OpenAlex ·
Temporally constraining source imaging estimates in an underdetermined neural system with eigenmodes of cortical geometry
- Published
- Source
- OpenAlex
- DOI
- 10.48550/arxiv.2609.00809
- Original
- Read it at the publisher
- Topics
Abstract
Geometric eigenmodes provide a compact and biologically grounded representation of large-scale neural activity. Previous work demonstrated that they can mitigate the underdetermined nature of electroencephalographic (EEG) and magnetoencephalographic (MEG) source localisation, an ill-posed inverse problem in which neural activity is reconstructed from non-invasive recordings. Beyond their spatial structure, neural field theory predicts the temporal evolution of eigenmodes through analytically derived transfer functions. Motivated by this framework, the present work investigates whether these transfer functions can be used to introduce temporal constraints into EEG source imaging. The approach is evaluated using simulated seizure dynamics generated by coupled Epileptor neural mass models. Transfer functions derived directly from neural field theory were found to be generally ineffective as temporal constraints for source localisation, primarily because they neglect cross-eigenmode coupling. Incorporating empirically estimated coupling terms substantially improves localisation performance, particularly in noisy conditions. Although estimating these eigenmode coupling interactions from experimental data remains challenging, the findings motivate dynamical source imaging approaches that combine spatial eigenmode structure with empirically informed cross-modal dynamics.
The authors’ abstract, as arXiv lists it. arXiv’s listings, abstracts included, are free for anyone to reuse.
Read it on ReadSearch
Each opens after you create an account, and brings you back to this paper.
More in Mathematical Physics
Cross-Modal Guidance for Out-of-View Object Search in Simulated Prosthetic Vision
A Roadmap for MEG Foundation Models
A distributed-delay Wilson-Cowan model of sleep-related rhythms in the corticothalamic system
Formation of structural attractors in neuromorphic systems
An Intelligent Decision Support System for Emotion Monitoring using Microscopic Fixational Dynamics
Get the few papers worth your time in Mathematical Physics every morning.
ReadSearch reads the new papers in your field each day and brings you the few worth reading, each with its key finding in a sentence.