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Wetekam, J.

Publications and source records attributed to Wetekam, J..

6 recordsLinked to original sources

Synergistic yet dissociable roles of temporal and spectral predictions in auditory detection

Predictive processing enables the brain to anticipate both when and what sensory events will occur. Although temporal and spectral predictions are both known to facilitate perception, their functional contributions and interaction remain poorly understood, particularly in uncertain listening conditions where predictions must be inferred from implicit statistical regularities rather than explicit cues or rhythms. Here, we orthogonalized temporal and spectral predictability in a non-rhythmic auditory detection task and used a signal-detection framework to dissociate perceptual and decisional processes in humans of either sex. Temporal predictions primarily increased response readiness: predictable target timing led to faster responses and more hits but also more false alarms, reflecting a liberal shift in response bias. Spectral predictions, in contrast, selectively enhanced perceptual sensitivity without a comparable speeding of responses. Crucially, despite their distinct behavioral effects, temporal and spectral predictions interacted synergistically, such that perceptual sensitivity was greatest when both sound timing and frequency were predictable, consistent with a spectrotemporal filter mechanism. Furthermore, temporal and spectral variability were encoded differently: performance adapted strongly to the distribution of foreperiod durations but remained largely stable across the spectral distribution, suggesting that the brain exploits temporal and spectral statistics in distinct ways when forming predictions under uncertainty. Together, these findings demonstrate that temporal and spectral predictions make complementary contributions to auditory decision-making, interact synergistically to improve perceptual sensitivity, and rely on distinct encoding strategies for temporal and spectral variability.

neuroscience↗

Responses to oddball communication sequences in the bat frontal and auditory cortices

Stimulus-specific adaptation (SSA) is a ubiquitous phenomenon in the animal kingdom across sensory modalities, but this type of neural response has rarely been studied using natural sounds in the auditory brain. Here, we leveraged the well-documented acoustic repertoire of the bat species Carollia perspicillata to study adaptation in the bat brain using natural communication sounds. We searched for SSA in single neuron spiking activity measured in two brain areas simultaneously: the auditory cortex and the frontal auditory field. The stimuli consisted of natural distress syllables, a form of vocalization produced by bats under duress. Bat distress vocalizations signal different degrees of urgency based on their amplitude modulation pattern, without large differences in their spectral structure. These distress vocalizations make an ideal test case for exploring the limits of neural deviance detection when considering naturalistic soundscapes with low stimulus contrast. The results show limited evidence for stimulus-specific adaptation in response to natural sound sequences in the majority of neurons studied. Many neurons did show a prominent effect related to context-dependent changes, caused by the type of sounds that occurred most frequently within each oddball sequence. Context-dependent responses were strongest in frontal neurons. Decoding analysis showed the existence of neural populations in both frontal and auditory cortices, which could distinguish between deviants and standards occurring within the same sequence, without large changes in evoked spike counts. Taken together, our results highlight the diversity of neural mechanisms complementing classical stimulus-specific adaptation when encoding natural vocalizations that do not differ markedly in their spectral composition.

neuroscience↗

Stimulus-specific processing of auditory deviants and repetitive stimulus sequences in the human brainstem

Auditory deviance detection, the neural process by which unexpected stimuli are identified within repetitive acoustic environments, is crucial for survival. While this phenomenon has been extensively studied in the cortex, recent evidence indicates that it also occurs in subcortical regions, including the inferior colliculus (IC). However, compared to animal studies, research on subcortical deviance detection in humans is often constrained by methodological limitations, leaving several important questions unanswered. This study aims to overcome some of these limitations by employing auditory brainstem responses (ABRs) to investigate the earliest neural correlates of deviance detection in humans, with a focus on the IC. We presented healthy participants of either sex with low- and high-frequency chirps in an oddball paradigm and observed significant deviance detection effects in the ABR, specifically when low-frequency chirps were used as deviants within a context of high-frequency standards. These effects manifested as larger and faster ABRs to deviant stimuli, with the strongest responses occurring at higher stimulation rates. Our findings suggest that the human IC exhibits rapid, stimulus-specific deviance detection with differential modulation of response amplitude and latency. The data indicate that the temporal dynamics of novelty detection in humans align well with the data reported in animals, helping to bridge the gap between animal and human research. By uncovering previously unknown characteristics of subcortical deviance detection in humans, this study highlights the value of ABR recordings with excellent temporal resolution in investigating subcortical deviance detection processes. Significance statementAuditory deviance detection enables the brain to identify unexpected stimuli in a repetitive environment, but its subcortical mechanisms in humans remain comparatively underexplored. Using auditory brainstem responses (ABRs), our study reveals two key findings about deviance detection in the human inferior colliculus (IC). First, we show subcortical deviance detection at latencies under 10 ms, bridging a longstanding gap between human and animal research. Second, deviance detection in the IC is rapid, emerging within three or fewer standard repetitions, with differential modulation of ABR amplitude and latency. These findings improve our understanding of the temporal dynamics of auditory processing in the human IC and highlight the value of ABR recordings in studying subcortical deviance detection mechanisms.

