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306 magnetic sensors

Manufactured by Elekta
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Sourced in Finland

The 306 magnetic sensors are precision measurement devices designed to detect and measure magnetic fields. These sensors employ advanced magnetic sensing technology to provide accurate and reliable data on the strength and direction of magnetic fields in various applications. The 306 magnetic sensors are engineered to deliver consistent performance and are suitable for a wide range of industries and research purposes.

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Lab products found in correlation

Meg system, by Elekta (11 mentions) Maxfilter, by Elekta (4 mentions) Achieva 3t x series scanner, by Philips (1 mentions) Eight channel head coil, by Philips (1 mentions) Fastrak 3sf0002, by Polhemus (1 mentions)

Close spelling variants of this product

MEG system with 306 magnetic sensors

11 protocols using 306 magnetic sensors

1

Noise-Mitigated MEG Recordings for Neuroscience

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MEG recordings were conducted in a one-layer magnetically shielded room with active shielding engaged to compensate for environmental noise. Neuromagnetic responses were continuously sampled at a rate of 1 kHz with an acquisition bandwidth of 0.1–330 Hz using an Elekta MEG system with 306 magnetic sensors (Helsinki, Finland). During data acquisition, participants were continually monitored via real-time audio-video feeds from inside the magnetically shielded room. MEG data were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (Taulu and Simola, 2006 (link)).
Springer S.D., Erker T.D., Schantell M., Johnson H.J., Willett M.P., Okelberry H.J., Rempe M.P, & Wilson T.W. (2023). Disturbances in primary visual processing as a function of healthy aging. NeuroImage, 271, 120020.
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2

Magnetoencephalography Data Preprocessing

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All recordings were conducted in a one-layer magnetically-shielded room with active shielding engaged. Neuromagnetic responses were sampled continuously at 1 kHz with an acquisition bandwidth of 0.1–330 Hz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). Using MaxFilter (v2.2; Elekta), MEG data from each patient were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (Taulu and Simola, 2006 (link), Taulu et al., 2005 ). Each participant's MEG data were coregistered with structural T1-weighted MRI data prior to source space analyses using BESA MRI (Version 2.0). Structural MRI data were aligned parallel to the anterior and posterior commissures and transformed into standardized space. After beamformer analysis, each subject's functional images were also transformed into standardized space using the transform applied to the structural MRI volume and spatially resampled.
Heinrichs-Graham E., Santamaria P.M., Gendelman H.E, & Wilson T.W. (2017). The cortical signature of symptom laterality in Parkinson's disease. NeuroImage : Clinical, 14, 433-440.
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3

Magnetoencephalography and Structural MRI Acquisition

Cited 2 times
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Recordings were conducted in a magnetically-shielded room with active shielding engaged. With an acquisition bandwidth of 0.1–330 Hz, neuromagnetic responses were sampled continuously at 1 kHz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). MEG data from each participant were individually-corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension39 (link). Each participant’s MEG data were then coregistered with their structural T1-weighted MRI data using BESA MRI (Version 2.0; BESA GmbH, Gräfelfing, Germany). These neuroanatomic images were acquired with a Philips Achieva 3T X-series scanner using an eight-channel head coil and a 3D fast field echo sequence with the following parameters: TR: 8.09 ms; TE: 3.7 ms; field of view: 24 cm; matrix: 256 × 256; slice thickness: 1 mm with no gap; in-plane resolution: 0.9375 ×  0.9375 mm; sense factor: 1.5. The structural MRI volumes were aligned parallel to the anterior and posterior commissures and were transformed into standardized space after source imaging (i.e., beamforming)40 (link)41 (link).
Wilson T.W., Proskovec A.L., Heinrichs-Graham E., O’Neill J., Robertson K.R., Fox H.S, & Swindells S. (2017). Aberrant Neuronal Dynamics during Working Memory Operations in the Aging HIV-Infected Brain. Scientific Reports, 7, 41568.
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4

Magnetoencephalography (MEG) Data Processing

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With an acquisition bandwidth of 0.1–330.0 Hz, neuromagnetic responses were sampled continuously at 1 kHz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). Using MaxFilter (Version 2.2; Elekta), MEG data from each participant were individually corrected for head movement, coregistered with structural MRI, and subjected to noise reduction using the signal space separation method with a temporal extension (tSSS; Taulu & Simola, 2006 (link); Taulu, Simola, & Kajola, 2005 ). Each participant's MEG data were coregistered with structural T1-weighted MRI data before source space analyses using BESA MRI (Version 2.0). Structural MRI data were aligned parallel to the anterior and posterior commissures and transformed into standardized space. After beamformer analysis, each participant's functional images were also transformed into standardized space using the transform previously applied to the structural MRI volume and spatially resampled.
McDermott T.J., Badura-Brack A.S., Becker K.M., Ryan T.J., Bar-Haim Y., Pine D.S., Khanna M.M., Heinrichs-Graham E, & Wilson T.W. (2016). Attention training improves aberrant neural dynamics during working memory processing in veterans with PTSD. Cognitive, affective & behavioral neuroscience, 16(6), 1140-1149.
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5

