Evidence map›Paper›PMID 37050598›Full record

ArticleSensors (Basel, Switzerland)2023

The MotoNet: A 3 Tesla MRI-Conditional EEG Net with Embedded Motion Sensors.

Joshua Levitt, André van der Kouwe, Hongbae Jeong, Laura D Lewis, Giorgio Bonmassar

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Joshua LevittDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-2510-1989
André van der KouweAthinoula A. Martinos Center for Biomedical Engineering, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0002-2754-6594
Hongbae JeongAthinoula A. Martinos Center for Biomedical Engineering, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0003-4908-2070
Laura D LewisDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Giorgio BonmassarAthinoula A. Martinos Center for Biomedical Engineering, Massachusetts General Hospital, Charlestown, MA 02129, USA.ORCID 0000-0002-4694-9698
Massachusetts General Hospital · USBoston University · US

Funding

Sleep-dependent modulation of cerebrospinal fluid flow in aging and across genetic risk for Alzheimers diseaseR01AG070135 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEWIS, LAURA DIANE · 2021 to 2025
$3.3M
Dense Array Image compatible EEG for enhanced neonatal careR01EB024343 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BONMASSAR, GIORGIO · 2017 to 2020
$2.9M
Extension of a longitudinal cognitive and brain imaging study of early-treated perinatally HIV infected children through adolescenceR01HD099846 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI LAUGHTON, BARBARA, MEINTJES, ERNESTA MARIA · 2019 to 2023
$2.7M
Neonatal imaging as an early marker of neurodevelopment and predictor of cognitive performance in infants exposed to HIV and ART in utero and perinatallyR01HD085813 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI LAUGHTON, BARBARA, MEINTJES, ERNESTA MARIA · 2016 to 2020
$2.3M
NIA NIH HHS R01 AG070135NIBIB NIH HHS R01 EB024343NICHD NIH HHS R01 HD085813NICHD NIH HHS R01 HD099846NIH HHS R01AG070135NIH HHS R01EB024343NIH HHS R01HD085813NIH HHS R01HD099846
6 · The paper itself

Abstract

We introduce a new electroencephalogram (EEG) net, which will allow clinicians to monitor EEG while tracking head motion. Motion during MRI limits patient scans, especially of children with epilepsy. EEG is also severely affected by motion-induced noise, predominantly ballistocardiogram (BCG) noise due to the heartbeat.

methodsThe MotoNet was built using polymer thick film (PTF) EEG leads and motion sensors on opposite sides in the same flex circuit. EEG/motion measurements were made with a standard commercial EEG acquisition system in a 3 Tesla (T) MRI. A Kalman filtering-based BCG correction tool was used to clean the EEG in healthy volunteers.

resultsMRI safety studies in 3 T confirmed the maximum heating below 1 °C. Using an MRI sequence with spatial localization gradients only, the position of the head was linearly correlated with the average motion sensor output. Kalman filtering was shown to reduce the BCG noise and recover artifact-clean EEG.

conclusionsThe MotoNet is an innovative EEG net design that co-locates 32 EEG electrodes with 32 motion sensors to improve both EEG and MRI signal quality. In combination with custom gradients, the position of the net can, in principle, be determined. In addition, the motion sensors can help reduce BCG noise.

Indexed as

BCG VaccineElectroencephalographyArtifactsChildHumansMagnetic Resonance ImagingMotionBCG VaccineballistocardiogramEEG/fMRIKalman adaptive noise cancellationposition estimation

Identifiers

PMID37050598
PMCPMC10098760
OpenAlexW4361205662

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.