Abstract
In this paper we investigate task-related changes in brain functional connectivity (FC) by applying different methods namely event-related desynchronization (ERD), coherence and graph-theoretical analysis to electroencephalographic (EEG) recordings. While ERD provides an estimate of the differences in power spectral densities between task and rest conditions, coherence allows assessing the level of synchronization between the recorded signals and graph analysis enables the estimation of the functional network topology. EEGs were recorded on 10 subjects during left/right arm movements. Conventional analysis showed a significant ERD in both alpha and beta bands over the sensorimotor cortex. Connectivity assessment highlighted that stronger connections are those involving the motor regions for which graph analysis revealed reduced accessibility and an increased cen-trality during the movement. This highlights that network analysis brings complementary knowledge with respect to established approaches for modeling motor-induced FC.
| Original language | English |
|---|---|
| Title of host publication | 2015 23rd European Signal Processing Conference, EUSIPCO 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2596-2600 |
| Number of pages | 5 |
| ISBN (Print) | 9780992862633 |
| DOIs | |
| Publication status | Published - Dec 22 2015 |
| Event | 23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France Duration: Aug 31 2015 → Sep 4 2015 |
Other
| Other | 23rd European Signal Processing Conference, EUSIPCO 2015 |
|---|---|
| Country | France |
| City | Nice |
| Period | 8/31/15 → 9/4/15 |
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Keywords
- coherence
- EEG power
- ERD
- functional connectivity
- graph analysis
ASJC Scopus subject areas
- Media Technology
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
Cortical network modulation during paced arm movements. / Storti, S. F.; Formaggio, E.; Manganotti, P.; Menegaz, G.
2015 23rd European Signal Processing Conference, EUSIPCO 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2596-2600 7362854.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Cortical network modulation during paced arm movements
AU - Storti, S. F.
AU - Formaggio, E.
AU - Manganotti, P.
AU - Menegaz, G.
PY - 2015/12/22
Y1 - 2015/12/22
N2 - In this paper we investigate task-related changes in brain functional connectivity (FC) by applying different methods namely event-related desynchronization (ERD), coherence and graph-theoretical analysis to electroencephalographic (EEG) recordings. While ERD provides an estimate of the differences in power spectral densities between task and rest conditions, coherence allows assessing the level of synchronization between the recorded signals and graph analysis enables the estimation of the functional network topology. EEGs were recorded on 10 subjects during left/right arm movements. Conventional analysis showed a significant ERD in both alpha and beta bands over the sensorimotor cortex. Connectivity assessment highlighted that stronger connections are those involving the motor regions for which graph analysis revealed reduced accessibility and an increased cen-trality during the movement. This highlights that network analysis brings complementary knowledge with respect to established approaches for modeling motor-induced FC.
AB - In this paper we investigate task-related changes in brain functional connectivity (FC) by applying different methods namely event-related desynchronization (ERD), coherence and graph-theoretical analysis to electroencephalographic (EEG) recordings. While ERD provides an estimate of the differences in power spectral densities between task and rest conditions, coherence allows assessing the level of synchronization between the recorded signals and graph analysis enables the estimation of the functional network topology. EEGs were recorded on 10 subjects during left/right arm movements. Conventional analysis showed a significant ERD in both alpha and beta bands over the sensorimotor cortex. Connectivity assessment highlighted that stronger connections are those involving the motor regions for which graph analysis revealed reduced accessibility and an increased cen-trality during the movement. This highlights that network analysis brings complementary knowledge with respect to established approaches for modeling motor-induced FC.
KW - coherence
KW - EEG power
KW - ERD
KW - functional connectivity
KW - graph analysis
UR - http://www.scopus.com/inward/record.url?scp=84963945149&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963945149&partnerID=8YFLogxK
U2 - 10.1109/EUSIPCO.2015.7362854
DO - 10.1109/EUSIPCO.2015.7362854
M3 - Conference contribution
SN - 9780992862633
SP - 2596
EP - 2600
BT - 2015 23rd European Signal Processing Conference, EUSIPCO 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -