Atypical Activation Networks in Prosody Processing for ASD By Activation Networks Mapping
Poster No:
452
Submission Type:
Abstract Submission
Authors:
pinyuan hu1, xinyu zhang2, Suyu Zhong1, Xiaochen Sun2
Institutions:
1Beijing university of posts and telecommunications, Beijing, Beijing, 2Beijing Language and Culture University, Beijing, China
First Author:
Co-Author(s):
Introduction:
Autism Spectrum Disorders (ASD) exhibit atypical perception and expression of prosody compared to healthy individuals. These distinctions may imply atypical functional connectivity patterns during prosody processing. However, existing literature reports a significant heterogeneity in activation patterns, with limited exploration of the distant network effects on the brain during prosody processing. Here, we integrated heterogeneous research on prosody with activation network mapping (ANM) [1] to explore the atypical functional connectivity patterns of ASD based on the Autism Brain Imaging Data Exchange (ABIDE) dataset[2]. These findings might provide new insights about the ASD neural mechanism.
Methods:
300 ASD and 433 healthy control (HC) were included (16 sites). Studies published from 1 November 1992 to 14 June 2018 were identified by a literature search of PubMed using the following combination of search terms: ('prosody' OR 'emotional prosody' OR 'affective prosody' OR 'linguistic prosody') AND ('fMRI' OR 'functional MRI' OR 'functional magnetic resonance imaging' OR 'PET' OR 'positron emission tomography' OR 'neuroimaging')[3]. Then, 4-mm-radius sphere centered on each activation coordinate were generated. For each study, a combined seed was generated by merging all the spheres reported in this study. Subsequently, for each subject in each ABIDE site, we computed Pearson's correlation coefficient between the average time course of all voxels within the combined seed and the time course of every voxel in the whole brain. The resulting subject-level correlation maps were then transformed into Fisher z maps and averaged after regressing out gender and age to create a site-level mean Fisher z map[4]. After regressing out site effects, we created the study-level mean Fisher z map by a weighted average of the site-level mean Fisher z maps. Then, study-level mean Fisher z maps that belong to the same group (ASD or HC, affective prosody or linguistic prosody) were compared against zero using a voxel-wised one-sample t-test. To quantify the group differences in prosody-related functional connectivity patterns, we conducted a voxel-wised two-sample t-test on the study-level mean Fisher z maps of the two groups.
Results:
Figure 1 showed the activation networks for affective prosody and linguistic prosody respectively. For the affective prosody, the typical activation network mainly located in superior temporal gyrus, cingulate gyrus and frontal regions for HC (Fig. 1A), while there are an expanded activation networks in ASD group, including the supramarginal gyrus, postcentral gyrus and superior temporal gyrus, parietal lobe and cerebellum (Fig. 1 B). As shown in the Figure 1 C, the differences between two group in affective prosody activation networks is in inferior frontal gyrus and precentral gyrus. Figure 1 D-F showed the results about linguistic prosody activity network. More specifically, the HC activation network of linguistic prosody mainly focus on bilateral temporal lobe and cerebellar regions (Fig. 1 D). The ASD activation network of linguistic prosody included regions such as cingulate gyrus, angular gyrus, sub-gyral, fusiform gyrus, temporal gyrus and negative correlations in occipital lobe and cerebellum (Fig.1 E). The two-sample t-tests indicated significantly differences in linguistic prosody activity networks including right angular, middle temporal gyrus and para hippocampal gyrus.
Conclusions:
Our study indicates that there are significant differences in activation network patterns between the ASD and HC groups during prosody processing. Specifically, the ASD group consistently exhibits higher positive correlations in the temporal lobe compared to the healthy group, while demonstrating consistently higher negative correlations in certain cerebellar regions. In summary, utilizing activation network mapping, we observed distinct functional network connectivity patterns, providing valuable insights into the neural mechanisms underlying ASD.
Disorders of the Nervous System:
Neurodevelopmental/ Early Life (eg. ADHD, autism) 1
Modeling and Analysis Methods:
Activation (eg. BOLD task-fMRI)
Connectivity (eg. functional, effective, structural)
fMRI Connectivity and Network Modeling 2
Novel Imaging Acquisition Methods:
BOLD fMRI
Keywords:
Autism
Other - prosody
1|2Indicates the priority used for review
Provide references using author date format
[2] Di Martino A, et al. (2017), 'Enhancing studies of the connectome in autism using the autism brain imaging data exchange II'. Scientific data, vol. 4, no. 1, pp. 1-15.
[3] Belyk M, et al. (2014), 'Perception of affective and linguistic prosody: an ALE meta-analysis of neuroimaging studies'. Social cognitive and affective neuroscience, vol. 9, no. 9, pp. 1395-1403.
[4] Dansereau C, et al. (2017), 'Statistical power and prediction accuracy in multisite resting-state fMRI connectivity'. Neuroimage, vol. 149, pp. 220-232.