulcher, Ben D.
Breakspear, Michael
Fornito, Alex
Source :
Nature; June 2023, Vol. 618 Issue: 7965 p566-574, 9p
Publication Year :
2023

Abstract

The anatomy of the brain necessarily constrains its function, but precisely how remains unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics are driven by interactions between discrete, functionally specialized cell populations connected by a complex array of axonal fibres1–3. However, predictions from neural field theory, an established mathematical framework for modelling large-scale brain activity4–6, suggest that the geometry of the brain may represent a more fundamental constraint on dynamics than complex interregional connectivity7,8. Here, we confirm these theoretical predictions by analysing human magnetic resonance imaging data acquired under spontaneous and diverse task-evoked conditions. Specifically, we show that cortical and subcortical activity can be parsimoniously understood as resulting from excitations of fundamental, resonant modes of the brain’s geometry (that is, its shape) rather than from modes of complex interregional connectivity, as classically assumed. We then use these geometric modes to show that task-evoked activations across over 10,000 brain maps are not confined to focal areas, as widely believed, but instead excite brain-wide modes with wavelengths spanning over 60 mm. Finally, we confirm predictions that the close link between geometry and function is explained by a dominant role for wave-like activity, showing that wave dynamics can reproduce numerous canonical spatiotemporal properties of spontaneous and evoked recordings. Our findings challenge prevailing views and identify a previously underappreciated role of geometry in shaping function, as predicted by a unifying and physically principled model of brain-wide dynamics.

Details

Language :
English
ISSN :
00280836 and 14764687
Volume :
618
Issue :
7965
Database :
Supplemental Index
Journal :
Nature
Publication Type :
Periodical
Accession number :
ejs63206061
Full Text :
https://doi.org/10.1038/s41586-023-06098-1