Title | ||
---|---|---|
Classifying fMRI-derived resting-state connectivity patterns according to their daily rhythmicity. |
Abstract | ||
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The vast majority of biological functions express rhythmic fluctuations across the 24-hour day. We investigated the degree of daily modulation across fMRI (functional Magnetic Resonance Imaging) derived resting-state data in 15 subjects by evaluating the time courses of 20 connectivity patterns over 8h (4 sessions). |
Year | DOI | Venue |
---|---|---|
2013 | 10.1016/j.neuroimage.2012.08.010 | NeuroImage |
Keywords | Field | DocType |
Circadian rhythm,Homeostatic process,Resting-state networks,Functional magnetic resonance imaging,MCTQ | Voxel,Circadian rhythm,Neuroscience,Functional magnetic resonance imaging,Resting state fMRI,Psychology,Sleep deprivation,Chronotype,Spatial extent,Rhythm | Journal |
Volume | ISSN | Citations |
71 | 1053-8119 | 10 |
PageRank | References | Authors |
0.61 | 10 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Janusch Blautzik | 1 | 10 | 0.61 |
Céline Vetter | 2 | 10 | 0.61 |
Isabella Peres | 3 | 10 | 0.61 |
Evgeny Gutyrchik | 4 | 10 | 1.28 |
D Keeser | 5 | 25 | 2.44 |
Albert Berman | 6 | 10 | 0.61 |
Valerie Kirsch | 7 | 79 | 6.21 |
Sophia Mueller | 8 | 10 | 0.61 |
Ernst Pöppel | 9 | 21 | 6.10 |
M Reiser | 10 | 21 | 3.57 |
Till Roenneberg | 11 | 10 | 0.61 |
Thomas Meindl | 12 | 100 | 5.36 |