| Literature DB >> 29780307 |
Claudio A Villalobos1, Qiong Wu1, Psyche H Lee1, Paul J May2, Michele A Basso1.
Abstract
The mammalian superior colliculus (SC) is a sensorimotor midbrain structure responsible for orienting behaviors. Although many SC features are known, details of its intrinsic microcircuits are lacking. We used transgenic mice expressing reporter genes in parvalbumin-positive (PV+) and gamma aminobutyric acid-positive (GABA+) neurons to test the hypothesis that PV+ neurons co-localize GABA and form inhibitory circuits within the SC. We found more PV+ neurons in the superficial compared to the intermediate SC, although a larger percentage of PV+ neurons co-expressed GABA in the latter. Unlike PV+ neurons, PV+/GABA+ neurons showed predominantly rapidly inactivating spiking patterns. Optogenetic activation of PV+ neurons revealed direct and feedforward GABAergic inhibitory synaptic responses, as well as excitatory glutamatergic synapses. We propose that PV+ neurons in the SC may be specialized for a variety of circuit functions within the SC rather than forming a homogeneous, GABAergic neuronal subtype as they appear to in other regions of the brain.Entities:
Keywords: GABAergic neurons; attention; mouse; optogenetics; orienting movements; parvalbumin; superior colliculus (SC)
Mesh:
Substances:
Year: 2018 PMID: 29780307 PMCID: PMC5946669 DOI: 10.3389/fncir.2018.00035
Source DB: PubMed Journal: Front Neural Circuits ISSN: 1662-5110 Impact factor: 3.492
Electrophysiological parameters from PV+ neurons in the SC.
| Vm | Rt | Cm | sAHP | Ih | ||
|---|---|---|---|---|---|---|
| Reg | 60.64 ± 1.12 | 293.79 ± 41.24 | 53.62 ± 8.17 | -1.30 ± 1.54 | 4.46 ± 0.74* | |
| Rap | 60.76 ± 2.13 | 415.56 ± 56.8 | 37.81 ± 3.83 | 0.22 ± 0.66 | 3.43 ± 1.04* | |
| Fast | 58.39 ± 1.36 | 338.17 ± 59.09 | 37.84 ± 5.9 | 1.86 ± 1.53 | 7.08 ± 1.33* | |
| Reg | 61.27 ± 2.11 | 412.88 ± 39.21 | 44.34 ± 6.69 | 2.50 ± 1.28 | 5.22 ± 1.88* | |
| Rap | 55.98 ± 3.17 | 432.94 ± 136.52 | 54.86 ± 9 | -1.57 ± 0.79 | 0.97 ± 0.93* | |
| Fast | 57.76 ± 1.84 | 410.33 ± 56.1 | 45.46 ± 6.43 | 2.76 ± 0.91 | 3.68 ± 0.87* | |
| Reg | 73.98 ± 0.22 | 109.25 ± 1.45* | 57.12 ± 4.85 | 1.50 ± 0 | 0.9 ± 0.7 | |
| Rap | 65.1 ± 7.95 | 121.85 ± 41.95* | 84.82 ± 0 | 0.30 ± 0.10 | 1.25 ± 1.05 | |
| Fast | 69.21 ± 0.71 | 135.01 ± 9.26* | 60.42 ± 4.04 | 1.21 ± 0.58 | 0.74 ± 0.17 |
I/F parameters.
| Linear regression | Mean values | ||||
|---|---|---|---|---|---|
| Slope | Intercept | Slope | |||
| Fast | 0.33 | 11.8 | 0.94 | 0.69∗ | 0.94 |
| Reg | 0.15 | 11.13 | 0.9 | 0.34∗ | 0.96 |
| Rap | 0.056 | 14.91 | 0.47 | 0.08∗ | 0.58∗ |
I/F parameters.
| Linear regression | Mean values | |||||
|---|---|---|---|---|---|---|
| Slope | Intercept | Slope | ||||
| sSC | Fast | 0.59 | 0.15 | 0.99 | 0.65* | 0.93 |
| Reg | 0.19 | 3.92 | 0.90 | 0.32* | 0.92 | |
| Rap | 0.036 | 24.5 | 0.26 | 0.13* | 0.67* | |
| iSC | Fast | 0.36 | 21.7 | 0.97 | 0.65* | 0.97 |
| Reg | 0.27 | 0.72 | 0.98 | 0.36* | 0.97 | |
| Rap | 0.049 | 7.15 | 0.20 | 0.08* | 0.62* | |
| Cx | Fast | 0.34 | -11.14 | 0.91 | 0.71* | 0.93 |
| Reg | 0.25 | -32.75 | 0.90 | 0.44* | 0.95 | |
| Rap | 0.15 | -46.41 | 0.70 | 0.11* | 0.74* | |