Literature DB >> 16012695

Advanced electronics for the CTF MEG system.

J McCubbin1, J Vrba, P Spear, D McKenzie, R Willis, R Loewen, S E Robinson, A A Fife.   

Abstract

Development of the CTF MEG system has been advanced with the introduction of a computer processing cluster between the data acquisition electronics and the host computer. The advent of fast processors, memory, and network interfaces has made this innovation feasible for large data streams at high sampling rates. We have implemented tasks including anti-alias filter, sample rate decimation, higher gradient balancing, crosstalk correction, and optional filters with a cluster consisting of 4 dual Intel Xeon processors operating on up to 275 channel MEG systems at 12 kHz sample rate. The architecture is expandable with additional processors to implement advanced processing tasks which may include e.g., continuous head localization/motion correction, optional display filters, coherence calculations, or real time synthetic channels (via beamformer). We also describe an electronics configuration upgrade to provide operator console access to the peripheral interface features such as analog signal and trigger I/O. This allows remote location of the acoustically noisy electronics cabinet and fitting of the cabinet with doors for improved EMI shielding. Finally, we present the latest performance results available for the CTF 275 channel MEG system including an unshielded SEF (median nerve electrical stimulation) measurement enhanced by application of an adaptive beamformer technique (SAM) which allows recognition of the nominal 20-ms response in the unaveraged signal.

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Year:  2004        PMID: 16012695

Source DB:  PubMed          Journal:  Neurol Clin Neurophysiol        ISSN: 1526-8748


  9 in total

1.  MEG source imaging method using fast L1 minimum-norm and its applications to signals with brain noise and human resting-state source amplitude images.

Authors:  Ming-Xiong Huang; Charles W Huang; Ashley Robb; AnneMarie Angeles; Sharon L Nichols; Dewleen G Baker; Tao Song; Deborah L Harrington; Rebecca J Theilmann; Ramesh Srinivasan; David Heister; Mithun Diwakar; Jose M Canive; J Christopher Edgar; Yu-Han Chen; Zhengwei Ji; Max Shen; Fady El-Gabalawy; Michael Levy; Robert McLay; Jennifer Webb-Murphy; Thomas T Liu; Angela Drake; Roland R Lee
Journal:  Neuroimage       Date:  2013-09-19       Impact factor: 6.556

2.  A dataset of human fMRI/MEG experiments with eye tracking for spatial memory research using virtual reality.

Authors:  Bo Zhang; Yuji Naya
Journal:  Data Brief       Date:  2022-06-14

3.  Adaptive significance of right hemisphere activation in aphasic language comprehension.

Authors:  Jed A Meltzer; Suraji Wagage; Jennifer Ryder; Beth Solomon; Allen R Braun
Journal:  Neuropsychologia       Date:  2013-04-06       Impact factor: 3.139

4.  MEG-based detection and localization of perilesional dysfunction in chronic stroke.

Authors:  Ron K O Chu; Allen R Braun; Jed A Meltzer
Journal:  Neuroimage Clin       Date:  2015-04-08       Impact factor: 4.881

5.  Differential Modulation of Rhythmic Brain Activity in Healthy Adults by a T-Type Calcium Channel Blocker: An MEG Study.

Authors:  Kerry D Walton; Emeline L Maillet; John Garcia; Timothy Cardozo; Isaac Galatzer-Levy; Rodolfo R Llinás
Journal:  Front Hum Neurosci       Date:  2017-02-03       Impact factor: 3.169

6.  Noninvasive muscle activity imaging using magnetography.

Authors:  Rodolfo R Llinás; Mikhail Ustinin; Stanislav Rykunov; Kerry D Walton; Guilherme M Rabello; John Garcia; Anna Boyko; Vyacheslav Sychev
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-18       Impact factor: 11.205

7.  Splitting of the magnetic encephalogram into «brain» and «non-brain» physiological signals based on the joint analysis of frequency-pattern functional tomograms and magnetic resonance images.

Authors:  Rodolfo R Llinás; Stanislav Rykunov; Kerry D Walton; Anna Boyko; Mikhail Ustinin
Journal:  Front Neural Circuits       Date:  2022-08-26       Impact factor: 3.342

8.  A systematic evaluation of source reconstruction of resting MEG of the human brain with a new high-resolution atlas: Performance, precision, and parcellation.

Authors:  Luke Tait; Ayşegül Özkan; Maciej J Szul; Jiaxiang Zhang
Journal:  Hum Brain Mapp       Date:  2021-07-05       Impact factor: 5.038

9.  Reconstruction of human brain spontaneous activity based on frequency-pattern analysis of magnetoencephalography data.

Authors:  Rodolfo R Llinás; Mikhail N Ustinin; Stanislav D Rykunov; Anna I Boyko; Vyacheslav V Sychev; Kerry D Walton; Guilherme M Rabello; John Garcia
Journal:  Front Neurosci       Date:  2015-10-16       Impact factor: 4.677

  9 in total

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