- Poster presentation
- Open Access
A dynamic model for delta rhythm fit to high-frequency cortical activity data shows discrete functional connectivity in mouse cortex
© Reimers et al; licensee BioMed Central Ltd. 2014
- Published: 21 July 2014
- Functional Connectivity
- Neural Activity
- Neural Computation
- Sparse Pattern
- Intrinsic Dynamic
Spontaneous activity as recorded by fMRI has often been used to infer active connections ('functional connectivity') in the human brain through correlations of activity measures. Some serious questions have been raised about the interpretation of these correlations, which are often apparent only on time scales of tens of seconds. Confirmation of correlations in measures of activity on shorter time-scales closer to those of neural activity would be very desirable.
Numerous mechanisms have been proposed for various rhythms but in the past half-century little consensus has been reached on the mechanism of any major rhythm. The recent development of high-throughput imaging methods enable us for the first time to rigorously and quantitatively test ideas about the dynamics of brain rhythms.
Our results suggest that similar methods can be used with data generated by the new high-throughput technologies anticipated by the BRAIN initiative, to understand communication between brain regions at time scales of neural computation.
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