التفاصيل البيبلوغرافية
| العنوان: |
Structural connectome topology relates to regional BOLD signal dynamics in the mouse brain. |
| المؤلفون: |
Sethi, Sarab S., Zerbi, Valerio, Wenderoth, Nicole, Fornito, Alex, Fulcher, Ben D. |
| المصدر: |
Chaos; 2017, Vol. 27 Issue 4, p1-14, 14p, 2 Diagrams, 2 Graphs |
| مصطلحات موضوعية: |
BRAIN mapping, BRAIN physiology, FUNCTIONAL magnetic resonance imaging, BRAIN imaging, NEURONS |
| مستخلص: |
Brain dynamics are thought to unfold on a network determined by the pattern of axonal connections linking pairs of neuronal elements; the so-called connectome. Prior work has indicated that structural brain connectivity constrains pairwise correlations of brain dynamics ("functional connectivity"), but it is not known whether inter-regional axonal connectivity is related to the intrinsic dynamics of individual brain areas. Here we investigate this relationship using a weighted, directed mesoscale mouse connectome from the Allen Mouse Brain Connectivity Atlas and resting state functional MRI (rs-fMRI) time-series data measured in 184 brain regions in eighteen anesthetized mice. For each brain region, we measured degree, betweenness, and clustering coefficient from weighted and unweighted, and directed and undirected versions of the connectome. We then characterized the univariate rs-fMRI dynamics in each brain region by computing 6930 time-series properties using the time-series analysis toolbox, hctsa. After correcting for regional volume variations, strong and robust correlations between structural connectivity properties and rs-fMRI dynamics were found only when edge weights were accounted for, and were associated with variations in the autocorrelation properties of the rs-fMRI signal. The strongest relationships were found for weighted in-degree, which was positively correlated to the autocorrelation of fMRI time series at time lag τ=34 s (partial Spearman correlation P = 0:58), as well as a range of related measures such as relative high frequency power (f>0.4Hz: P = -0:43). Our results indicate that the topology of inter-regional axonal connections of the mouse brain is closely related to intrinsic, spontaneous dynamics such that regions with a greater aggregate strength of incoming projections display longer timescales of activity fluctuations. [ABSTRACT FROM AUTHOR] |
|
Copyright of Chaos is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
