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Spatial-Jitter Model for Magnetoencephalography Sensor Arrays.

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Τίτλος: Spatial-Jitter Model for Magnetoencephalography Sensor Arrays.
Συγγραφείς: Iivanainen J
Πηγή: IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2026 Jul; Vol. 45 (7), pp. 3908-3921.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 8310780 Publication Model: Print Cited Medium: Internet ISSN: 1558-254X (Electronic) Linking ISSN: 02780062 NLM ISO Abbreviation: IEEE Trans Med Imaging Subsets: MEDLINE
Imprint Name(s): Original Publication: New York, NY : Institute of Electrical and Electronics Engineers, c1982-
Ιατρικοί όροι (MeSH): Magnetoencephalography*/methods , Magnetoencephalography*/instrumentation , Signal Processing, Computer-Assisted* , Models, Neurological*, Brain/physiology ; Humans ; Signal-To-Noise Ratio ; Algorithms ; Computer Simulation
Περίληψη: Sampling jitter, i.e., random deviations in the time instants when samples are taken, causes frequency-dependent noise that reduces signal-to-noise ratio (SNR). This paper generalizes the concept of jitter to magnetoencephalography (MEG) sensor arrays that spatially sample the quasistatic magnetic field due to brain activity. It is shown that spatial jitter, i.e., random deviations in MEG sensor positions, causes spatial-frequency-dependent noise in the vector spherical harmonics domain that reduces the attainable SNR and spatial resolution in MEG. Similarly, the paper also considers noise due to random sensor orientation errors ('orientation jitter') and errors due to field integration by the finite-sized sensors ('aperture error'). The analysis in this paper shows that on-scalp MEG measurements taken closer to the head are more resistant to spatial and orientation jitter at high spatial frequencies than off-scalp measurements taken further away. On the other hand, on-scalp measurements are affected more by aperture errors than off-scalp measurements. The paper also provides new insights to the effect of sensor noise on the spatial resolution of on- and off-scalp sensor arrays using a novel normalization of the vector spherical harmonics. The paper also simulates spatial-jitter phenomena with realistic sensor arrays based on optically pumped magnetometers and superconducting quantum interference device sensors. This realistic simulation shows that spatial jitter reduces SNR and affects how the measurements should be regularized in order to maximize SNR.
References: Neuroimage Rep. 2022 Jun;2(2):. (PMID: 35692456)
Prog Brain Res. 2006;159:29-42. (PMID: 17071222)
Imaging Neurosci (Camb). 2025 May 30;3:. (PMID: 40800964)
Neuroimage. 2023 Aug 15;277:120257. (PMID: 37392806)
Phys Med Biol. 2023 Aug 23;68(17):. (PMID: 37385260)
PLoS One. 2016 Aug 26;11(8):e0157655. (PMID: 27564416)
Med Biol Eng Comput. 1994 Jan;32(1):35-42. (PMID: 8182960)
Neuroimage. 2023 Apr 15;270:119953. (PMID: 36842521)
Sensors (Basel). 2025 Apr 24;25(9):. (PMID: 40363144)
Neuroimage. 2021 Dec 15;245:118747. (PMID: 34852277)
Sci Rep. 2019 Apr 2;9(1):5490. (PMID: 30940844)
Neuroimage. 2014 Feb 1;86:446-60. (PMID: 24161808)
Neuroimage. 2022 Dec 1;264:119747. (PMID: 36403733)
Phys Med Biol. 2025 Jun 30;70(13):. (PMID: 40541227)
Hum Brain Mapp. 2021 Oct 15;42(15):4869-4879. (PMID: 34245061)
J Cogn Neurosci. 1993 Spring;5(2):162-76. (PMID: 23972151)
Brain Topogr. 2018 Nov;31(6):931-948. (PMID: 29934728)
Sci Rep. 2020 Dec 10;10(1):21609. (PMID: 33303793)
Sensors (Basel). 2022 Apr 15;22(8):. (PMID: 35459044)
Neuroimage. 2022 May 15;252:119027. (PMID: 35217205)
Hum Brain Mapp. 2024 Mar;45(4):e26596. (PMID: 38433646)
IEEE Trans Biomed Eng. 1997 Mar;44(3):196-208. (PMID: 9216133)
Neuroimage. 2021 Aug 1;236:118025. (PMID: 33838266)
Neuroimage. 2006 May 15;31(1):160-71. (PMID: 16520063)
Phys Med Biol. 2008 Apr 7;53(7):1975-87. (PMID: 18354243)
Nat Neurosci. 2017 Feb 23;20(3):327-339. (PMID: 28230841)
Phys Med Biol. 1987 Jan;32(1):11-22. (PMID: 3823129)
Neuroimage. 2017 Feb 15;147:542-553. (PMID: 28007515)
Grant Information: R01 NS104585 United States NS NINDS NIH HHS
Entry Date(s): Date Created: 20260427 Date Completed: 20260713 Latest Revision: 20260826
Update Code: 20260826
PubMed Central ID: PMC13503295
DOI: 10.1109/TMI.2026.3687982
PMID: 42043988
Βάση Δεδομένων: MEDLINE
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  Data: Spatial-Jitter Model for Magnetoencephalography Sensor Arrays.
