Adding Vision to Concussion Testing: A Prospective Study of Sideline Testing in Youth and Collegiate Athletes : Journal of Neuro-Ophthalmology

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Adding Vision to Concussion Testing

A Prospective Study of Sideline Testing in Youth and Collegiate Athletes

Galetta, Kristin M. MS; Morganroth, Jennifer BA; Moehringer, Nicholas; Mueller, Bridget PhD; Hasanaj, Lisena BA; Webb, Nikki MS, ATC; Civitano, Courtney MS, ATC; Cardone, Dennis A. DO; Silverio, Arlene MD; Galetta, Steven L. MD; Balcer, Laura J. MD, MSCE

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Journal of Neuro-Ophthalmology: September 2015 - Volume 35 - Issue 3 - p 235-241
doi: 10.1097/WNO.0000000000000226
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Concussion results from an impulsive blow to the body or head and produces functional injury to the brain. Consequences include a variety of neurological symptoms, including many related to vision (1–7). Recent data show that both high school and collegiate athletes underreport concussion symptoms and sequelae (3, 4). The frequent lack of overt signs of concussion, along with pressures to return to play, makes certain athletes more vulnerable to competing with a brain injury. The development of rapid objective screening tools for concussion diagnosis may remove some of the guesswork required when relying solely on symptoms reported by the athlete.

A number of sideline assessments have been identified to distinguish athletes with concussion after acute injury. The Standardized Assessment of Concussion (SAC) (8, 9) and the Balance Error Scoring System (BESS) are commonly used at the collegiate level (10, 11). The Sport Concussion Assessment Tool, 3rd Edition (SCAT3) combines both cognitive and balance testing, including the SAC and a modified BESS or timed tandem gait test (11, 12). Child-SCAT3, a battery similar to SCAT3, is recommended for use of athletes younger than 13 years and is under investigation. The combination of SAC and BESS (cognitive and balance testing) has been used to help diagnose concussion on the sidelines in collegiate cohorts (12). However, this composite of tests lacks a vision-based performance measure.

Because approximately 50% of the brain's circuits are dedicated to vision, the ability to test these pathways may increase our ability to detect concussion after acute injury (2, 13). A study of collegiate athletes suggests that adding a vision-based test of rapid number naming to the SAC and BESS allows for identification of most or all concussions (14). The King–Devick (K-D) test requires intact saccades and other eye movements to perform quickly; literature to date on the K-D test has shown worsening of time scores from a preseason/competition baseline in 60+ concussed athletes (15, 16). Given its simplicity (timed rapid number naming), rapid administration (<1 minute in collegiate athletes), and high test–retest reliability (ICC = 0.96–0.97) (16, 17), the K-D test can be used by nonmedical personnel, including parents—frequently the only adults present on the sidelines for youth sports (18). Having a preseason baseline score for each athlete available in the event of a concussion adds to the simplicity of the K-D test; based on studies in multiple athlete cohorts to date, any worsening (slowing) of the time score from baseline should raise concern (14–16,18–22).

The purpose of this investigation was to examine the vision-based K-D test as a complement to the current SCAT3/Child-SCAT3 measures of cognition (SAC) and balance (timed tandem gait) for sideline diagnosis of concussion. This study is novel in testing in our youngest groups of athletes (youth aged 5–17 years) and in using nonconcussed control athletes as a direct comparison to testing in those with head injury. Because the K-D, SAC, and timed tandem gait are performance measures, we also sought to determine how increasing age may play a role in the time and accuracy for completion of these tests among youth athletes.


Study Participants

Study protocols were approved by the Institutional Review Board at the New York University School of Medicine; informed consent and child assent were obtained as appropriate from all participants. Youth and collegiate athletes in this prospective study included participants from the Pelham Youth Hockey Association, NYU Collegiate Athletics, Long Island University (LIU), Pelham Union School District and Pelham Youth Lacrosse. Athletes were aged 5 years and older; boys and girls along with men and women were included. K-D, SAC, and timed tandem gait tests were performed at a preseason baseline as part of this study. Those who sustained a concussion had testing repeated on the sidelines/rink-side as soon as medically feasible. Control athletes playing a similar position who were also consented/assented for the study underwent testing under the same conditions as the concussed athlete. Controls were in place to examine the potential role for fatigue or other factors related to play/practice on test scores in the absence of concussion. Previous studies of the K-D test have demonstrated that vigorous exercise/scrimmage alone is associated with improvements in scores, consistent with learning effects inherent in performance measures in the absence of injury (15, 17).

