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Background: Individual differences in reward processing are central to heightened risk-taking behaviors during adolescence, but there is inconsistent evidence for the relationship between risk-taking phenotypes and the neural substrates of these behaviors.
Methods: Here, we identify latent features of reward in an attempt to provide a unifying framework linking together aspects of the brain and behavior during early adolescence using a multivariate pattern learning approach. Data (N = 8295; n male = 4190; n female = 4105) were acquired as part of the Adolescent Brain Cognitive Development (ABCD) Study and included neuroimaging (regional neural activity responses during reward anticipation) and behavioral (e.g., impulsivity measures, delay discounting) variables.
Results: We revealed a single latent dimension of reward driven by shared covariation between striatal, thalamic, and anterior cingulate responses during reward anticipation, negative urgency, and delay discounting behaviors. Expression of these latent features differed among adolescents with attention-deficit/hyperactivity disorder and disruptive behavior disorder, compared with those without, and higher expression of these latent features was negatively associated with multiple dimensions of executive function and cognition.
Conclusions: These results suggest that cross-domain patterns of anticipatory reward processing linked to negative features of impulsivity exist in both the brain and in behavior during early adolescence and that these are representative of 2 commonly diagnosed reward-related psychiatric disorders, attention-deficit/hyperactivity disorder and disruptive behavior disorder. Furthermore, they provide an explicit baseline from which multivariate developmental trajectories of reward processes may be tracked in later waves of the ABCD Study and other developmental cohorts.
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http://dx.doi.org/10.1016/j.bpsc.2023.11.008 | DOI Listing |
Anal Bioanal Chem
September 2025
Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, 215123, Jiangsu, China.
Latent autoimmune diabetes in adults (LADA) is a slowly progressing form of diabetes that develops in adulthood, characterized by autoimmune destruction of pancreatic β-cells and subsequent insulin deficiency, akin to type 1 diabetes (T1D). Due to its shared genetic, immunological, and metabolic features with both T1D and type 2 diabetes (T2D), LADA is frequently misdiagnosed and inappropriately treated as T2D. To address this, we developed the A.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Key Laboratory of Bio-Based Material Science and Technology of Ministry of Education, Northeast Forestry University, Harbin, 150040, China. Electronic address:
With the exhaustion of fossil fuels, prior phase change materials are characterized by such drawbacks as poor thermal conductivity, weak shape stability, and high costs. Therefore, the preparation of phase change materials with brilliant thermal-insulating properties, high thermal conductivity, and leakage-free properties has emerged as a crucial research focus. Herein, a sericultural mulberry branch-derived (SMB) composite phase change material was prepared by deep eutectic solvent pretreated SMB and vacuum-assisted impregnated paraffin wax with cupric oxide (CuO).
View Article and Find Full Text PDFComput Biol Med
September 2025
Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Intracranial aneurysms (IAs) are common vascular pathologies with a risk of fatal rupture. Human assessment of rupture risk is error prone, and treatment decision for unruptured IAs often rely on expert opinion and institutional policy. Therefore, we aimed to develop a computer-assisted aneurysm rupture prediction framework to help guide the decision-making process and create future decision criteria.
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
September 2025
Alcohol Research Group, Public Health Institute, Emeryville, California, USA.
Background: Individuals who consume alcohol often use other drugs as well. Little is known about the clustering of heavy and binge drinking with the use of other substances (tobacco, cannabis, illicit drugs, and nonmedical prescription drugs). Overweight/obesity, highly prevalent in the United States (US) and an established health risk factor, may also cluster with them.
View Article and Find Full Text PDFNeural Netw
August 2025
School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin, 644600, China; Intelligent Perception and Control Key Laboratory of Sichuan Province, Yibin, 644600, China.
Pathologic image analysis is important for providing fundamental references for the clinical diagnosis of breast cancer. Although many methods have achieved outstanding performance in the pathologic image segmentation of breast cancer, there are still two issues limiting further development in this task. First, diverse and complex appearances exist within the observed scope for the same type of breast cancer.
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