Default mode functional connectivity estimation and visualization framework for MEG data
Magnetoencephalography (MEG) is used for functional connectivity analysis, and can record brain signals from deep sources non-invasively. Modern MEG systems measure signals at a temporal resolution of milliseconds and at millimeter precision. However, there is a lack of standardization in the positi...
| Main Authors: | Rasheed, W., Tang, T.B., Bin Hamid, N.H. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31417 / |
| Published: |
IEEE Computer Society
2015
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940388741&doi=10.1109%2fNER.2015.7146824&partnerID=40&md5=70116f8fe0ef76b121b8d19da2804a3d http://eprints.utp.edu.my/31417/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|