Dynamical Signatures of Structural Connectivity Damage to a Model of the Brain Posed at Criticality

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Synchronization of brain activity fluctuations is believed to represent communication between spatially distant neural processes. These interareal functional interactions develop in the background of a complex network of axonal connections linking cortical and subcortical neurons, termed the human &...

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Autor principal: Haimovici, A.
Otros Autores: Balenzuela, Pablo, Tagliazucchi, E.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: Mary Ann Liebert Inc. 2016
Acceso en línea:Registro en Scopus
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100 1 |a Haimovici, A. 
245 1 0 |a Dynamical Signatures of Structural Connectivity Damage to a Model of the Brain Posed at Criticality 
260 |b Mary Ann Liebert Inc.  |c 2016 
270 1 0 |m Tagliazucchi, E.; Netherlands Institute for Neuroscience, Meibergdreef 47, Netherlands; email: tagliazucchi.enzo@googlemail.com 
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506 |2 openaire  |e Política editorial 
520 3 |a Synchronization of brain activity fluctuations is believed to represent communication between spatially distant neural processes. These interareal functional interactions develop in the background of a complex network of axonal connections linking cortical and subcortical neurons, termed the human "structural connectome." Theoretical considerations and experimental evidence support the view that the human brain can be modeled as a system operating at a critical point between ordered (subcritical) and disordered (supercritical) phases. Here, we explore the hypothesis that pathologies resulting from brain injury of different etiologies are related to this model of a critical brain. For this purpose, we investigate how damage to the integrity of the structural connectome impacts on the signatures of critical dynamics. Adopting a hybrid modeling approach combining an empirical weighted network of human structural connections with a conceptual model of critical dynamics, we show that lesions located at highly transited connections progressively displace the model toward the subcritical regime. The topological properties of the nodes and links are of less importance when considered independently of their weight in the network. We observe that damage to midline hubs such as the middle and posterior cingulate cortex is most crucial for the disruption of criticality in the model. However, a similar effect can be achieved by targeting less transited nodes and links whose connection weights add up to an equivalent amount. This implies that brain pathology does not necessarily arise due to insult targeted at well-connected areas and that intersubject variability could obscure lesions located at nonhub regions. Finally, we discuss the predictions of our model in the context of clinical studies of traumatic brain injury and neurodegenerative disorders. © 2016 Mary Ann Liebert, Inc.  |l eng 
593 |a Departamento de Física, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina 
593 |a Instituto de Física de Buenos Aires (IFIBA), CONICET, Buenos Aires, Argentina 
593 |a Netherlands Institute for Neuroscience, Meibergdreef 47, Amsterdam-Zuidoost BA, 1105, Netherlands 
690 1 0 |a ANATOMIC CONNECTIVITY 
690 1 0 |a BRAIN INJURY 
690 1 0 |a DYNAMICS 
690 1 0 |a FUNCTIONAL CONNECTIVITY 
690 1 0 |a MODELING 
690 1 0 |a ARTICLE 
690 1 0 |a BRAIN DAMAGE 
690 1 0 |a CINGULATE GYRUS 
690 1 0 |a CONNECTOME 
690 1 0 |a MIDDLE CINGULATE CORTEX 
690 1 0 |a NEUROPATHOLOGY 
690 1 0 |a PATHOLOGICAL ANATOMY 
690 1 0 |a POSTERIOR CINGULATE 
690 1 0 |a PRIORITY JOURNAL 
690 1 0 |a STRUCTURAL CONNECTOME 
690 1 0 |a BIOLOGICAL MODEL 
690 1 0 |a BRAIN 
690 1 0 |a BRAIN INJURY 
690 1 0 |a COMPUTER SIMULATION 
690 1 0 |a CONNECTOME 
690 1 0 |a DIFFUSION TENSOR IMAGING 
690 1 0 |a HUMAN 
690 1 0 |a NERVE CELL NETWORK 
690 1 0 |a NERVE TRACT 
690 1 0 |a PATHOPHYSIOLOGY 
690 1 0 |a PHYSIOLOGY 
690 1 0 |a PROCEDURES 
690 1 0 |a STATISTICS AND NUMERICAL DATA 
690 1 0 |a BRAIN 
690 1 0 |a BRAIN INJURIES 
690 1 0 |a COMPUTER SIMULATION 
690 1 0 |a CONNECTOME 
690 1 0 |a DIFFUSION TENSOR IMAGING 
690 1 0 |a HUMANS 
690 1 0 |a MODELS, NEUROLOGICAL 
690 1 0 |a NERVE NET 
690 1 0 |a NEURAL PATHWAYS 
700 1 |a Balenzuela, Pablo 
700 1 |a Tagliazucchi, E. 
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