Lucas Sedeño1, Blas Couto1, Indira García-Cordero1, Margherita Melloni1, Sandra Baez1, Juan Pablo Morales Sepúlveda2, Daniel Fraiman3, David Huepe2, Esteban Hurtado2, Diana Matallana4, Rodrigo Kuljis2, Teresa Torralva1, Dante Chialvo3, Mariano Sigman5, Olivier Piguet6, Facundo Manes1, Agustin Ibanez1. 1. 1Laboratory of Experimental Psychology and Neuroscience (LPEN),INECO (Institute of Cognitive Neurology) and Institute of Neuroscience,Favaloro University,Buenos Aires,Argentina. 2. 2UDP-INECO Foundation Core on Neuroscience (UIFCoN),Faculty of Psychology, Diego Portales University,Santiago,Chile. 3. 3National Scientific and Technical Research Council (CONICET),Buenos Aires,Argentina. 4. 6Intellectus Memory and Cognition Center,Mental Health and Psychiatry Department,San Ignacio Hospital,Aging Institute,Pontifical Javeriana University,Bogotá,Colombia. 5. 8Universidad Torcuato Di Tella,Buenos Aires,Argentina. 6. 9Neuroscience Research Australia,Sydney, Australia and School of Medical Sciences,The University of New South Wales,Sydney,Australia.
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.
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 strokepatients 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.
Authors: Indira García-Cordero; Lucas Sedeño; Laura de la Fuente; Andrea Slachevsky; Gonzalo Forno; Francisco Klein; Patricia Lillo; Jesica Ferrari; Clara Rodriguez; Julian Bustin; Teresa Torralva; Sandra Baez; Adrian Yoris; Sol Esteves; Margherita Melloni; Paula Salamone; David Huepe; Facundo Manes; Adolfo M García; Agustín Ibañez Journal: Philos Trans R Soc Lond B Biol Sci Date: 2016-10-10 Impact factor: 6.237
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Authors: Maria Luisa Mandelli; Ariane E Welch; Eduard Vilaplana; Christa Watson; Giovanni Battistella; Jesse A Brown; Katherine L Possin; Honey I Hubbard; Zachary A Miller; Maya L Henry; Gabe A Marx; Miguel A Santos-Santos; Lynn P Bajorek; Juan Fortea; Adam Boxer; Gil Rabinovici; Suzee Lee; Jessica Deleon; Howard J Rosen; Bruce L Miller; William W Seeley; Maria Luisa Gorno-Tempini Journal: Cortex Date: 2018-08-11 Impact factor: 4.027
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