Literature DB >> 27782541

BabyMEG: A whole-head pediatric magnetoencephalography system for human brain development research.

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.

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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


  16 in total

1.  MNE Scan: Software for real-time processing of electrophysiological data.

Authors:  Lorenz Esch; Limin Sun; Viktor Klüber; Seok Lew; Daniel Baumgarten; P Ellen Grant; Yoshio Okada; Jens Haueisen; Matti S Hämäläinen; Christoph Dinh
Journal:  J Neurosci Methods       Date:  2018-04-03       Impact factor: 2.390

Review 2.  Magnetoencephalography for brain electrophysiology and imaging.

Authors:  Sylvain Baillet
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

3.  Magnetic Source Imaging Using a Pulsed Optically Pumped Magnetometer Array.

Authors:  Amir Borna; Tony R Carter; Paul DeRego; Conrad D James; Peter D D Schwindt
Journal:  IEEE Trans Instrum Meas       Date:  2018-07-23       Impact factor: 4.016

4.  Vibrotactile piezoelectric stimulation system with precise and versatile timing control for somatosensory research.

Authors:  Limin Sun; Yoshio Okada
Journal:  J Neurosci Methods       Date:  2019-02-07       Impact factor: 2.390

5.  A 20-channel magnetoencephalography system based on optically pumped magnetometers.

Authors:  Amir Borna; Tony R Carter; Josh D Goldberg; Anthony P Colombo; Yuan-Yu Jau; Christopher Berry; Jim McKay; Julia Stephen; Michael Weisend; Peter D D Schwindt
Journal:  Phys Med Biol       Date:  2017-11-10       Impact factor: 3.609

6.  Noise cancellation for a whole-head magnetometer-based MEG system in hospital environment.

Authors:  Limin Sun; Matti S Hämäläinen; Yoshio Okada
Journal:  Biomed Phys Eng Express       Date:  2018-08-07

Review 7.  IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG).

Authors:  Riitta Hari; Sylvain Baillet; Gareth Barnes; Richard Burgess; Nina Forss; Joachim Gross; Matti Hämäläinen; Ole Jensen; Ryusuke Kakigi; François Mauguière; Nobukatzu Nakasato; Aina Puce; Gian-Luca Romani; Alfons Schnitzler; Samu Taulu
Journal:  Clin Neurophysiol       Date:  2018-04-17       Impact factor: 3.708

8.  Magnetoencephalography and the infant brain.

Authors:  Yu-Han Chen; Joni Saby; Emily Kuschner; William Gaetz; J Christopher Edgar; Timothy P L Roberts
Journal:  Neuroimage       Date:  2019-01-24       Impact factor: 6.556

Review 9.  Exploring early human brain development with structural and physiological neuroimaging.

Authors:  Lana Vasung; Esra Abaci Turk; Silvina L Ferradal; Jason Sutin; Jeffrey N Stout; Banu Ahtam; Pei-Yi Lin; P Ellen Grant
Journal:  Neuroimage       Date:  2018-07-21       Impact factor: 6.556

Review 10.  Short-range connections in the developmental connectome during typical and atypical brain maturation.

Authors:  Minhui Ouyang; Huiying Kang; John A Detre; Timothy P L Roberts; Hao Huang
Journal:  Neurosci Biobehav Rev       Date:  2017-10-09       Impact factor: 8.989

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