King–Devick Test

K-D is a test of rapid number naming that takes <1 minute to administer in collegiate athletes; times are slightly longer (<2 minutes) in younger athletes. The test consists of 3 cards with variably spaced single digit numbers (Fig. 1). Participants are asked to read each card as quickly as possible; the time to read each card is recorded. Times for all 3 cards are summed to give a total time score (15, 16,19–22). Higher testing times compared with baseline indicate worsening of performance. Worsening scores are not observed after competition/fatigue alone (15); healthy athletes typically show improvement with exercise (15, 17). Because shorter times are expected in nonconcussed athletes, any worsening of K-D scores from baseline is consistent with concussion. In previous studies investigating the utility of the K-D test, baseline examinations were performed in a noisy hot locker room, and we found no difference in inter- or intra-rater reliability (15). Although these examinations were not performed during game time, they were performed under uncomfortable circumstances. In this study, baseline examinations of the K-D test were also administered for 2 trials to obtain the best possible baseline score.

FIG. 1:
Demonstration and test cards for the King–Devick (K–D) test, a candidate rapid sideline screening for concussion based on speed of rapid number naming. To perform the K-D test, participants are asked to read the numbers on each card from left to right as quickly as possible but without making any errors. After completion of the demonstration card (upper left), subjects are then asked to read each of the 3 test cards in the same manner. The times required to complete each card are recorded in seconds using a stopwatch. The sum of the 3 test card time scores constitutes the summary score for the entire test, the K-D time score. Numbers of errors made in reading the test cards are also recorded; misspeaks on numbers are recorded as errors only if the subject does not immediately correct the mistake before going on to the next number.

Standardized Assessment of Concussion

The SAC is a brief cognitive test. A maximum total score of 30 is generated by adding the 4 subscores: Orientation (maximum score = 5), Immediate Memory (maximum score = 15), Concentration (maximum score = 5), and Delayed Recall (maximum = 5). Recent evidence-based guidelines suggested that a worsening of 2–4 points from baseline is a sensitive threshold for clinically meaningful change for SAC (12). We used this threshold as a dichotomous criterion for worsening of the SAC.

Timed Tandem Gait Test

The timed tandem gait is a balance component of the SCAT3 and Child-SCAT3. To perform this test, the participant is instructed to walk along a 38-mm wide, 3-m long sports tape. Athletes place 1 foot in front of the other along the line as quickly and accurately as possible. The best time of 4 trials back and forth along the tape is recorded as the official score. Studies show that dynamic balance and coordination tests, such as timed tandem gait, are less impacted by exercise fatigue than are static balance tasks, such as the BESS (23). Resiliency of dynamic balance testing was reinforced by a study showing that high-intensity exercise decreased performance of both static and dynamic balance testing; timed tandem gait, however, was unaffected by moderate exercise (20).

Testing Procedures

Baseline preseason assessments for the sideline tests (K-D, SAC, and timed tandem gait) were performed preseason before practices started. Tests for these sessions were administered by trained study volunteers or by athletic trainers in the case of collegiate athletes. NYU study personnel were present and performed training of testers for baseline assessments. Components of SCAT3 are performed routinely as part of athletic training for collegiate athletes; in the youth athletes, these tests were performed for research purposes as part of this study.

Concussion was defined using the standard definition of witnessed or reported impulse blow to the head or body followed by any neurological symptom(s). Judgments about whether a concussion had occurred were made by athletic trainers for collegiate cohorts. For youth athletes, the judgments of volunteer parents specifically assigned to assess injured athletes at each game/practice were used. For athletes without witnessed trauma who presented later with symptoms consistent with concussion, testing was performed as soon as possible after the athlete self-report. The diagnosis of concussion was confirmed in all cases by an expert physician.

