Name
Abstract | ||
|---|---|---|
Recent EEG–fMRI studies have shown that different stages of sleep are associated with changes in both brain activity and functional connectivity. These results raise the concern that lack of vigilance measures in resting state experiments may introduce confounds and contamination due to subjects falling asleep inside the scanner. In this study we present a method to perform automatic sleep staging using only fMRI functional connectivity data, thus providing vigilance information while circumventing the technical demands of simultaneous recording of EEG, the gold standard for sleep scoring. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.neuroimage.2012.06.036 | NeuroImage |
Keywords | Field | DocType |
Sleep staging,fMRI,Resting state,Functional connectivity,Support vector machines | Resting state fMRI,Support vector machine,Psychology,Vigilance (psychology),Independent component analysis,Artificial intelligence,Classifier (linguistics),Cross-validation,Sleep Stages,Electroencephalography,Machine learning | Journal |
Volume | Issue | ISSN |
63 | 1 | 1053-8119 |
Citations | PageRank | References |
24 | 1.22 | 17 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enzo Tagliazucchi | 1 | 107 | 8.96 |
| Frederic von Wegner | 2 | 108 | 9.13 |
| Astrid Morzelewski | 3 | 80 | 5.00 |
| Sergey Borisov | 4 | 80 | 5.33 |
| Kolja Jahnke | 5 | 52 | 3.58 |
| H Laufs | 6 | 445 | 38.97 |