Prefiltering based on experimental paradigm for analysis of fMRI complex brain networks

• Published in: PloS one Vol. 15; no. 10; p. e0238994
• Main Authors: Jiménez, Salvador, Rotger, Laura, Aguirre, Carlos, Muñoz, Alberto, Granados, Sergio, Tornero, Jesús
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 14.10.2020; Public Library of Science (PLoS)
• Subjects: Adult; Analysis; Biology and Life Sciences; Brain; Brain - diagnostic imaging; Brain - physiology; Brain mapping; Brain Mapping - methods; Brain Mapping - statistics & numerical data; Cluster analysis; Computer and Information Sciences; Connectome - methods; Connectome - statistics & numerical data; Correlation; Data processing; Datasets; Exports; Female; Filtration; Functional magnetic resonance imaging; Humans; Magnetic resonance; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging - statistics & numerical data; Male; Medicine and Health Sciences; Methods; Motor task performance; Nerve Net - diagnostic imaging; Nerve Net - physiology; Networks; Neural circuitry; Neuroimaging; Oxygen - blood; Physical Sciences; Psychomotor Performance - physiology; Research and Analysis Methods; Trends; Spain
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0238994

Brain networks offers a new insight about connections between function and anatomical regions of human brain. We present results from brain networks built from functional magnetic resonance images during finger tapping paradigm. Pearson voxel-voxel correlation in time and frequency domains were performed for all subjects. Besides this standard framework we have implemented a new approach consisting in filtering the data with respect to the fMRI paradigm (finger tapping) in order to obtain a better understanding of the network involved in the execution of the task. The main topological graph measures have been compared in both cases: voxel-voxel correlation and voxel-paradigm filtering plus voxel-voxel correlation. With the standard voxel-voxel correlation a clearly free-scale network was obtained. On the other hand, when we prefiltered the paradigm we obtained two different kind of networks: 1) free-scale; 2) random-like. To our best knowledge, this behaviour is reported here for first time for brain networks. We suggest that paradigm signal prefiltering can provide more infomation about the brain networks.