Brain network organization and social executive performance in frontotemporal dementia

Lucas Sedeño, Blas Couto, Indira García-Cordero, Margherita Melloni, Sandra Baez, Juan Pablo Morales Sepúlveda, Daniel Fraiman, David Huepe, Esteban Hurtado, Diana Matallana, Rodrigo Kuljis, Teresa Torralva, Dante Chialvo, Mariano Sigman, Olivier Piguet, Facundo Manes, Agustin Ibanez*

*Corresponding author for this work

    Research output: Contribution to journalArticle

    39 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)250-262
    Number of pages13
    JournalJournal of the International Neuropsychological Society
    Volume22
    Issue number2
    DOIs
    Publication statusPublished - 18 Feb 2016

    Keywords

    • fMRI resting-state
    • Frontoinsular stroke
    • Functional connectivity
    • Graph theory analysis
    • Neurodegenerative disease
    • Node centrality

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