1. Functional connectivity fMRI of the rodent brain : comparison of functional connectivity networks in rat and mouse
- Author
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Annemie Van der Linden, Marleen Verhoye, Johan Van Audekerke, Geoffrey de Visscher, and Elisabeth Jonckers
- Subjects
Central Nervous System ,Pathology ,medicine.medical_specialty ,Anatomy and Physiology ,Medical Physics ,Mouse ,Veterinary medicine ,Hippocampus ,Neurophysiology ,lcsh:Medicine ,Neuroimaging ,Biology ,Somatosensory system ,Neurological System ,Mice ,Model Organisms ,Species Specificity ,medicine ,Animals ,lcsh:Science ,Cerebral Cortex ,Multidisciplinary ,Resting state fMRI ,medicine.diagnostic_test ,Physics ,fMRI ,lcsh:R ,Reproducibility of Results ,Magnetic resonance imaging ,Animal Models ,Connectomics ,Entorhinal cortex ,Magnetic Resonance Imaging ,Rats ,Neuroanatomy ,Visual cortex ,medicine.anatomical_structure ,Neurology ,Cerebral cortex ,Rat ,Medicine ,lcsh:Q ,Functional magnetic resonance imaging ,Radiology ,Neuroscience ,Research Article - Abstract
At present, resting state functional MRI (rsfMRI) is increasingly used in human neuropathological research. The present study aims at implementing rsfMRI in mice, a species that holds the widest variety of neurological disease models. Moreover, by acquiring rsfMRI data with a comparable protocol for anesthesia, scanning and analysis, in both rats and mice we were able to compare findings obtained in both species. The outcome of rsfMRI is different for rats and mice and depends strongly on the applied number of components in the Independent Component Analysis (ICA). The most important difference was the appearance of unilateral cortical components for the mouse resting state data compared to bilateral rat cortical networks. Furthermore, a higher number of components was needed for the ICA analysis to separate different cortical regions in mice as compared to rats.
- Published
- 2011