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Imaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder
Miao Cao1, Ni Shu, Qingjiu Cao
1State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
Insights
Children with attention-deficit/hyperactivity disorder (ADHD) show altered brain network connectivity. These brain connectome changes, including reduced global integrity, are linked to ADHD symptoms and may aid in diagnosis.
Area of Science:
- Neuroscience
- Developmental Psychology
- Medical Imaging
Background:
- Attention-deficit/hyperactivity disorder (ADHD) is a common childhood neurodevelopmental disorder.
- Core ADHD symptoms include inattention, hyperactivity, and impulsivity.
- Previous research links ADHD behavior deficits to brain abnormalities and altered connectivity.
Purpose of the Study:
- To review recent advances in functional and structural brain connectomics for ADHD.
- To focus on graph analysis of large-scale brain systems in ADHD.
- To understand ADHD's impact on brain network topology and its relation to symptoms.
Main Methods:
- Utilized noninvasive neuroimaging (EEG, fMRI, dMRI) and neurophysiological techniques.
- Applied graph theoretical approaches to map brain network topology (connectomes).
- Analyzed functional and structural connectivity alterations in ADHD populations.
Main Results:
- Children with ADHD exhibit abnormal small-world network properties (higher local clustering, lower global integrity).
- ADHD-associated network alterations show a shift towards regular configurations.
- Functional and structural connectivity changes involve default-mode, attention, and sensorimotor systems, correlating with symptom severity.
Conclusions:
- Connectome-based studies reveal significant brain network dysfunction in ADHD.
- These findings offer insights into ADHD pathophysiology.
- ADHD-related connectome alterations may serve as potential imaging biomarkers for diagnosis and treatment evaluation.
Abstract:
Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopment disorders in childhood. Clinically, the core symptoms of this disorder include inattention, hyperactivity, and impulsivity. Previous studies have documented that these behavior deficits in ADHD children are associated with not only regional brain abnormalities but also changes in functional and structural connectivity among regions. In the past several years, our understanding of how ADHD affects the brain's connectivity has been greatly advanced by mapping topological alterations of large-scale brain networks (i.e., connectomes) using noninvasive neurophysiological and neuroimaging techniques (e.g., electroencephalograph, functional MRI, and diffusion MRI) in combination with graph theoretical approaches. In this review, we summarize the recent progresses of functional and structural brain connectomics in ADHD, focusing on graphic analysis of large-scale brain systems. Convergent evidence suggests that children with ADHD had abnormal small-world properties in both functional and structural brain networks characterized by higher local clustering and lower global integrity, suggesting a disorder-related shift of network topology toward regular configurations. Moreover, ADHD children showed the redistribution of regional nodes and connectivity involving the default-mode, attention, and sensorimotor systems. Importantly, these ADHD-associated alterations significantly correlated with behavior disturbances (e.g., inattention and hyperactivity/impulsivity symptoms) and exhibited differential patterns between clinical subtypes. Together, these connectome-based studies highlight brain network dysfunction in ADHD, thus opening up a new window into our understanding of the pathophysiological mechanisms of this disorder. These works might also have important implications on the development of imaging-based biomarkers for clinical diagnosis and treatment evaluation in ADHD.
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