Magnetoencephalography (MEG) is a powerful technique for functional neuroimaging, offering a non-invasive window on brain electrophysiology. MEG systems have traditionally been based on cryogenic sensors which detect the small extracranial magnetic fields generated by synchronised current in neuronal assemblies, however, such systems have fundamental limitations. In recent years, non-cryogenic quantum-enabled sensors, called optically-pumped magnetometers (OPMs), in combination with novel techniques for accurate background magnetic field control, have promised to lift those restrictions offering an adaptable, motion-robust MEG system, with improved data quality, at reduced cost. However, OPM-MEG remains a nascent technology, and whilst viable systems exist, most employ small numbers of sensors sited above targeted brain regions. Here, building on previous work, we construct a wearable OPM-MEG system with 'whole-head' coverage based upon commercially available OPMs, and test its capabilities to measure alpha, beta and gamma oscillations. We design two methods for OPM mounting; a flexible (EEG-like) cap and rigid (additively-manufactured) helmet. Whilst both designs allow for high quality data to be collected, we argue that the rigid helmet offers a more robust option with significant advantages for reconstruction of field data into 3D images of changes in neuronal current. Using repeat measurements in two participants, we show signal detection for our device to be highly robust. Moreover, via application of source-space modelling, we show that, despite having 5 times fewer sensors, our system exhibits comparable performance to an established cryogenic MEG device. While significant challenges still remain, these developments provide further evidence that OPM-MEG is likely to facilitate a step change for functional neuroimaging.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274815PMC
http://dx.doi.org/10.1016/j.neuroimage.2020.116995DOI Listing

Publication Analysis

Top Keywords

functional neuroimaging
8
multi-channel whole-head
4
opm-meg
4
whole-head opm-meg
4
opm-meg helmet
4
helmet design
4
design comparison
4
comparison conventional
4
system
4
conventional system
4

Similar Publications

Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography.

Bioengineering (Basel)

December 2024

Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, 37 Xueyuan Rd., Haidian District, Beijing 100083, China.

Optically pumped magnetometer magnetoencephalography (OPM-MEG) represents a novel method for recording neural signals in the brain, offering the potential to measure critical neuroimaging characteristics such as effective brain networks. Effective brain networks describe the causal relationships and information flow between brain regions. In constructing effective brain networks using Granger causality, the noise in the multivariate autoregressive model (MVAR) is typically assumed to follow a Gaussian distribution.

View Article and Find Full Text PDF

Brain Imaging and Cognitive Deficits in Psychiatric Disorders.

Biomedicines

December 2024

Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China.

Over the last three decades, various neuroimaging techniques, such as magnetic resonance imaging (MRI), functional MRI, and positron emission tomography (PET), have played an essential role in improving our understanding of the pathogenesis of neuropsychiatric disorders [...

View Article and Find Full Text PDF

Action video games foster competitive environments that demand rapid spatial navigation and decision-making. Action video gamers often exhibit faster response times and slightly improved accuracy in vision-based sensorimotor tasks. However, the underlying functional and structural changes in the two visual streams of the brain that may be contributing to these cognitive improvements have been unclear.

View Article and Find Full Text PDF

Schizophrenia, a highly complex psychiatric disorder, presents significant challenges in diagnosis and treatment due to its multifaceted neurobiological underpinnings. Recent advancements in functional magnetic resonance imaging (fMRI) and artificial intelligence (AI) have revolutionized the understanding and management of this condition. This manuscript explores how the integration of these technologies has unveiled key insights into schizophrenia's structural and functional neural anomalies.

View Article and Find Full Text PDF

Objectives: This study aimed to investigate the onset time to habitual psychogenic non-epileptic seizures (PNES) in adults referred to Guy's and St Thomas' Neurophysiology Department for home video telemetry (HVT) with a clinical question of PNES. The primary objective was to determine the optimal time window for HVT recording for patients with suspected PNES to try to improve the allocation of clinical resources. The secondary objective was to explore any potential association between time to habitual PN ES onset and demographic indexes and other clinical, neuro-radiological and semiological findings.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!