Corticofugal modulation of peripheral auditory responses

Terreros, Gonzalo; Délano, Paul H.

doi:10.3389/fnsys.2015.00134

Cited by 120 publications

(124 citation statements)

References 99 publications

(122 reference statements)

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“…The acoustic overexposure stimulus was an octave band of noise (8)(9)(10)(11)(12)(13)(14)(15)(16) presented at 100 dB SPL for 2 hrs. During exposures, animals were awake and unrestrained within a 12 x 16 x 16 cm, acoustically transparent cage.…”

Section: Acoustic Overexposurementioning

confidence: 99%

“…The auditory system features a massive set of centrifugal efferent projections that innervate a wide range of peripheral and central targets. Efferent olivocochlear and middle ear reflex pathways have a well-established role in rapid gain adjustment to protect the inner ear from injury and normalize activity levels in the auditory nerve 1,16 . A separate set of efferent centrifugal projections originate in the auditory cortex (ACtx) and innervate nearly all levels of subcortical auditory processing, including the thalamus, inferior colliculus (IC), superior olivary complex, and cochlear nucleus [17][18][19] .…”

Section: Introductionmentioning

confidence: 99%

“…A separate set of efferent centrifugal projections originate in the auditory cortex (ACtx) and innervate nearly all levels of subcortical auditory processing, including the thalamus, inferior colliculus (IC), superior olivary complex, and cochlear nucleus [17][18][19] . Compared with the olivocochlear efferent pathway, less is known about how corticofugal neurons contribute either to rapid gain control or slower, homeostatic normalization of neuronal excitability after auditory deprivation 16,20 . Prior studies have described striking short-term changes in subcortical gain control and sensory tuning resulting from non-selective lesions, inactivation or stimulation of ACtx neurons, but subcortical effects are often heterogeneous, with neurons in the same brain region showing diverse forms of modulation [21][22][23][24][25] .…”

Section: Introductionmentioning

confidence: 99%

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Dynamic gain adjustments in descending corticofugal outputs from auditory cortex compensate for cochlear nerve synaptic damage

Asokan

Williamson

Hancock

et al. 2017

Preprint

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Layer 5 (L5) cortical projection neurons innervate far-ranging brain areas to coordinate integrative sensory processing and adaptive behaviors. Here, we characterize a compensatory plasticity in L5 auditory cortex (ACtx) projection neurons with axons that innervate the inferior colliculus (IC), thalamus, lateral amygdala and striatum. We used widefield calcium imaging to monitor daily changes in sound processing from the dense plexus of corticocollicular (CCol) axon terminals in awake adult mice. CCol sound level growth functions were stable in control conditions but showed bi-phasic gain changes following damage to cochlear afferent synapses. Auditory nerve and CCol growth functions were sharply reduced hours after cochlear synaptopathy, but CCol response gain rebounded above baseline levels by the following day and remained elevated for 2 weeks despite a persistent reduction in auditory nerve input. Sustained potentiation of excitatory ACtx projection neurons that innervate multiple limbic and subcortical auditory centers may underlie hyperexcitability and aberrant functional coupling of distributed brain networks in tinnitus.

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Section: Acoustic Overexposurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic gain adjustments in descending corticofugal outputs from auditory cortex compensate for cochlear nerve synaptic damage

Asokan

Williamson

Hancock

et al. 2017

Preprint

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“…Along the ascending auditory pathway these nuclei perform several fundamental computations relevant for sound processing (Romand & Ehret, 1997). However, an abundance of descending pathways exist in the auditory system involving brainstem and even cochlear structures, with a still weakly understood functional role (Terreros & Delano, 2015). With most of the findings stemming from animal research (for reviews, see Huffman & Henson, 1990;Suga & Ma, 2003;Terreros & Delano, 2015), the availability of tools to study neural activity along subcortical auditory regions in healthy human participants would be of outstanding value in broadening our understanding of their functional roles in normal and disordered hearing.…”

