Using a linear dynamic system to measure functional connectivity from M/EEG.

Measures of functional connectivity (FC) can elucidate which cortical regions work together in order to complete a variety of behavioral tasks. This study's primary objective was to expand a previously published model of measuring FC to include multiple subjects and several regions of interest. While FC has been more extensively investigated in vision and other sensorimotor tasks, it is not as well understood in audition.

Comparing narrative storytelling ability in individuals with autism and fetal alcohol spectrum disorders.

Background: Narrative discourse, or storytelling, is used in daily conversation and requires higher-level language and social communication skills that are not always captured by standardised assessments of language. Many autistic individuals and individuals with fetal alcohol spectrum disorders (FASD) have difficulties with both social communication and language skills, and narrative discourse analysis offers an ecologically relevant approach to assessing those challenges.

Aims: This study investigated narrative discourse in individuals with autism and FASD, as well as an age- and sex-matched comparison group.

How moderation affects remote psychophysical tasks with children.

The increasing use of remote platforms for auditory research necessitates more in-depth evaluation of assessment protocols, especially when working with children. This work investigates the influence of the presence of a moderator on remote audiovisual speech perception studies, by assessing how moderation impacts children's understanding and performance of the psychophysical tasks as well as their attention on these tasks. In sum, moderated and unmoderated methods can reliably assess audiovisual speech perception benefits.

Functional localization of audiovisual speech using near infrared spectroscopy.

Visual cues are especially vital for hearing impaired individuals such as cochlear implant (CI) users to understand speech in noise. Functional Near Infrared Spectroscopy (fNIRS) is a light-based imaging technology that is ideally suited for measuring the brain activity of CI users due to its compatibility with both the ferromagnetic and electrical components of these implants. In a preliminary step toward better elucidating the behavioral and neural correlates of audiovisual (AV) speech integration in CI users, we designed a speech-in-noise task and measured the extent to which 24 normal hearing individuals could integrate the audio of spoken monosyllabic words with the corresponding visual signals of a female speaker.

Auditory Attention Deployment in Young Adults with Autism Spectrum Disorder.

Difficulty listening in noisy environments is a common complaint of individuals with autism spectrum disorder (ASD). However, the mechanisms underlying such auditory processing challenges are unknown. This preliminary study investigated auditory attention deployment in adults with ASD.

Effects of hearing loss on maintaining and switching attention.

The ability to intentionally control attention based on task goals and stimulus properties is critical to communication in many environments. However, when a person has a damaged auditory system, such as with hearing loss, perceptual organization may also be impaired, making it more difficult to direct attention to different auditory objects in the environment. Here we examined the behavioral cost associated with maintaining and switching attention in people with hearing loss compared to the normal hearing population, and found a cost associated with attending to a target stream in a multi-talker environment that cannot solely be attributed to audibility issues.

Incorporating modern neuroscience findings to improve brain-computer interfaces: tracking auditory attention.

Objective: Brain-computer interface (BCI) technology allows users to generate actions based solely on their brain signals. However, current non-invasive BCIs generally classify brain activity recorded from surface electroencephalography (EEG) electrodes, which can hinder the application of findings from modern neuroscience research.

Approach: In this study, we use source imaging-a neuroimaging technique that projects EEG signals onto the surface of the brain-in a BCI classification framework.