Statistical Analyses

Statistical analyses were performed using Stata 13.0 (StataCorp, College Station, TX). The Wilcoxon signed-rank test was performed to determine changes in scores from baseline to postinjury. Linear regression models, accounting for age, were used to examine associations of baseline K-D scores to scores for SAC and balance testing. The capacity for each of the tests to distinguish concussed vs nonconcussed control athletes immediately after injury (concussed athlete) was determined by logistic regression models, accounting for age, with calculation of areas under the receiver operating characteristic (ROC) curves. ROC curve areas represent the probability that a test or combination of tests can distinguish concussed athletes vs controls and range from 0.5 (probability no better than chance) to 1.0 (perfect ability to distinguish). Comparisons of the logistic regression-derived ROC curve areas were made for combinations of the 3 tests (K-D, SAC total score, and balance testing) using linear combination methods.


Preseason baseline and postinjury test scores are reported in Table 1. There were 243 youth athletes, aged 11 ± 3 (range 5–17 years, 16% female) and 89 collegiate, aged 20 ± 1 (range 18–23 years, 26% female), for a total of 332 participants. Baseline scores for all tests (Table 1) improved with increasing age in this combined cohort (P < 0.001, linear regression models); this age effect was particularly evident for K-D card 3, where vertical crowding of the test numbers is the greatest (P < 0.001 for card 3 vs card 1, linear regression; Fig. 2).

Test scores at preseason baseline and differences from baseline to sideline testing
FIG. 2:
Relation of athlete age and time score to each of 3 King–Devick (K–D) test card scores in the cohort of youth athletes (aged 5–17 years). Lines represent fitted values from linear prediction models of athlete age vs K-D time score. Note that K-D card 3, which has the greatest degree of vertical crowding, had the greatest magnitude of correlation of age with time score. For every year of age decrease in this youth cohort, K-D scores for card 3 increased by an average of 2.9 seconds (P < 0.001, linear regression models) vs 1.6–1.8 seconds for cards 1 and 2.

Twelve athletes sustained a concussion during their athletic season. Fourteen control athletes without concussion, matched by youth or collegiate level, were evaluated after competition/practice. For players who had a concussion, changes in scores from baseline were significant for both the K-D test (P = 0.002) and the timed tandem gait (P = 0.02, Wilcoxon signed-rank test, Table 1). Among concussed athletes, K-D worsened from baseline by an average of 5.2 seconds vs improvement by 6.4 seconds for nonconcussed control athletes.

In terms of continuous test scores, K-D showed the greatest capacity to distinguish concussed vs control groups based on changes from preseason baseline ROC curve areas from logistic regression models, accounting for age were K-D = 0.92, timed tandem gait = 0.87, and SAC = 0.68 (P = 0.0004 for comparison of ROC curve areas, Fig. 3A). A composite of tests including SAC, timed tandem gait, and K-D together (ROC curve area = 0.97) was a greater discriminator of concussed vs control athlete groups than was the combination of SAC and timed tandem gait as used in the SCAT3/Child-SCAT3 (ROC curve area, 0.88, Fig. 3B). The combination of timed tandem gait and K-D (ROC curve area = 0.98) was nearly identical to the composite of 3 tests (ROC area = 0.97). This means that athletic trainers had a 92% probability of correctly distinguishing a concussed vs nonconcussed athlete based on the result of the K-D test alone.

FIG. 3:
Comparisons of receiver operating characteristic (ROC) curve areas for (A) the 3 sideline tests individually (K-D vs SAC vs timed tandem gait) and for (B) the combinations of SAC + timed tandem gait (as included in the SCAT3/Child-SCAT3) vs K-D + SAC + timed tandem walk for distinguishing concussed vs nonconcussed control athletes on the sideline. ROC curve areas represent the probability that a test or combination can correctly distinguish between 2 categories (concussed vs nonconcussed control). The ROC curves below are from logistic regression models, accounting for age. Areas were compared using linear combination methods after logistic regression and generation of ROC curves. K-D, King–Devick test; ROC, receiver operating characteristic; SAC, Standardized Assessment of Concussion.

When the test scores were analyzed using published cutoffs for worsening from baseline in the setting of concussion, the SAC showed a 2 point or more worsening (12) in 2/10 concussed players (20%) and 3/14 controls (21%). The timed tandem gait showed worsening in 10/12 concussed players (83%) and 5/14 controls (36%). K-D times demonstrating worsening in 9/12 (75%) concussed players and 1/14 controls (7%).