Magnetoencephalography Data Preprocessing

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All recordings were conducted in a one-layer magnetically-shielded room with active shielding engaged. Neuromagnetic responses were sampled continuously at 1 kHz with an acquisition bandwidth of 0.1–330 Hz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). Using MaxFilter (v2.2; Elekta), MEG data from each participant were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (Taulu and Simola, 2006 (link); Taulu et al., 2005 ).
Heinrichs-Graham E., Hoburg J.M, & Wilson T.W. (2017). The peak frequency of motor-related gamma oscillations is modulated by response competition. NeuroImage, 165, 27-34.
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6

Magnetically-Shielded MEG Recording Protocol

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All recordings were conducted in a one-layer magnetically-shielded room with active shielding engaged. Neuromagnetic responses were sampled continuously at 1 kHz with an acquisition bandwidth of 0.1–330 Hz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). Using MaxFilter (v2.2; Elekta), MEG data from each subject were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (Taulu and Simola, 2006 (link); Taulu et al., 2005 ).
Heinrichs‐Graham E, & Wilson T.W. (2015). Coding complexity in the human motor circuit. Human Brain Mapping, 36(12), 5155-5167.
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7

Magnetoencephalography Noise Reduction Protocol

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Recordings were conducted in a one‐layer magnetically shielded room with active shielding engaged. With an acquisition bandwidth of 0.1–330 Hz, neuromagnetic responses were sampled continuously at 1 kHz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). MEG data from each participant were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (Taulu & Simola, 2006; Taulu, Simola, & Kajola, 2005).
Spooner R.K., Wiesman A.I., Proskovec A.L., Heinrichs‐Graham E, & Wilson T.W. (2019). Prefrontal theta modulates sensorimotor gamma networks during the reorienting of attention. Human Brain Mapping, 41(2), 520-529.
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8

Noise Reduction in MEG Recordings

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Recordings were conducted in a one-layer magnetically-shielded room with active shielding engaged. With an acquisition bandwidth of 0.1–330 Hz, neuromagnetic responses were sampled continuously at 1 kHz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). MEG data from each participant were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (Taulu & Simola, 2006 (link); Taulu et al. 2005 ).
Proskovec A.L., Heinrichs‐Graham E., Wiesman A.I., McDermott T.J, & Wilson T.W. (2018). Oscillatory dynamics in the dorsal and ventral attention networks during the reorienting of attention. Human Brain Mapping, 39(5), 2177-2190.
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9

Noise-Mitigated MEG Recordings for Neuroscience

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MEG recordings were conducted in a one-layer magnetically shielded room with active shielding engaged to compensate for environmental noise. Neuromagnetic responses were continuously sampled at a rate of 1 kHz with an acquisition bandwidth of 0.1–330 Hz using an Elekta MEG system with 306 magnetic sensors (Helsinki, Finland). During data acquisition, participants were continually monitored via real-time audio-video feeds from inside the magnetically shielded room. MEG data were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (Taulu and Simola, 2006 (link)).
Bengzon J., Kokaia Z., Elmér E., Nanobashvili A., Kokaia M, & Lindvall O. (1997). Apoptosis and proliferation of dentate gyrus neurons after single and intermittent limbic seizures. Proceedings of the National Academy of Sciences of the United States of America, 94(19), 10432-10437.
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10

MEG Recordings with Magnetic Shielding

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Recordings were conducted in a one-layer magnetically shielded room with active shielding engaged. With an acquisition bandwidth of 0.1–330 Hz, neuromagnetic responses were sampled continuously at 1 kHz using an Elekta MEG system with 306 magnetic sensors (Elekta, Helsinki, Finland). MEG data from each participant were individually corrected for head motion and subjected to noise reduction using the signal space separation method with a temporal extension (tSSS; Taulu et al., 2005 (link); Taulu and Simola, 2006 (link)). Briefly, preceding MEG recording, four coils were attached to the participant’s head and localized, together with the three fiducial points and scalp surface, with a 3D digitizer (Fastrak 3SF0002; Polhemus Navigator Sciences, Colchester, VT). Once the participant was positioned for MEG recording, an electric current with a unique frequency label (i.e., 322 Hz) was fed to each of the coils. This induced a measurable magnetic field and allowed each coil to be localized in reference to the sensors throughout the recording session. Total drift (i.e., the overall distance that any individual’s head moved throughout the session) was quite minimal in the present study (median = 0.58 cm, M = 0.88 cm, SD = 0.79, range = 0.07 to 3.56 cm) and was effectively accounted for using tSSS.
Pulliam H.R., Springer S.D., Rice D.L., Ende G.C., Johnson H.J., Willett M.P., Wilson T.W, & Taylor B.K. (2024). Neurotoxic effects of home radon exposure on oscillatory dynamics serving attentional orienting in children and adolescents. NeuroImage, 292, 120606.
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