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Intrinsic Functional Connectivity in Attention-Deficit/Hyperactivity Disorder: A Science in Development
F Xavier Castellanos1, Yuta Aoki2
1The Child Study Center at NYU Langone Medical Center, New York, NY; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY.
Resting-state fMRI studies in Attention-Deficit/Hyperactivity Disorder (ADHD) are advancing, but head motion artifacts remain a challenge. Future research needs to map analytical sensitivities for reliable findings in neurodevelopmental disorders.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Neuroimaging
Background:
- Resting-state functional magnetic resonance imaging (fMRI) research in Attention-Deficit/Hyperactivity Disorder (ADHD) is expanding rapidly.
- Early studies often overlooked the significant impact of head motion artifacts, a critical methodological concern.
- The ADHD-200 Consortium dataset has enabled more sophisticated analyses and replication efforts.
Purpose of the Study:
- To review current hypotheses regarding brain network alterations in ADHD using resting-state fMRI.
- To highlight methodological challenges, particularly head motion, and the need for analytical standardization.
- To emphasize the importance of mapping analytical space topography for future longitudinal studies.
Main Methods:
- Narrative review of existing literature on resting-state fMRI in ADHD.
- Discussion of hypotheses implicating default mode, cognitive control, and attention networks.
- Emphasis on the need for systematic evaluation of analytical parameter sensitivities.
Main Results:
- Current hypotheses implicate interactions between default, cognitive control, and attention networks in ADHD.
- Functional connectivity of reward and amygdala circuits may underlie dimensional aspects of ADHD.
- Methodological uncertainties, especially concerning head motion, require further investigation.
Conclusions:
- Standardizing analytical approaches and understanding their sensitivities are crucial for advancing ADHD neuroimaging research.
- Mapping the analytical space is essential before definitive testing of hypotheses and understanding developmental trajectories.
- Openly available datasets and prospective longitudinal studies are vital for future discoveries in neurodevelopmental disorders.
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