Results of this investigation demonstrate that adding a rapid simple vision-based performance measure to cognitive and balance tests enhances the detection capabilities of current sideline assessments for concussion. Because rapid number naming captures visual function, K-D is a useful tool to aid in the diagnosis of concussed athletes at all levels of sport (14–16,19–22). Use of a measure that requires saccadic eye movements is particularly effective for several reasons. Studies have shown that patients with impaired saccades postconcussion have both cortical and subcortical deficits. These deficits correlate with worse scores for quality of life assessments (24). Saccadic eye movements require relay of information throughout the brain, including frontal eye fields, supplementary eye fields, dorsolateral prefrontal cortex, intraparietal sulcus, and deeper structures of the brainstem (25–27). Eye movement testing enables the analysis of a number of circuits throughout the brain including visual–spatial integration, motor planning, attention, motivation, and spatial organization (26). The wide distribution of neuronal networks required for saccades thus makes a vision-based sideline screening test particularly effective.

The K-D test has been successful in identifying concussion in boxers and Mixed Martial Arts fighters. In those studies, worse K-D scores were associated with lower scores for the Military Acute Concussion Evaluation, a brief cognitive test, both postfight (rs = −0.79, P = 0.0001) and regarding changes from prefight baseline (rs = 0.90, P < 0.0001) (19). Worsening of K-D times was associated with worsening SAC immediate memory scores (P < 0.001, R2 = 0.62) (16). Studies have shown that K-D scores correlate with Immediate Post-Concussion Assessment and Cognitive Testing (IMPACT) subscores that are visual in nature (14, 17, 28). As an added benefit, the K-D test can accurately and easily be performed by non-medically trained observers, including parents of youth athletes (18).

Another factor that adds to the simplicity and relevance of the K-D test in youth athletes is the use of preseason baseline scores. Baseline scores obviate the need for parents or others on the sidelines to determine normative values in the acute setting of an injury. Furthermore, as shown in this study, K-D time scores decrease (improve) with advancing age of youth athletes. Although these factors make determination of new baseline scores essential at the start of each athletic season, the use of baseline scores eases interpretation when time is of the essence. Using modern definitions, a concussion should be suspected when an athlete has 1) an impulse blow to the head or body and 2) any new neurological symptom. Tests such as K-D, therefore, are used to remove some of the guesswork from this process and should not substitute for clinical or parental judgment that a concussion has occurred.

In our youth athlete cohort, worse scores were noted among younger players for all sideline tests. K-D time scores in particular were significantly slower for younger players (P < 0.001). This association with age and improved overall K-D scores (faster times) could be explained by developmental changes in saccadic eye movements and cognition. Diffusion tensor imaging MRI studies have shown that both white matter and gray matter changes continue in the frontal lobes throughout childhood (29). Eye movement tasks, which require frontal lobe circuits, begin to reach stabilization around adolescence, in concert with other developmental changes in the brain (29).

Saccades have been described by their components: peak velocity, latency, and accuracy. Although changes in velocity of saccadic eye movements with age have been inconsistently described, saccadic latency decreases throughout childhood. Changes in accuracy also stabilize with age (29). Age-related changes in saccade latency and accuracy may extend beyond the ocular motor system and may reflect changes in cognitive processing (29). The K-D test, which requires saccadic eye movements with a superimposed cognitive task, may also be impacted by the normal developmental changes of the brain with age and that may explain the improved times we observed with increasing age.

Performance on test card 3 with the greatest degree of vertical visual crowding had the most variability in terms of testing times. Scores on this card improved with older age within the cohort of athletes younger than 18 years (Fig. 2, P < 0.001, linear regression). It is suspected that the effect on this specific card may also be secondary to visual crowding, an age-dependent ability to visualize objects among clutter (30).

Future studies of the K-D test will explore the possibility of age-related norms. In this study, baseline scores for collegiate athletes averaged 38.4 seconds, very similar to collegiate athlete scores in previous studies (average 37.0 seconds, range 36.0–40.2 seconds) (15). Reference ranges for baseline scores in children are under development; these are likely to correlate with age as suggested by our results and by literature suggesting an impact of the changing brain on measures of saccadic eye movement performance (30). Studies are also ongoing to examine the eye movement dynamics and correlates of K-D test performance using formal eye movement recordings. These investigations will determine how prolonged K-D test times may relate to transient slowing of saccades, saccadic inaccuracy, increased latency, or a combination of these factors. The potential role for antisaccades in eye movement-related tasks after concussion will also be examined.

