other · Figshare · 2021
The binarized recurrence plot (bRP) and binarized cross recurrence plot (bCRP) methods.
Clara Rodriguez-Sabate (4512394), Manuel Rodriguez (3864133), Ingrid Morales (4512397)
Cited by 0Open access
Abstract
<p>BOLD data are normalized as percentages of the mean BOLD-value of each subject (A) and binarized by replacing the data higher than the mean value with the number 1 (which represent a status of high-metabolic activity) and those lower or equal to the mean value with the number 0 (low metabolic activity) (B). The next step is to calculate the number of 1–1 matches (ON-ON matches) for the bRP and bCRP. The bRP computes the ON-ON match matrix of each task-block of each subject (ON-ON matches of each time-point regarding all the time-points of the same block). This is a 100x100 matrix whose elements can be 1 (ON-ON match) or 0 (ON-ON mismatch). The bRP was computed by adding the two ON-ON match matrices of the same experimental-block of each subject to those of all the other subjects of the experimental group (C). Thus, each of the 100x100 elements of the bRP have a value between 0 (no ON-ON matches) and 40 (the 20 subjects of each group showed ON-ON matches in both task-blocks). The bCRP was computed with the same procedure but using the ON-ON matches of a particular brain region with those recorded in another brain region (D). Thus, whereas the bRP shows the time-dynamic of a brain region, the bCRP shows the time-dynamic of the relationship between two brain regions. The statistical significance (D) of each value of the bRP and bCRP matrices was computed with a Chi<sup>2</sup> test. The bRP and bCRP values are between 0 and 40 and each of the four possible combinations of the ON and OFF status should be found 25% of times. The distance between the expected and found numbers of ON-ON matches was established using the Chi<sup>2</sup> distribution, and only values with a Chi<sup>2</sup> probability lower than 0.01% were considered.</p>
Cite this paper
(4512394), C. R.-S., (3864133), M. R., & (4512397), I. M. (2021). The binarized recurrence plot (bRP) and binarized cross recurrence plot (bCRP) methods. Figshare. https://doi.org/10.1371/journal.pone.0252565.g001
(4512394), Clara Rodriguez-Sabate, et al. “The binarized recurrence plot (bRP) and binarized cross recurrence plot (bCRP) methods.” Figshare, 2021, https://doi.org/10.1371/journal.pone.0252565.g001.
(4512394), Clara Rodriguez-Sabate, Manuel Rodriguez (3864133), and Ingrid Morales (4512397). 2021. “The binarized recurrence plot (bRP) and binarized cross recurrence plot (bCRP) methods.” Figshare. https://doi.org/10.1371/journal.pone.0252565.g001.
(4512394), C.R.-S., (3864133), M.R. and (4512397), I.M. (2021) ‘The binarized recurrence plot (bRP) and binarized cross recurrence plot (bCRP) methods’, Figshare. Available at: https://doi.org/10.1371/journal.pone.0252565.g001.
@misc{45123942021binarized,
title = {{The binarized recurrence plot (bRP) and binarized cross recurrence plot (bCRP) methods.}},
author = {(4512394), Clara Rodriguez-Sabate and (3864133), Manuel Rodriguez and (4512397), Ingrid Morales},
journal = {Figshare},
year = {2021},
doi = {10.1371/journal.pone.0252565.g001}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.