The reproducibility of the results from preclinical research rests on many factors, including the selection of appropriate experimental designs for the individual experiments that constitute the investigation. The design of each of these experiments depends on their purpose within the entire investigation and the information to be gained from conducting them. Here, we explain and justify a three-stage strategy comprising a series of different types of experiment, each with a different purpose and design: a pilot study, a hypothesis-generating experiment and a final hypothesis-confirming experiment. Compliance with this three-stage strategy, over the course of an entire investigation, will not only strengthen its reproducibility but, importantly, can save time and other resources, including the total number of animals used.
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http://dx.doi.org/10.1177/02698811251319453 | DOI Listing |
J Psychopharmacol
March 2025
British Pharmacology Society, The Schild Plot, London, UK.
The reproducibility of the results from preclinical research rests on many factors, including the selection of appropriate experimental designs for the individual experiments that constitute the investigation. The design of each of these experiments depends on their purpose within the entire investigation and the information to be gained from conducting them. Here, we explain and justify a three-stage strategy comprising a series of different types of experiment, each with a different purpose and design: a pilot study, a hypothesis-generating experiment and a final hypothesis-confirming experiment.
View Article and Find Full Text PDFBMJ Open
March 2025
Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
Background: There is increasing demand for knee and hip arthroplasty with considerable health system cost implications. Despite the high surgical costs relating to the prosthesis used, little is known about which factors are most influential in prosthesis choice, nor is it clear what level of variation may be warranted for clinical reasons.
Objectives: This study had dual objectives: (1) identify factors influencing prosthesis selection for total hip arthroplasty (THA) and total knee arthroplasty (TKA) and (2) develop a working definition for unwarranted variation in THA and TKA implant selection.
Brain Topogr
March 2025
School of Automation Science and Engineering, South China University of Technology, & Pazhou Laboratory, Guangzhou, China.
Electroencephalographic (EEG) oscillations occur across a wide range of spatial and spectral scales, and analysis of neural rhythmic variability have attracted recent attention as markers of development, intelligence, cognitive states and neural disorders. Nonnegative matrix factorization (NMF) has been successfully applied to multi-subject electroencephalography (EEG) spectral analysis. However, existing group NMF methods have not explicitly optimized the individual-level EEG components derived from group-level components.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2024
Invasive brain-computer interfaces (iBCI) can record multiple neural signals with the highest temporal and spatial resolution. However, the number of available neural units decreases with the increase in implantation time, which affects the stability of the iBCI system's control. Meanwhile, most current studies utilize a population of neural units to decode a single instruction, which limits the ability to decode multi-tasks simultaneously in complex scenarios.
View Article and Find Full Text PDFIEEE Trans Med Imaging
January 2025
Segment Anything Model (SAM) fine-tuning has shown remarkable performance in medical image segmentation in a fully supervised manner, but requires precise annotations. To reduce the annotation cost and maintain satisfactory performance, in this work, we leverage the capabilities of SAM for establishing semi-supervised medical image segmentation models. Rethinking the requirements of effectiveness, efficiency, and compatibility, we propose a three-stage framework, i.
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