neuroscience↗

Deviance detection in subthalamic neural population responses to natural stimuli in bats

Deviance detection describes an increase of neural response strength caused by a stimulus with a low probability of occurrence. This ubiquitous phenomenon has been reported for multiple species, from subthalamic areas to auditory cortex. While cortical deviance detection has been well characterised by a range of studies covering neural activity at population level (mismatch negativity, MMN) as well as at cellular level (stimulus-specific adaptation, SSA), subcortical deviance detection has been studied mainly on cellular level in the form of SSA. Here, we aim to bridge this gap by using noninvasively recorded auditory brainstem responses (ABRs) to investigate deviance detection at population level in the lower stations of the auditory system of a hearing specialist: the bat Carollia perspicillata. Our present approach uses behaviourally relevant vocalisation stimuli that are closer to the animals natural soundscape than artificial stimuli used in previous studies that focussed on subcortical areas. We show that deviance detection in ABRs is significantly stronger for echolocation pulses than for social communication calls or artificial sounds, indicating that subthalamic deviance detection depends on the behavioural meaning of a stimulus. Additionally, complex physical sound features like frequency- and amplitude-modulation affected the strength of deviance detection in the ABR. In summary, our results suggest that at population level, the bat brain can detect different types of deviants already in the brainstem. This shows that subthalamic brain structures exhibit more advanced forms of deviance detection than previously known.

neuroscience↗

A neuron model with unbalanced synaptic weights explains asymmetric effects of ketamine in auditory cortex

Although new advances in neuroscience allow the study of vocal communication in awake animals, substantial progress in the processing of vocalizations has been made from brains of anaesthetized preparations. Thus, understanding how anaesthetics affect neuronal responses is of paramount importance. Here, we used electrophysiological recordings and computational modelling to study how the auditory cortex of bats responds to vocalizations under anaesthesia and in wakefulness. We found that multifunctional neurons that process echolocation and communication sounds were affected by ketamine anaesthesia in a manner that could not be predicted by known anaesthetic effects. In wakefulness, acoustic contexts (preceding echolocation or communication sequences) led to stimulus-specific suppression of lagging sounds, accentuating neuronal responses to sound transitions. However, under anaesthesia, communication contexts (but not echolocation) led to a global suppression of responses to lagging sounds. Such asymmetric effect was dependent on the frequency composition of the contexts and not on their temporal patterns. We constructed a neuron model that could replicate the data obtained in vivo. In the model, anaesthesia modulates spiking activity in a channel-specific manner, decreasing responses of cortical inputs tuned to high-frequency sounds and increasing adaptation in the respective cortical synapses. Combined, our findings obtained in vivo and in silico reveal that ketamine anaesthesia does not reduce uniformly the neurons responsiveness to low and high frequency sounds. This effect depends on combined mechanisms that unbalance cortical inputs and ultimately affect how auditory cortex neurons respond to natural sounds in anaesthetized preparations.

neuroscience↗

Dynamic cortico-cortical information transfer regimes during vocalization

The mammalian frontal and auditory cortices are important for vocal behaviour. Here, using local field potential recordings, we demonstrate for the first time that the timing and spatial pattern of oscillations in the fronto-auditory cortical network of vocalizing bats (Carollia perspicillata) predict the purpose of vocalization: echolocation or communication. Transfer entropy analyses revealed predominantly top-down (frontal-to-auditory cortex) information flow during spontaneous activity and pre-vocal periods. The dynamics of information flow depended on the behavioural role of the vocalization and on the timing relative to vocal onset. Remarkably, we observed the emergence of predominantly bottom-up (auditory-to-frontal cortex) information transfer patterns specific echolocation production, leading to self-directed acoustic feedback. Electrical stimulation of frontal areas selectively enhanced responses to echolocation sounds in auditory cortex. These results reveal unique changes in information flow across sensory and frontal cortices, potentially driven by the purpose of the vocalization in a highly vocal mammalian model.

neuroscience↗