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Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach
Children born extremely preterm (EPT, <28 weeks gestation) are at risk for delays in development, including language. We use fMRI-constrained magnetoencephalography (MEG) during a verb generation task to assess the extent and functional connectivity (phase locking value, or PLV) of language netwo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654860/ https://www.ncbi.nlm.nih.gov/pubmed/33173877 http://dx.doi.org/10.1101/2020.10.30.20222448 |
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author | Barnes-Davis, Maria E. Merhar, Stephanie L. Holland, Scott K. Parikh, Nehal A. Kadis, Darren S. |
author_facet | Barnes-Davis, Maria E. Merhar, Stephanie L. Holland, Scott K. Parikh, Nehal A. Kadis, Darren S. |
author_sort | Barnes-Davis, Maria E. |
collection | PubMed |
description | Children born extremely preterm (EPT, <28 weeks gestation) are at risk for delays in development, including language. We use fMRI-constrained magnetoencephalography (MEG) during a verb generation task to assess the extent and functional connectivity (phase locking value, or PLV) of language networks in a large cohort of EPT children and their term comparisons (TC). 73 participants, aged 4 to 6 years, were enrolled (42 TC, 31 EPT). There were no significant group differences in age, sex, race, ethnicity, parental education, or family income. There were significant group differences in expressive language scores (p<0.05). Language representation was not significantly different between groups on fMRI, with task-specific activation involving bilateral temporal and left inferior frontal cortex. There were group differences in functional connectivity seen in MEG. To identify a possible subnetwork contributing to focal spectral differences in connectivity, we ran Network Based Statistics analyses. For both beta (20–25 Hz) and gamma (61–70 Hz) bands, we observed a subnetwork showing hyperconnectivity in the EPT group (p<0.05). Network strength was computed for the beta and gamma subnetworks and assessed for correlation with language performance. For the EPT group, exclusively, strength of the subnetwork identified in the gamma frequency band was positively correlated with expressive language scores (r=0.318, p<0.05). Thus, interhemispheric hyperconnectivity is positively related to language for EPT children and might represent a marker for resiliency in this population. |
format | Online Article Text |
id | pubmed-7654860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-76548602020-11-11 Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach Barnes-Davis, Maria E. Merhar, Stephanie L. Holland, Scott K. Parikh, Nehal A. Kadis, Darren S. medRxiv Article Children born extremely preterm (EPT, <28 weeks gestation) are at risk for delays in development, including language. We use fMRI-constrained magnetoencephalography (MEG) during a verb generation task to assess the extent and functional connectivity (phase locking value, or PLV) of language networks in a large cohort of EPT children and their term comparisons (TC). 73 participants, aged 4 to 6 years, were enrolled (42 TC, 31 EPT). There were no significant group differences in age, sex, race, ethnicity, parental education, or family income. There were significant group differences in expressive language scores (p<0.05). Language representation was not significantly different between groups on fMRI, with task-specific activation involving bilateral temporal and left inferior frontal cortex. There were group differences in functional connectivity seen in MEG. To identify a possible subnetwork contributing to focal spectral differences in connectivity, we ran Network Based Statistics analyses. For both beta (20–25 Hz) and gamma (61–70 Hz) bands, we observed a subnetwork showing hyperconnectivity in the EPT group (p<0.05). Network strength was computed for the beta and gamma subnetworks and assessed for correlation with language performance. For the EPT group, exclusively, strength of the subnetwork identified in the gamma frequency band was positively correlated with expressive language scores (r=0.318, p<0.05). Thus, interhemispheric hyperconnectivity is positively related to language for EPT children and might represent a marker for resiliency in this population. Cold Spring Harbor Laboratory 2020-11-04 /pmc/articles/PMC7654860/ /pubmed/33173877 http://dx.doi.org/10.1101/2020.10.30.20222448 Text en http://creativecommons.org/licenses/by-nd/4.0/It is made available under a CC-BY-ND 4.0 International license (http://creativecommons.org/licenses/by-nd/4.0/) . |
spellingShingle | Article Barnes-Davis, Maria E. Merhar, Stephanie L. Holland, Scott K. Parikh, Nehal A. Kadis, Darren S. Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach |
title | Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach |
title_full | Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach |
title_fullStr | Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach |
title_full_unstemmed | Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach |
title_short | Extremely Preterm Children Demonstrate Interhemispheric Hyperconnectivity During Verb Generation: a Multimodal Approach |
title_sort | extremely preterm children demonstrate interhemispheric hyperconnectivity during verb generation: a multimodal approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654860/ https://www.ncbi.nlm.nih.gov/pubmed/33173877 http://dx.doi.org/10.1101/2020.10.30.20222448 |
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