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Clinical Applications of the Functional Connectome

  • Massimo FilippiEmail author
  • Maria A. Rocca
Protocol
Part of the Neuromethods book series (NM, volume 119)

Abstract

Network-based analysis of brain functional connections has provided a novel instrument to study the human brain in healthy and diseased individuals. Graph theory provides a powerful tool to describe quantitatively the topological organization of brain connectivity. Using such a framework, the brain can be depicted as a set of nodes connected by edges. Distinct modifications of brain network topology have been identified during development and normal aging, whereas disrupted functional connectivity has been associated to several neurological and psychiatric conditions, including multiple sclerosis, dementia, amyotrophic lateral sclerosis, and schizophrenia. Such an assessment has contributed to explain part of the clinical manifestations usually observed in these patients, including disability and cognitive impairment. Future network-based research might reveal different stages of the different diseases, subtypes for cognitive impairments, and connectivity profiles associated with different clinical outcomes.

Key words

Brain networks Structural connectivity Functional connectivity Graph theory Multiple sclerosis Dementias Psychiatric conditions 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Neuroimaging Research Unit, Institute of Experimental Neurology, Division of NeuroscienceSan Raffaele Scientific Institute, Vita-Salute San Raffaele UniversityMilanItaly
  2. 2.Department of Neurology, Division of NeuroscienceSan Raffaele Scientific Institute, Vita-Salute San Raffaele UniversityMilanItaly

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