Event-related potential (ERP) has the potential to reveal the temporal neurophysiological dynamics of risk decision-making, but this potential has not been fully explored in previous studies. When predicting risk decision with ERPs, most studies focus on between-trial analysis that reflects feedback learning, while within-trial analysis that could directly link option assessment with behavioral output has been largely ignored. Suitable task design is crucial for applying within-trial prediction. In this study, we used a modified version of the classic Balloon Analogue Risk Task (BART). In each trial of the task, participants made multiple rounds of decisions between a risky option (pump up the balloon) and a safe option (cash out). Behavioral results show that as the level of economic risk increased, participants were less willing to make a risky decision and also needed a longer response time to do so. In general, the ERP results showed distinct characteristics compared with previous findings based on between-trial prediction, particularly about the role of the P1 component. Specifically, both the P1 (amplitude and latency) and P3 (amplitude) components evoked by current outcomes predicted subsequent decisions. We suggest that these findings indicate the importance of selective attention (indexed by the P1) and motivational functions (indexed by the P3), which may help clarify the cognitive mechanism of risk decision-making. The theoretical significance of these findings is discussed.
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http://dx.doi.org/10.3758/s13415-017-0555-3 | DOI Listing |
Eur J Radiol
January 2025
Department of Radiology, West China Hospital Sichuan University Chengdu Sichuan China. Electronic address:
Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC) and to assess the model's performance in separate patients receiving neoadjuvant therapy for similar-stage tumors.
Method: This single-center retrospective study included consecutive patients with resectable BCLC A/B beyond Milan HCC undergoing upfront SR or neoadjuvant therapy. All images were independently evaluated by three blinded radiologists.
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFMenopause
January 2025
Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Objective: Although dysregulated inflammation has been postulated as a biological mechanism associated with post-acute sequelae of severe acute respiratory coronavirus 2 (SARS-CoV-2) infection (PASC) and shown to be a correlate and an outcome of PASC, it is unclear whether inflammatory markers can prospectively predict PASC risk. We examined the association of leukocyte count and high-sensitivity C-reactive protein (hsCRP) concentrations, measured ~25 years prior to the coronavirus disease 2019 (COVID-19) pandemic, with PASC, PASC severity, and PASC-associated cognitive outcomes at follow-up among postmenopausal women.
Methods: Using biomarker data from blood specimens collected during pre-pandemic enrollment (1993-1998) and data on 1,237 Women's Health Initiative participants who completed a COVID-19 survey between June 2021 and February 2022, we constructed multivariable regression models that controlled for pertinent characteristics.
Adv Skin Wound Care
January 2025
Li-li Ma, MSc, RN, is PhD Candidate, Medical College, Tongji University, Shanghai, China Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China. Ya-juan Zhang, MSc, RN, is Head Nurse, Department of Nursing, Shanghai Sixth People's Hospital, School of Medicine, Jiao Tong University, Shanghai. Hui-ren Zhuang, MSc, RN, is Department Head Nursing, Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University. Hui Jiang, PhD, RN, is Nursing Director, Department of Nursing, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University.
Objective: To analyze the risk factors for peristomal skin complications (PSCs) in patients with colorectal cancer and an ostomy, construct a prediction model, and verify its effectiveness.
Methods: In this cross-sectional study, researchers recruited 265 patients with an ostomy at the stoma clinic of a tertiary hospital, from May 2022 to August 2023. Patients were divided into two groups: complications group (n = 81) and no complications group (n = 184).
J Perinat Neonatal Nurs
January 2025
Author Affiliations: School of Nursing, Center for Research Development and Scholarship, Vanderbilt University (Ms Sommer, Dr Muchira, Ms Chinni, and Dr Mogos); Department of Obstetrics and Gynecology, Vanderbilt University Medical Center (Dr Garrison); Annette and Irwin Eskind Family Biomedical Library, Vanderbilt University, Nashville, Tennessee (Ms Walden); and Medical College of Georgia, Augusta University, Augusta, Georgia (Mr van der Eerden).
Purpose: Early detection and management of hypertensive disorders during pregnancy and postpartum are essential. This systematic review and meta analysis aimed: (1) to examine the state of 24-hour ambulatory blood pressure (ABP) use, and (2) in a subset of studies, evaluate 24-hour ABP parameters in the prediction and identification of Hypertensive Disorders of Pregnancy (HDP).
Methods: A comprehensive literature search was conducted in March of 2022 for English language studies published after 2000.
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