TY - JOUR
T1 - Brain network organization and social executive performance in frontotemporal dementia
AU - Sedeño, Lucas
AU - Couto, Blas
AU - García-Cordero, Indira
AU - Melloni, Margherita
AU - Baez, Sandra
AU - Sepúlveda, Juan Pablo Morales
AU - Fraiman, Daniel
AU - Huepe, David
AU - Hurtado, Esteban
AU - Matallana, Diana
AU - Kuljis, Rodrigo
AU - Torralva, Teresa
AU - Chialvo, Dante
AU - Sigman, Mariano
AU - Piguet, Olivier
AU - Manes, Facundo
AU - Ibanez, Agustin
PY - 2016/2/18
Y1 - 2016/2/18
N2 - Objectives: Behavioral variant frontotemporal dementia (bvFTD) is characterized by early atrophy in the frontotemporoinsular regions. These regions overlap with networks that are engaged in social cognition-executive functions, two hallmarks deficits of bvFTD. We examine (i) whether Network Centrality (a graph theory metric that measures how important a node is in a brain network) in the frontotemporoinsular network is disrupted in bvFTD, and (ii) the level of involvement of this network in social-executive performance. Methods: Patients with probable bvFTD, healthy controls, and frontoinsular stroke patients underwent functional MRI resting-state recordings and completed social-executive behavioral measures. Results: Relative to the controls and the stroke group, the bvFTD patients presented decreased Network Centrality. In addition, this measure was associated with social cognition and executive functions. To test the specificity of these results for the Network Centrality of the frontotemporoinsular network, we assessed the main areas from six resting-state networks. No group differences or behavioral associations were found in these networks. Finally, Network Centrality and behavior distinguished bvFTD patients from the other groups with a high classification rate. Conclusions: bvFTD selectively affects Network Centrality in the frontotemporoinsular network, which is associated with high-level social and executive profile.
AB - Objectives: Behavioral variant frontotemporal dementia (bvFTD) is characterized by early atrophy in the frontotemporoinsular regions. These regions overlap with networks that are engaged in social cognition-executive functions, two hallmarks deficits of bvFTD. We examine (i) whether Network Centrality (a graph theory metric that measures how important a node is in a brain network) in the frontotemporoinsular network is disrupted in bvFTD, and (ii) the level of involvement of this network in social-executive performance. Methods: Patients with probable bvFTD, healthy controls, and frontoinsular stroke patients underwent functional MRI resting-state recordings and completed social-executive behavioral measures. Results: Relative to the controls and the stroke group, the bvFTD patients presented decreased Network Centrality. In addition, this measure was associated with social cognition and executive functions. To test the specificity of these results for the Network Centrality of the frontotemporoinsular network, we assessed the main areas from six resting-state networks. No group differences or behavioral associations were found in these networks. Finally, Network Centrality and behavior distinguished bvFTD patients from the other groups with a high classification rate. Conclusions: bvFTD selectively affects Network Centrality in the frontotemporoinsular network, which is associated with high-level social and executive profile.
KW - fMRI resting-state
KW - Frontoinsular stroke
KW - Functional connectivity
KW - Graph theory analysis
KW - Neurodegenerative disease
KW - Node centrality
UR - http://www.scopus.com/inward/record.url?scp=84958951474&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/nhmrc/1022684
U2 - 10.1017/S1355617715000703
DO - 10.1017/S1355617715000703
M3 - Article
C2 - 26888621
AN - SCOPUS:84958951474
SN - 1355-6177
VL - 22
SP - 250
EP - 262
JO - Journal of the International Neuropsychological Society
JF - Journal of the International Neuropsychological Society
IS - 2
ER -