Normal development of the brain: a survey of joint structural-functional brain studies

被引:0
|
作者
Namiranian, Roxana [3 ]
Malakshan, Sahar Rahimi [3 ]
Moghaddam, Hamid Abrishami [1 ,2 ]
Khadem, Ali [3 ]
Jafari, Reza [4 ]
机构
[1] KN Toosi Univ Technol, Fac Elect Engn, POB 16315-1355, Tehran, Iran
[2] Univ Picardie Jules Verne, Inserm UMR 1105, F-80054 Amiens, France
[3] KN Toosi Univ Technol, Fac Elect Engn, Dept Biomed Engn, Tehran 1631714191, Iran
[4] Univ Western Ontario, Dept Elect & Comp Engn, Thompson Engn Bldg, London, ON N6A 5B9, Canada
关键词
brain development; joint structural-functional development; structural-functional biomarkers; unimodal and transmodal maturation; WHITE-MATTER MATURATION; DEFAULT-MODE NETWORK; WORKING-MEMORY; REASONING ABILITY; NERVOUS-SYSTEM; CONNECTIVITY; DIFFUSION; PLASTICITY; CHILDHOOD; ORGANIZATION;
D O I
10.1515/revneuro-2022-0017
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:745 / 765
页数:21
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