In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuroimaging has yet to deliver. This is in part explained by the use of univariate analytical techniques, small samples and lack of statistical power, lack of external validation of potential biomarkers, and lack of integration of nonimaging measures (eg, genetic, clinical, cognitive data). PSYSCAN is an international, longitudinal, multicenter study on the early stages of psychosis which uses machine learning techniques to analyze imaging, clinical, cognitive, and biological data with the aim of facilitating the prediction of psychosis onset and outcome. In this article, we provide an overview of the PSYSCAN protocol and we discuss benefits and methodological challenges of large multicenter studies that employ neuroimaging measures.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043057 | PMC |
| http://dx.doi.org/10.1093/schbul/sbz067 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Visualizing Preosteoarthritis: Updates on UTE-Based Compositional MRI and Deep Learning Algorithms.
J Magn Reson Imaging
January 2025
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as cartilage, meniscus/labrum, ligaments, and tendons, mainly with short T2 relaxation times. Detecting OA before the onset of irreversible changes is crucial for early proactive management and limit growing disease burden. The more recent advanced quantitative imaging techniques and deep learning (DL) algorithms in musculoskeletal imaging have shown great potential for visualizing "pre-OA.
View Article and Find Full Text PDFGenome-wide association study of varenicline-aided smoking cessation.
Nicotine Tob Res
January 2025
Department of Population Health Sciences, University of Leicester, Leicester, UK.
Introduction: Varenicline is an α4β2 nicotinic acetylcholine receptor partial agonist with the highest therapeutic efficacy of any pharmacological smoking cessation aid and a 12-month cessation rate of 26%. Genetic variation may be associated with varenicline response, but to date no genome-wide association studies of varenicline response have been published.
Methods: In this study, we investigated the genetic contribution to varenicline effectiveness using two electronic health record-derived phenotypes.
Comparison of clinical outcomes in patients with advanced pulmonary sarcomatoid carcinoma treated with immunotherapy-based regimens or chemotherapy: A study based on the SEER database and multicentric real-world settings.
J Cancer Res Ther
December 2024
Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, PR China.
Background: Pulmonary sarcomatoid carcinoma (PSC) is a rare lung cancer characterized by early metastasis and invasion. It is predominantly diagnosed at a locally advanced or metastatic stage, hindering the possibility of surgical intervention. However, a standard treatment for advanced PSC remains unestablished.
View Article and Find Full Text PDFDevelopment and Effects of a Smartphone Application to Improve Self-Management in Workers Who Underwent Thyroid Cancer Surgery.
Cancer Nurs
January 2025
Author Affiliations: Department of Nursing, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine (Dr Kim); and College of Nursing, Hanyang University (Dr Hwang), Seoul, Republic of Korea.
Background: Although the survival rate for thyroid cancer is high, a nursing intervention that enhances autonomous motivation is needed for patients with jobs to improve their long-term self-management abilities in the early postoperative period.
Objectives: This study aims to develop a mobile application (app) based on the Self-Determination Theory for patients returning to work after thyroid cancer surgery and to verify its effectiveness.
Methods: We developed an app to promote self-management and verify its effectiveness after 12 weeks in early outpatients who underwent thyroid cancer surgery through a randomized controlled trial design.
GraphkmerDTA: integrating local sequence patterns and topological information for drug-target binding affinity prediction and applications in multi-target anti-Alzheimer's drug discovery.
Mol Divers
January 2025
Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases Ministry of Education, Jiangxi Province Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. Despite the availability of various existing methods, there are still two limitations. Firstly, sequence-based methods often extract features from fixed length protein sequences, requiring truncation or padding, which can result in information loss or the introduction of unwanted noise.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!