NDLI: Dynamic properties of functional connectivity in the rodent.

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Year: 2012 Volume: 2

Year: 2011 Volume: 1

Dynamic properties of functional connectivity in the rodent.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Keilholz, Shella D. Magnuson, Matthew E. Pan, Wen-Ju Willis, Martha Thompson, Garth J.
Description	Country affiliation: United States Author Affiliation: Keilholz SD ( Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia 30322, USA. shella.keilholz@bme.gatech.edu)
Abstract	Functional connectivity mapping with resting-state magnetic resonance imaging (MRI) has become an immensely powerful technique that provides insight into both normal cognitive function and disruptions linked to neurological disorders. Traditionally, connectivity is mapped using data from an entire scan (minutes), but it is well known that cognitive processes occur on much shorter time scales (seconds). Recent studies have demonstrated that the correlation between the blood oxygenation level-dependent (BOLD) MRI signal from different areas varies over time, motivating a further exploration of these fluctuations in apparent connectivity. However, it has also been shown that similar changes in correlation can arise when the timing relationships between voxels are randomized (Handwerker et al., 2012 ). In this work, we show that functional connectivity in the anesthetized rat exhibits dynamic properties that are similar to those previously observed in awake humans (Chang and Glover, 2010 ) and anesthetized monkeys (Hutchison et al., 2012 ). Sliding window correlation between BOLD time courses obtained from bilateral cortical and subcortical regions of interest results in periods of variable positive and negative correlation for most pairs of areas except homologous areas in opposite hemispheres, which exhibit a primarily positive correlation. A comparison with sliding window correlation of randomly matched time courses suggests that with the exception of homologous areas and sensorimotor connections, the dynamics cannot be distinguished from random fluctuations in correlation over time, supporting the idea that some of these dynamic patterns may be due to inherent properties of the signal rather than variations in neural coherence. Within the pairs of areas where the dynamics are most different from those of randomly matched time courses, ten common patterns of connectivity are identified, and their occurrence as a function of time is plotted for all animals. The observation of time-varying correlation in the rodent model will facilitate the future multimodal experiments needed to determine whether the changes in apparent connectivity are linked to underlying neural variability.
File Format	HTM / HTML
ISSN	21580014
e-ISSN	21580022
DOI	10.1089/brain.2012.0115
Journal	Brain Connectivity
Issue Number	1
Volume Number	3
Language	English
Publisher	Mary Ann Liebert, Inc.
Publisher Date	2013-01-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Discipline Neurology Discipline Brain Brain Physiology Nerve Net Animals Brain Mapping Image Processing, Computer-assisted Magnetic Resonance Imaging Rats, Sprague-dawley Research Support, N.i.h., Extramural Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Neuroscience

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