Abstract
Background: Attention-deficit/hyperactivity disorder (ADHD) is the most commonly diagnosed childhood psychiatric disorder. Disrupted sustained attention is one of the most significant behavioral impairments in this disorder. We mapped systems-level topological properties of the neural network responsible for sustained attention during a visual sustained task, on the premise that strong associations between anomalies in network features and clinical measures of ADHD would emerge. Methods: Graph theoretic techniques (GTT) and bivariate network-based statistics (NBS) were applied to fMRI data from 22 children with ADHD combined-type and 22 age-matched neurotypicals, to evaluate the topological and nodal-pairing features in the functional brain networks. Correlation testing for relationships between network properties and clinical measures were then performed. Results: The visual attention network showed significantly reduced local-efficiency and nodal-efficiency in frontal and occipital regions in ADHD. Measures of degree and between-centrality pointed to hyper-functioning in anterior cingulate cortex and hypo-functioning in orbito-frontal, middle-occipital, superior-temporal, supra-central, and supra-marginal gyri in ADHD. NBS demonstrated significantly reduced pair-wise connectivity in an inner-network, encompassing right parietal and temporal lobes and left occipital lobe, in the ADHD group. Conclusions: These data suggest that atypical topological features of the visual attention network contribute to classic ADHD symptomatology, and may underlie the inattentiveness and hyperactivity/impulsivity that are characteristics of this syndrome.
Original language | English (US) |
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Article number | 162 |
Journal | Frontiers in Human Neuroscience |
Volume | 8 |
Issue number | MAR |
DOIs | |
State | Published - Mar 20 2014 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Neuropsychology and Physiological Psychology
- Neurology
- Psychiatry and Mental health
- Biological Psychiatry
- Behavioral Neuroscience
Keywords
- Adhd
- Attention
- FMRI
- Functional connectivity
- Graph theoretic techniques
- Network-based statistic
- Small world network