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Birth weight is associated with adolescent brain development: A multimodal imaging study in monozygotic twins.

Authors :
Hayward, Dana A.
Pomares, Florence
Casey, Kevin F.
Ismaylova, Elmira
Levesque, Melissa
Greenlaw, Keelin
Vitaro, Frank
Brendgen, Mara
Rénard, Felix
Dionne, Ginette
Boivin, Michel
Tremblay, Richard E.
Booij, Linda
Source :
Human Brain Mapping. 12/15/2020, Vol. 41 Issue 18, p5228-5239. 12p.
Publication Year :
2020

Abstract

Previous research has shown that the prenatal environment, commonly indexed by birth weight (BW), is a predictor of morphological brain development. We previously showed in monozygotic (MZ) twins associations between BW and brain morphology that were independent of genetics. In the present study, we employed a longitudinal MZ twin design to investigate whether variations in prenatal environment (as indexed by discordance in BW) are associated with resting‐state functional connectivity (rs‐FC) and with structural connectivity. We focused on the limbic and default mode networks (DMNs), which are key regions for emotion regulation and internally generated thoughts, respectively. One hundred and six healthy adolescent MZ twins (53 pairs; 42% male pairs) followed longitudinally from birth underwent a magnetic resonance imaging session at age 15. Graph theoretical analysis was applied to rs‐FC measures. TrackVis was used to determine track count as an indicator of structural connectivity strength. Lower BW twins had less efficient limbic network connectivity as compared to their higher BW co‐twin, driven by differences in the efficiency of the right hippocampus and right amygdala. Lower BW male twins had fewer tracks connecting the right hippocampus and right amygdala as compared to their higher BW male co‐twin. There were no associations between BW and the DMN. These findings highlight the possible role of unique prenatal environmental influences in the later development of efficient spontaneous limbic network connections within healthy individuals, irrespective of DNA sequence or shared environment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10659471
Volume :
41
Issue :
18
Database :
Academic Search Index
Journal :
Human Brain Mapping
Publication Type :
Academic Journal
Accession number :
147049817
Full Text :
https://doi.org/10.1002/hbm.25188