Section: Introductionmentioning

confidence: 99%

A backward encoding approach to recover subcortical auditory activity

Schmidt

Demarchi

Geyer

et al. 2019

Preprint

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Several subcortical nuclei along the auditory pathway are involved in the processing of sounds. One of the most commonly used methods of measuring the activity of these nuclei is the auditory brainstem response (ABR). Due to its low signal-to-noise ratio, ABR's have to be derived by averaging over thousands of artificial sounds such as clicks or tone bursts. This approach cannot be easily applied to natural listening situations (e.g. speech, music), which limits auditory cognitive neuroscientific studies to investigate mostly cortical processes.We propose that by training a backward encoding model to reconstruct evoked ABRs from high-density electrophysiological data, spatial filters can be tuned to auditory brainstem activity. Since these filters can be applied (i.e. generalized) to any other data set using the same spatial coverage, this could allow for the estimation of auditory brainstem activity from any continuous sensor level data. In this study, we established a proof-of-concept by using a backward encoding model generated using a click stimulation rate of 30 Hz to predict ABR activity recorded using EEG from an independent measurement using a stimulation rate of 9Hz. We show that individually predicted and measured ABR's are highly correlated (r ~ 0.7). Importantly these predictions are stable even when applying the trained backward encoding model to a low number of trials, mimicking a situation with an unfavorable signal-to-noise ratio. Overall, this work lays the necessary foundation to use this approach in more interesting listening situations.keywords: auditory brainstem response, magnetoencephalography, electroencephalography, backward modelling, signal reconstruction

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“…relevant sound frequencies across the lifespan 25,26 . Furthermore, the profound auditory cortical modulation of subcortical sound processing 25,27,28 suggests that auditory system plasticity interacts at multiple levels to serve high-order functions beyond simple feature coding of acoustic frequency.…”

mentioning

confidence: 99%

Precise Memory is Predicted by Learning-Induced Sensory System Neurophysiological Plasticity

Rotondo

Bieszczad

2019

Preprint

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Despite identical learning experiences, individuals differ in the memory formed of those experiences. Memory formed with sensory specificity determines its utility for selectively cueing subsequent behavior, even in novel situations. If an individual forms generalized memory, then there is potential for novel sensory cues to interfere with accurate behavioral performance. Here, a rodent model of auditory learning capitalized on individual differences in learning-induced auditory neuroplasticity to identify and characterize neural substrates for sound-specific (vs. general) memory of the training signal's acoustic frequency. Animals with naturally or pharmacologically induced signal-"specific" memory revealed behaviorally, exhibited longlasting signal-specific neurophysiological plasticity in auditory cortical and subcortical evoked responses, while learning-induced changes were not detected in animals with "general" memories. Individual differences validated this brain-behavior relationship, such that the degree of change in neurophysiological responses could be used to determine the precision of memory formation. Main Text:Individual differences are often intentionally minimized by experimental designs in behavioral neuroscience. Consequently, traditional approaches implicitly treat differences between subjects as "noise" to be overcome by large enough sample sizes to accurately describe and compare the underlying distributions of each group. This philosophical choice stymies an opportunity to use variability as a key to understand brain-behavior relationships. Even when group analyses reveal significant effects, they may not identify the full extent of brain-behavior relationships. Variability in learning, memory, and behavior derives from multiple factors 1-8 each with their own neural generators that have distinct effects on function 9-11 . Therefore, a powerful use of within-group variability is to explain magnitude-of-effect in individual behavioral performance by differences in learning-induced neural function. Indeed, a major goal in behavioral neuroscience is to understand brain-behavior relationships enough to gain the ability to manipulate function and drive behavior in a desired direction by promoting neuroplasticity [12][13][14] . However, to harness plasticity mechanisms in a useful way after the form of experience-induced plasticity between groups is identified, its function and magnitude of effect must be determined at the level of the individual.Previous work has identified distinct functions for different forms of auditory system plasticity related to the behavioral relevance of acoustic frequency 6,15-18 including at different time scales [19][20][21] . For example, in the auditory cortex, rapid changes in neural tuning properties correlate with selective attention to sound frequency during active tasks 21,22 , while long-term changes in tuning bandwidth may be related to frequency-specific memory over time 23,24 . Subcortical neurons in the lemniscal auditory nuclei also exhibit changes in tun...

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Corticofugal modulation of peripheral auditory responses

Cited by 120 publications

References 99 publications

Dynamic gain adjustments in descending corticofugal outputs from auditory cortex compensate for cochlear nerve synaptic damage

Dynamic gain adjustments in descending corticofugal outputs from auditory cortex compensate for cochlear nerve synaptic damage

A backward encoding approach to recover subcortical auditory activity

Precise Memory is Predicted by Learning-Induced Sensory System Neurophysiological Plasticity

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