An integrated analysis of neural network correlates of categorical and dimensional models of attention-deficit/hyperactivity disorder

Fulltext:
204848.pdf
Embargo:
until further notice
Size:
1.426Mb
Format:
PDF
Description:
publisher's version
Publication year
2019Source
Biological Psychiatry : Cognitive Neuroscience and Neuroimaging, 4, 5, (2019), pp. 472-483ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
Cognitive Neuroscience
PI Group Statistical Imaging Neuroscience
Human Genetics
Psychiatry
PI Group Memory & Emotion
Journal title
Biological Psychiatry : Cognitive Neuroscience and Neuroimaging
Volume
vol. 4
Issue
iss. 5
Page start
p. 472
Page end
p. 483
Subject
220 Statistical Imaging Neuroscience; Radboudumc 7: Neurodevelopmental disorders DCMN: Donders Center for Medical NeuroscienceAbstract
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental disorder, putatively induced by dissociable dysfunctional biobehavioral pathways. Here, we present a proof-of-concept study to parse ADHD-related heterogeneity in its underlying neurobiology by investigating functional connectivity across multiple brain networks to 1) disentangle categorical diagnosis-related effects from dimensional behavior-related effects and 2) functionally map these neural correlates to neurocognitive measures. METHODS: We identified functional connectivity abnormalities related to ADHD across 14 networks within a large resting-state functional magnetic resonance imaging dataset (n = 409; age = 17.5 +/- 3.3 years). We tested these abnormalities for their association with the categorical ADHD diagnosis and with dimensional inattention and hyperactivity/impulsivity scores using a novel modeling framework, creating orthogonalized models. Next, we evaluated the relationship of these findings with neurocognitive measures (working memory, response inhibition, reaction time variability, reward sensitivity). RESULTS: Within the default mode network, we mainly observed categorical ADHD-related functional connectivity abnormalities, unrelated to neurocognitive measures. Clusters within the visual networks primarily related to dimensional scores of inattention and reaction time variability, while findings within the sensorimotor networks were mainly linked to hyperactivity/impulsivity and both reward sensitivity and working memory. Findings within the cerebellum network and salience network related to both categorical and dimensional ADHD measures and were linked to response inhibition and reaction time variability. CONCLUSIONS: This proof-of-concept study identified ADHD-related neural correlates across multiple functional networks, showing distinct categorical and dimensional mechanisms and their links to neurocognitive functioning.
This item appears in the following Collection(s)
- Academic publications [227425]
- Donders Centre for Cognitive Neuroimaging [3564]
- Electronic publications [107155]
- Faculty of Medical Sciences [86157]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.