ArticleHuman brain mapping2021
Optimal design of on-scalp electromagnetic sensor arrays for brain source localisation.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Spatial-Jitter Model for Magnetoencephalography Sensor Arrays.IEEE transactions on medical imaging · 2026Article
- Optimizing OPM-MEG Sensor Layouts Using the Sequential Selection Algorithm with Simulated Sources and Individual Anatomy.Sensors (Basel, Switzerland) · 2026Article
- Enhanced Neural Decoding With Optically Pumped Magnetometer MEG Using Multivariate Pattern Analysis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Optimization and Analysis of Tangential Component Orientations in OPM-MEG Sensor Array.Bioengineering (Basel, Switzerland) · 2025Article
- Volume conductor models for magnetospinography.Scientific reports · 2025Article
- Optimization of OPM-MEG Layouts with a Limited Number of Sensors.Sensors (Basel, Switzerland) · 2025Article
- A fully integrated whole-head helium OPM MEG: a performance assessment compared to cryogenic MEG.Frontiers in medical technology · 2025Article
- Optimizing magnetometers arrays and analysis pipelines for multivariate pattern analysis.Journal of neuroscience methods · 2024Article
- Applications of OPM-MEG for translational neuroscience: a perspective.Translational psychiatry · 2024Review
- Optimising the sensitivity of optically-pumped magnetometer magnetoencephalography to gamma band electrophysiological activity.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Single-trial classification of evoked responses to auditory tones using OPM- and SQUID-MEG.Journal of neural engineering · 2023Article
- A minimum assumption approach to MEG sensor array design.Physics in medicine and biology · 2023Article
- Yttrium-Iron Garnet Magnetometer in MEG: Advance towards Multi-Channel Arrays.Sensors (Basel, Switzerland) · 2023Article
- Non-invasive measurements of ictal and interictal epileptiform activity using optically pumped magnetometers.Scientific reports · 2023Article
- Article
- Spherical harmonic based noise rejection and neuronal sampling with multi-axis OPMs.NeuroImage · 2022Article
- A Comparative Study on the Influence of Undersampling and Oversampling Techniques for the Classification of Physical Activities Using an Imbalanced Accelerometer Dataset.Healthcare (Basel, Switzerland) · 2022Article
- On-scalp magnetocorticography with optically pumped magnetometers: Simulated performance in resolving simultaneous sources.Neuroimage. Reports · 2022Article
- Simulation Study of Different OPM-MEG Measurement Components.Sensors (Basel, Switzerland) · 2022Article
- Imaging somatosensory cortex responses measured by OPM-MEG: Variational free energy-based spatial smoothing estimation approach.iScience · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optically pumped magnetometers (OPMs) are quickly widening the scopes of noninvasive neurophysiological imaging. The possibility of placing these magnetic field sensors on the scalp allows not only to acquire signals from people in movement, but also to reduce the distance between the sensors and the brain, with a consequent gain in the signal-to-noise ratio. These advantages make the technique particularly attractive to characterise sources of brain activity in demanding populations, such as children and patients with epilepsy. However, the technology is currently in an early stage, presenting new design challenges around the optimal sensor arrangement and their complementarity with other techniques as electroencephalography (EEG). In this article, we present an optimal array design strategy focussed on minimising the brain source localisation error. The methodology is based on the Cramér-Rao bound, which provides lower error bounds on the estimation of source parameters regardless of the algorithm used. We utilise this framework to compare whole head OPM arrays with commercially available electro/magnetoencephalography (E/MEG) systems for localising brain signal generators. In addition, we study the complementarity between EEG and OPM-based MEG, and design optimal whole head systems based on OPMs only and a combination of OPMs and EEG electrodes for characterising deep and superficial sources alike. Finally, we show the usefulness of the approach to find the nearly optimal sensor positions minimising the estimation error bound in a given cortical region when a limited number of OPMs are available. This is of special interest for maximising the performance of small scale systems to ad hoc neurophysiological experiments, a common situation arising in most OPM labs.
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