Title
Classifying fMRI-derived resting-state connectivity patterns according to their daily rhythmicity.
Abstract
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 Blautzik1100.61
Céline Vetter2100.61
Isabella Peres3100.61
Evgeny Gutyrchik4101.28
D Keeser5252.44
Albert Berman6100.61
Valerie Kirsch7796.21
Sophia Mueller8100.61
Ernst Pöppel9216.10
M Reiser10213.57
Till Roenneberg11100.61
Thomas Meindl121005.36