Functional Validation Studies
Functional Validation Studies - Related Videos
05:33
How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
0 Views •
Cited by 23 •
2021
The dynamics between coupled brains of individuals have been increasingly represented by inter-brain synchronization (IBS) when they coordinate with each other, mostly using simultaneous-recording signals of brains (namely hyperscanning) with fNIRS. In fNIRS hyperscanning studies, IBS has been commonly assessed through the wavelet transform coherence (WTC) method because of its advantage on expanding time series into time-frequency space where oscillations can be seen in a highly intuitive way.
01:29
Reliability and Validity
0 Views •
2020
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. Unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. To illustrate this concept, consider a kitchen...
05:37
An R-Based Landscape Validation of a Competing Risk Model
0 Views •
Cited by 2 •
2022
The present protocol describes codes in R for evaluating the discrimination and calibration abilities of a competing risk model, as well as codes for the internal and external validation of it.
05:51
Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
0 Views •
2025
Wearable technology has low cost and offers convenient monitoring of physiological data. However, the accuracy and reliability of these devices require cautious assessment to ensure their effectiveness and safety for users. This report describes the validation process of a commercial smartwatch in monitoring physiological data and physical activity.
06:04
Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
0 Views •
2025
The protocol aims to provide a detailed description of the methodology for conducting an fNIRS hyperscanning study in psychological counseling. This includes the preparations for the experiment, the procedure for collecting data, and the subsequent data analysis process.
FAQs
The key distinction comes from testing whether changing or perturbing a candidate factor produces the predicted response, rather than merely observing that the factor correlates with disease or treatment status. Researchers compare the measured outcome with appropriate controls. A consistent response supports a causal biological role and strengthens interpretation of findings from genomics or biomarker research.
Perturbation provides the experimental test of whether the candidate factor has the expected function. Investigators alter the factor within a biological system and then measure defined responses relevant to the proposed mechanism. This approach links the factor to an observable effect, helping determine whether it is biologically active rather than only associated with a clinical or molecular pattern.
Controls establish whether an observed response is attributable to the candidate factor or to other conditions in the investigation. By comparing perturbed systems with suitable reference conditions, researchers can judge whether the measured effect matches the expected result. This comparison improves confidence that a finding reflects functional activity and supports more reliable conclusions about disease mechanisms or treatment responses.
A candidate factor may be examined at several biological levels because evidence from one setting may not fully represent another. Measurements in cells or tissues can provide functional information, while animal models or clinical samples extend evaluation into more complex or medically relevant contexts. Comparing these settings helps assess whether the observed activity remains consistent across biological systems.
A study generally begins by selecting a biological finding, molecular target, diagnostic marker, or therapeutic mechanism for testing. Researchers then perturb the candidate factor, define the expected response, measure that response in a selected biological system, and compare the results with appropriate controls. The resulting evidence is interpreted in relation to the original association or proposed mechanism.
They are useful when an association identified through genomics or biomarker research requires experimental support. Testing the candidate in cells, tissues, animal models, or clinical samples can show whether it produces the expected biological effect. This evidence helps separate promising causal candidates from findings that remain descriptive, supporting decisions about disease mechanisms, drug targets, or diagnostic development.
Functional validation can help confirm disease mechanisms, prioritize therapeutic targets, evaluate treatment responses, and assess whether diagnostic markers reflect relevant biological activity. By connecting molecular findings with measured effects in living systems or clinical samples, the studies provide evidence for developing more reliable diagnostics and for designing therapies that may be better matched to individual biological characteristics.