ADHD symptoms are associated with the modular structure of intrinsic brain networks in a representative sample of healthy adults

Author:

Hilger Kirsten12ORCID,Fiebach Christian J.123ORCID

Affiliation:

1. Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany

2. IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany

3. Brain Imaging Center, Goethe University Frankfurt, Frankfurt am Main, Germany

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders with significant and often lifelong effects on social, emotional, and cognitive functioning. Influential neurocognitive models of ADHD link behavioral symptoms to altered connections between and within functional brain networks. Here, we investigate whether network-based theories of ADHD can be generalized to understanding variations in ADHD-related behaviors within the normal (i.e., clinically unaffected) adult population. In a large and representative sample, self-rated presence of ADHD symptoms varied widely; only 8 out of 291 participants scored in the clinical range. Subject-specific brain network graphs were modeled from functional MRI resting-state data and revealed significant associations between (nonclinical) ADHD symptoms and region-specific profiles of between-module and within-module connectivity. Effects were located in brain regions associated with multiple neuronal systems including the default-mode network, the salience network, and the central executive system. Our results are consistent with network perspectives of ADHD and provide further evidence for the relevance of an appropriate information transfer between task-negative (default-mode) and task-positive brain regions. More generally, our findings support a dimensional conceptualization of ADHD and contribute to a growing understanding of cognition as an emerging property of functional brain networks.

Funder

Child Mind Institute, NY 10022, USA

National Institute of Mental Health

German Research Fundation

Publisher

MIT Press - Journals

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,General Neuroscience

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