The development of hub architecture in the human functional brain network.
نویسندگان
چکیده
Functional hubs are brain regions that play a crucial role in facilitating communication among parallel, distributed brain networks. The developmental emergence and stability of hubs, however, is not well understood. The current study used measures of network topology drawn from graph theory to investigate the development of functional hubs in 99 participants, 10-20 years of age. We found that hub architecture was evident in late childhood and was stable from adolescence to early adulthood. Connectivity between hub and non-hub ("spoke") regions, however, changed with development. From childhood to adolescence, the strength of connections between frontal hubs and cortical and subcortical spoke regions increased. From adolescence to adulthood, hub-spoke connections with frontal hubs were stable, whereas connectivity between cerebellar hubs and cortical spoke regions increased. Our findings suggest that a developmentally stable functional hub architecture provides the foundation of information flow in the brain, whereas connections between hubs and spokes continue to develop, possibly supporting mature cognitive function.
منابع مشابه
I-13: Transcriptome Dynamics of Human and Mouse Preimplantation Embryos Revealed by Single Cell RNA-Sequencing
Background: Mammalian preimplantation development is a complex process involving dramatic changes in the transcriptional architecture. However, it is still unclear about the crucial transcriptional network and key hub genes that regulate the proceeding of preimplantation embryos. Materials and Methods: Through single-cell RNAsequencing (RNA-seq) of both human and mouse preimplantation embryos, ...
متن کاملDesigning a Model for development of Knowledge networks in Research and technology Hub of Oil Industry "Using soft-ThinkingApproach and cognitiveMapping model"
Knowledge network is one of the new strategies of knowledge management and it,s rationale of it is create synergy effects through a combination of effective human resources knowledge workers and knowledge bases of allied companies. Today, the face of complex structural issues and various stakeholders,s views to it, leading to increase use of software systems, particularly in managerial issues t...
متن کاملInvestigating the functional communication network in patients with knee osteoarthritis using graph-based statistical models
Introduction: Osteoarthritis of the knee is the most prevalent type of arthritis that causes persistent pain and reduces the quality of life. However, no treatment alleviates symptoms or stops the disease from progressing. Functional magnetic resonance imaging (fMRI) studies can provide information on neural mechanisms of pain by assessing correlation patterns among the different regions of the...
متن کاملBrain Functional Connectivity Changes During Learning of Time Discrimination
The human brain is a complex system consist of connected nerve cells that adapts with and learn from the environment by changing its regional activities. Synchrony between these regional activities called functional network changes during the life, and with learning of new skills. Time perception and interval discrimination are among the most necessary skills for the human being to perceive mot...
متن کاملThe Benefits and implementations of Diffusion tensor imaging and Neural Fiber Tractography in Brain Surgery
Background and Aim: The methods for detecting brain activation with fMRI, MRI provides a way to measure the anatomical connections which enable lightning-fast communication among neurons that specialize in different kinds of brain functions. Diffusion tensor imaging is able to measure the direction of bundles of the axonal fibers which are all aligned. Besides mapping white matter fiber tracts,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Cerebral cortex
دوره 23 10 شماره
صفحات -
تاریخ انتشار 2013