An examination of somatosensory area SIII in ferret cortex

Foxworthy, W. Alex; Meredith, M. Alex

doi:10.3109/08990220.2010.548465

Cited by 18 publications

(26 citation statements)

References 29 publications

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“…This area of PFC in ferrets has been shown to have reciprocal connections with the mediodorsal nucleus of the thalamus (Duque and McCormick, 2010), and appears to be responsible for behaviorally-relevant selection of sensory stimuli (Fritz et al, 2010, Zhou et al, 2016). Our recording and tracer injection locations agreed with localization of PPC as previously defined in the ferret (Manger et al, 2002, Foxworthy and Meredith, 2011, Foxworthy et al, 2013). …”

Section: Discussionsupporting

confidence: 87%

Oscillatory Dynamics in the Frontoparietal Attention Network during Sustained Attention in the Ferret

Sellers

Zhou

et al. 2016

Cell Reports

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Summary Sustained attention requires the coordination of neural activity across multiple cortical areas in the frontoparietal network, in particular prefrontal cortex (PFC) and posterior parietal cortex (PPC). Previous work has demonstrated that activity in these brain regions is coordinated by neuronal oscillations of the local field potential (LFP). However, the underlying coordination of activity in terms of organization of single unit (SU) spiking activity have remained poorly understood, particularly in a freely-moving task with unconstrained network dynamics. We found that long-range functional connectivity between anatomically connected PFC and PPC was mediated by oscillations in the theta frequency band. SU activity in PFC was phase-locked to theta oscillations in PPC; spiking activity in PFC and PPC was locked to local high-gamma activity. Together, our results support a model in which frequency-specific synchronization mediates functional connectivity between and within PFC and PPC of the frontoparietal attention network in the freely moving animal.

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Section: Discussionsupporting

confidence: 87%

Oscillatory Dynamics in the Frontoparietal Attention Network during Sustained Attention in the Ferret

Sellers

Zhou

et al. 2016

Cell Reports

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“…To localize the ferret’s somatosensory cortex we used the following references for S1: Leclerc et al (1993); Rice et al (1993); McLaughlin et al (1998); MRSS, LRSS: Keniston et al (2009); S2,S3: Foxworthy and Meredith (2011); Meredith and Allman (2015); for posterior parietal cortex (PPr and PPc): Manger et al (2002); Foxworthy and Meredith (2011); Foxworthy et al (2013b); for visual cortex area 17: Rockland (1985); Henderson (1987); Law et al (1988); Innocenti et al (2002) (also for areas 18, 19 and 21); area 20 (20a, 20b): Manger et al (2004); SSy and other areas: Cantone et al (2005). The region of SSy has been renamed by several authors, for example see Homman-Ludiye et al (2010).…”

Section: Resultsmentioning

confidence: 99%

“…This may be explained by the limited coverage of V1 in our scans (due to constrained field of view parameters), or that the ferret visual system is integrated in its functional connectivity. The fractionation of sensory areas may arise from a structural basis: for example, S1, S2, and S3 of rats, ferrets, monkeys receive inputs from distinct regions of thalamus (Friedman and Murray, 1986; Spreafico et al, 1987; Foxworthy and Meredith, 2011). Thalamic subdivisions encode and relay unique information (Marlinski and McCrea, 2008), and may synchronize with cortical subregions in different communication channels (ie.…”

Section: Discussionmentioning

confidence: 99%

Resting state network topology of the ferret brain

et al. 2016

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Resting state functional magnetic resonance imaging (rsfMRI) has emerged as a versatile tool for non-invasive measurement of functional connectivity patterns in the brain. RsfMRI brain dynamics in rodents, non-human primates, and humans share similar properties; however, little is known about the resting state functional connectivity patterns in the ferret, an animal model with high potential for developmental and cognitive translational study. To address this knowledge-gap, we performed rsfMRI on anesthetized ferrets using a 9.4 tesla MRI scanner, and subsequently performed group-level independent component analysis (gICA) to identify functionally connected brain networks. Group-level ICA analysis revealed distributed sensory, motor, and higher-order networks in the ferret brain. Subsequent connectivity analysis showed interconnected higher-order networks that constituted a putative default mode network (DMN), a network that exhibits altered connectivity in neuropsychiatric disorders. Finally, we assessed ferret brain topological efficiency using graph theory analysis and found that the ferret brain exhibits small-world properties. Overall, these results provide additional evidence for pan-species resting-state networks, further supporting ferret-based studies of sensory and cognitive function.

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“…To evaluate the laminar basis of cortical multisensory processing, the rostral posterior parietal cortex (PPr) of the ferret was selected as the experimental model. The PPr is bordered, anteriorly, by the third somatosensory area (SIII; Foxworthy and Meredith,2011) and, posteriorly, by the caudal posterior parietal visual area (PPc; Manger et al,2002). Located between these two different sensory representations, the PPr contains neurons that respond to either (unisensory; Foxworthy et al,2011; Manger et al,2002) or independently to both (bimodal; Foxworthy et al,2012) somatosensory and visual stimulation, whose receptive fields are of sufficient size that a standardized set of stimuli can activate a large proportion of the constituent neurons.…”

mentioning

confidence: 99%

Laminar and connectional organization of a multisensory cortex

Foxworthy

Clemo

Meredith

2013

J of Comparative Neurology

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The transformation of sensory signals as they pass through cortical circuits has been revealed almost exclusively through studies of the primary sensory cortices, where principles of laminar organization, local connectivity and parallel processing have been elucidated. In contrast, almost nothing is known about the circuitry or laminar features of multisensory processing in higher-order, multisensory cortex. Therefore, using the ferret higher-order multisensory rostral posterior parietal (PPr) cortex, the present investigation employed a combination of multichannel recording and neuroanatomical techniques to elucidate the laminar basis of multisensory cortical processing. The proportion of multisensory neurons, the share of neurons showing multisensory integration, and the magnitude of multisensory integration were all found to differ by layer in a way that matched the functional or connectional characteristics of the PPr. Specifically, the supragranular layers (L2–3) demonstrated among the highest proportions of multisensory neurons and the highest incidence of multisensory response enhancement, while also receiving the highest levels of extrinsic inputs, exhibiting the highest dendritic spine densities, and providing a major source of local connectivity. In contrast, layer 6 showed the highest proportion of unisensory neurons while receiving the fewest external and local projections and exhibiting the lowest dendritic spine densities. Coupled with a lack of input from principal thalamic nuclei and a minimal layer 4, these observations indicate that this higher-level multisensory cortex shows unique functional and organizational modifications from the well-known patterns identified for primary sensory cortical regions.

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An examination of somatosensory area SIII in ferret cortex

Cited by 18 publications

References 29 publications

Oscillatory Dynamics in the Frontoparietal Attention Network during Sustained Attention in the Ferret

Oscillatory Dynamics in the Frontoparietal Attention Network during Sustained Attention in the Ferret

Resting state network topology of the ferret brain

Laminar and connectional organization of a multisensory cortex

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