Intact stimulus–response conflict processing in ADHD—multilevel evidence and theoretical implications

Research output: Contribution to journalResearch articleContributedpeer-review

Abstract

Attention-deficit-hyperactivity disorder (ADHD) is closely associated with deficits in cognitive control. It seems, however, that the degree of deficits strongly depends on the examined subprocess, with the resolution of stimulus–stimulus conflicts being particularly difficult for patients with ADHD. The picture is far less clear regarding stimulus–response conflicts. The current study provides multi-level behavioural and neurophysiological data on this type of conflict monitoring in children with ADHD compared to healthy controls. To account for the potentially strong effects of intra-individual variability, electroencephalogram (EEG) signal decomposition methods were used to analyze the data. Crucially, none of the analyses (behavioural, event-related potentials, or decomposed EEG data) show any differences between the ADHD group and the control group. Bayes statistical analysis confirmed the high likelihood of the null hypothesis being true in all cases. Thus, the data provide multi-level evidence showing that conflict monitoring processes are indeed partly intact in ADHD, even when eliminating possible biasing factors such as intra-individual variability. While stimulus–stimulus conflict processing has been shown to be consistently dysfunctional in ADHD, the resolution of stimulus–response conflicts is not deficient in this patient group. In comparison to other studies, the results provide novel theoretical insights into the nature of conflict control deficits in childhood ADHD.

Details

Original languageEnglish
Article number234
JournalJournal of clinical medicine
Volume9
Issue number1
Publication statusPublished - Jan 2020
Peer-reviewedYes

External IDs

ORCID /0000-0002-2989-9561/work/160952355
ORCID /0000-0002-9069-7803/work/160953279

Keywords

ASJC Scopus subject areas

Keywords

  • Attention-deficit-hyperactivity disorder (ADHD), Conflict monitoring, EEG, Signal decomposition