Both stronger and weaker cerebro‐cerebellar functional connectivity patterns during processing of spoken sentences in autism spectrum disorder
Year: 2023
Type: article
Study design: Observational Study
Abstract: Cerebellar differences have long been documented in autism spectrum disorder (ASD), yet the extent to which such differences might impact language processing in ASD remains unknown. To investigate this, we recorded brain activity with magnetoencephalography (MEG) while ASD and age-matched typically developing (TD) children passively processed spoken meaningful English and meaningless Jabberwocky sentences. Using a novel source localization approach that allows higher resolution MEG source localization of cerebellar activity, we found that, unlike TD children, ASD children showed no difference between evoked responses to meaningful versus meaningless sentences in right cerebellar lobule VI. ASD children also had atypically weak functional connectivity in the meaningful versus meaningless speech condition between right cerebellar lobule VI and several left-hemisphere sensorimotor and language regions in later time windows. In contrast, ASD children had atypically strong functional connectivity for in the meaningful versus meaningless speech condition between right cerebellar lobule VI and primary auditory cortical areas in an earlier time window. The atypical functional connectivity patterns in ASD correlated with ASD severity and the ability to inhibit involuntary attention. These findings align with a model where cerebro-cerebellar speech processing mechanisms in ASD are impacted by aberrant stimulus-driven attention, which could result from atypical temporal information and predictions of auditory sensory events by right cerebellar lobule VI.
Source: Human Brain Mapping
DOI: 10.1002/hbm.26478
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,850
Funders: Brain and Behavior Research Foundation, Simons Foundation, Hearing Health Foundation, Nancy Lurie Marks Family Foundation, National Alliance for Research on Schizophrenia and Depression, Simons Foundation Autism Research Initiative, National Institute of Mental Health, National Institute on Deafness and Other Communication Disorders, National Institute of Allergy and Infectious Diseases, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G151532542, Exploitation of host glycolysis by Legionella, Translating MEG-based biomarkers to EEG-based outcome measures for Autism Spectrum Disorders, Testing the Bottom-Up vs Top-Down Imbalance Hypothesis of ASD, G336617548, Individualized assays of supra-threshold hearing deficits, G4927880819, G5030771172, G5489134934, G590890658, Functional connectivity substrates of social and non-social deficits in ASD, A Laser Microbeam Biotechnology Resource, G811239887, Center for Mesoscale Mapping, Scalable and Sensor-Agnostic Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
OpenAlex ID: W4386568858
