Lucy Cobbs1, Lisena Hasanaj2, Prin Amorapanth3, John-Ross Rizzo4, Rachel Nolan5, Liliana Serrano6, Jenelle Raynowska7, Janet C Rucker8, Barry D Jordan9, Steven L Galetta10, Laura J Balcer11. 1. Department of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: lucy.cobbs@nyumc.org. 2. Department of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: lisena.hasanaj@nyumc.org. 3. Department of Physical Medicine and Rehabilitation, New York University School of Medicine, New York, NY, USA. Electronic address: prin.amorapanth@nyumc.org. 4. Department of Physical Medicine and Rehabilitation, New York University School of Medicine, New York, NY, USA. Electronic address: johnross.rizzo@nyumc.org. 5. Department of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: rachel.nolan@nyumc.org. 6. Department of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: liliana.serrano2@nyumc.org. 7. Department of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: jenelle.raynowska@nyumc.org. 8. Department of Neurology, New York University School of Medicine, New York, NY, USA; Department of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: janet.rucker@nyumc.org. 9. Burke Rehabilitation Hospital, White Plains, NY, USA. Electronic address: bjordan@burke.org. 10. Department of Neurology, New York University School of Medicine, New York, NY, USA; Department of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: steven.galetta@nyumc.org. 11. Department of Neurology, New York University School of Medicine, New York, NY, USA; Department of Population Health, New York University School of Medicine, New York, NY, USA; Department of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: laura.balcer@nyumc.org.
Abstract
OBJECTIVE: 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. METHODS:A convenience sample (n=20, age 34±10) underwent MULES and K-D (spiral bound, iPad versions). Administration order was randomized; MULES tests were audio-recorded to provide objective data on temporal variability and ranges of picture naming responses. RESULTS: Scores for the best of two trials for all tests were 40-50s; average times required to name each MULES picture (0.72±0.14s) was greater than those needed for each K-D number ((spiral: 0.33±0.05s, iPad: 0.36±0.06s, 120 numbers), p<0.0001, paired t-test). MULES scores showed the greatest degree of improvement between trials (9.4±4.8s, p<0.0001 for trials 1 vs. 2), compared to K-D (spiral 1.5±3.3s, iPad 1.8±3.4s). Shorter MULES times demonstrated moderate and significant correlations with shorter iPad but not spiral K-D times (r=0.49, p=0.03). CONCLUSION: The MULES test is a rapid picture naming task that may engage more extensive neural systems than more commonly used rapid number naming tasks. Rapid picture naming may require additional processing devoted to color perception, object identification, and categorization. Both tests rely on initiation and sequencing of saccadic eye movements.
RCT Entities:
OBJECTIVE: 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. METHODS: A convenience sample (n=20, age 34±10) underwent MULES and K-D (spiral bound, iPad versions). Administration order was randomized; MULES tests were audio-recorded to provide objective data on temporal variability and ranges of picture naming responses. RESULTS: Scores for the best of two trials for all tests were 40-50s; average times required to name each MULES picture (0.72±0.14s) was greater than those needed for each K-D number ((spiral: 0.33±0.05s, iPad: 0.36±0.06s, 120 numbers), p<0.0001, paired t-test). MULES scores showed the greatest degree of improvement between trials (9.4±4.8s, p<0.0001 for trials 1 vs. 2), compared to K-D (spiral 1.5±3.3s, iPad 1.8±3.4s). Shorter MULES times demonstrated moderate and significant correlations with shorter iPad but not spiral K-D times (r=0.49, p=0.03). CONCLUSION: The MULES test is a rapid picture naming task that may engage more extensive neural systems than more commonly used rapid number naming tasks. Rapid picture naming may require additional processing devoted to color perception, object identification, and categorization. Both tests rely on initiation and sequencing of saccadic eye movements.
Authors: B L Plassman; R J Havlik; D C Steffens; M J Helms; T N Newman; D Drosdick; C Phillips; B A Gau; K A Welsh-Bohmer; J R Burke; J M Guralnik; J C Breitner Journal: Neurology Date: 2000-10-24 Impact factor: 9.910
Authors: Johna K Register-Mihalik; Kevin M Guskiewicz; Tamara C Valovich McLeod; Laura A Linnan; Frederick O Mueller; Stephen W Marshall Journal: J Athl Train Date: 2013-07-12 Impact factor: 2.860
Authors: Omar Akhand; Matthew S Galetta; Lucy Cobbs; Lisena Hasanaj; Nikki Webb; Julia Drattell; Prin Amorapanth; John-Ross Rizzo; Rachel Nolan; Liliana Serrano; Janet C Rucker; Dennis Cardone; Barry D Jordan; Arlene Silverio; Steven L Galetta; Laura J Balcer Journal: J Neurol Sci Date: 2018-02-22 Impact factor: 3.181
Authors: Clotilde Hainline; John-Ross Rizzo; Todd E Hudson; Weiwei Dai; Joel Birkemeier; Jenelle Raynowska; Rachel C Nolan; Lisena Hasanaj; Ivan Selesnick; Teresa C Frohman; Elliot M Frohman; Steven L Galetta; Laura J Balcer; Janet C Rucker Journal: J Neurol Date: 2017-04-07 Impact factor: 4.849
Authors: John-Ross Rizzo; Maryam Hosseini; Eric A Wong; Wayne E Mackey; James K Fung; Edmond Ahdoot; Janet C Rucker; Preeti Raghavan; Michael S Landy; Todd E Hudson Journal: Front Neurol Date: 2017-06-01 Impact factor: 4.003