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.
| Original language | English |
|---|---|
| Title of host publication | Neuromethods |
| Publisher | Humana Press Inc. |
| Pages | 893-903 |
| Number of pages | 11 |
| Volume | 119 |
| DOIs | |
| Publication status | Published - Sep 1 2016 |
Publication series
| Name | Neuromethods |
|---|---|
| Volume | 119 |
| ISSN (Print) | 08932336 |
| ISSN (Electronic) | 19406045 |
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Keywords
- Brain networks
- Dementias
- Functional connectivity
- Graph theory
- Multiple sclerosis
- Psychiatric conditions
- Structural connectivity
ASJC Scopus subject areas
- Neuroscience(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Pharmacology, Toxicology and Pharmaceutics(all)
- Psychiatry and Mental health
Cite this
Clinical applications of the functional connectome. / Filippi, Massimo; Rocca, Maria A.
Neuromethods. Vol. 119 Humana Press Inc., 2016. p. 893-903 (Neuromethods; Vol. 119).Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Clinical applications of the functional connectome
AU - Filippi, Massimo
AU - Rocca, Maria A.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - 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.
AB - 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.
KW - Brain networks
KW - Dementias
KW - Functional connectivity
KW - Graph theory
KW - Multiple sclerosis
KW - Psychiatric conditions
KW - Structural connectivity
UR - http://www.scopus.com/inward/record.url?scp=84988893655&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988893655&partnerID=8YFLogxK
U2 - 10.1007/978-1-4939-5611-1_30
DO - 10.1007/978-1-4939-5611-1_30
M3 - Chapter
AN - SCOPUS:84988893655
VL - 119
T3 - Neuromethods
SP - 893
EP - 903
BT - Neuromethods
PB - Humana Press Inc.
ER -