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Related Experiment Video

Updated: Mar 16, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Developing brain networks of attention.

Michael I Posner¹, Mary K Rothbart, Pascale Voelker

¹University of Oregon, Eugene, Oregon, USA.

Current Opinion in Pediatrics

|August 24, 2016

Summary

This summary is machine-generated.

This review updates knowledge on brain networks for attention, highlighting their development from infancy, links to self-regulation, and potential for training to improve cognitive function and address attention pathologies.

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Published on: October 24, 2012

Area of Science:

Cognitive Neuroscience
Developmental Psychology
Neurobiology

Background:

Attention is a fundamental cognitive function influencing perception, language, and memory.
Understanding attention networks is crucial for addressing developmental and neurological conditions.

Purpose of the Study:

To provide an updated review of brain networks associated with attention.
To explore the development, training, and pathologies of these attention networks.

Main Methods:

Literature review of recent research on attention networks.
Analysis of studies on the development of attention from infancy.
Examination of the relationship between attention networks and individual differences, including effortful control and anterior cingulate cortex size.

Main Results:

The executive attention network (cingulo-opercular network) facilitates goal-directed behavior and voluntary control.
Individual differences in self-regulation (effortful control) in children correlate with the executive network and anterior cingulate cortex.
Attention networks emerge in infancy and are implicated in childhood developmental differences and pathologies.

Conclusions:

Attention networks are foundational cognitive systems developing early in life.
Training attention shows promise for enhancing cognitive performance and mitigating attention-related disorders.
Further research into attention networks can inform interventions for developmental and clinical populations.