Normal development of the brain: a survey of joint structural–functional brain studies
Author:
Namiranian Roxana1ORCID, Rahimi Malakshan Sahar1, Abrishami Moghaddam Hamid12, Khadem Ali1, Jafari Reza3
Affiliation:
1. Department of Biomedical Engineering , Faculty of Electrical Engineering, K. N. Toosi University of Technology , Tehran 16317-14191 , Iran 2. Inserm UMR 1105, Université de Picardie Jules Verne , 80054 Amiens , France 3. Department of Electrical and Computer Engineering , Thompson Engineering Building, University of Western Ontario , London , ON N6A 5B9 , Canada
Abstract
Abstract
Joint structural–functional (S-F) developmental studies present a novel approach to address the complex neuroscience questions on how the human brain works and how it matures. Joint S-F biomarkers have the inherent potential to model effectively the brain’s maturation, fill the information gap in temporal brain atlases, and demonstrate how the brain’s performance matures during the lifespan. This review presents the current state of knowledge on heterochronous and heterogeneous development of S-F links during the maturation period. The S-F relationship has been investigated in early-matured unimodal and prolonged-matured transmodal regions of the brain using a variety of structural and functional biomarkers and data acquisition modalities. Joint S-F unimodal studies have employed auditory and visual stimuli, while the main focus of joint S-F transmodal studies has been resting-state and cognitive experiments. However, nonsignificant associations between some structural and functional biomarkers and their maturation show that designing and developing effective S-F biomarkers is still a challenge in the field. Maturational characteristics of brain asymmetries have been poorly investigated by the joint S-F studies, and the results were partially inconsistent with previous nonjoint ones. The inherent complexity of the brain performance can be modeled using multifactorial and nonlinear techniques as promising methods to simulate the impact of age on S-F relations considering their analysis challenges.
Funder
Cognitive Sciences and Technologies Council
Publisher
Walter de Gruyter GmbH
Subject
General Neuroscience
Reference162 articles.
1. Adibpour, P., Lebenberg, J., Kabdebon, C., Dehaene-Lambertz, G., and Dubois, J. (2020). Anatomo-functional correlates of auditory development in infancy. Dev. Cogn. Neurosci. 42: 100752, https://doi.org/10.1016/j.dcn.2019.100752. 2. Baldoli, C., Scola, E., Della Rosa, P.A., Pontesilli, S., Longaretti, R., Poloniato, A., Scotti, R., Blasi, V., Cirillo, S., and Iadanza, A. (2015). Maturation of preterm newborn brains: a fMRI–DTI study of auditory processing of linguistic stimuli and white matter development. Brain Struct. Funct. 220: 3733–3751, https://doi.org/10.1007/s00429-014-0887-5. 3. Barnes-Davis, M.E., Williamson, B.J., Merhar, S.L., Holland, S.K., and Kadis, D.S. (2020). Rewiring the extremely preterm brain: altered structural connectivity relates to language function. NeuroImage Clin. 25: 102194, https://doi.org/10.1016/j.nicl.2020.102194. 4. Batista-García-Ramó, K. and Fernández-Verdecia, C.I. (2018). What we know about the brain structure–function relationship. Behav. Sci. 8: 39, https://doi.org/10.3390/bs8040039. 5. Baum, G.L., Ciric, R., Roalf, D.R., Betzel, R.F., Moore, T.M., Shinohara, R.T., Kahn, A.E., Vandekar, S.N., Rupert, P.E., and Quarmley, M. (2017). Modular segregation of structural brain networks supports the development of executive function in youth. Curr. Biol. 27: 1561–1572, https://doi.org/10.1016/j.cub.2017.04.051.
|
|