98%
921
2 minutes
20
Neurocognitive heterogeneity is increasingly recognized as a valid phenomenon in ADHD, with most estimates suggesting that executive dysfunction is present in only about 33%-50% of these children. However, recent critiques question the veracity of these estimates because our understanding of executive functioning in ADHD is based, in large part, on data from single tasks developed to detect gross neurological impairment rather than the specific executive processes hypothesized to underlie the ADHD phenotype. The current study is the first to comprehensively assess heterogeneity in all three primary executive functions in ADHD using a criterion battery that includes multiple tests per construct (working memory, inhibitory control, set shifting). Children ages 8-13 (M = 10.37, SD = 1.39) with and without ADHD (N = 136; 64 girls; 62% Caucasian/Non-Hispanic) completed a counterbalanced series of executive function tests. Accounting for task unreliability, results indicated significantly improved sensitivity and specificity relative to prior estimates, with 89% of children with ADHD demonstrating objectively-defined impairment on at least one executive function (62% impaired working memory, 27% impaired inhibitory control, 38% impaired set shifting; 54% impaired on one executive function, 35% impaired on two or all three executive functions). Children with working memory deficits showed higher parent- and teacher-reported ADHD inattentive and hyperactive/impulsive symptoms (BF = 5.23 × 10), and were slightly younger (BF = 11.35) than children without working memory deficits. Children with vs. without set shifting or inhibitory control deficits did not differ on ADHD symptoms, age, gender, IQ, SES, or medication status. Taken together, these findings confirm that ADHD is characterized by neurocognitive heterogeneity, while suggesting that contemporary, cognitively-informed criteria may provide improved precision for identifying a smaller number of neuropsychologically-impaired subtypes than previously described.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6204311 | PMC |
http://dx.doi.org/10.1007/s10802-018-0438-2 | DOI Listing |
Comput 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.
View Article and Find Full Text PDFEnviron Int
September 2025
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
Sichuan Basin (SCB) is a critical region in China facing the dual pressures of air pollution and population aging. This study constructed high resolution (1 km) PM datasets for SCB using advanced machine learning approaches - Super Resolution Generative Adversarial Networks (SRGAN) and Convolutional Neural Network - Long Short-Term Memory (CNN-LSTM). Evaluation results demonstrate good performance of the machine learning model (SRGAN: R = 0.
View Article and Find Full Text PDF