English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The most studies on functional connectivity have been done by analyzing thebrain's hemodynamic response to a stimulation. On the other hand, thelow-frequency spontaneous fluctuations in the blood oxygen level dependent(BOLD) signals of functional MRI have been observed in the resting state.However, the BOLD signals in resting state are significantly corrupted by hugenoises arising from cardiac pulsation, respiration, subject motion, scanner,and so forth. Especially, the noise compounds are stronger in the rat brainthan in the human brain. To overcome such an artifact, we assumed that fractalbehavior in BOLD signals reflects low frequency neural activity, and appliedthe theorem such that the wavelet correlation spectrum between long memoryprocesses is scale-invariant over low frequency scales. Here, we report anexperiment that shows special correlation patterns not only in correlation ofscaling coefficients in very low-frequency band (less than 0.0078Hz) but alsoin asymptotic wavelet correlation. In addition, we show the distribution of theHurst exponents in the rat brain.

Fractal-based Correlation Analysis for Resting State Functional Connectivity of the Rat Brain in Functional MRI