Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Controls in Experiments01:13

Controls in Experiments

14.7K
When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
14.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

375
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
375
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.2K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.2K
Quality Control01:05

Quality Control

1.2K
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
1.2K
Ethics in Research01:56

Ethics in Research

25.3K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
25.3K
Methods for Controlling Microbial Growth01:29

Methods for Controlling Microbial Growth

1.4K
Microbial growth control refers to various methods employed to inhibit, reduce, or eliminate microorganisms to ensure safety and hygiene across different settings. These methods are categorized based on the target environment and the level of microbial control required.Biocides are versatile agents designed to control microorganisms by either inhibiting their growth or outright killing them. These agents work through various physical, chemical, mechanical, or biological mechanisms. The...
1.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

RETRACTION: Prediction of Arrhythmia Recurrence after Atrial Fibrillation Ablation in Patients with Normal Anatomy of the Left Atrium.

International journal of clinical practice·2025
Same journal

Clinical Outcomes Based on the Attainment of Low-Density Lipoprotein Cholesterol Targets in Patients with Acute Coronary Syndrome in Real-World Practice.

International journal of clinical practice·2025
Same journal

Knowledge and Awareness of Osteoporosis: A Survey of Physical Therapy Providers in Saudi Arabia.

International journal of clinical practice·2024
Same journal

Efficacy and Safety of Pericapsular Nerve Group Block for Hip Fracture Surgery under Spinal Anesthesia: A Meta-Analysis.

International journal of clinical practice·2024
Same journal

The Role of Pharmaceutical Innovation in Clinical Practice Guidelines for Chronic Diseases.

International journal of clinical practice·2024
Same journal

Blood Features Associated with Viral Infection Severity: An Experience from COVID-19-Pandemic Patients Hospitalized in the Center of Iran, Yazd.

International journal of clinical practice·2024

Related Experiment Video

Updated: Jan 6, 2026

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

4.3K

Why knowing healthy controls matters.

Adriana J Pavletic1

  • 1National Institute of Mental Health, Office of the Clinical Director, Bethesda, MD, USA.

International Journal of Clinical Practice
|October 2, 2019
PubMed
Summary

Rigorous screening of healthy volunteers in neuroscience research is crucial. Better participant characterization ensures higher quality study results and reliable data interpretation.

Area of Science:

  • Neuroscience
  • Clinical Research

Background:

  • Healthy volunteers are essential in neuroscience research, often serving as controls.
  • Current screening practices for healthy volunteers are often less rigorous than for patient populations.
  • This disparity can impact the validity and interpretation of research findings.

Purpose of the Study:

  • To highlight the critical importance of rigorous screening and characterization of healthy volunteers.
  • To emphasize the implications of inadequate screening on neuroscience research quality.
  • To advocate for improved standards in healthy volunteer assessment.

Main Methods:

  • Review of existing literature on participant screening in neuroscience.
  • Analysis of the impact of volunteer variability on study outcomes.
Keywords:
Healthy volunteerscharacterisationcontrolsneuroscience researchscreening

More Related Videos

Using Reference Reagents to Confirm Robustness of Cytokine Release Assays for the Prediction of Monoclonal Antibody Safety
06:37

Using Reference Reagents to Confirm Robustness of Cytokine Release Assays for the Prediction of Monoclonal Antibody Safety

Published on: September 15, 2023

1.0K
An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.8K

Related Experiment Videos

Last Updated: Jan 6, 2026

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

4.3K
Using Reference Reagents to Confirm Robustness of Cytokine Release Assays for the Prediction of Monoclonal Antibody Safety
06:37

Using Reference Reagents to Confirm Robustness of Cytokine Release Assays for the Prediction of Monoclonal Antibody Safety

Published on: September 15, 2023

1.0K
An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.8K
  • Discussion of best practices for healthy volunteer characterization.

    • Main Results:

    • Inconsistent screening of healthy volunteers is a recognized but under-discussed issue.
    • Suboptimal screening can introduce confounding variables into research.
    • Enhanced characterization improves the reliability of neuroscience data.

    Conclusions:

    • Implementing rigorous screening protocols for healthy volunteers is paramount for robust neuroscience research.
    • Standardized and thorough characterization enhances the interpretability and generalizability of study results.
    • Addressing this methodological gap is key to advancing the field of neuroscience.