Selective corticofugal modulation on sound processing in auditory thalamus of awake marmosets

Wang, Xiaohui; Zhang, Yuanqing; Zhu, Lin; Bai, Siyi; Li, Rui; Sun, Hao; Qi, Runze; Cai, Ruolan; Li, Min; Jia, Guoqiang; Cao, Xiufeng; Schriver, K. E.; Li, Xinjian; Gao, Lixia

doi:10.1093/cercor/bhac278

Cited by 5 publications

(3 citation statements)

References 83 publications

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“…Exploring the auditory brain in terms of listening loops conditioned for effective sensing and communication with the outside world is, in fact, how the research field is starting to align ( Bajo et al, 2010 ; Robinson et al, 2016 ; Weible et al, 2020 ; Yudintsev et al, 2021 ; Wang et al, 2022 ), powered by a combination of new technologies applied generally across sensory neuroscience (e.g. Zingg et al, 2017 ; Williamson and Polley, 2019 ), and a specific re-imagining of the structure and function of subcortical auditory structures ( Xiong et al, 2015 ; Bidelman et al, 2018 ; Lohse et al, 2021 ).…”

Section: Listening Loops and The Adapting Brainmentioning

confidence: 99%

Listening loops and the adapting auditory brain

McAlpine

Hoz

2023

Front. Neurosci.

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Analysing complex auditory scenes depends in part on learning the long-term statistical structure of sounds comprising those scenes. One way in which the listening brain achieves this is by analysing the statistical structure of acoustic environments over multiple time courses and separating background from foreground sounds. A critical component of this statistical learning in the auditory brain is the interplay between feedforward and feedback pathways—“listening loops”—connecting the inner ear to higher cortical regions and back. These loops are likely important in setting and adjusting the different cadences over which learned listening occurs through adaptive processes that tailor neural responses to sound environments that unfold over seconds, days, development, and the life-course. Here, we posit that exploring listening loops at different scales of investigation—from in vivo recording to human assessment—their role in detecting different timescales of regularity, and the consequences this has for background detection, will reveal the fundamental processes that transform hearing into the essential task of listening.

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Section: Listening Loops and The Adapting Brainmentioning

confidence: 99%

Listening loops and the adapting auditory brain

McAlpine

Hoz

2023

Front. Neurosci.

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“…The inferior colliculus (IC) is an evolutionarily conserved midbrain structure that plays a pivotal role in AM perception (Champoux et al, 2007), and the first major central auditory structure where neuronal responses to AM sounds change from a temporal-to a rate-based representation (Hewitt and Meddis, 1994;Lorenzi et al, 1995;Krishna and Semple, 2000;Nelson and Carney, 2007;Tan and Borst, 2007;Ter-Mikaelian et al, 2007;Dicke et al, 2007;Geis and Borst, 2009;Wang et al, 2022). Indeed, although neurons in sub-tectal brainstem nuclei phase-lock their firing rates to AM fluctuations, mean spike rates are often insensitive to the temporal characteristics of the sound envelope (Frisina et al, 1990;Rhode and Greenberg, 1994;Zhao and Liang, 1994).…”

Section: Introductionmentioning

confidence: 99%

Population coding of time-varying sounds in the non-lemniscal Inferior Colliculus

Shi,

Quass,

Rogalla

et al. 2023

Preprint

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The inferior colliculus (IC) of the midbrain is important for complex sound processing, such as discriminating conspecific vocalizations and human speech. The non-lemniscal, dorsal shell region of IC is likely important for this process, as neurons in these layers project to higher-order thalamic nuclei that subsequently funnel acoustic signals to the amygdala and non-primary auditory cortices; forebrain circuits important for vocalization coding in a variety of mammals, including humans. However, the extent to which shell IC neurons transmit acoustic features necessary to discern vocalizations is less clear, owing to the technical difficulty of recording from neurons in the IC superficial layers via traditional approaches. Here we use 2-photon Ca2+ imaging in mice of either sex to test how shell IC neuron populations encode the rate and depth of amplitude modulation, important sound cues for speech perception. Most shell IC neurons were broadly tuned, with a low neurometric discrimination of amplitude modulation rate; only a subset were highly selective to specific modulation rates. Nevertheless, neural network classifier trained on fluorescence data from shell IC neuron populations accurately classified amplitude modulation rate, and decoding accuracy was only marginally reduced when highly tuned neurons were omitted from training data. Rather, classifier accuracy increased monotonically with the modulation depth of the training data, such that classifiers trained on full-depth modulated sounds had median decoding errors of ~0.2 octaves. Thus, shell IC neurons may transmit time-varying signals via a population code, with perhaps limited reliance on the discriminative capacity of any individual neuron.

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“…Interestingly, although the corticothalamic system has been much less well-understood compared with the thalamocortical system, descending presynaptic terminals greatly outnumber their ascending counterparts at least in the visual and somatosensory thalamus 11,[16][17][18] , suggesting their important contribution to thalamic function. Indeed, it has been shown that the corticothalamic pathways can dynamically modulate thalamic activity 19,[20][21][22][23][24][25] , enabling active and adaptive sensory processing in the thalamus 20,[26][27][28] . However, despite the fact that both layer 5 (L5) and layer 6 (L6) neurons project to the thalamus, most of our knowledge about the organization and function of the corticothalamic descending pathways have actually been obtained from layer 6 projections in the lemniscal sensory systems 3,20,26,29,30 , which provide feedback inputs to the primary sensory thalamic nuclei.…”

Section: Introductionmentioning

confidence: 99%

A novel architecture of PT neuron-based corticothalamic connectivity in the auditory system

Xie,

Gao,

Wang

et al. 2023

Preprint

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Largely topographical projections from different modules of the thalamus, such as the primary, secondary and association sensory thalamus, to hierarchically defined cortical areas have been recognized across sensory systems. However, how corticothalamic projections, which are believed to be crucial for the remarkable flexibility and precision exhibited by our sensory systems, are organized remained poorly understood compared with the thalamocortical counterpart. Here we report that, first, the primary auditory thalamus received direct inputs from cortical L5 neurons. Second, in contrast to the robust thalamocortical topography, L5 neurons in each of the primary, secondary and association auditory cortical regions project to each individual module of the auditory thalamus at the macroscale. Third, the association cortex provided the most L5 inputs to all thalamic modules followed by the secondary and primary auditory cortices. Lastly, L5 axon terminals were mainly varicosity-type and evenly distributed across thalamic modules, but those in the polymodal association module were the largest. Our data suggest that all the modules of the auditory thalamus may be under the modulation of common L5 inputs. This fully-connected-like corticothalamic architecture urges a revision of the traditional hierarchical model in the sensory systems.

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Selective corticofugal modulation on sound processing in auditory thalamus of awake marmosets

Cited by 5 publications

References 83 publications

Listening loops and the adapting auditory brain

Listening loops and the adapting auditory brain

Population coding of time-varying sounds in the non-lemniscal Inferior Colliculus

A novel architecture of PT neuron-based corticothalamic connectivity in the auditory system

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