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  Data: Sampling jitter, i.e., random deviations in the time instants when samples are taken, causes frequency-dependent noise that reduces signal-to-noise ratio (SNR). This paper generalizes the concept of jitter to magnetoencephalography (MEG) sensor arrays that spatially sample the quasistatic magnetic field due to brain activity. It is shown that spatial jitter, i.e., random deviations in MEG sensor positions, causes spatial-frequency-dependent noise in the vector spherical harmonics domain that reduces the attainable SNR and spatial resolution in MEG. Similarly, the paper also considers noise due to random sensor orientation errors ('orientation jitter') and errors due to field integration by the finite-sized sensors ('aperture error'). The analysis in this paper shows that on-scalp MEG measurements taken closer to the head are more resistant to spatial and orientation jitter at high spatial frequencies than off-scalp measurements taken further away. On the other hand, on-scalp measurements are affected more by aperture errors than off-scalp measurements. The paper also provides new insights to the effect of sensor noise on the spatial resolution of on- and off-scalp sensor arrays using a novel normalization of the vector spherical harmonics. The paper also simulates spatial-jitter phenomena with realistic sensor arrays based on optically pumped magnetometers and superconducting quantum interference device sensors. This realistic simulation shows that spatial jitter reduces SNR and affects how the measurements should be regularized in order to maximize SNR.
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  Data: Neuroimage Rep. 2022 Jun;2(2):. (PMID: <searchLink fieldCode="PM" term="%2235692456%22">35692456)</searchLink><br />Prog Brain Res. 2006;159:29-42. (PMID: <searchLink fieldCode="PM" term="%2217071222%22">17071222)</searchLink><br />Imaging Neurosci (Camb). 2025 May 30;3:. (PMID: <searchLink fieldCode="PM" term="%2240800964%22">40800964)</searchLink><br />Neuroimage. 2023 Aug 15;277:120257. (PMID: <searchLink fieldCode="PM" term="%2237392806%22">37392806)</searchLink><br />Phys Med Biol. 2023 Aug 23;68(17):. (PMID: <searchLink fieldCode="PM" term="%2237385260%22">37385260)</searchLink><br />PLoS One. 2016 Aug 26;11(8):e0157655. (PMID: <searchLink fieldCode="PM" term="%2227564416%22">27564416)</searchLink><br />Med Biol Eng Comput. 1994 Jan;32(1):35-42. (PMID: <searchLink fieldCode="PM" term="%228182960%22">8182960)</searchLink><br />Neuroimage. 2023 Apr 15;270:119953. (PMID: <searchLink fieldCode="PM" term="%2236842521%22">36842521)</searchLink><br />Sensors (Basel). 2025 Apr 24;25(9):. (PMID: <searchLink fieldCode="PM" term="%2240363144%22">40363144)</searchLink><br />Neuroimage. 2021 Dec 15;245:118747. (PMID: <searchLink fieldCode="PM" term="%2234852277%22">34852277)</searchLink><br />Sci Rep. 2019 Apr 2;9(1):5490. (PMID: <searchLink fieldCode="PM" term="%2230940844%22">30940844)</searchLink><br />Neuroimage. 2014 Feb 1;86:446-60. (PMID: <searchLink fieldCode="PM" term="%2224161808%22">24161808)</searchLink><br />Neuroimage. 2022 Dec 1;264:119747. (PMID: <searchLink fieldCode="PM" term="%2236403733%22">36403733)</searchLink><br />Phys Med Biol. 2025 Jun 30;70(13):. (PMID: <searchLink fieldCode="PM" term="%2240541227%22">40541227)</searchLink><br />Hum Brain Mapp. 2021 Oct 15;42(15):4869-4879. (PMID: <searchLink fieldCode="PM" term="%2234245061%22">34245061)</searchLink><br />J Cogn Neurosci. 1993 Spring;5(2):162-76. (PMID: <searchLink fieldCode="PM" term="%2223972151%22">23972151)</searchLink><br />Brain Topogr. 2018 Nov;31(6):931-948. (PMID: <searchLink fieldCode="PM" term="%2229934728%22">29934728)</searchLink><br />Sci Rep. 2020 Dec 10;10(1):21609. (PMID: <searchLink fieldCode="PM" term="%2233303793%22">33303793)</searchLink><br />Sensors (Basel). 2022 Apr 15;22(8):. (PMID: <searchLink fieldCode="PM" term="%2235459044%22">35459044)</searchLink><br />Neuroimage. 2022 May 15;252:119027. (PMID: <searchLink fieldCode="PM" term="%2235217205%22">35217205)</searchLink><br />Hum Brain Mapp. 2024 Mar;45(4):e26596. (PMID: <searchLink fieldCode="PM" term="%2238433646%22">38433646)</searchLink><br />IEEE Trans Biomed Eng. 1997 Mar;44(3):196-208. (PMID: <searchLink fieldCode="PM" term="%229216133%22">9216133)</searchLink><br />Neuroimage. 2021 Aug 1;236:118025. (PMID: <searchLink fieldCode="PM" term="%2233838266%22">33838266)</searchLink><br />Neuroimage. 2006 May 15;31(1):160-71. (PMID: <searchLink fieldCode="PM" term="%2216520063%22">16520063)</searchLink><br />Phys Med Biol. 2008 Apr 7;53(7):1975-87. (PMID: <searchLink fieldCode="PM" term="%2218354243%22">18354243)</searchLink><br />Nat Neurosci. 2017 Feb 23;20(3):327-339. (PMID: <searchLink fieldCode="PM" term="%2228230841%22">28230841)</searchLink><br />Phys Med Biol. 1987 Jan;32(1):11-22. (PMID: <searchLink fieldCode="PM" term="%223823129%22">3823129)</searchLink><br />Neuroimage. 2017 Feb 15;147:542-553. (PMID: <searchLink fieldCode="PM" term="%2228007515%22">28007515)</searchLink>
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      – SubjectFull: Magnetoencephalography methods
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