The attention network characteristics of adults with high ADHD traits: low stability, boost accuracy by sacrificing response time

Adults with high ADHD traits (H-ADHD) face challenges in academics, social interactions, and careers, yet their attention characteristics remains unclear. Using Attention Network Test (ANT), we examine attentional characteristics (including specific attentional qualities and overall attentional performance) of H-ADHD and explore how their specific attentional qualities impact overall attentional performance. We find H-ADHD primarily manifests lower alerting network, higher intra-individual coefficient of variation (ICV) and poorer balanced integration score (BIS). These results remain stable even after controlling for covariates such as anxiety and depression scores. Furthermore, the BIS deficiency in high attention deficit traits group (H-ADHD-I) specifically manifests as "high accuracy-slow reaction time," reflecting their response pattern as the reaction time compensated accuracy. Additionally, compared to alerting network, attentional variability (ICV) has a greater role in mediating the impact of ADHD symptoms on overall attentional performance (BIS). Taken together, H-ADHD mainly exhibit deficits in sustained attention (alerting network), attentional stability (ICV), and overall attentional performance. ADHD symptoms worsen overall attentional performance due to increased attentional variability. The study emphasizes the sensitivity of alerting network, ICV, and BIS indicators, and highlights the significance of attentional variability, suggesting their potential clinical value in the future.

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Publication Details

Journal
Frontiers in Psychology
Published
2024-12-18
DOI
https://doi.org/10.3389/fpsyg.2024.1477581
Citations
3
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
1.16

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article

The attention network characteristics of adults with high ADHD traits: low stability, boost accuracy by sacrificing response time

Jie Xiang, Tingyong Feng, Xueke Wang
3 citations
Frontiers in Psychology
Attention Deficit Hyperactivity Disorder
1.16
article

The attention network characteristics of adults with high ADHD traits: low stability, boost accuracy by sacrificing response time

Jie Xiang, Tingyong Feng, Xueke Wang
article en
3 citations

Abstract

Adults with high ADHD traits (H-ADHD) face challenges in academics, social interactions, and careers, yet their attention characteristics remains unclear. Using Attention Network Test (ANT), we examine attentional characteristics (including specific attentional qualities and overall attentional performance) of H-ADHD and explore how their specific attentional qualities impact overall attentional performance. We find H-ADHD primarily manifests lower alerting network, higher intra-individual coefficient of variation (ICV) and poorer balanced integration score (BIS). These results remain stable even after controlling for covariates such as anxiety and depression scores. Furthermore, the BIS deficiency in high attention deficit traits group (H-ADHD-I) specifically manifests as "high accuracy-slow reaction time," reflecting their response pattern as the reaction time compensated accuracy. Additionally, compared to alerting network, attentional variability (ICV) has a greater role in mediating the impact of ADHD symptoms on overall attentional performance (BIS). Taken together, H-ADHD mainly exhibit deficits in sustained attention (alerting network), attentional stability (ICV), and overall attentional performance. ADHD symptoms worsen overall attentional performance due to increased attentional variability. The study emphasizes the sensitivity of alerting network, ICV, and BIS indicators, and highlights the significance of attentional variability, suggesting their potential clinical value in the future.

Frontiers in PsychologyVol. 15
Ministry of Education of the People's Republic of China (CN), Southwest University (CN)
National Natural Science Foundation of China, Southwest University, Centre Scientifique et Technique du Bâtiment, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 19%
Attention Deficit Hyperactivity Disorder
1.16
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