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Brain geometry, not just connectivity, shapes brain function. This study reveals that brain activity arises from resonant modes of the brain's shape, challenging traditional neuroscience models.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Neuroimaging

Background:

  • The classical view posits brain function is driven by specialized neuronal populations and their complex connectivity.
  • Neural field theory suggests brain geometry may be a more fundamental constraint on large-scale brain dynamics.

Purpose of the Study:

  • To investigate the role of brain geometry versus interregional connectivity in constraining brain function.
  • To test theoretical predictions from neural field theory using human neuroimaging data.

Main Methods:

  • Analysis of human magnetic resonance imaging (MRI) data under spontaneous and task-evoked conditions.
  • Modeling brain activity as excitations of geometric resonant modes.
  • Examination of task-evoked activations across over 10,000 brain maps.

Main Results:

  • Cortical and subcortical activity are explained by resonant modes of brain geometry, challenging the primacy of complex connectivity.
  • Task-evoked activations excite brain-wide modes with wavelengths over 60 mm, not just focal areas.
  • Wave-like activity dynamics explain the link between geometry and function, reproducing spatiotemporal properties of brain recordings.

Conclusions:

  • Brain geometry plays a fundamental, underappreciated role in shaping brain function.
  • Findings support a unifying, physically principled model of brain-wide dynamics.
  • Challenges prevailing paradigms in neuroscience regarding the drivers of neuronal dynamics.