Bayesiancorrelation analysisfunctional connectivityprobabilisticresting-state fMRIOne popular method of assessing brain functional connectivity (FC) is through seed-based correlation (SCA) analysis. One drawback of this method is when the seed location is varied slightly, the FC can vary dramatically. We...
The GCS thus appears to be a valuable addition to the spatial leakage correction toolkits for seed-based FC analyses in source-projected MEG/EEG data. Hum Brain Mapp 36:4604鈥 4621, 2015 . 2015 Wiley Periodicals, Inc.doi:10.1002/hbm.22943...
In the present study, the cerebellar dentate nucleus, the largest cerebellar nucleus and the major output channel to the cerebral cortex, was chosen as the region of interest to test potential cerebellocerebral FC alterations and correlations with patients' memory impairment in a group of patients...
value of 0.22 confirmed the presence of a strong population structure. A total of 408 alleles were detected, with the South American population capturing the highest overall diversity. However, the genetic diversity was narrow, as indicated by the small number of alleles per locus (2.72) and gen...
In Brazil, drowning deaths have significantly decreased 39% (1979-2012), in part due to preventive programs offered by SOBRASA. Fatal drowning has a relevant impact in fresh water environments (92%) with higher incidence in males aged 15-29, and occurring mainly in isolated places inland, whe...
The methods are implemented and applied on the fcPAT data of a mouse brain. We also add noise to the fcPAT data and explore the noise tolerance of these metrics.Afsoon khodaeiMohammadreza NasiriavanakiDepartment of Biomedical Engineering Wayne State University Detroit MI USA; Department ...
This research article proposes FC-SEEDA: Fog Computing-based Secure and Energy-Efficient Data Aggregation scheme for Internet of healthcare Things. By leveraging the distributed nature and other extended capabilities of Fog Computing, the main objective of this proposed scheme is to decrease the ...
Purpose One popular method of assessing brain functional connectivity (FC) is through seed‐based correlation (SCA) analysis. One drawback of this method is when the seed location is varied slightly, the FC can vary dramatically. We propose a method superior to SCA, robust to variations in ...
Results showed that when the fraction cover of the canopy (fc) = 1, the estimated rce by aggregating female and male canopy resistances in parallel, was closer to the measured rce (rcec), which was obtained by inverting the P–M model based on effective resistance using measured ET by the...
Conclusion: The SCAReHo analysis improved the detection of FC in DMN using the RS- fMRI. This method may be particular helpful for subject groups with functional anatomy that likely differs from the normal population.YanDepartmentF.X.Department...