Name
Title | ||
|---|---|---|
Multiscale Functional Clustering Reveals Frequency Dependent Brain Organization in Type II Focal Cortical Dysplasia with Sleep Hypermotor Epilepsy. |
Abstract | ||
|---|---|---|
Despite the small number of subjects included in the study, the present results suggest that the proposed multiscale functional clustering approach is a useful tool for the identification of the frequency-dependent mechanisms underlying seizure generation. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TBME.2019.2896893 | IEEE transactions on bio-medical engineering |
Keywords | Field | DocType |
Sleep,Epilepsy,Time-frequency analysis,Finite impulse response filters,Power harmonic filters,Microsoft Windows,Discrete wavelet transforms | Alpha (ethology),Computer vision,Neuroscience,Computer science,Epilepsy,Artificial intelligence,Discrete wavelet transform,Cluster analysis,Slow-wave sleep,Ictal,Cortical dysplasia,Sleep Stages | Journal |
Volume | Issue | ISSN |
66 | 10 | 1558-2531 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefania Coelli | 1 | 3 | 1.77 |
| E Maggioni | 2 | 1 | 1.37 |
| Annalisa Rubino | 3 | 0 | 0.34 |
| Chiara Campana | 4 | 0 | 1.01 |
| Lino Nobili | 5 | 20 | 7.45 |
| Anna Maria Bianchi | 6 | 119 | 15.44 |