| Literature DB >> 27782541 |
Yoshio Okada1, Matti Hämäläinen2, Kevin Pratt3, Anthony Mascarenas3, Paul Miller3, Menglai Han3, Jose Robles3, Anders Cavallini3, Bill Power3, Kosal Sieng3, Limin Sun1, Seok Lew1, Chiran Doshi1, Banu Ahtam1, Christoph Dinh4, Lorenz Esch4, Ellen Grant1, Aapo Nummenmaa2, Douglas Paulson3.
Abstract
We developed a 375-channel, whole-head magnetoencephalography (MEG) system ("BabyMEG") for studying the electrophysiological development of human brain during the first years of life. The helmet accommodates heads up to 95% of 36-month old boys in the USA. The unique two-layer sensor array consists of: (1) 270 magnetometers (10 mm diameter, ∼15 mm coil-to-coil spacing) in the inner layer, (2) thirty-five three-axis magnetometers (20 mm × 20 mm) in the outer layer 4 cm away from the inner layer. Additionally, there are three three-axis reference magnetometers. With the help of a remotely operated position adjustment mechanism, the sensor array can be positioned to provide a uniform short spacing (mean 8.5 mm) between the sensor array and room temperature surface of the dewar. The sensors are connected to superconducting quantum interference devices (SQUIDs) operating at 4.2 K with median sensitivity levels of 7.5 fT/√Hz for the inner and 4 fT/√Hz for the outer layer sensors. SQUID outputs are digitized by a 24-bit acquisition system. A closed-cycle helium recycler provides maintenance-free continuous operation, eliminating the need for helium, with no interruption needed during MEG measurements. BabyMEG with the recycler has been fully operational from March, 2015. Ongoing spontaneous brain activity can be monitored in real time without interference from external magnetic noise sources including the recycler, using a combination of a lightly shielded two-layer magnetically shielded room, an external active shielding, a signal-space projection method, and a synthetic gradiometer approach. Evoked responses in the cortex can be clearly detected without averaging. These new design features and capabilities represent several advances in MEG, increasing the utility of this technique in basic neuroscience as well as in clinical research and patient studies.Entities:
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Year: 2016 PMID: 27782541 DOI: 10.1063/1.4962020
Source DB: PubMed Journal: Rev Sci Instrum ISSN: 0034-6748 Impact factor: 1.523