Reading and neuropsychological performance: Relationships in patients with mild-to-moderate TBI
Keith Main1, Salil Soman2, Emma Gregory1, Maxwell Rappoport3, Micaela Thordarson3, Jennifer Kong3, J. Wesson Ashford3,4, Stephanie Kolakowsky-Hayner5, Maheen Adamson1; 1Defense and Veterans Brain Injury Center, 2Harvard Medical School, 3War Related Illness and Injury Study Center, 4Stanford School of Medicine, 5Santa Clara Valley Medical Center
Background: A nontrivial minority of traumatic brain injury (TBI) patients experience post-concussive symptoms. Many find that their reading ability is impaired. To better understand the neurocognitive profile of TBI-related reading deficits, we evaluated reading and neuropsychological performance in a sample of TBI patients and neurologically healthy controls. Methods: Thirty-seven patients with mild-to-moderate TBI were recruited from the Santa Clara Valley Medical Center. Thirty neurologically healthy controls were recruited from the surrounding community. All participants completed the Repeatable Battery for Assessment of Neuropsychological Status (RBANS). Participant reading rates were quantified using the Pepper Visual Skills for Reading Test (VRST), the Test of Word Reading Efficiency (TOWRE), and the International Reading Speed Texts (IReST). Results: We conducted t-tests and correlations on the data using the RBANS and reading test scores. T-tests showed that controls had significantly better scores than TBI patients. Pearson’s correlations demonstrated that RBANS performance is correlated with reading rate. We conducted multiple linear regression analyses using the measures of reading rate (VSRT, TOWRE, IReST) as outcome variables and Age, Education, and the RBANS subtests as predictors. We found RBANS contributed variance to the model beyond Age and Education. Analysis of the sub-tests demonstrated the language and attention subtests were significant. Discussion: These results indicate that general cognitive slowing contributes to diminished reading fluency. Future work will attempt to connect these results to diffusion tensor imaging (DTI) data which quantifies the integrity of white matter pathways.
Topic Area: PERCEPTION & ACTION: Other