Auditory processing in rodent models of autism: a systematic review.
Maya WildeLena ConstantinPeter R ThorneJohanna M MontgomeryEthan K ScottJuliette E CheynePublished in: Journal of neurodevelopmental disorders (2022)
Autism is a complex condition with many traits, including differences in auditory sensitivity. Studies in human autism are plagued by the difficulty of controlling for aetiology, whereas studies in individual rodent models cannot represent the full spectrum of human autism. This systematic review compares results in auditory studies across a wide range of established rodent models of autism to mimic the wide range of aetiologies in the human population. A search was conducted in the PubMed and Web of Science databases to find primary research articles in mouse or rat models of autism which investigate central auditory processing. A total of 88 studies were included. These used non-invasive measures of auditory function, such as auditory brainstem response recordings, cortical event-related potentials, electroencephalography, and behavioural tests, which are translatable to human studies. They also included invasive measures, such as electrophysiology and histology, which shed insight on the origins of the phenotypes found in the non-invasive studies. The most consistent results across these studies were increased latency of the N1 peak of event-related potentials, decreased power and coherence of gamma activity in the auditory cortex, and increased auditory startle responses to high sound levels. Invasive studies indicated loss of subcortical inhibitory neurons, hyperactivity in the lateral superior olive and auditory thalamus, and reduced specificity of responses in the auditory cortex. This review compares the auditory phenotypes across rodent models and highlights those that mimic findings in human studies, providing a framework and avenues for future studies to inform understanding of the auditory system in autism.
Keyphrases
- working memory
- hearing loss
- endothelial cells
- case control
- autism spectrum disorder
- systematic review
- intellectual disability
- induced pluripotent stem cells
- public health
- genome wide
- spinal cord
- spinal cord injury
- oxidative stress
- multiple sclerosis
- machine learning
- deep learning
- meta analyses
- deep brain stimulation