NeuroTrax Science Team and Glen M. Doniger, PhD
It is challenging for neuropsychologists to keep up with rising demand for comprehensive neuropsychological evaluations, especially with the unprecedented growth in the aging population. Indeed, traditional testing remains highly resource-intensive, creating long waitlists for patients. Paper-and-pencil batteries require hours of direct clinician administration and extensive manual scoring, which may delay report turnaround and subsequent treatment planning. Integrating validated digital neuropsychological assessments like NeuroTrax offers a path to improve clinical workflows by providing rapid standardized point-of-care digital neurometrics (1,2).
NeuroTrax does not require direct clinician administration. It is designed for ease of use and may be supervised by office staff, nurses, or technicians. In a large usability study of more than 2,800 patients, 83% rated NeuroTrax “easy to use,” including older adults over age 75 with no prior computer experience and those with significant cognitive impairment, confirming its usability and acceptability in routine clinical care (2).
Test administration by a trained technician frees the neuropsychologist to focus precious time on clinical interviews, complex case formulation, diagnostic reasoning, and treatment recommendations. This allows practices to increase assessment capacity and leverage the neuropsychologist’s expertise for activities that provide the greatest clinical value.
Notably, digital multi-domain batteries are designed to serve as precision tools for objective screening and longitudinal monitoring rather than diagnosis. The digital output does not replace clinical judgment. Objective neurometrics are most beneficial when integrated by a neuropsychologist with information on comorbidities, effort, functional status, behavioral observations, and patient history to render a clinical interpretation (3).
In highly complex or ambiguous cases, the neuropsychologist may use supplementary neuropsychological testing for deep-dive or targeted follow-up evaluations. Indeed, primary care providers and neurologists may use NeuroTrax to identify cognitive changes early and refer complex or ambiguous cases to neuropsychologists for a more extensive workup. This focuses the referral pipeline so that specialist resources are available for patients who need them most (2–4).
Unlike hours-long traditional batteries that contribute to patient fatigue, the full NeuroTrax battery takes 45-60 minutes and delivers a detailed profile across seven core domains: memory, executive function, attention, processing speed, visual spatial ability, verbal function, and motor skills. The secure, web-enabled platform automatically and immediately calculates scores by comparison with a large, co-normed database, adjusting for age and education; manual lookup tables are not required. A comprehensive, color-coded clinical report with longitudinal graphs is generated seconds after battery completion, facilitating prompt review and treatment planning (1–3).
Digital delivery mitigates examiner subjectivity and standardization drift, including subtle variations in vocal tone, pacing, instructions, and stimulus presentation. NeuroTrax also captures response times on a millisecond scale, revealing subtle processing delays or performance lapses that untimed, accuracy-focused traditional tests may miss. Many NeuroTrax tests are adaptive, adjusting task difficulty for patient performance level, thus keeping the test challenging and minimizing ceiling effects (1,5,6).
Scientific support for NeuroTrax comes from more than two decades of peer-reviewed research demonstrating its psychometric foundation. Alternate test forms reduce practice effects with repeated testing. In US Navy divers, alternate-form reliability correlations for the NeuroTrax global score were 0.89–0.92, demonstrating stability (7,8).
Studies comparing NeuroTrax digital neurometrics with traditional gold-standard tests show good correlations for tests of corresponding cognitive domains, for example: NeuroTrax Non-Verbal Memory with the Brief Visuospatial Memory Test-Revised (r = 0.84), NeuroTrax Go-NoGo response time variability with the Trail Making Test Part B (r = 0.74), and NeuroTrax Verbal Memory with the Hopkins Verbal Learning Test (r = 0.72) (9).
By incorporating digital neurometrics into their assessment pathway, neuropsychologists can serve more patients, accelerate the assessment cycle, optimize referral pathways, and devote more of their time to complex interpretation and individualized care.
References
[1] Dwolatzky, T., Whitehead, V., Doniger, G.M., Simon, E.S., Schweiger, A., Jaffe, D., and Chertkow, H. (2003). Validity of a novel computerized cognitive battery for mild cognitive impairment. BMC Geriatrics, 3:4. DOI: 10.1186/1471-2318-3-4
[2] Fillit, H.M., Simon, E.S., Doniger, G.M., and Cummings, J.L. (2008). Practicality of a computerized system for cognitive assessment in the elderly. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 4(1), 14–21. DOI: 10.1016/j.jalz.2007.09.008
[3] Golan, D., Wilken, J., Doniger, G.M., Fratto, T., Kane, R., Srinivasan, J., Zarif, M., Bumstead, B., Buhse, M., Fafard, L., Topalli, I., and Gudesblatt, M. (2019). Validity of a multi-domain computerized cognitive assessment battery for patients with multiple sclerosis. Multiple Sclerosis and Related Disorders, 30, 154–162. DOI: 10.1016/j.msard.2019.01.051
[4] Rao SM. (2018). Role of computerized screening in healthcare teams: Why computerized testing is not the death of neuropsychology. Archives of Clinical Neuropsychology, 33(3), 375–378. DOI: 10.1093/arclin/acx137
[5] Abramovitch, A., Dar, R., Schweiger, A., and Hermesh, H. (2011). Neuropsychological impairments and their association with obsessive-compulsive symptom severity in obsessive-compulsive disorder. Archives of Clinical Neuropsychology, 26(4), 364–376. DOI: 10.1093/arclin/acr022
[6] Achiron, A., Doniger, G.M., Harel, Y., Appleboim-Gavish, N., Lavie, M., and Simon, E.S. (2007). Prolonged response times characterize cognitive performance in multiple sclerosis. European Journal of Neurology, 14(10), 1102–1108. DOI: 10.1111/j.1468-1331.2007.01909.x
[7] Schweiger, A., Doniger, G.M., Dwolatzky, T., Jaffe, D., and Simon, E.S. (2003). Reliability of a novel computerized neuropsychological battery for mild cognitive impairment. Acta Neuropsychologica, 1(4), 407–413. GICID: 01.3001.0001.0603
[8] Melton, J.L. (2005). NEDU Technical Report 06-10, Navy Experimental Diving Unit, Panama City, FL.
[9] Doniger, G.M., Okun, M.S., Simon, E.S.,Rodriguez, R.L., Jacobson, C.E., Weiss, D., Rosado, C., and Fernandez, H.H. (2006). Construct validity of a computerized neuropsychological assessment in patients with movement disorders: Interim analysis. Movement Disorders, 21(9), 1557.
