» Articles » PMID: 21303762

Network Analysis: Applications for the Developing Brain

Overview
Journal J Child Neurol
Specialties Neurology
Pediatrics
Date 2011 Feb 10
PMID 21303762
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Development of the human brain follows a complex trajectory of age-specific anatomical and physiological changes. The application of network analysis provides an illuminating perspective on the dynamic interregional and global properties of this intricate and complex system. Here, we provide a critical synopsis of methods of network analysis with a focus on developing brain networks. After discussing basic concepts and approaches to network analysis, we explore the primary events of anatomical cortical development from gestation through adolescence. Upon this framework, we describe early work revealing the evolution of age-specific functional brain networks in normal neurodevelopment. Finally, we review how these relationships can be altered in disease and perhaps even rectified with treatment. While this method of description and inquiry remains in early form, there is already substantial evidence that the application of network models and analysis to understanding normal and abnormal human neural development holds tremendous promise for future discovery.

Citing Articles

The sleep and wake electroencephalogram over the lifespan.

Sun H, Ye E, Paixao L, Ganglberger W, Chu C, Zhang C Neurobiol Aging. 2023; 124:60-70.

PMID: 36739622 PMC: 9957961. DOI: 10.1016/j.neurobiolaging.2023.01.006.


Sleep spindles in the healthy brain from birth through 18 years.

Kwon H, Walsh K, Berja E, Manoach D, Eden U, Kramer M Sleep. 2023; 46(4).

PMID: 36719044 PMC: 10091086. DOI: 10.1093/sleep/zsad017.


Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autism.

Matlis S, Boric K, Chu C, Kramer M BMC Neurol. 2015; 15:97.

PMID: 26111798 PMC: 4482270. DOI: 10.1186/s12883-015-0355-8.


Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood.

Miskovic V, Ma X, Chou C, Fan M, Owens M, Sayama H Neuroimage. 2015; 118:237-47.

PMID: 26057595 PMC: 4554821. DOI: 10.1016/j.neuroimage.2015.06.013.


Early metabolic development of posteromedial cortex and thalamus in humans analyzed via in vivo quantitative magnetic resonance spectroscopy.

Degnan A, Ceschin R, Lee V, Schmithorst V, Bluml S, Panigrahy A J Comp Neurol. 2014; 522(16):3717-32.

PMID: 24888973 PMC: 4193612. DOI: 10.1002/cne.23634.


References
1.
HUTTENLOCHER P, Dabholkar A . Regional differences in synaptogenesis in human cerebral cortex. J Comp Neurol. 1997; 387(2):167-78. DOI: 10.1002/(sici)1096-9861(19971020)387:2<167::aid-cne1>3.0.co;2-z. View

2.
Osheroff H, Hatten M . Gene expression profiling of preplate neurons destined for the subplate: genes involved in transcription, axon extension, neurotransmitter regulation, steroid hormone signaling, and neuronal survival. Cereb Cortex. 2009; 19 Suppl 1:i126-34. PMC: 2693533. DOI: 10.1093/cercor/bhp034. View

3.
Fan Y, Shi F, Smith J, Lin W, Gilmore J, Shen D . Brain anatomical networks in early human brain development. Neuroimage. 2010; 54(3):1862-71. PMC: 3023885. DOI: 10.1016/j.neuroimage.2010.07.025. View

4.
Qiu D, Tan L, Zhou K, Khong P . Diffusion tensor imaging of normal white matter maturation from late childhood to young adulthood: voxel-wise evaluation of mean diffusivity, fractional anisotropy, radial and axial diffusivities, and correlation with reading development. Neuroimage. 2008; 41(2):223-32. DOI: 10.1016/j.neuroimage.2008.02.023. View

5.
Uhlhaas P, Roux F, Singer W, Haenschel C, Sireteanu R, Rodriguez E . The development of neural synchrony reflects late maturation and restructuring of functional networks in humans. Proc Natl Acad Sci U S A. 2009; 106(24):9866-71. PMC: 2687997. DOI: 10.1073/pnas.0900390106. View