Your browser doesn't support javascript.
loading
Linking Structure and Function in Macroscale Brain Networks.
Suárez, Laura E; Markello, Ross D; Betzel, Richard F; Misic, Bratislav.
Afiliação
  • Suárez LE; McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
  • Markello RD; McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
  • Betzel RF; Psychological and Brain Sciences, Program in Neuroscience, Cognitive Science Program, Network Science Institute, Indiana University, Bloomington, IN, USA.
  • Misic B; McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada. Electronic address: bratislav.misic@mcgill.ca.
Trends Cogn Sci ; 24(4): 302-315, 2020 04.
Article em En | MEDLINE | ID: mdl-32160567
Structure-function relationships are a fundamental principle of many naturally occurring systems. However, network neuroscience research suggests that there is an imperfect link between structural connectivity and functional connectivity in the brain. Here, we synthesize the current state of knowledge linking structure and function in macroscale brain networks and discuss the different types of models used to assess this relationship. We argue that current models do not include the requisite biological detail to completely predict function. Structural network reconstructions enriched with local molecular and cellular metadata, in concert with more nuanced representations of functions and properties, hold great potential for a truly multiscale understanding of the structure-function relationship.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neurociências / Conectoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Trends Cogn Sci Assunto da revista: PSICOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neurociências / Conectoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Trends Cogn Sci Assunto da revista: PSICOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá