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Open AccessJournal ArticleDOI

Development of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood

TLDR
The findings demonstrate the utility of FC for the study of developing functional organization and suggest that measures of FC may provide a quantitative index of brain maturation in healthy subjects and those with neurodevelopmental disorders.
Abstract
Human cerebral development is remarkably protracted. Although microstructural processes of neuronal maturation remain accessible only to morphometric post-mortem studies, neuroimaging tools permit the examination of macrostructural aspects of brain development. The analysis of resting-state functional connectivity (FC) offers novel possibilities for the investigation of cerebral development. Using seed-based FC methods, we examined the development of 5 functionally distinct cingulate-based intrinsic connectivity networks (ICNs) in children (n 5 14, 10.6 6 1.5 years), adolescents (n 5 12, 15.4 6 1.2) and young adults (n514, 22.4 6 1.2). Children demonstrated a more diffuse pattern of correlation with voxels proximal to the seed region of interest (ROI) (‘‘local FC’’), whereas adults exhibited more focal patterns of FC, as well as a greater number of significantly correlated voxels at long distances from the seed ROI. Adolescents exhibited intermediate patterns of FC. Consistent with evidence for different maturational time courses, ICNs associated with social and emotional functions exhibited the greatest developmental effects. Our findings demonstrate the utility of FC for the study of developing functional organization. Moreover, given that ICNs are thought to have an anatomical basis in neuronal connectivity, measures of FC may provide a quantitative index of brain maturation in healthy subjects and those with neurodevelopmental disorders.

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Journal ArticleDOI

Toward discovery science of human brain function

Bharat B. Biswal, +54 more
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
Journal ArticleDOI

Neurodegenerative Diseases Target Large-Scale Human Brain Networks

TL;DR: It is shown that five different neurodegenerative syndromes cause circumscribed atrophy within five distinct, healthy, human intrinsic functional connectivity networks, and a direct link between intrinsic connectivity and gray matter structure is discovered.
Journal ArticleDOI

Intrinsic Functional Connectivity As a Tool For Human Connectomics: Theory, Properties, and Optimization

TL;DR: The brevity and robustness of fcMRI positions it as a powerful tool for large-scale explorations of genetic influences on brain architecture and how it can be combined with HARDI techniques to support the emerging field of human connectomics.
Journal ArticleDOI

Functional brain networks develop from a "local to distributed" organization

TL;DR: Over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more “distributed” architecture in young adults, and it is argued that this “local to distributed” developmental characterization has important implications for understanding the development of neural systems underlying cognition.
References
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Journal ArticleDOI

Control of goal-directed and stimulus-driven attention in the brain

TL;DR: Evidence for partially segregated networks of brain areas that carry out different attentional functions is reviewed, finding that one system is involved in preparing and applying goal-directed selection for stimuli and responses, and the other is specialized for the detection of behaviourally relevant stimuli.
Journal ArticleDOI

A default mode of brain function.

TL;DR: A baseline state of the normal adult human brain in terms of the brain oxygen extraction fraction or OEF is identified, suggesting the existence of an organized, baseline default mode of brain function that is suspended during specific goal-directed behaviors.
Journal ArticleDOI

AFNI: software for analysis and visualization of functional magnetic resonance neuroimages

TL;DR: A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described and techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described.
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