Functional connectivity in the rat brain: a complex network approach

Bifone, Angelo; Gozzi, Alessandro; Schwarz, Adam J.

doi:10.1016/j.mri.2010.07.001

Cited by 31 publications

(18 citation statements)

References 62 publications

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“…Interregional correlation-based functional connectivity analysis has been applied on rodent brain imaging data to understand brain network activity underlying the resting state [46,55,73] and extinction of conditioned fear [4] among other behaviors [reviewed in 6]. More recently, graph theoretical analysis has been adapted to the study of functional and structural brain networks [reviewed in 7].…”

Section: Methodsmentioning

confidence: 99%

Functional brain activation during retrieval of visceral pain-conditioned passive avoidance in the rat

Wang

Bradesi

Charles

et al. 2011

Pain

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Section: Methodsmentioning

confidence: 99%

Functional brain activation during retrieval of visceral pain-conditioned passive avoidance in the rat

Wang

Bradesi

Charles

et al. 2011

Pain

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“…Therefore, there has been much interest in taking the alternative approach of characterizing disrupted functional interactions between brain regions in the context of complex brain networks, which may provide added insight into those interactions disrupted in schizophrenia (Lynall et al, 2010;Micheloyannis et al, 2006;Bassett et al, 2008;Liu et al, 2008). More recently, these approaches have also been applied to further understand how risk factors for psychiatric disorder impact on structural brain networks (Li et al, 2012) and their application to preclinical brain imaging data with translational relevance to the disorder has started to emerge (Bifone et al, 2010;Dawson et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Subanesthetic Ketamine Treatment Promotes Abnormal Interactions between Neural Subsystems and Alters the Properties of Functional Brain Networks

Dawson

McDonald

Higham

et al. 2014

Neuropsychopharmacol

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Acute treatment with subanesthetic ketamine, a non-competitive N-methyl-D-aspartic acid (NMDA) receptor antagonist, is widely utilized as a translational model for schizophrenia. However, how acute NMDA receptor blockade impacts on brain functioning at a systems level, to elicit translationally relevant symptomatology and behavioral deficits, has not yet been determined. Here, for the first time, we apply established and recently validated topological measures from network science to brain imaging data gained from ketamine-treated mice to elucidate how acute NMDA receptor blockade impacts on the properties of functional brain networks. We show that the effects of acute ketamine treatment on the global properties of these networks are divergent from those widely reported in schizophrenia. Where acute NMDA receptor blockade promotes hyperconnectivity in functional brain networks, pronounced dysconnectivity is found in schizophrenia. We also show that acute ketamine treatment increases the connectivity and importance of prefrontal and thalamic brain regions in brain networks, a finding also divergent to alterations seen in schizophrenia. In addition, we characterize how ketamine impacts on bipartite functional interactions between neural subsystems. A key feature includes the enhancement of prefrontal cortex (PFC)-neuromodulatory subsystem connectivity in ketamine-treated animals, a finding consistent with the known effects of ketamine on PFC neurotransmitter levels. Overall, our data suggest that, at a systems level, acute ketamine-induced alterations in brain network connectivity do not parallel those seen in chronic schizophrenia. Hence, the mechanisms through which acute ketamine treatment induces translationally relevant symptomatology may differ from those in chronic schizophrenia. Future effort should therefore be dedicated to resolve the conflicting observations between this putative translational model and schizophrenia.

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“…Recently, translation of rs-fMRI applications to small laboratory animals has been reported (for review see [14] offering the possibility to investigate the neurophysiological basis, address potential confounding effects of physiological noise on BOLD-based FC measures, or to study the dynamic of the identified networks [15]–[19]. Furthermore it enables to probe FC within disease-relevant brain networks as recently demonstrated in experimental rodent models of peripheral nerve injury [20], spinal cord injury [21], stroke [22], absence seizure [23] and potentially in genetic mouse models [24].…”

Section: Introductionmentioning

confidence: 99%

Preserved Modular Network Organization in the Sedated Rat Brain

et al. 2014

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Translation of resting-state functional connectivity (FC) magnetic resonance imaging (rs-fMRI) applications from human to rodents has experienced growing interest, and bears a great potential in pre-clinical imaging as it enables assessing non-invasively the topological organization of complex FC networks (FCNs) in rodent models under normal and various pathophysiological conditions. However, to date, little is known about the organizational architecture of FCNs in rodents in a mentally healthy state, although an understanding of the same is of paramount importance before investigating networks under compromised states. In this study, we characterized the properties of resting-state FCN in an extensive number of Sprague-Dawley rats (n = 40) under medetomidine sedation by evaluating its modular organization and centrality of brain regions and tested for reproducibility. Fully-connected large-scale complex networks of positively and negatively weighted connections were constructed based on Pearson partial correlation analysis between the time courses of 36 brain regions encompassing almost the entire brain. Applying recently proposed complex network analysis measures, we show that the rat FCN exhibits a modular architecture, comprising six modules with a high between subject reproducibility. In addition, we identified network hubs with strong connections to diverse brain regions. Overall our results obtained under a straight medetomidine protocol show for the first time that the community structure of the rat brain is preserved under pharmacologically induced sedation with a network modularity contrasting from the one reported for deep anesthesia but closely resembles the organization described for the rat in conscious state.

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Functional connectivity in the rat brain: a complex network approach

Cited by 31 publications

References 62 publications

Functional brain activation during retrieval of visceral pain-conditioned passive avoidance in the rat

Functional brain activation during retrieval of visceral pain-conditioned passive avoidance in the rat

Subanesthetic Ketamine Treatment Promotes Abnormal Interactions between Neural Subsystems and Alters the Properties of Functional Brain Networks

Preserved Modular Network Organization in the Sedated Rat Brain

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