269 - Long-term persistence of bitemporal functional hyperconnectivity during stories listening task in 8- to 12-year-old children born extremely preterm
Saturday, April 23, 2022
3:30 PM – 6:00 PM US MT
Poster Number: 269 Publication Number: 269.225
Maria E. Barnes-Davis, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Stephanie L. Merhar, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Alonzo T. Folger, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Jennifer Vannest, University of Cincinnati, Cincinnati, OH, United States; Mekibib B. Altaye, CCHMC, CINCINNATI, OH, United States; Nehal Parikh, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Darren S. Kadis, Hospital for Sick Children, Toronto, ON, Canada
Associate Professor CINCINNATI CHILDREN'S HOSPITAL Cincinnati, Ohio, United States
Background: Birth before 28 weeks gestation (extreme prematurity, EPT) is associated with language deficits. The neural basis of language differences in children born EPT is unclear. Previously, we reported functional hyperconnectivity in EPT using fMRI-constrained magnetoencephalography (MEG). For EPT, hyperconnectivity was related to better language performance at 4-6 years.
Objective: To follow our cohort of children born EPT and term controls (TC) through 8-12 years of age and assess the degree to which functional hyperconnectivity persists and relates to language for EPT.
Design/Methods: 22 children (11 EPT, 11 TC) participated in passive stories listening during MEG (275-channel whole-head CTF system at 1200Hz) and fMRI (Philips Achieva 3.0T scanner). Multi-echo fMRI was obtained, isolating BOLD signal through independent component analysis. Modeled fMRI time-series were analyzed in SPM12. Contrast maps were generated (stories-noise) for each child and passed onto second-level analyses. No group differences were observed in fMRI, so we generated a joint activation map (Fig 1) and parcellated it into 200 random units. Centroids of parcels with >10% activation served as nodes for MEG analyses. Using linearly-constrained minimum-variance beamforming, we estimated activity at each node. Trial-wise frequency representations (2-70Hz) were obtained through Fourier analysis (+/- 4Hz smoothing). Weighted phase lag index was used to quantify coupling between nodes. We compared connectivity spectra between groups and tested for significant subnetworks using Network Based Statistics (NBS). Network strength was correlated with language scores.
Results: There were no significant group differences in age, sex, race, ethnicity, or income. There were differences (p < 0.05) in IQ (95 vs 113 for EPT and TC) and Clinical Evaluation of Language Fundamentals Core Language scores (91 vs 113 for EPT and TC). We observed a single cluster of significant differences in connectivity, with EPT exhibiting greater coupling at 18-23 Hz (100000 permutations, cluster p< 0.05, Fig 2). NBS identified an interhemispheric subnetwork wherein EPT have hyperconnectivity (Fig 3). Subnetwork strength was negatively related to language scores for EPT (r =-0.47, p >0.05; r =-0.64, p< 0.05 after removal of a single outlier using Cook’s method).Conclusion(s): In this preliminary report on a subset of our participants, functional hyperconnectivity persists in EPT from 4-6 to 8-12 years of age, but—contrary to findings at 4-6 years—correlates negatively with language. Ongoing work will determine the trajectory of this connectivity and underlying mechanisms. Figure 1: Joint activation map (EPT and TC groups) showing activation during stories listening (versus noise) in functional MRI. <img src=https://www.abstractscorecard.com/uploads/Tasks/upload/16020/FGOVBGGC-1177650-1-IMG.png width=440 hheight=235.024390243902 border=0 style=border-style: none;>Parcels with significant (>10%) activation in Panel A were used as virtual sensors or “nodes” in subsequent connectivity analyses of MEG data (Panel B).
Figure 2: Plot of functional connectivity (weighted phase lag index) from MEG data across the network determined in Figure 1.EPT (red line) exhibit significantly greater coupling at 18-23 Hz (permutation test, 100000 randomizations, p=0.028 for the observed cluster) versus TC (blue line).