Feb 24, 2026
NeuroTrax Science Team and Glen M. Doniger, PhD
Though cognition and motor function are often treated as separate, they are inextricably linked. Attention, executive control, and visual spatial processing are critical in enabling us to move about effectively – maintaining balance and stability while turning, negotiating obstacles, and dual tasking. Thus compromised mobility can be an indicator of cognitive changes, and motor stressors can sometimes expose cognitive vulnerability. Objective, repeatable cognitive measurement is a practical way to connect these dots, especially when considered along with mobility outcomes. NeuroTrax, a digital neuromarker, was built for exactly this purpose: standardized quantification of cognition so changes can be readily tracked over time. [1–3]
A case in point comes from research in people with mild cognitive impairment (MCI) and dementia: when multidomain cognitive function was analyzed in relation to gait variability, visual spatial ability emerged as the only domain with a meaningful predictive relationship, suggesting that gait instability may be driven by a specific deficit in how the brain processes space and visual context. [1] The crucial implication is that when visual spatial abilities are compromised, everyday navigation may become less efficient, potentially increasing the risk of missteps or falls.
The cognition-motor link becomes even more apparent while multitasking. Dual-task walking studies in Parkinson’s disease (PD) show that certain components of gait are attention-demanding, helping account for deterioration in performance when people must simultaneously walk and engage in a cognitive task. [4] Related work attributes freezing of gait to dysfunction in the prefrontal cortex and uses NeuroTrax to demonstrate how motor symptoms may reflect disruption in frontally mediated cognitive control. [5] A five-year prospective study found that although cognition generally declines over time across PD subtypes, executive function worsened more in the postural instability/gait difficulty phenotype than in tremor-dominant PD, highlighting the value of longitudinal, domain-level tracking in subtyping. [2] Critically, balance and gait measures predict longer-term cognitive outcomes, suggesting a central role for movement metrics in risk stratification. [6]
NeuroTrax is widely used in neurologic research to quantify attention, executive function, memory, processing speed, visual spatial ability, verbal function, and motor skills with domain scores standardized for age and education. Versatility and uniformity of the platform are important because cognition and motor function can vary to differing degrees depending on such factors as health status, environment, and task demands. NeuroTrax gives clinicians and researchers a consistent cognitive metric to consider alongside mobility, balance, or functional outcomes, supporting three practical clinical needs: baseline characterization [1,3], change detection [2], and intervention measurement [7,8].
Brain health is functional health (see: https://neurotrax.com/news/30). When cognition is measured in tandem with motor performance, the clinical profile becomes more nuanced and relevant, indicating which domains change, under which real-world conditions, and with what practical consequences. The emergent specificity enables better monitoring, targeted therapy, and clearer conversations with patients and caregivers. NeuroTrax helps bridge cognition and motor function with reliable data that transforms subjective impression into measurable clinical trajectories.
References:
[1] Ofori, E., Delgado, F., James, D.L., Wilken, J., Hancock, L.M., Doniger, G.M., Gudesblatt, M. (2024). Impact of distinct cognitive domains on gait variability in individuals with mild cognitive impairment and dementia. Experimental Brain Research, 242, 1573–1581. doi: 10.1007/s00221-024-06832-9. PMID: 38753043
[2] Arie, L., Herman, T., Shema-Shiratzky, S., Giladi, N., and Hausdorff, J.M. (2017). Do cognition and other non-motor symptoms decline similarly among patients with Parkinson’s disease motor subtypes? Findings from a 5-year prospective study. Journal of Neurology, 264, 2149–2157. doi: 10.1007/s00415-017-8605-x. PMID: 28879438
[3] Jacob, Y., Rosenberg-Katz, K., Gurevich, T., Helmich, R.C., Bloem, B.R., Orr-Urtreger, A., Giladi, N., Mirelman, A., Hendler, T., and Thaler, A. (2019). Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers. Human Brain Mapping, 40, 2546–2555. doi: 10.1002/hbm.24543. PMID: 30793410
[4] Yogev, G., Giladi, N., Peretz, C., Springer, S., Simon, E.S., and Hausdorff, J.M. (2005). Dual tasking, gait rhythmicity, and Parkinson’s disease: Which aspects of gait are attention demanding? European Journal of Neuroscience, 22, 1248–1256. doi: 10.1111/j.1460-9568.2005.04298.x. PMID: 16176368
[5] Dagan, M., Herman, T., Mirelman, A., Giladi, N., and Hausdorff, J.M. (2017). The role of prefrontal cortex in freezing of gait in Parkinson’s disease: Insights from a deep repetitive transcranial magnetic stimulation exploratory study. Experimental Brain Research, 235, 2463–2472. doi: 10.1007/s00221-017-4981-9. PMID: 28509934
[6] Ben Assayag, E., Shenhar-Tsarfaty, S., Korczyn, A.D., Kliper, E., Hallevi, H., Shopin, L., Auriel, E., Giladi, N., Mike, A., Halevy, A., Weiss, A., Mirelman, A., Bornstein, N.M., and Hausdorff, J.M. (2015). Gait measures as predictors of poststroke cognitive function: Evidence from the TABASCO study. Stroke, 46, 1077–1083. doi: 10.1161/STROKEAHA.114.007346. PMID: 25677599
[7] Dunsky, A., Unger, L., Carasso, R., and Fox, O. (2023). The effect of a single session of balance and coordination training on cognitive function in older adults. Applied Sciences, 13:3598. doi: 10.3390/app13063598.
[8] Milman, U., Atias, H., Weiss, A., Mirelman, A., and Hausdorff, J.M. (2014). Can cognitive remediation improve mobility in patients with Parkinson’s disease? Findings from a 12 week pilot study. Journal of Parkinson’s Disease, 4, 37–44. doi: 10.3233/JPD-130321. PMID: 24322063