Auditory Corticothalamic Neurons Are Recruited by Motor Preparatory Inputs

Clayton, Kameron K.; Williamson, R. S.; Hancock, Kenneth E.; Tasaka, Gen‐ichi; Mizrahi, Adi; Hackett, Troy A.; Polley, Daniel B.

doi:10.1016/j.cub.2020.10.027

Cited by 62 publications

(65 citation statements)

References 70 publications

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“…On the other hand, it is clear that the inhibitory projection to the STN (and substantial pars reticulata) mediates the motor-promoting effects, and it is consistent with the established relationship between STN activity and movement suppression (Hamani et al, 2004; Aron and Poldrack, 2006; Aron et al, 2007; Eagle et al, 2008; Schmidt et al, 2013; Schweizer et al, 2014; Fife et al, 2017; Wessel and Aron, 2017). In addition to the established literature demonstrating that the GPe sends inhibitory signals to the input and output nuclei of the basal ganglia (Jessell et al, 1978; Mink, 1996; Smith et al, 1998; Kita, 2007; Hegeman et al, 2016; Adam et al, 2020), recent studies highlight the existence of cortico-pallido-cortical loops (Naito and Kita, 1994; Chen et al, 2015; Saunders et al, 2015; Schwarz et al, 2015; Ahrlund-Richter et al, 2019; Karube et al, 2019; Abecassis et al, 2020; Adkins et al, 2020; Anastasiades et al, 2020; Clayton et al, 2020; Gehrlach et al, 2020; Lee et al, 2020; Muñoz-Castañeda et al, 2020; Garcia et al, 2021). However, the precise circuitry has yet to be defined.…”

Section: Discussionmentioning

confidence: 99%

Dissociable Roles of Pallidal Neuron Subtypes in Regulating Motor Patterns

Cherian

Cui

Pamukcu

et al. 2020

Preprint

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We have previously established that PV+ neurons and Npas1+ neurons are distinct neuron classes in the GPe: they have different topographical, electrophysiological, circuit, and functional properties. Aside from Foxp2+ neurons, which are a unique subclass within the Npas1+ class, we lack driver lines that effectively capture other GPe neuron subclasses. In this study, we examined the utility of Kcng4-Cre, Npr3-Cre, and Npy2r-Cre mouse lines (both males and females) for the delineation of GPe neuron subtypes. By using these novel driver lines, we have provided the most exhaustive investigation of electrophysiological studies of GPe neuron subtypes to date. Corroborating our prior studies, GPe neurons can be divided into two statistically distinct clusters that map onto PV+ and Npas1+ classes. By combining optogenetics,, and machine learning-based tracking, we showed that optogenetic perturbation of GPe neuron subtypes generated unique behavioral structures. Our findings further highlighted the dissociable roles of GPe neurons in regulating movement and anxiety. We concluded that Npr3+ neurons and Kcng4+ neurons are distinct subclasses of Npas1+ neurons and PV+ neurons, respectively. Finally, by examining local collateral connectivity, we inferred the circuit mechanisms involved in the motor patterns observed with optogenetic perturbations. In summary, by identifying mouse lines that allow for manipulations of GPe neuron subtypes, we created new opportunities for interrogations of cellular and circuit substrates that can be important for motor function and dysfunction.

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Section: Discussionmentioning

confidence: 99%

Dissociable Roles of Pallidal Neuron Subtypes in Regulating Motor Patterns

Cherian

Cui

Pamukcu

et al. 2020

Preprint

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“…In addition to the established literature demonstrating that the GPe sends inhibitory signals to the input and output nuclei of the basal ganglia (Jessell et al, 1978;Mink, 1996;Smith et al, 1998;Kita, 2007;Hegeman et al, 2016;Adam et al, 2020), recent studies highlight the existence of cortico-pallido-cortical loops (Naito and Kita, 1994;Chen et al, 2015;Saunders et al, 2015;Schwarz et al, 2015;Ahrlund-Richter et al, 2019;Karube et al, 2019;Abecassis et al, 2020;Adkins et al, 2020;Anastasiades et al, 2020;Clayton et al, 2020;Gehrlach et al, 2020;Lee et al, 2020;Muñoz-Castañeda et al, 2020;Garcia et al, 2021). However, the precise circuitry has yet to be defined.…”

Section: Beyond Go and No-go?mentioning

confidence: 99%

Dissociable Roles of Pallidal Neuron Subtypes in Regulating Motor Patterns

et al. 2021

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Author contributions SC and BLB performed histological analysis. SC, QC, IYMC, HSX, YZ, HM, ZAA, and XD surveyed the intrinsic properties. QC, HMH, XD, YZ, and CJW examined the local connectivity. AP, QC, SR, and NJJ conducted the behavioral studies. IYMC developed the machine learning analysis pipeline. YC and SMB provided expertise for neuron classification. CSC wrote the manuscript with input from all co-authors. All authors reviewed and edited the manuscript. CSC designed, directed, and supervised the project.

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“…Thus, to avoid confounding stimulus-evoked and motion-related pupil dilation, stimuli that were presented within 7 s of a motion event were discarded from further analyses (see "Methods"). Note that while our piezo sensor-based motion detection picked up postural shifts and limb movements, we did not detect orofacial movements (whisking, licking, or chewing) that are also associated with PD changes 34 . Thus, it is possible that some stimulus-driven pupil responses also contain some of these motion-related PD changes.…”

Section: Resultsmentioning

confidence: 67%

Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models

Montes-Lourido

Kar

Kumbam

et al. 2021

Sci Rep

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Estimates of detection and discrimination thresholds are often used to explore broad perceptual similarities between human subjects and animal models. Pupillometry shows great promise as a non-invasive, easily-deployable method of comparing human and animal thresholds. Using pupillometry, previous studies in animal models have obtained threshold estimates to simple stimuli such as pure tones, but have not explored whether similar pupil responses can be evoked by complex stimuli, what other stimulus contingencies might affect stimulus-evoked pupil responses, and if pupil responses can be modulated by experience or short-term training. In this study, we used an auditory oddball paradigm to estimate detection and discrimination thresholds across a wide range of stimuli in guinea pigs. We demonstrate that pupillometry yields reliable detection and discrimination thresholds across a range of simple (tones) and complex (conspecific vocalizations) stimuli; that pupil responses can be robustly evoked using different stimulus contingencies (low-level acoustic changes, or higher level categorical changes); and that pupil responses are modulated by short-term training. These results lay the foundation for using pupillometry as a reliable method of estimating thresholds in large experimental cohorts, and unveil the full potential of using pupillometry to explore broad similarities between humans and animal models.

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Auditory Corticothalamic Neurons Are Recruited by Motor Preparatory Inputs

Cited by 62 publications

References 70 publications

Dissociable Roles of Pallidal Neuron Subtypes in Regulating Motor Patterns

Dissociable Roles of Pallidal Neuron Subtypes in Regulating Motor Patterns

Dissociable Roles of Pallidal Neuron Subtypes in Regulating Motor Patterns

Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models

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