Biology subjects

Scott, S. K.

Publications and source records attributed to Scott, S. K..

4 recordsLinked to original sources

bioRxiv2024

Prosocial reward relates to speech reception thresholds and age relates to subjective ratings of speech perception in noise

I.Motivation plays an important role in a listeners effort when in noisy environments. However, there remain gaps in the previous literature pertaining to the social psychological factors underlying motivation and listening effort. To fill these gaps, this study explored how prosociality and social reward relate to speech perception in noise (SPiN) in a group of normal hearing English speakers (n = 136; mean age: 29.6, age range: 18-68). We investigated SPiN performance and subjective listening experiences across different speech masking conditions: 1-speaker, 2-speaker, and speech-spectrum shaped noise (SSN), along with a working memory task, and questionnaires pertaining to social orientation. Results indicated a robust effect of different maskers, and that individuals who rated themselves higher in prosocial traits performed better in the masker that yielded the highest threshold out of the three conditions, the 2-speaker condition. Additionally, subjective ratings of listening effort particularly in the 1-speaker condition related to age, where older participants reported greater effort. These findings highlight prosociality and age as important social psychological factors influencing SPiN performance and listening effort, respectively, particularly in complex listening scenarios.

neuroscience↗

bioRxiv2022

Decoding brain basis of laughter and crying in natural scenes.

Laughter and crying are universal signals of prosociality and distress, respectively. Here we investigated the functional brain basis of perceiving laughter and crying using naturalistic functional magnetic resonance imaging (fMRI) approach. We measured haemodynamic brain activity evoked by laughter and crying in three experiments with 100 subjects in each. The subjects i) viewed a 20-minute medley of short video clips, and ii) 30 minutes of a full-length feature film, and iii) listened to 15 minutes of a radio play that all contained bursts of laughter and crying. Intensity of laughing and crying in the videos and radio play was annotated by independent observes, and the resulting time series were used to predict hemodynamic activity to laughter and crying episodes. Multivariate pattern analysis (MVPA) was used to test for regional selectivity in laughter and crying evoked activations. Laughter induced widespread activity in ventral visual cortex and superior and middle temporal and motor cortices. Crying activated thalamus, cingulate cortex along the anterior-posterior axis, insula and orbitofrontal cortex. Both laughter and crying could be decoded accurately (66-77% depending on the experiment) from the BOLD signal, and the voxels contributing most significantly to classification were in superior temporal cortex. These results suggest that perceiving laughter and crying engage distinct neural networks, whose activity suppresses each other to manage appropriate behavioral responses to others bonding and distress signals. Significance statementLaughter and crying are universal signals of prosociality and distress, respectively. They occur in complex, dynamic social settings with variable and dynamically evolving time courses. Here we used functional magnetic resonance imaging experiments and statistical pattern recognition for disentangling the neural systems that encode laughter and crying signals from dynamic and highly naturalistic scenes. These results show that separable neural circuits are engaged in processing distinct types of social attachment cues, and that pattern recognition during dynamic scene perception allows reliable separation of laughter and crying evoked activation patterns. Coordinated activity of these networks allows managing appropriate behavioral responses to others bonding and distress signals.

neuroscience↗

bioRxiv2020

Does over-reliance on auditory feedback cause disfluency? An fMRI study of induced fluency in people who stutter.

This study tested the idea that stuttering is caused by over-reliance on auditory feedback. The theory is motivated by the observation that many fluency-inducing situations, such as synchronised speech and masked speech, alter or obscure the talkers feedback. Typical speakers show speaking-induced suppression of neural activation in superior temporal gyrus (STG) during self-produced vocalisation, compared to listening to recorded speech. If people who stutter over-attend to auditory feedback, they may lack this suppression response. In a 1.5T fMRI scanner, people who stutter spoke in synchrony with an experimenter, in synchrony with a recording, on their own, in noise, listened to the experimenter speaking and read silently. Behavioural testing outside the scanner demonstrated that synchronising with another talker resulted in a marked increase in fluency regardless of baseline stuttering severity. In the scanner, participants stuttered most when they spoke alone, and least when they synchronised with a live talker. There was no reduction in STG activity in the Speak Alone condition, when participants stuttered most. There was also strong activity in STG in response to the two synchronised speech conditions, when participants stuttered least, suggesting that either stuttering does not result from over-reliance on feedback, or that the STG activation seen here does not reflect speech feedback monitoring. We discuss this result with reference to neural responses seen in the typical population.

neuroscience↗

bioRxiv2017

Distinct neural systems for the production of communicative vocal behaviors

Vocalizations are the production of sounds by the coordinated activity of up to eighty respiratory and laryngeal muscles. Whilst voiced acts, modified by the upper vocal tract (tongue, jaw, lip and palate) are central to the production of human speech, they are also central to the production of emotional vocalizations such as sounds of disgust, anger, laughter and crying. Evidence suggests that the speech and emotional vocalizations may comprise distinct classes of vocal movements: patients with speech production deficits are often able to produce emotional vocalizations. In addition to this, the ontogeny of the two articulations is largely distinct, with some culturally universal emotional vocalizations emerging soon after birth and human speech being a culture specific, highly learnt motor act, which must develop to some degree before a critical period in development. Here we investigate the motor pathways underlying these two classes of vocal movements for the first time by directly comparing BOLD responses during production of speech and non-speech vocal movements. Using functional magnetic resonance imaging, we report distinct patterns of activity in both subcortical and cortical regions (putamen and bilateral inferior frontal and parietal cortices) during the production of emotional vocalizations compared to speech production. In contrast we show that responses in primary sensorimotor regions do not differ during the production of speech and emotional vocalizations, suggesting partially overlapping, and partially non-overlapping neural structures for the motor control of these two classes of movement. In addition to this we report that responses in auditory cortices are distinct during the production of speech and non-speech vocalizations, suggesting that feedback control of speech and emotional vocalizations are distinct. These data provide novel evidence for the presence of dual pathways for the neural control of complex articulatory movements in humans. These findings are discussed in relation to the clinical and primate literature of vocal motor control.\n\nSignificance StatementThis work marks the first evidence in healthy humans for dual routes to vocal behaviors. Clinical evidence suggests that patients unable to produce speech may still be able to produce other vocal behaviors that employ the same set of effectors. Here we demonstrate that the production of different classes of vocal behavior is associated with overlapping and distinct networks of activity. Moreover, we show that auditory processing that occurs during the production of these movements may be distinct, suggesting that feedback may be used differently for these distinct classes of vocal movement.

neuroscience↗