To our knowledge, this is the first investigation to examine the use of timed tandem gait in children. Our data show that the timed tandem gait is a potentially useful tool in the assessment of concussions in youth athletes. In terms of sensitivity in our cohort, the timed tandem gait fell only slightly behind the K-D test as a diagnostic tool. Further investigation will determine test–retest reliability. In this cohort, we did not find SAC testing to be helpful in distinguishing the concussed athlete. A previous study of the SAC in a pediatric cohort presenting to the emergency department for concussion also did not find a significant difference in scores vs nonconcussed controls (31). Baseline SAC scores in youth populations can be very low, as observed in our study, making it difficult to find a decrement in SAC scores after concussion in certain athletes. Similar to the timed tandem gait, SAC testing requires further validation in youth population.


1. McCrory P, Meeuwisse W, Johnston K, Dvorak J, Aubry M, Molloy M, Cantu R. Consensus statement on concussion in sport: the 3rd International Conference on Concussion in Sport held in Zurich, November 2008. J Athl Train. 2009;44:434–448.
2. Ventura RE, Balcer LJ, Galetta SL. The neuro-ophthalmology of head trauma. Lancet Neurol. 2014;13:1006–1016.
3. Register-Mihalik JK, Guskiewicz KM, McLeod TCV, Linnan LA, Mueller FO, Marshall SW. Knowledge, attitude, and concussion-reporting behaviors among high school athletes: a preliminary study. J Athl Train. 2013;48:645–653.
4. Torres DM, Galetta KM, Phillips HW, Dziemianowicz MS, Wilson JA, Dorman ES, Laudano E, Galetta SL, Balcer LJ. Sports-related concussion: anonymous survey of a collegiate cohort. Neurol Clin Pract. 2013;3:279–287.
5. McKee AC, Stern RA, Nowinski CJ, Stein TD, Alvarez VE, Daneshvar DH, Lee HS, Wojtowicz SM, Hall G, Baugh CM, Riley DO, Kubilus CA, Cormier KA, Jacobs MA, Martin BR, Abraham CR, Ikezu T, Reichard RR, Wolozin BL, Budson AE, Goldstein LE, Kowall NW, Cantu RC. The spectrum of disease in chronic traumatic encephalopathy. Brain. 2013;136:43–64.
6. Guskiewicz KM, Marshall SW, Bailes J, McCrea M, Harding HP, Matthews A, Mihalik JR, Cantu RC. Recurrent concussion and risk of depression in retired professional football players. Med Sci Sports Exerc. 2007;39:903–909.
7. Guskiewicz KM, McCrea M, Marshall SW, Cantu RC, Randolph C, Barr W, Onate JA, Kelly JP. Cumulative effects associated with recurrent concussion in collegiate football players: the NCAA Concussion Study. JAMA. 2003;20:2549–2555.
8. McCrory P, Meeuwisse WH, Aubry M, Cantu B, Dvorak J, Echemendia R, Engebretsen L, Johnston K, Kutcher J, Raftery M, Sills A, Benson B, Davis G, Ellenbogen R, Guskiewicz K, Herring SA, Iverson G, Jordan B, Kissick J, McCrea M, McIntosh A, Maddocks D, Makdissi M, Purcell L, Putukian M, Schneider K, Tator C, Turner M. Consensus statement on concussion in sport: the 4th International Conference on Concussion in Sport held in Zurich, November 2012. J Athl Train. 2013;48:554–575.
9. McCrea M, Kelly JP, Kluge J, Ackley B, Randolph C. Standardized assessment of concussion in football players. Neurology. 1997;48:586–588.
10. Riemann BL, Guskiewicz KM. Effects of mild head injury on postural stability as measured through clinical balance testing. J Athl Train. 2000;35:19–25.
11. Furman GR, Lin CC, Bellanca JL, Marchetti GF, Collins MW, Whitney SL. Comparison of the balance accelerometer measure and balance error scoring system in adolescent concussions in sports. Am J Sports Med. 2013;41:1404–1410.
12. Guskiewicz KM, Register-Mihalik J, McCrory P, McCrea M, Johnston K, Makdissi M, Dvorak J, Davis G, Meeuwisse W. Evidence-based approach to revising the SCAT2: introducing the SCAT3. Br J Sports Med. 2013;47:289–293.
