Abstract
Functional connectivity estimates the temporal synchrony among functionally homogeneous brain regions based on the assessment of the dynamics of topologically localized neurophysiological responses. Here we aim at providing a first proof of concept that behavioral features can be linked to connectivity in a completely automatic manner by focusing on a simplified case study: assessment of body motion correlates of functional EEG-based connectivity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 372 |
| Number of pages | 1 |
| ISBN (Print) | 9781479957019 |
| DOIs | |
| Publication status | Published - Mar 2 2014 |
| Event | 2014 2nd IEEE International Conference on Healthcare Informatics, ICHI 2014 - Verona, Italy Duration: Sep 15 2014 → Sep 17 2014 |
Other
| Other | 2014 2nd IEEE International Conference on Healthcare Informatics, ICHI 2014 |
|---|---|
| Country | Italy |
| City | Verona |
| Period | 9/15/14 → 9/17/14 |
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Keywords
- Biomedical Signal Processing
- ERD
- Functional Connectivity
ASJC Scopus subject areas
- Health Informatics
Cite this
Towards the assessment of motor network's behavioral correlates by video-EEG. / Erbizi, Paolo; Bronzato, Gabriele; Storti, Silvia Francesca; Giachetti, Andrea; Manganotti, Paolo; Menegaz, Gloria.
Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 372 7052522.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Towards the assessment of motor network's behavioral correlates by video-EEG
AU - Erbizi, Paolo
AU - Bronzato, Gabriele
AU - Storti, Silvia Francesca
AU - Giachetti, Andrea
AU - Manganotti, Paolo
AU - Menegaz, Gloria
PY - 2014/3/2
Y1 - 2014/3/2
N2 - Functional connectivity estimates the temporal synchrony among functionally homogeneous brain regions based on the assessment of the dynamics of topologically localized neurophysiological responses. Here we aim at providing a first proof of concept that behavioral features can be linked to connectivity in a completely automatic manner by focusing on a simplified case study: assessment of body motion correlates of functional EEG-based connectivity.
AB - Functional connectivity estimates the temporal synchrony among functionally homogeneous brain regions based on the assessment of the dynamics of topologically localized neurophysiological responses. Here we aim at providing a first proof of concept that behavioral features can be linked to connectivity in a completely automatic manner by focusing on a simplified case study: assessment of body motion correlates of functional EEG-based connectivity.
KW - Biomedical Signal Processing
KW - ERD
KW - Functional Connectivity
UR - http://www.scopus.com/inward/record.url?scp=84949924841&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949924841&partnerID=8YFLogxK
U2 - 10.1109/ICHI.2014.67
DO - 10.1109/ICHI.2014.67
M3 - Conference contribution
AN - SCOPUS:84949924841
SN - 9781479957019
SP - 372
BT - Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -