Assessment of system dysfunction in the brain through MRI-based connectomics

Massimo Filippi*, Martijn P. van den Heuvel, Alexander Fornito, Yong He, Hilleke E. Hulshoff Pol, Federica Agosta, Giancarlo Comi, Maria A. Rocca

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

Abstract

Network-based analysis of structural and functional connections has provided a new technique to study the brains of healthy people and patients with neurological and psychiatric disorders. Graph theory provides a powerful method to quantitatively describe the topological organisation of brain connectivity. With such a framework, the brain can be depicted as a set of nodes connected by edges. Distinct modifications of network topological organisation in the brain have been identified during development and normal ageing, whereas disrupted functional and structural connectivities have been associated with several neurological and psychiatric disorders, including dementia, amyotrophic lateral sclerosis, multiple sclerosis, and schizophrenia. These assessments have improved understanding of the clinical manifestations noted in these patients, including disability and cognitive impairment. Future network-based research might enable indentification of different stages of disorders, subtypes for cognitive impairment, and connectivity profiles associated with different clinical outcomes.

Original languageEnglish
Pages (from-to)1189-1199
Number of pages11
JournalThe Lancet Neurology
Volume12
Issue number12
DOIs
Publication statusPublished - 1 Dec 2013

Cite this

Filippi, M., van den Heuvel, M. P., Fornito, A., He, Y., Hulshoff Pol, H. E., Agosta, F., ... Rocca, M. A. (2013). Assessment of system dysfunction in the brain through MRI-based connectomics. The Lancet Neurology, 12(12), 1189-1199. https://doi.org/10.1016/S1474-4422(13)70144-3