| Bayesian adaptive estimation of the contrast sensitivity function: the quick CSF method. | |
| | |
MedLine Citation:
|
PMID: 20377294 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
The contrast sensitivity function (CSF) predicts functional vision better than acuity, but long testing times prevent its psychophysical assessment in clinical and practical applications. This study presents the quick CSF (qCSF) method, a Bayesian adaptive procedure that applies a strategy developed to estimate multiple parameters of the psychometric function (A. B. Cobo-Lewis, 1996; L. L. Kontsevich & C. W. Tyler, 1999). Before each trial, a one-step-ahead search finds the grating stimulus (defined by frequency and contrast) that maximizes the expected information gain (J. V. Kujala & T. J. Lukka, 2006; L. A. Lesmes et al., 2006), about four CSF parameters. By directly estimating CSF parameters, data collected at one spatial frequency improves sensitivity estimates across all frequencies. A psychophysical study validated that CSFs obtained with 100 qCSF trials ( approximately 10 min) exhibited good precision across spatial frequencies (SD < 2-3 dB) and excellent agreement with CSFs obtained independently (mean RMSE = 0.86 dB). To estimate the broad sensitivity metric provided by the area under the log CSF (AULCSF), only 25 trials were needed to achieve a coefficient of variation of 15-20%. The current study demonstrates the method's value for basic and clinical investigations. Further studies, applying the qCSF to measure wider ranges of normal and abnormal vision, will determine how its efficiency translates to clinical assessment. |
| | |
Authors:
|
Luis Andres Lesmes; Zhong-Lin Lu; Jongsoo Baek; Thomas D Albright |
Related Documents
:
|
19830704 - A robust method for comparing two treatments in a confirmatory clinical trial via multi... 19966934 - Heterotransplant mouse model cohorts of human malignancies: a novel platform for system... 9845254 - An investment appraisal approach to clinical trial design. 19621114 - Cdisc standard-based electronic archiving of clinical trials. 16640384 - Quantum-chemical predictions of redox potentials of organic anions in dimethyl sulfoxid... 20213834 - A physiologically based pharmacokinetic (pbpk) model for predicting the efficacy of dru... |
Publication Detail:
|
Type: Journal Article; Research Support, N.I.H., Extramural Date: 2010-03-30 |
Journal Detail:
|
Title: Journal of vision Volume: 10 ISSN: 1534-7362 ISO Abbreviation: J Vis Publication Date: 2010 |
Date Detail:
|
Created Date: 2010-04-09 Completed Date: 2010-07-12 Revised Date: 2011-09-22 |
Medline Journal Info:
|
Nlm Unique ID: 101147197 Medline TA: J Vis Country: United States |
Other Details:
|
Languages: eng Pagination: 17.1-21 Citation Subset: IM |
Affiliation:
|
Vision Center Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA. lu@salk.edu |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Adaptation, Physiological
/
physiology Bayes Theorem Contrast Sensitivity / physiology* Humans Models, Neurological* Orientation / physiology Photic Stimulation / methods Psychophysics / methods*, standards* Reproducibility of Results Sensory Thresholds / physiology* Software Visual Perception / physiology |
| Grant Support | |
ID/Acronym/Agency:
|
EY-007605/EY/NEI NIH HHS; EY017491/EY/NEI NIH HHS; F32 EY016660-01/EY/NEI NIH HHS; F32 EY016660-02/EY/NEI NIH HHS; F32 EY016660-03/EY/NEI NIH HHS; F32EY016660/EY/NEI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Looking away from faces: influence of high-level visual processes on saccade programming.
Next Document: Curvature coding is tuned for motion direction.