efficiently-recording-eye-hand-coordination-to-incoordination

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

The objective analysis of eye movements has a significant history and has been long proven to be an important research tool in the setting of brain ...

New York University Langone Health

This study introduces a rapid picture naming test, the Mobile Universal Lexicon Evaluation System (MULES), as a novel, vision-based performance measure for concussion screening. The MULES is a visual-verbal task that includes 54 original photographs of fruits, objects and animals. We piloted MULES in a cohort of volunteers to determine feasibility, ranges of picture naming responses, and the relation of MULES time scores to those of King-Devick (K-D), a rapid number naming test.

Mobile Universal Lexicon Evaluation System (MULES) test: A new measure of rapid picture naming for concussion.

Measures of rapid automatized naming (RAN) have been used for over 50 years to capture vision-based aspects of cognition. The Mobile Universal Lexicon Evaluation System (MULES) is a test of rapid picture naming under investigation for detection of concussion and other neurological disorders. MULES was designed as a series of 54 grouped color photographs (fruits, random objects, animals) that integrates saccades, color perception and contextual object identification. Recent changes to the MULES test have been made to improve ease of use on the athletic sidelines. Originally an 11 × 17-inch single-sided paper, the test has been reduced to a laminated 8.5 × 11-inch double-sided version. We identified performance changes associated with transition to the new, MULES, now sized for the sidelines, and examined MULES on the sideline for sports-related concussion.

The new Mobile Universal Lexicon Evaluation System (MULES): A test of rapid picture naming for concussion sized for the sidelines.

The Mobile Universal Lexicon Evaluation System (MULES) is a test of rapid picture naming that is under investigation for concussion. MULES captures an extensive visual network, including pathways for eye movements, color perception, memory and object recognition. The purpose of this study was to introduce the MULES to visual assessment of patients with MS, and to examine associations with other tests of afferent and efferent visual function.

John-Ross Rizzo

Dept. of Rehabilitation Med,
Dept. of Neurology

New York University Langone Health

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

John-Ross Rizzo

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Dept. of Rehabilitation Med,Dept. of Neurology

New York University Langone Health

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

Dept. of Rehabilitation Med,
Dept. of Neurology