The Area under the Main Sequence as an Alternative Method to Measure Saccadic Dynamics
| Autor: | C. Busettini, Jennifer B. Christy |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Male
Sequence Models Statistical Function (mathematics) Stability (probability) Measure (mathematics) Article Saccadic masking Set (abstract data type) 03 medical and health sciences Ophthalmology 0302 clinical medicine Reference Values Saccade Saccades 030221 ophthalmology & optometry Range (statistics) Humans Female Algorithm 030217 neurology & neurosurgery Optometry Mathematics |
| Zdroj: | Optometry and Vision Science. 95:1004-1026 |
| ISSN: | 1538-9235 1040-5488 |
| Popis: | SIGNIFICANCE: This study shows that the area under the main sequence (MSAREA) is a valid alternative to the standard peak velocity main sequence in measuring saccadic dynamics. A 1-parameter area model, MSAREA = G(PW=1.55) × SACSIZE(1.55), with SACSIZE the size of the saccade, 1.55 a power factor, and G(PW=1.55) a gain parameter, is presented. PURPOSE: SACPEAK = V(max) × (1 – e(-SACSIZE/SAT)) is the traditional model used to describe the saccadic main sequence, the relationship between the size of the movement and its peak velocity (SACPEAK). In the previous paper, we have shown that there is a strong linear correlation between the two parameters V(max) and SAT, which severely affects the model’s clinical applicability. The purpose of this study is to see if, by using the area under the main sequence as an alternative approach, we can overcome the limitations of the traditional model. METHODS: Participants and main sequence data are the same of the previous study. A trapezoidal integration was used to estimate the area under the main sequences as a function of SACSIZE. RESULTS: A 2-parameter area model was computed to determine the range of variability of its parameters and R(2) values. These were then used as reference values in the search for 1-parameter alternatives. The 1-parameter model MSAREA = G(PW=1.55) × SACSIZE(1.55) performed well for all data sets. We tested its validity by performing a comparison with other 1-parameter area models. CONCLUSIONS: Area models are superior to peak velocity models in terms of R(2) and stability and can be reduced to robust 1-parameter expressions with only limited degradation in R(2). This greatly simplifies not only the determination if a set is inside or outside a reference population but also allows for direct comparisons between sets, with the saccadic dynamics expressed by a simple linear gain factor (G(PW=1.55)). |
| Databáze: | OpenAIRE |
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