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Contributions to auditory system conduction velocity: insights with multi-modal neuroimaging and machine learning in children with ASD and XYY syndrome.

Authors :
Berman JI
Bloy L
Blaskey L
Jackel CR
Miller JS
Ross J
Edgar JC
Roberts TPL
Source :
Frontiers in psychiatry [Front Psychiatry] 2023 May 11; Vol. 14, pp. 1057221. Date of Electronic Publication: 2023 May 11 (Print Publication: 2023).
Publication Year :
2023

Abstract

Introduction: The M50 electrophysiological auditory evoked response time can be measured at the superior temporal gyrus with magnetoencephalography (MEG) and its latency is related to the conduction velocity of auditory input passing from ear to auditory cortex. In children with autism spectrum disorder (ASD) and certain genetic disorders such as XYY syndrome, the auditory M50 latency has been observed to be elongated (slowed).<br />Methods: The goal of this study is to use neuroimaging (diffusion MR and GABA MRS) measures to predict auditory conduction velocity in typically developing (TD) children and children with autism ASD and XYY syndrome.<br />Results: Non-linear TD support vector regression modeling methods accounted for considerably more M50 latency variance than linear models, likely due to the non-linear dependence on neuroimaging factors such as GABA MRS. While SVR models accounted for ~80% of the M50 latency variance in TD and the genetically homogenous XYY syndrome, a similar approach only accounted for ~20% of the M50 latency variance in ASD, implicating the insufficiency of diffusion MR, GABA MRS, and age factors alone. Biologically based stratification of ASD was performed by assessing the conformance of the ASD population to the TD SVR model and identifying a sub-population of children with unexpectedly long M50 latency.<br />Discussion: Multimodal integration of neuroimaging data can help build a mechanistic understanding of brain connectivity. The unexplained M50 latency variance in ASD motivates future hypothesis generation and testing of other contributing biological factors.<br />Competing Interests: TR discloses consulting/medical advisory board association with Prism Clinical Imaging, Spago Nanomedicine, Avexis Inc., Acadia Pharmaceuticals, Proteus Neurodynamics and Fieldline Inc. TR and JE also disclose intellectual property relating to use of MEG as a biomarker in ASD. JB discloses consulting activity with McGowan Associates. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2023 Berman, Bloy, Blaskey, Jackel, Miller, Ross, Edgar and Roberts.)

Details

Language :
English
ISSN :
1664-0640
Volume :
14
Database :
MEDLINE
Journal :
Frontiers in psychiatry
Publication Type :
Academic Journal
Accession number :
37252131
Full Text :
https://doi.org/10.3389/fpsyt.2023.1057221