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Geometric constraints on human brain function
by
Aquino, Kevin M.
, Fornito, Alex
, Pang, James C.
, Breakspear, Michael
, Robinson, Peter A.
, Fulcher, Ben D.
, Oldehinkel, Marianne
in
59/36
/ 59/57
/ 631/378/116
/ 631/378/2649
/ Accuracy
/ Axons - physiology
/ Brain
/ Brain - anatomy & histology
/ Brain - cytology
/ Brain - physiology
/ Brain Mapping
/ Data acquisition
/ Dynamics
/ Eigenvalues
/ Field theory
/ Geometric constraints
/ Geometry
/ Humanities and Social Sciences
/ Humans
/ Image acquisition
/ Magnetic resonance
/ Magnetic Resonance Imaging
/ Mathematical models
/ multidisciplinary
/ Nervous system
/ Neural networks
/ Neuroimaging
/ Neurons - physiology
/ Neurosciences
/ Predictions
/ Science
/ Science (multidisciplinary)
/ Wavelengths
2023
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Geometric constraints on human brain function
by
Aquino, Kevin M.
, Fornito, Alex
, Pang, James C.
, Breakspear, Michael
, Robinson, Peter A.
, Fulcher, Ben D.
, Oldehinkel, Marianne
in
59/36
/ 59/57
/ 631/378/116
/ 631/378/2649
/ Accuracy
/ Axons - physiology
/ Brain
/ Brain - anatomy & histology
/ Brain - cytology
/ Brain - physiology
/ Brain Mapping
/ Data acquisition
/ Dynamics
/ Eigenvalues
/ Field theory
/ Geometric constraints
/ Geometry
/ Humanities and Social Sciences
/ Humans
/ Image acquisition
/ Magnetic resonance
/ Magnetic Resonance Imaging
/ Mathematical models
/ multidisciplinary
/ Nervous system
/ Neural networks
/ Neuroimaging
/ Neurons - physiology
/ Neurosciences
/ Predictions
/ Science
/ Science (multidisciplinary)
/ Wavelengths
2023
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Do you wish to request the book?
Geometric constraints on human brain function
by
Aquino, Kevin M.
, Fornito, Alex
, Pang, James C.
, Breakspear, Michael
, Robinson, Peter A.
, Fulcher, Ben D.
, Oldehinkel, Marianne
in
59/36
/ 59/57
/ 631/378/116
/ 631/378/2649
/ Accuracy
/ Axons - physiology
/ Brain
/ Brain - anatomy & histology
/ Brain - cytology
/ Brain - physiology
/ Brain Mapping
/ Data acquisition
/ Dynamics
/ Eigenvalues
/ Field theory
/ Geometric constraints
/ Geometry
/ Humanities and Social Sciences
/ Humans
/ Image acquisition
/ Magnetic resonance
/ Magnetic Resonance Imaging
/ Mathematical models
/ multidisciplinary
/ Nervous system
/ Neural networks
/ Neuroimaging
/ Neurons - physiology
/ Neurosciences
/ Predictions
/ Science
/ Science (multidisciplinary)
/ Wavelengths
2023
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Journal Article
Geometric constraints on human brain function
2023
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Overview
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 fibres
1
–
3
. However, predictions from neural field theory, an established mathematical framework for modelling large-scale brain activity
4
–
6
, suggest that the geometry of the brain may represent a more fundamental constraint on dynamics than complex interregional connectivity
7
,
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.
Cortical and subcortical activity can be parsimoniously understood as resulting from excitations of fundamental, resonant modes of the brain’s geometry rather than from modes of complex interregional connectivity.
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