Name
Abstract | ||
|---|---|---|
Recently, the field of functional brain connectivity has shifted its attention on studying how functional connectivity (FC) between remote regions changes over time. It is becoming increasingly evident that the human "connectome" is a dynamical entity whose variations are effected over very short timescales and reflect crucial mechanisms which underline the physiological functioning of the brain. In this study, we employ ad-hoc statistical and surrogate data generation methods to quantify whether and which brain networks displayed dynamic behaviors in a very large sample of healthy subjects provided by the Human Connectome Project (HCP). Our findings provided evidences that there are specific pairs of networks and specific networks within the healthy brain that are more likely to display dynamic behaviors. This new set of findings supports the notion that studying the time-variant connectivity in the brain could reveal useful and important properties about brain functioning in health and disease. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/EMBC.2017.8037565 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Network connectivity,Neuroscience,Human Connectome Project,Connectome,Computer science,Resting state fMRI,Human brain,Surrogate data | Conference | 2017 |
ISSN | Citations | PageRank |
1094-687X | 0 | 0.34 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Riccelli | 1 | 2 | 1.37 |
| Luca Passamonti | 2 | 43 | 11.28 |
| Andrea Duggento | 3 | 11 | 7.37 |
| maria guerrisi | 4 | 11 | 6.95 |
| Iole Indovina | 5 | 7 | 3.21 |
| nicola toschi | 6 | 36 | 15.57 |