Background: Sensorimotor difficulties significantly interfere with daily activities, and when undiagnosed in early life, they may increase the risk of later life cognitive and mental health disorders. Subtests from the Luria-Nebraska Neuropsychological Battery (LNNB) discriminate sen-sorimotor impairments predictive of sensorimotor dysfunction. However, scoring the LNNB sen-sorimotor assessment is highly subjective and time consuming, impeding the use of this task in epidemiologic studies. Aim: To train and validate a novel automated and image-derived scoring approach to the LNNB neuro-motor tasks for use in adolescents and young adults. Methods: We selected 46 adolescents (19.6 +/− 2.3 years, 48% male) enrolled in the prospective Public Health Impact of Metal Exposure (PHIME) study. We visually recorded the administration of five conventional sensorimotor LNNB tasks and developed automated scoring alternatives using a novel math-ematical approach combining optic flow fields from recorded image sequences on a frame-by-frame basis. We then compared the conventional and image-derived LNNB task scores using Pearson’s correlations. Finally, we provided the accuracy of the novel scoring approach with Receiver Oper-ating Characteristic (ROC) curves and the area under the ROC curves (AUC). Results: Image-de-rived LNNB task scores strongly correlated with conventional scores, which were assessed and con-firmed by multiple administrators to limit subjectivity (Pearson’s correlation ≥ 0.70). The novel im-age-derived scoring approach discriminated participants with low motility (<mean population lev-els) with a specificity ranging from 70% to 83%, with 70% sensitivity. Conclusions: The novel image-derived LNNB task scores may contribute to the timely assessment of sensorimotor abilities and delays, and may also be effectively used in telemedicine.

Original languageEnglish
Article number757
JournalBrain Sciences
Issue number6
StatePublished - Jun 2022


  • Luria neuromotor test
  • image-derived scoring
  • sensorimotor impairments


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