» Articles » PMID: 29449712

Imaging Structural and Functional Brain Development in Early Childhood

Overview
Specialty Neurology
Date 2018 Feb 17
PMID 29449712
Citations 359
Authors
Affiliations
Soon will be listed here.
Abstract

In humans, the period from term birth to ∼2 years of age is characterized by rapid and dynamic brain development and plays an important role in cognitive development and risk of disorders such as autism and schizophrenia. Recent imaging studies have begun to delineate the growth trajectories of brain structure and function in the first years after birth and their relationship to cognition and risk of neuropsychiatric disorders. This Review discusses the development of grey and white matter and structural and functional networks, as well as genetic and environmental influences on early-childhood brain development. We also discuss initial evidence regarding the usefulness of early imaging biomarkers for predicting cognitive outcomes and risk of neuropsychiatric disorders.

Citing Articles

Unveiling the Pathogenic Role of Novel CPLANE1 Compound Heterozygous Variants in Joubert Syndrome: Insights Into mRNA Stability and NMD Pathway.

Hong Z, Xiang S, Chen Z, Qiu X, Zhang L, Ma L J Cell Mol Med. 2025; 29(5):e70484.

PMID: 40074699 PMC: 11903199. DOI: 10.1111/jcmm.70484.


Graph Neural Network Learning on the Pediatric Structural Connectome.

Srinivasan A, Raja R, Glass J, Hudson M, Sabin N, Krull K Tomography. 2025; 11(2).

PMID: 39997997 PMC: 11861995. DOI: 10.3390/tomography11020014.


Persistent impact of antenatal maternal anaemia on child brain structure at 6-7 years of age: a South African child health study.

Ringshaw J, Hendrikse C, Wedderburn C, Bradford L, Williams S, Nyakonda C BMC Med. 2025; 23(1):94.

PMID: 39984912 PMC: 11846184. DOI: 10.1186/s12916-024-03838-6.


Deciphering Multiway Multiscale Brain Network Connectivity: Insights from Birth to 6 Months.

Li Q, Fu Z, Walum H, Seraji M, Bajracharya P, Calhoun V bioRxiv. 2025; .

PMID: 39975042 PMC: 11838216. DOI: 10.1101/2025.01.24.634772.


Early cell cycle genes in cortical organoid progenitors predict interindividual variability in infant brain growth trajectories.

Glass M, Matoba N, Beltran A, Patel N, Farah T, Eswar K bioRxiv. 2025; .

PMID: 39974968 PMC: 11839139. DOI: 10.1101/2025.02.07.637106.


References
1.
Gao W, Alcauter S, Smith J, Gilmore J, Lin W . Development of human brain cortical network architecture during infancy. Brain Struct Funct. 2014; 220(2):1173-86. PMC: 4850360. DOI: 10.1007/s00429-014-0710-3. View

2.
Woo C, Chang L, Lindquist M, Wager T . Building better biomarkers: brain models in translational neuroimaging. Nat Neurosci. 2017; 20(3):365-377. PMC: 5988350. DOI: 10.1038/nn.4478. View

3.
Jones D, Knosche T, Turner R . White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. Neuroimage. 2012; 73:239-54. DOI: 10.1016/j.neuroimage.2012.06.081. View

4.
Ball G, Aljabar P, Arichi T, Tusor N, Cox D, Merchant N . Machine-learning to characterise neonatal functional connectivity in the preterm brain. Neuroimage. 2015; 124(Pt A):267-275. PMC: 4655920. DOI: 10.1016/j.neuroimage.2015.08.055. View

5.
Nakano T, Watanabe H, Homae F, Taga G . Prefrontal cortical involvement in young infants' analysis of novelty. Cereb Cortex. 2008; 19(2):455-63. DOI: 10.1093/cercor/bhn096. View