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Clin EEG Neurosci. 2019 Nov;50(6):404-412. doi: 10.1177/1550059419864461. Epub 2019 Jul 19.

Probing the "Default Network Interference Hypothesis" With EEG: An RDoC Approach Focused on Attention.

Author information

1 Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands.
2 Research Institute Brainclinics, Nijmegen, the Netherlands.
3 Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands.
4 Department for Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland.
5 Brain Resource Inc, Sydney, New South Wales, Australia.
6 Brain Resource Inc., San Francisco, CA, USA.
7 The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Zurich, Switzerland.
8 Department of Neuropsychiatry, Kansai Medical University, Osaka, Japan.
9 Department of Medical Psychology, Radboud University Medical Center, Nijmegen, the Netherlands.
10 Department of Experimental Psychology, Utrecht University, Utrecht, The Netherlands.
11 neuroCare Group, Munich, Germany.


Studies have shown that specific networks (default mode network [DMN] and task positive network [TPN]) activate in an anticorrelated manner when sustaining attention. Related EEG studies are scarce and often lack behavioral validation. We performed independent component analysis (ICA) across different frequencies (source-level), using eLORETA-ICA, to extract brain-network activity during resting-state and sustained attention. We applied ICA to the voxel domain, similar to functional magnetic resonance imaging methods of analyses. The obtained components were contrasted and correlated to attentional performance (omission errors) in a large sample of healthy subjects (N = 1397). We identified one component that robustly correlated with inattention and reflected an anticorrelation of delta activity in the anterior cingulate and precuneus, and delta and theta activity in the medial prefrontal cortex and with alpha and gamma activity in medial frontal regions. We then compared this component between optimal and suboptimal attentional performers. For the latter group, we observed a greater change in component loading between resting-state and sustained attention than for the optimal performers. Following the National Institute of Mental Health Research Domain Criteria (RDoC) approach, we prospectively replicated and validated these findings in subjects with attention deficit/hyperactivity disorder. Our results provide further support for the "default mode interference hypothesis."


ADHD; EEG; RDoC; attention; eLORETA


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