Large-Scale Brain Networks in the Awake, Truly Resting Marmoset Monkey

Belcher, Annabelle M.; Yen, Cecil Chern-Chyi; Stepp, Haley; Gu, Hong; Lu, Hanbing; Yang, Yihong; Silva, Afonso C.; Stein, Elliot A.

doi:10.1523/jneurosci.3146-13.2013

Cited by 145 publications

(187 citation statements)

References 71 publications

(16 reference statements)

Supporting

Mentioning

154

Contrasting

Order By: Relevance

“…Research on rodent rs-fMRI repeatedly observed motor and somatosensory RSNs under anaesthesia (Hutchison et al, 2010, Lu et al, 2012, Grandjean et al, 2014a, Mechling et al, 2014, Nasrallah et al, 2014c comparable to those detected in awake rats (Liang et al, 2011(Liang et al, , 2012. Sensorimotor networks have been observed in monkeys and humans both under anaesthesia and at conscious rest (Peltier et al, 2005, Vincent et al, 2007, Martuzzi et al, 2010, van den Heuvel and Pol, 2010, Belcher et al, 2013.…”

Section: Discussionmentioning

confidence: 81%

Altered regional connectivity reflecting effects of different anaesthesia protocols in the mouse brain

Grandjean

Bosshard

et al. 2017

NeuroImage

View full text Add to dashboard Cite

Altered regional connectivity reflecting effects of different anaesthesia protocols in the mouse brain, NeuroImage, http://dx.doi.org/10.1016/j.neuroimage. 2017.01.074 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractStudies in mice using resting-state functional magnetic resonance imaging (rs-fMRI) have provided opportunities to investigate the effects of pharmacological manipulations on brain function and map the phenotypes of mouse models of human brain disorders. Mouse rs-fMRI is typically performed under anaesthesia, which induces both regional suppression of brain activity and disruption of large-scale neural networks. Previous comparative studies using rodents investigating various drug effects on long-distance functional connectivity (FC) have reported agent-specific FC patterns, however, effects of regional suppression are sparsely explored. Here we examined changes in regional connectivity under six different anaesthesia conditions using mouse rs-fMRI with the goal of refining the framework of understanding the brain activation under anaesthesia at a local level. Regional homogeneity (ReHo) was used to map local synchronization in the brain, followed by analysis of several brain areas based on ReHo maps. The results revealed high local coherence in most brain areas. The primary somatosensory cortex and caudate-putamen showed agent-specific properties. Lower local coherence in the cingulate cortex was observed under medetomidine, particularly when compared to the combination of medetomidine and isoflurane. The thalamus was associated with retained local coherence across anaesthetic levels and multiple nuclei. These results show that anaesthesia induced by the investigated anaesthetics through different molecular targets promote agent-specific regional connectivity. In addition, ReHo is a data-driven method with minimum user interaction, easy to use and fast to compute. Given that examination of the brain at a local level is widely applied in human rs-fMRI studies, our results show its sensitivity to extract information on varied neuronal activity under six different regimens relevant to mouse functional imaging. These results, therefore, will inform future rsfMRI studies on mice and the type of anaesthetic agent used, and will help to bridge observations between this burgeoning research field and ongoing human research across analytical scales.

show abstract

Section: Discussionmentioning

confidence: 81%

Altered regional connectivity reflecting effects of different anaesthesia protocols in the mouse brain

Grandjean

Bosshard

et al. 2017

NeuroImage

View full text Add to dashboard Cite

show abstract

“…Such coactivations can also be observed with functional MRI (fMRI). In visual cortex, regions selective for either foveal or peripheral stimuli, show correlated blood-oxygen level-dependent (BOLD) activity in anesthetized (7) and resting (8) monkeys. In human subjects, BOLD activity in visual areas is organized into highly specific maps (9-11), the organization of which reflect anatomy (12) and the specificity of which is affected by blindness (13).…”

mentioning

confidence: 99%

Stimulus-induced visual cortical networks are recapitulated by spontaneous local and interareal synchronization

Lewis

Bosman

Womelsdorf

2016

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Intrinsic covariation of brain activity has been studied across many levels of brain organization. Between visual areas, neuronal activity covaries primarily among portions with similar retinotopic selectivity. We hypothesized that spontaneous interareal coactivation is subserved by neuronal synchronization. We performed simultaneous high-density electrocorticographic recordings across the dorsal aspect of several visual areas in one hemisphere in each of two awake monkeys to investigate spatial patterns of local and interareal synchronization. We show that stimulation-induced patterns of interareal coactivation were reactivated in the absence of stimulation for the visual quadrant covered. Reactivation occurred through both interareal cofluctuation of local activity and interareal phase synchronization. Furthermore, the trial-by-trial covariance of the induced responses recapitulated the pattern of interareal coupling observed during stimulation, i.e., the signal correlation. Reactivation-related synchronization showed distinct peaks in the theta, alpha, and gamma frequency bands. During passive states, this rhythmic reactivation was augmented by specific patterns of arrhythmic correspondence. These results suggest that networks of intrinsic covariation observed at multiple levels and with several recording techniques are related to synchronization and that behavioral state may affect the structure of intrinsic dynamics.vision | intrinsic activity | oscillations | connectivity | networks A classical approach to perceptual neuroscience suggests that the brain should respond identically to repetitions of identical stimuli. In this framework, endogenously driven variance in the brain's response to repeated stimuli is considered noise (1). However, this so-called noise has been found to be highly structured and influenced by behavioral context (2). In fact, such variation is a flavor of the ongoing, spontaneous activity of the brain. Both the variation in the brain's response to identical stimuli and its spontaneous activity in the absence of stimulation are endogenously generated and structured in spatially specific intrinsic networks. Highly specific intrinsic networks have been described at essentially all spatial scales: from two individual neurons up to the whole brain. Membrane potentials of nearby neurons show a high degree of spontaneous correlation (3). Neuronal spike rates cofluctuate across physically identical trials, and this socalled noise correlation between neurons is related to the similarity in their stimulus selectivity (4). Correspondingly, when entire maps of population activity are investigated, patterns of activation induced by stimuli are found to reoccur spontaneously (5). The same holds across neighboring maps in auditory cortex, where population activity spontaneously reproduces the tonotopic organization (6). Such coactivations can also be observed with functional MRI (fMRI). In visual cortex, regions selective for either foveal or peripheral stimuli, show correlated blood-oxygen level-d...

show abstract

“…Important higher order cognitive functions such as memory consolidation and selfreferential processes also involve RSNs (Albert et al, 2009;Van Den Heuvel and Pol, 2010;Wicker et al, 2003), which allow individuals to review past experiences and plan future actions. RSNs similar or homologous to those of humans have been identified in monkeys (Belcher et al, 2013; and rodents (Lu et al, 2012;Sforazzini et al, 2014;Zhao et al, 2008). These findings suggest RSNs is a primitive feature of the mammalian brain .…”

Section: Introductionmentioning

confidence: 60%