Large-scale brain systems in ADHD: beyond the prefrontal-striatal model.
F Xavier Castellanos1, Erika Proal
1Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, Child Study Center, NYU Langone School of Medicine, New York, NY, USA. francisco.castellanos@nyumc.org
Trends in Cognitive Sciences
|December 16, 2011
Summary
Attention-deficit/hyperactivity disorder (ADHD) involves more brain networks than previously thought. New research highlights the role of large-scale neural systems in ADHD, offering insights into its complex symptoms.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Psychiatry
Background:
- Traditional ADHD models focus on prefrontal-striatal circuitry.
- Other large-scale brain networks' roles in ADHD have been overlooked.
- Advances in systems neuroscience enable broader network analysis.
Purpose of the Study:
- To review progress in delineating large-scale neural systems relevant to ADHD.
- To illustrate the involvement of multiple resting-state networks in ADHD pathophysiology.
- To connect specific networks to ADHD's functional and structural literature.
Main Methods:
- Review of systems neuroscience-based approaches to brain dysfunction.
- Analysis of large-scale resting-state networks in ADHD.
- Mapping intrinsic brain connectivity networks.
Main Results:
- Frontoparietal, dorsal attentional, motor, visual, and default networks are linked to ADHD.
- Brain connectivity network mapping offers a mechanistic framework for ADHD.
- Potential role of primary visual cortex in ADHD-related attentional dysfunction identified.
Conclusions:
- ADHD pathophysiology involves multiple large-scale neural systems beyond the prefrontal-striatal circuit.
- Understanding intrinsic brain connectivity networks is crucial for explaining ADHD heterogeneity.
- This network-based approach provides a framework for future ADHD research and treatment strategies.
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