Meg Familiarization Session
Meg Familiarization Session - Related Videos
14:15
Measurement Of Neuromagnetic Brain Function In Pre-school Children With Custom Sized MEG
0 Views •
Cited by 17 •
2010
The advent of MEG systems sized for young children opens important new opportunities to study brain development. The new system, together with a protocol that aligns experimental requirements with the capacities of children, can be used to study cognitive and language processes in healthy, awake children aged three to six.
06:04
Functional Mapping with Simultaneous MEG and EEG
0 Views •
Cited by 16 •
2010
We use magnetoencephalography (MEG) and electroencephalography (EEG) to map brain areas involved in the processing of simple sensory stimuli.
01:29
The Familiarity Bias
0 Views •
2026
Familiarity bias is a psychological tendency in which investors prefer well-known assets and avoid unfamiliar investments, often to the detriment of their portfolios. This bias arises from an aversion to uncertainty and a fear of negative outcomes associated with lesser-known financial instruments. While investors may believe they are making safer choices, their reluctance to explore a broader range of assets can lead to suboptimal diversification and increased risk exposure.Familiarity bias...
08:42
A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research
0 Views •
Cited by 2 •
2017
Electrophysiological research is an important tool for identifying biomarkers of developmental disorders, including Autism Spectrum Disorders (ASD), but data collection in these populations remains challenging. This work presents a familiarization protocol to accompany research that includes electroencephalography (EEG) to improve the likelihood of collecting EEG data from children with ASD.
08:45
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
0 Views •
Cited by 17 •
2012
We use magneto- and electroencephalography (MEG/EEG), combined with anatomical information captured by magnetic resonance imaging (MRI), to map the dynamics of the cortical network associated with auditory attention.
FAQs
Stillness helps limit movement-related artifacts, which are unwanted changes in the recorded signal associated with participant movement. By practicing how to remain comfortable and still before data collection, participants are better prepared to maintain the behavior expected during recording. This can make neural signals more reliable and support clearer interpretation of findings about sensory processing, cognition, connectivity, or neurological function.
Explanation of the recording environment, a demonstration of the MEG system, and review of safety and task instructions reduce the unfamiliarity of the setting. Participants can learn what the procedure requires before the subsequent recording, rather than discovering expectations while a task is underway. Greater comfort and cooperation may then help researchers obtain data with fewer movement-related artifacts.
The period focuses on participant readiness rather than simply introducing equipment. Researchers use it to establish understanding of the recording environment, safety expectations, task instructions, and the need for comfortable stillness. Addressing these points in advance can improve cooperation during the later recording and reduce avoidable uncertainty or movement that could complicate interpretation of MEG measurements.
Participants may become acquainted with the recording environment, watch a demonstration of the MEG system, review safety and task instructions, and practice staying comfortable and still. These activities address both practical and behavioral demands before the main recording. Together, the steps help participants enter the subsequent session with clearer expectations, greater comfort, and less likelihood of movement-related artifacts.
It is relevant to MEG investigations of sensory processing, cognition, brain connectivity, and neurological function. These studies depend on recordings that can be interpreted in relation to brain activity, so participant behavior matters alongside the sensor system. Familiarization supports cooperation and stillness across these research contexts, helping reduce movement-related complications in the resulting data.
It can improve data reliability in two linked ways: participants understand the task and recording expectations, and they are more prepared to remain comfortable and still. Better cooperation may reduce movement-related artifacts, while clearer expectations reduce uncertainty during data collection. Together, these effects help researchers distinguish meaningful neural signals from problems that could otherwise complicate interpretation.