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Brain structure and habitat: Do the brains of our children tell us where they have been brought up?

Authors :
Simone Kühn
Tobias Banaschewski
Arun L.W. Bokde
Christian Büchel
Erin Burke Quinlan
Sylvane Desrivières
Herta Flor
Antoine Grigis
Hugh Garavan
Penny Gowland
Andreas Heinz
Bernd Ittermann
Jean-Luc Martinot
Marie Laure Paillère Martinot
Frauke Nees
Dimitri Papadopoulos Orfanos
Tomáš Paus
Luise Poustka
Sabina Millenet
Juliane H. Fröhner
Michael N. Smolka
Henrik Walter
Robert Whelan
Gunter Schumann
Andreas Meyer-Lindenberg
Jürgen Gallinat
Source :
NeuroImage, Vol 222, Iss , Pp 117225- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Recently many lifestyle factors have been shown to be associated with brain structural alterations. At present we are facing increasing population shifts from rural to urban areas, which considerably change the living environments of human beings. To investigate the association between rural vs. urban upbringing and brain structure we selected 106 14-year old adolescents of whom half were exclusively raised in rural areas and the other half who exclusively lived in cities. Voxel-based morphometry revealed a group difference in left hippocampal formation (Rural > City), which was positively associated with cognitive performance in a spatial processing task. Moreover, significant group differences were observed in spatial processing (Rural > City). A mediation analysis revealed that hippocampal formation accounted for more than half of the association between upbringing and spatial processing. The results are compatible with studies reporting earlier and more intense opportunities for spatial exploration in children brought up in rural areas. The results are interesting in the light of urban planning where spaces enabling spatial exploration for children may deserve more attention.

Details

Language :
English
ISSN :
10959572
Volume :
222
Issue :
117225-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.652b43d83b88412e898b011c878ede3e
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2020.117225