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

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.

Methods

The 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.

Results

MRI safety studies in 3 T confirmed the maximum heating below 1 °C. Using an MRI sequence with spatial localization gradie

SUBMITTER: Levitt J 

PROVIDER: S-EPMC10098760 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature