Response Features of Parvalbumin-Expressing Interneurons Suggest Precise Roles for Subtypes of Inhibition in Visual Cortex

Runyan, Caroline A.; Schummers, James; Wart, Audra Van; Kuhlman, Sandra J.; Wilson, Nathan R.; Huang, Z. Josh; Sur, Mriganka

doi:10.1016/j.neuron.2010.08.006

Cited by 222 publications

(226 citation statements)

References 68 publications

Supporting

Mentioning

198

Contrasting

Order By: Relevance

“…3-6), showing a weak tuning for orientation and complex-like responses. These results are consistent with studies of the responses of fast-spiking cells (Niell and Stryker, 2008) and parvalbuminpositive neurons (Sohya et al, 2007;Kerlin et al, 2010;Liu et al, 2010;Ma et al, 2010;Zariwala et al, 2011) in mouse visual cortex but do not exclude the possibility that distinct subpopulations of GABAergic neurons may have more diverse properties (Ma et al, 2010;Runyan et al, 2010).…”

Section: Functional Diversity Of Local Visual Cortical Populationssupporting

confidence: 72%

See 1 more Smart Citation

Local Diversity and Fine-Scale Organization of Receptive Fields in Mouse Visual Cortex

Bonin

Histed²,

Yurgenson³

et al. 2011

J. Neurosci.

242

217

View full text Add to dashboard Cite

Many thousands of cortical neurons are activated by any single sensory stimulus, but the organization of these populations is poorly understood. For example, are neurons in mouse visual cortex-whose preferred orientations are arranged randomly-organized with respect to other response properties? Using high-speed in vivo two-photon calcium imaging, we characterized the receptive fields of up to 100 excitatory and inhibitory neurons in a 200 m imaged plane. Inhibitory neurons had nonlinearly summating, complex-like receptive fields and were weakly tuned for orientation. Excitatory neurons had linear, simple receptive fields that can be studied with noise stimuli and system identification methods. We developed a wavelet stimulus that evoked rich population responses and yielded the detailed spatial receptive fields of most excitatory neurons in a plane. Receptive fields and visual responses were locally highly diverse, with nearby neurons having largely dissimilar receptive fields and response time courses. Receptive-field diversity was consistent with a nearly random sampling of orientation, spatial phase, and retinotopic position. Retinotopic positions varied locally on average by approximately half the receptive-field size. Nonetheless, the retinotopic progression across the cortex could be demonstrated at the scale of 100 m, with a magnification of ϳ10 m/°. Receptive-field and response similarity were in register, decreasing by 50% over a distance of 200 m. Together, the results indicate considerable randomness in local populations of mouse visual cortical neurons, with retinotopy as the principal source of organization at the scale of hundreds of micrometers.

show abstract

Section: Functional Diversity Of Local Visual Cortical Populationssupporting

confidence: 72%

“…3A1), while responses of inhibitory neurons were nonselective or weakly selective (Fig. 3A2) (but see Ma et al, 2010;Runyan et al, 2010). We quantified response selectivity with a tuning index whose value ranges from 0, for not tuned, to 1, for highly tuned (see Materials and Methods).…”

Section: Spatial Summation In Excitatory and Inhibitory Neuronsmentioning

confidence: 99%

Local Diversity and Fine-Scale Organization of Receptive Fields in Mouse Visual Cortex

Bonin

Histed²,

Yurgenson³

et al. 2011

J. Neurosci.

242

217

View full text Add to dashboard Cite

show abstract

“…The response gain of neurons in the visual cortex is under the control of GABA(A) mediated inhibition (Liu et al, 2010;Katzner et al, 2011), associated to PV-containing interneurons (Atallah et al, 2012;Runyan et al, 2010). We have observed that the lack of PV does indeed significantly increase the firing rate of neurons of the visual cortex in the absence as well as in the presence of a visual stimulation.…”

Section: Discussionmentioning

confidence: 82%

Visual thalamocortical circuits in parvalbumin-deficient mice

Lintas¹,

Schwaller²,

Villa³

2013

Brain Research

View full text Add to dashboard Cite

show abstract

“…It is possible that pyramidal cell activity is somehow modified in the PVKO mice because of the major role played by PV-expressing cortical interneurons on the shaping of the pyramidal cell output in WT animal (Runyan et al 2010;Atallah et al 2012). However, only a stimulation paradigm associated to simultaneous recordings in the cortex and in RTN could provide some answers to that question.…”

Section: Functional Connectivity Of Rtn Neurons Is Unchanged In Pvko mentioning

confidence: 99%

The calcium-binding protein parvalbumin modulates the firing 1 properties of the reticular thalamic nucleus bursting neurons

Albèri

Lintas

Kretz

et al. 2013

Journal of Neurophysiology

View full text Add to dashboard Cite

Albéri L, Lintas A, Kretz R, Schwaller B, Villa AE. The calcium-binding protein parvalbumin modulates the firing 1 properties of the reticular thalamic nucleus bursting neurons. J Neurophysiol 109: 2827-2841, 2013. First published March 13, 2013 doi:10.1152/jn.00375.2012.-The reticular thalamic nucleus (RTN) of the mouse is characterized by an overwhelming majority of GABAergic neurons receiving afferences from both the thalamus and the cerebral cortex and sending projections mainly on thalamocortical neurons. The RTN neurons express high levels of the "slow Ca buffer" parvalbumin (PV) and are characterized by low-threshold Ca 2ϩ currents, I T . We performed extracellular recordings in ketamine/ xylazine anesthetized mice in the rostromedial portion of the RTN. In the RTN of wild-type and PV knockout (PVKO) mice we distinguished four types of neurons characterized on the basis of their firing pattern: irregular firing (type I), medium bursting (type II), long bursting (type III), and tonically firing (type IV). Compared with wild-type mice, we observed in the PVKOs the medium bursting (type II) more frequently than the long bursting type and longer interspike intervals within the burst without affecting the number of spikes. This suggests that PV may affect the firing properties of RTN neurons via a mechanism associated with the kinetics of burst discharges. Ca v 3.2 channels, which mediate the I T currents, were more localized to the somatic plasma membrane of RTN neurons in PVKO mice, whereas Ca v 3.3 expression was similar in both genotypes. The immunoelectron microscopy analysis showed that Ca v 3.2 channels were localized at active axosomatic synapses, thus suggesting that the differential localization of Ca v 3.2 in the PVKOs may affect bursting dynamics. Cross-correlation analysis of simultaneously recorded neurons from the same electrode tip showed that about one-third of the cell pairs tended to fire synchronously in both genotypes, independent of PV expression. In summary, PV deficiency does not affect the functional connectivity between RTN neurons but affects the distribution of Ca v 3.2 channels and the dynamics of burst discharges of RTN cells, which in turn regulate the activity in the thalamocortical circuit.

show abstract

Response Features of Parvalbumin-Expressing Interneurons Suggest Precise Roles for Subtypes of Inhibition in Visual Cortex

Cited by 222 publications

References 68 publications

Local Diversity and Fine-Scale Organization of Receptive Fields in Mouse Visual Cortex

Local Diversity and Fine-Scale Organization of Receptive Fields in Mouse Visual Cortex

Visual thalamocortical circuits in parvalbumin-deficient mice

The calcium-binding protein parvalbumin modulates the firing 1 properties of the reticular thalamic nucleus bursting neurons

Contact Info

Product

Resources

About