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.
extraction of partial spectra
frequency-pattern analysis
functional tomography
magnetic encephalography
time series reconstruction
Journal
Frontiers in neural circuits
ISSN: 1662-5110
Titre abrégé: Front Neural Circuits
Pays: Switzerland
ID NLM: 101477940
Informations de publication
Date de publication:
2022
2022
Historique:
received:
13
12
2021
accepted:
09
08
2022
entrez:
12
9
2022
pubmed:
13
9
2022
medline:
14
9
2022
Statut:
epublish
Résumé
The article considers the problem of dividing the encephalography data into two time series, that generated by the brain and that generated by other electrical sources located in the human head. The magnetic encephalograms and magnetic resonance images of the head were recorded in the Center for Neuromagnetism at NYU Grossman School of Medicine. Data obtained at McGill University and Montreal University were also used. Recordings were made in a magnetically shielded room and the gradiometers were designed to suppress external noise, making it possible to eliminate them from the data analysis. Magnetic encephalograms were analyzed by the method of functional tomography, based on the Fourier transform and on the solution of inverse problem for all frequencies. In this method, one spatial position is assigned to each frequency component. Magnetic resonance images of the head were evaluated to annotate the space to be included in the analysis. The included space was divided into two parts: «brain» and «non-brain». The frequency components were classified by the feature of their inclusion in one or the other part. The set of frequencies, designated as «brain», represented the partial spectrum of the brain signal, while the set of frequencies designated as «non-brain», represented the partial spectrum of the physiological noise produced by the head. Both partial spectra shared the same frequency band. From the partial spectra, a time series of the «brain» area signal and «non-brain» area head noise were reconstructed. Summary spectral power of the signal was found to be ten times greater than the noise. The proposed method makes it possible to analyze in detail both the signal and the noise components of the encephalogram and to filter the magnetic encephalogram.
Identifiants
pubmed: 36092277
doi: 10.3389/fncir.2022.834434
pmc: PMC9458866
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
834434Informations de copyright
Copyright © 2022 Llinás, Rykunov, Walton, Boyko and Ustinin.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Elife. 2019 Oct 09;8:
pubmed: 31596233
IEEE Trans Biomed Eng. 2007 Nov;54(11):1965-73
pubmed: 18018691
Neuroimage. 2016 Jan 1;124(Pt B):1182-1187
pubmed: 25896932
Brain Topogr. 2005 Fall;18(1):37-46
pubmed: 16193265
Rev Sci Instrum. 2016 Sep;87(9):094301
pubmed: 27782541
J Neurosci Methods. 2014 Aug 15;233:105-14
pubmed: 24954539
IEEE Trans Biomed Eng. 2006 Sep;53(9):1755-64
pubmed: 16941831
Nat Commun. 2017 Apr 04;8:14896
pubmed: 28374740
Neuroimage. 2006 Jul 1;31(3):968-80
pubmed: 16530430
J Neurosci Methods. 2008 Jun 30;171(2):331-9
pubmed: 18471892
J Neurosci Methods. 2008 Feb 15;168(1):195-202
pubmed: 17963844
Brain Topogr. 2016 Nov;29(6):783-790
pubmed: 27503196
Med Image Comput Comput Assist Interv. 2017 Sep;10435:374-381
pubmed: 31656959
Ann Biomed Eng. 2011 Aug;39(8):2274-86
pubmed: 21509634
Neuron. 2019 Oct 23;104(2):189-204
pubmed: 31647893
Neuron. 2018 Jun 27;98(6):1269-1281.e4
pubmed: 29887341
Phys Med Biol. 2006 Apr 7;51(7):1759-68
pubmed: 16552102
IEEE Trans Biomed Eng. 2018 May;65(5):1002-1013
pubmed: 28783620
Biomed Phys Eng Express. 2018 Sep;4(5):
pubmed: 30174830
Neuroimage. 2011 May 1;56(1):78-92
pubmed: 21315157
Proc Natl Acad Sci U S A. 2017 Nov 28;114(48):E10465-E10474
pubmed: 29138310
Front Neural Circuits. 2014 Apr 29;8:43
pubmed: 24808829
Brain Topogr. 2004 Summer;16(4):269-75
pubmed: 15379226
J Clin Neurophysiol. 1996 Mar;13(2):172-6
pubmed: 8849972
IEEE Trans Biomed Eng. 2014 Feb;61(2):405-14
pubmed: 24001953
Proc Natl Acad Sci U S A. 2020 Mar 3;117(9):4942-4947
pubmed: 32071237
Cereb Cortex. 2004 Jan;14(1):11-22
pubmed: 14654453
J Neurosci Methods. 2013 Jul 15;217(1-2):31-8
pubmed: 23583420
Neuroimage. 2019 Jul 1;194:244-258
pubmed: 30885786
Front Neurosci. 2015 Oct 16;9:373
pubmed: 26528119
Neuroimage. 2004;23 Suppl 1:S69-84
pubmed: 15501102
Neurol Clin Neurophysiol. 2004 Nov 30;2004:69
pubmed: 16012695
Neuroimage. 2018 Feb 1;166:135-151
pubmed: 29061529
Proc Natl Acad Sci U S A. 2019 Nov 19;116(47):23772-23782
pubmed: 31685634
Neuroimage. 2017 Oct 1;159:417-429
pubmed: 28645840
J Neurosci Methods. 2020 Jul 15;341:108700
pubmed: 32416275
Phys Med Biol. 1987 Jan;32(1):11-22
pubmed: 3823129