13. Felleman DJ, Van Essen DC. Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex. 1991;1:1–47.
14. Marinides Z, Galetta KM, Andrews CN, Wilson JA, Herman DC, Robinson CD, Smith MS, Bentley BC, Galetta SL, Balcer LJ, Clugston JR. Vision testing is additive to the sideline assessment of sports-related concussion. Neurol Clin Pract. In press.
15. Galetta KM, Brandes LE, Maki K, Dziemianowicz MS, Laudano E, Allen M, Lawler K, Sennett B, Wiebe D, Devick S, Messner LV, Galetta SL, Balcer LJ. The King-Devick test and sports-related concussion: study of a rapid visual screening tool in a collegiate cohort. J Neurol Sci. 2011;309:34–39.
16. Galetta MS, Galetta KM, McCrossin J, Wilson JA, Moster S, Galetta SL, Balcer LJ, Dorshimer GW, Master CL. Saccades and memory: baseline associations of the King-Devick and SCAT2 SAC tests in professional ice hockey players. J Neurol Sci. 2013;328:28–31.
17. Munce TA, Dorman JC, Odney TO, Thompson PA, Valentine VD, Bergeron MF. Effects of youth football on selected clinical measures of neurologic function: a pilot study. J Child Neurol. 2014;29:1601–1607.
18. Leong DF, Balcer LJ, Galetta SL, Liu Z, Master CL. The King-Devick test as a concussion screening tool administered by sports parents. J Sports Med Phys Fitness. 2014;54:70–77.
19. Galetta KM, Barrett J, Allen M, Madda F, Delicata D, Tennant AT, Branas CC, Maguire MG, Messner LV, Devick S, Galetta SL, Balcer LJ. The King-Devick test as a determinant of head trauma and concussion in boxers and MMA fighters. Neurology. 2011;76:1456–1462.
20. King D, Brughelli M, Hume P, Gissane C. Assessment, management and knowledge of sport-related concussion: systematic review. Sports Med. 2014;44:449–471.
21. King D, Brughelli M, Hume P, Gissane C. Concussions in amateur rugby union identified with the use of a rapid visual screening tool. J Neurol Sci. 2013;326:59–63.
22. King D, Clark T, Gissane C. Use of a rapid visual screening tool for the assessment of concussion in amateur rugby league: a pilot study. J Neurol Sci. 2012;320:16–21.
23. Schneiders AG, Sullivan SJ, Handcock P, Gray A, McCrory PR. Sports concussion assessment: the effect of exercise on dynamic and static balance. Scand J Med Sci Sports. 2012;22:85–90.
24. Heitger MH, Jones RD, Macleod AD, Snell DL, Frampton CM, Anderson TJ. Impaired eye movements in post-concussion syndrome indicate suboptimal brain function beyond the influence of depression, malingering or intellectual ability. Brain. 2009;132:2850–2870.
25. Fukushima K, Fukushima J, Warabi T, Barnes GR. Cognitive processes involved in smooth pursuit eye movements: behavioral evidence, neural substrate and clinical correlation. Front Syst Neurosci. 2013;7:4.
26. DeSouza JFX, Menon RS, Everling S. Preparatory set associated with pro-saccades and anti-saccades in humans investigated with event-related FMRI. J Neurophysiol. 2003;89:16–1023.
27. Pierrot-Deseilligny C, Milea D, Müri RM. Eye movement control by the cerebral cortex. Curr Opin Neurol. 2004;17:17–25.
28. Tjarks BJ, Dorman JC, Valentine VD, Munce TA, Thompson PA, Kindt SL, Bergeron MF. Comparison and utility of King-Devick and ImPACT composite scores in adolescent concussion patients. J Neurol Sci. 2013;334:148–153.
29. Luna B, Velanova K, Geier CF. Development of eye-movement control. Brain Cogn. 2008;68:293–308.
30. Jeon ST, Hamid J, Maurer D, Lewis TL. Developmental changes during childhood in single-letter acuity and its crowding by surrounding contours. J Exp Child Psychol. 2010;107:423–437.
31. Grubenhoff JA, Kirkwood M, Gao D, Deakyne S, Wathen J. Evaluation of the standardized assessment of concussion in a pediatric emergency department. Pediatrics. 2010;126:688–695.
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