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Objective: Children with ADHD demonstrate impaired performance on a wide range of neuropsychological tests. It is unclear, however, whether ADHD is associated with many neurocognitive deficits or whether a small number of impairment(s) broadly influence test performance. The current study tests competing model predictions regarding two candidate causal mechanisms in ADHD: information processing speed and working memory.
Method: A well-characterized sample of 86 children ( = 10.52, = 1.54; 34 girls; 64% Caucasian/Non-Hispanic) with ADHD ( = 45) and without ADHD ( = 41) completed eight fully crossed experimental tasks that systematically manipulated working memory (BF₁₀ = 1.80 × 10⁹³) and information processing speed (drift rate; BF₁₀ = 7.61 × 10⁶).
Results: Bayesian mixed-model ANOVAs indicated that increasing working memory demands produced significant reductions in information processing speed (drift rate; BF₁₀ = 5.82 × 10⁹⁶). In contrast, experimentally reducing children's information processing speed did not significantly change their working memory performance (BF₁₀ = 1.31). ADHD status interacted with the working memory manipulation, such that the ADHD and non-ADHD groups showed equivalently high accuracy under the encoding-only conditions (BF₀₁ = 3.45) but differed significantly under high working memory conditions (encoding + recall; BF₁₀ = 19.58). Importantly, however, ADHD status failed to interact with (a) the working memory manipulation to differentially affect information processing speed and (b) the information processing speed manipulation to differentially affect working memory performance (all BF₀₁ > 4.25).
Conclusions: These findings indicate that top-down executive control exerts significant effects on children's ability to quickly process information, but that working memory deficits and slowed information processing speed appear to be relatively independent impairments in ADHD. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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http://dx.doi.org/10.1037/neu0000598 | DOI Listing |
Med Teach
September 2025
NordSim, Center for Skills Training and Simulation, Aalborg University Hospital, Aalborg, Denmark.
Background: Assessing skills in simulated settings is resource-intensive and lacks validated metrics. Advances in AI offer the potential for automated competence assessment, addressing these limitations. This study aimed to develop and validate a machine learning AI model for automated evaluation during simulation-based thyroid ultrasound (US) training.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
September 2025
International School of Microelectronics, Dongguan University of Technology, Dongguan, China.
Many traditional classification networks directly use the limb two-lead signal (MLII) ECG signals as input for training. However, this method suffers from reduced accuracy when ECG features are not obvious, especially for premature heartbeats. To solve the issue, this paper proposed a novel network, namely CDLR-Net, that combines a Deep Residual Shrinkage Network (DRSN) with a Long Short-Term Memory (LSTM).
View Article and Find Full Text PDFBiol Psychol
September 2025
Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, 610066, China. Electronic address:
Working memory (WM) regulates information flow through gate mechanisms, consisting of four subprocesses: gate opening, gate closing, updating, and substitution. However, their neural mechanisms remain underexplored. While emotion-cognition interactions are well studied, the effects of negative mood on these subprocesses are unclear.
View Article and Find Full Text PDFAnal Biochem
September 2025
School of Computer Science and Engineering, Southeast University, Nanjing 210000, China.
In the complex process of gene expression and regulation, RNA-binding proteins occupy a pivotal position for RNA. Accurate prediction of RNA-protein binding sites can help researchers better understand RNA-binding proteins and their related mechanisms. And prediction techniques based on machine learning algorithms are both cost-effective and efficient in identifying these binding sites.
View Article and Find Full Text PDFActa Psychol (Amst)
September 2025
Department of Psychology, Chung-Shan Medical University, Taichung, Taiwan; Clinical Psychological Room, Chung-Shan Medical University Hospital, Taichung, Taiwan. Electronic address:
Background: Previous research indicates near transfer effects of working memory (WM) training on updating, shifting, and inhibition tasks, although findings vary. Regarding fluid intelligence (Gf), studies yield conflicting results on the far transfer effects of WM training. The current study investigates whether different styles of adaptive visuospatial N-back WM training produce near and far transfer effects and whether individual differences moderate these effects.
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