2022
DOI: 10.3389/fneur.2021.814573
|View full text |Cite
|
Sign up to set email alerts
|

Gratifying Gizmos for Research and Clinical MEG

Abstract: Experimental designs are of utmost importance in neuroimaging. Experimental repertoire needs to be designed with the understanding of physiology, clinical feasibility, and constraints posed by a particular neuroimaging method. Innovations in introducing natural, ecologically-relevant stimuli, with successful collaboration across disciplines, correct timing, and a bit of luck may cultivate novel experiments, new discoveries, and open pathways to new clinical practices. Here I introduce some gizmos that I have i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 62 publications
0
2
0
Order By: Relevance
“…In this work, we used a custom-built movement stimulator (see also Jousmäki 2021 ), which may hinder the uptake of the method. However, the stimulator solution needed for CKC recording is mechanically simple.…”
Section: Discussionmentioning
confidence: 99%
“…In this work, we used a custom-built movement stimulator (see also Jousmäki 2021 ), which may hinder the uptake of the method. However, the stimulator solution needed for CKC recording is mechanically simple.…”
Section: Discussionmentioning
confidence: 99%
“…It is recommended to calculate the absolute acceleration by taking the Euclidian mean of the three accelerometer channels when analysing the movement kinematics. The accelerometer data is useful for extracting precise movement onset times, duration of movements, and potentially other features from the movement kinematics (for examples see 44 ). The accelerometer data is present in all three MEG task files (not just the movement-related tasks) and can be used to check for movement kinematics in the rest data or before and after movements in the movement-related tasks (e.g., to discard trials with movements in the pre-stimulus time window).…”
Section: Usage Notesmentioning
confidence: 99%