TY - JOUR
T1 - Cluster structure of functional networks estimated from high-resolution EGG data
AU - Sinatra, Roberta
AU - De Vico Fallani, Fabrizaio
AU - Astolfi, Laura
AU - Babiloni, Fabio
AU - Cincotti, Febo
AU - Mattia, Donatella
AU - Latora, Vito
PY - 2009
Y1 - 2009
N2 - We study the topological properties of functional connectivity patterns among cortical areas in the frequency domain. The cortical networks were estimated from high-resolution EEG recordings in a group of spinal cord injured patients and in a group of healthy subjects, during the preparation of a limb movement. We first evaluate global and local efficiency, as indicators of the structural connectivity respectively at a global and local scale. Then, we use the Markov Clustering method to analyze the division of the network into community structures. The results indicate large differences between the injured patients and the healthy subjects. In particular, the networks of spinal cord injured patient exhibited a higher density of efficient clusters. In the Alpha (7-12 Hz) frequency band, the two observed largest communities were mainly composed of the cingulate motor areas with the supplementary motor areas, and of the premotor areas with the right primary motor area of the foot. This functional separation strengthens the hypothesis of a compensative mechanism due to the partial alteration in the primary motor areas because of the effects of the spinal cord injury.
AB - We study the topological properties of functional connectivity patterns among cortical areas in the frequency domain. The cortical networks were estimated from high-resolution EEG recordings in a group of spinal cord injured patients and in a group of healthy subjects, during the preparation of a limb movement. We first evaluate global and local efficiency, as indicators of the structural connectivity respectively at a global and local scale. Then, we use the Markov Clustering method to analyze the division of the network into community structures. The results indicate large differences between the injured patients and the healthy subjects. In particular, the networks of spinal cord injured patient exhibited a higher density of efficient clusters. In the Alpha (7-12 Hz) frequency band, the two observed largest communities were mainly composed of the cingulate motor areas with the supplementary motor areas, and of the premotor areas with the right primary motor area of the foot. This functional separation strengthens the hypothesis of a compensative mechanism due to the partial alteration in the primary motor areas because of the effects of the spinal cord injury.
KW - Community structure
KW - Cortical activity
KW - Network efficiency
UR - http://www.scopus.com/inward/record.url?scp=67449138055&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67449138055&partnerID=8YFLogxK
U2 - 10.1142/S0218127409023020
DO - 10.1142/S0218127409023020
M3 - Article
AN - SCOPUS:67449138055
VL - 19
SP - 665
EP - 676
JO - International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
JF - International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
SN - 0218-1274
IS - 2
ER -