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. 2023 Oct;53(10):4076-4089.
doi: 10.1007/s10803-022-05696-8. Epub 2022 Aug 12.

Differential Maturation of Auditory Cortex Activity in Young Children with Autism and Typical Development

Heather L Green  1 , Guannan Shen  2 , Rose E Franzen  2 , Marybeth Mcnamee  2 , Jeffrey I Berman  2   3 , Theresa G Mowad  2   3 , Matthew Ku  2 , Luke Bloy  2 , Song Liu  2 , Yu-Han Chen  2 , Megan Airey  2 , Emma McBride  2 , Sophia Goldin  2 , Marissa A Dipiero  2 , Lisa Blaskey  2   3   4 , Emily S Kuschner  2   4   5 , Mina Kim  2 , Kimberly Konka  2 , Timothy P L Roberts  2   3 , J Christopher Edgar  2   3
Affiliations

Differential Maturation of Auditory Cortex Activity in Young Children with Autism and Typical Development

Heather L Green et al. J Autism Dev Disord. 2023 Oct.

Abstract

Maturation of auditory cortex neural encoding processes was assessed in children with typical development (TD) and autism. Children 6-9 years old were enrolled at Time 1 (T1), with follow-up data obtained ~ 18 months later at Time 2 (T2), and ~ 36 months later at Time 3 (T3). Findings suggested an initial period of rapid auditory cortex maturation in autism, earlier than TD (prior to and surrounding the T1 exam), followed by a period of faster maturation in TD than autism (T1-T3). As a result of group maturation differences, post-stimulus group differences were observed at T1 but not T3. In contrast, stronger pre-stimulus activity in autism than TD was found at all time points, indicating this brain measure is stable across time.

Keywords: Auditory; Autism spectrum disorder; M100; M50; Magnetoencephalography; Maturation.

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Conflict of interest statement

Dr. Berman reports a consultancy with McGowan Associates. Dr. Roberts declares his position on the advisory boards of (1) CTF MEG, (2) Ricoh, (3) Spago Nano Medicine, (4) Avexis Inc., (5) Acadia Pharmaceuticals and equity interests in (1) Prism Clinical Imaging and (2) Proteus Neurodynamics. Dr. Roberts and Dr. Edgar also declare intellectual property relating to the potential use of electrophysiological markers for treatment planning in clinical ASD. Dr. Blaskey reports a consultancy with KBT Technologies. No other authors have anything to disclose.

Figures

Fig. 1
Fig. 1
Left panel: PL family-wise corrected statistical maps for the left and right hemisphere. ROIs are outlined with a black box. Right panel: PL mean and ± 2 standard error bars for each time and group (TD = blue, autism = red) and hemisphere (10 to 20 Hz activity averaged from 75 to 250 ms) with PL = 1 reflecting no phase variability and PL = 0 reflecting maximal phase variability across trials. Note: * p < 0.05, ** p < 0.01
Fig. 2
Fig. 2
Left panel: PL mean and ± 2 standard error bars for each group and time and hemisphere. ROIs are outlined with a black box. Right panel: Pre-stimulus activity mean and ± 2 standard error bars for each group and time and hemisphere. Note: * p < 0.05, ** p < 0.01
Fig. 3
Fig. 3
Left panel: Pre-stimulus activity family-wise corrected statistical maps for the left and right hemisphere. ROIs are outlined with a black box. Right panel: Pre-stimulus activity mean and ± 2 standard error bars for each time and group (TD = blue, autism = red) and hemisphere (30 to 50 Hz activity averaged from -500 to -25 ms). Note: * p < 0.05, ** p < 0.01
See this image and copyright information in PMC

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