Abstract
Freezing of gait (FOG) is common in people with Parkinson’s disease (PD) which is extremely debilitating. One hypothesis for the cause of FOG episodes is impaired cognitive control, however, this is still in debate in the literature. We aimed to assess a comprehensive range of cognitive tests in older adults and people with Parkinson’s with and without FOG and associate FOG severity with cognitive performance. A total of 227 participants took part in the study which included 80 healthy older adults, 81 people with PD who did not have FOG and 66 people with PD and FOG. A comprehensive battery of neuropsychological assessments tested cognitive domains of global cognition, executive function/attention, working memory, and visuospatial function. The severity of FOG was assessed using the new FOG questionnaire and an objective FOG severity score. Cognitive performance was compared between groups using an ANCOVA adjusting for age, gender, years of education and disease severity. Correlations between cognitive performance and FOG severity were analyzed using partial correlations. Cognitive differences were observed between older adults and PD for domains of global cognition, executive function/attention, and working memory. Between those with and without FOG, there were differences for global cognition and executive function/attention, but these differences disappeared when adjusting for covariates. There were no associations between FOG severity and cognitive performance. This study identified no significant difference in cognition between those with and without FOG when adjusting for covariates, particularly disease severity. This may demonstrate that complex rehabilitation programs may be undertaken in those with FOG.
Similar content being viewed by others
Introduction
Freezing of gait (FOG) is one of the most problematic motor symptoms in Parkinson’s disease (PD) affecting over 60% of patients with a disease duration of 10 years or more1. Furthermore, FOG contributes to an increased risk of falls, reduced quality of life, increased mood disorders and increased caregiver burden2,3,4. Not all patients with PD develop FOG. Incidence increases with disease duration but clinically it is difficult to predict which patients will transition to develop FOG. A number of factors contribute to FOG risk which include age, anxiety, depression, and severity of motor symptoms but the role of cognition in the development of FOG is still debated in the literature5,6,7,8.
Impaired cognitive function is common in PD, particularly for frontal lobe functions of attention and executive function with difficulties present at disease diagnosis9. A number of studies have looked at differences in cognition between those with FOG (FOG+) and without FOG (FOG−) suggesting that domains of executive function, attention, and visuospatial function are worse in FOG+ compared to FOG−10,11,12,13,14. However, most studies to date are within small cohorts and do not control for disease severity. The association between cognitive decline and PD severity, and PD severity and FOG is difficult to disentangle (Fig. 1). Therefore, it is critical that disease severity is taken into account when comparing cognitive function in those with and without FOG.
The severity of FOG is assessed in the majority of cases using self-report questionnaires dependent on patient subjective recall15,16. To better characterize and quantify FOG, an objective measure may be better suited for assessment across participants and when assessing relationships between FOG and behavioral outcomes. Mancini et al., previously developed an objective outcome measure of FOG that provides a continuous ratio score validated against both the New FOG self-reported questionnaire and expert neurologist evaluation17,18.
This study, therefore, aimed to: (i) assess a comprehensive range of cognitive domains in a large cohort of older adults and PD FOG+ and FOG− and (ii) associate cognitive performance with FOG severity using subjective and objective FOG measures. We hypothesize that those with PD will have poorer cognitive function compared to older adults and specific to PD, measures of executive function, attention, and visuospatial ability will be worse in FOG+ compared to FOG−. In addition, PD participants with more severe objective FOG scores will demonstrate poorer attention, executive function and visuospatial abilities compared to those with milder FOG.
Results
Demographic and clinical assessments
A total of 227 participants were recruited to the study; 147 of which were diagnosed with idiopathic PD and 80 healthy older adults (OA). Of those with PD, 66 were classified as FOG+ and 81 were classified as FOG−. Demographic and clinical assessments are shown in Table 1. When comparing OA and PD, there were no differences for age or gender but those with PD had a poorer MoCA score (OA; 26.87 ± 2.27, PD; 25.75 ± 3.40, p < 0.01). When comparing FOG+ and FOG−, there was no significant difference for age, gender or MoCA (Table 1). However, motor disease severity, as measured by the MDS-UPDRS III, was significantly greater in the FOG+ group (45.92 ± 12.44) compared to the FOG− group (36.20 ± 10.83, p < 0.001). The FOG+ group had significantly greater FOG severity, as demonstrated by the FOG ratio score (2.65 ± 6.03) compared to FOG− (0.68 ± 0.76, p < 0.01).
Cognitive performance between OA and PD and FOG+ and FOG−
Independent sample t-tests without covariates indicated that the PD group had worse performance than the OA group for all cognitive tests except for Go-NoGo (p = 0.02) and JoLO (p = 0.04), see Table 2. Uncorrected, independent sample t-tests also showed worse cognitive performance for the FoG+ compared to FoG− for global cognition (SCOPA-COG, p < 0.01) and in the executive function/attention domain for the Flankers test (p < 0.01), but no other tests (see Table 2). Box and scatter plot representations of cognitive assessments for OA, FOG−, and FOG+ are shown in Fig. 2.
Adjusting for age, gender and years of education, resulted in fewer differences between PD and OA groups, with the PD group exhibiting poorer global cognition (SCOPA-COG; p < 0.01), poorer executive function/attention (SRT (p < 0.01), Stroop color (p < 0.01), Stroop Interference (p < 0.01) and Flankers (p < 0.01) and poorer working memory (Dot counting; p < 0.01) (Table 2). When comparing FOG+ and FOG− and adjusting for age, gender, years of education and disease severity (MDS-UPDRS III) there were no significant differences between groups. To further understand the effect of individual covariates, analyses were run controlling for individual covariates (Supplementary Table 1) which revealed the MDS-UPDRS III had the greatest effect on cognitive performance.
Association between FOG severity and cognitive performance
Cognitive performance was not correlated with either self-reported FOG severity or objective FOG severity in any of the groups (Table 3). The objective FOG ratio was weakly correlated with the SCOPA-Cog in FOG+ (r = −0.28; p = 0.04), suggesting those with poorer global cognition had greater freezing severity, but this did not reach the stringent significance level adjusted for multiple comparisons (Fig. 3).
Discussion
This large study compared a comprehensive range of neuropsychological assessments in older adults and people with Parkinson’s disease, with and without freezing of gait. Although the FOG+ group showed poorer executive and global cognitive function compared to the FOG− group, this difference was not significant when controlling for covariates, particularly disease severity. As supported by previous work, this suggests that cognitive deficits and FOG incidence may occur concomitantly as PD progresses. In addition, we observed no associations between FOG severity and cognitive impairment when using subjective or objective measures of FOG severity, suggesting that severity of FOG may not relate to severity of cognitive impairment.
Patients with PD demonstrate cognitive deficits, even in early disease9, and our analysis demonstrates established cognitive impairments in this cohort of PD compared to healthy older adults. In our analysis, we identified significant differences between FOG+ and FOG− when we did not adjust for covariates; however, when controlling for factors reflecting more advanced disease progression, the differences were no longer significant. Further analysis revealed that adjusting for disease severity eliminated differences between FOG+ and FOG−, with these findings corroborated by the weak association between FOG severity and cognitive task performance. Incidence of cognitive impairment and FOG are more likely as disease progresses1 and therefore FOG may occur via two parallel process of increasing motor disease severity advancing cognitive impairment (Fig. 1). One theory underlying FOG episodes stipulates functional decoupling between neural networks, identifying that the level of functional connectivity between cognitive and motor areas may trigger FOG episodes19. Therefore, connectivity may become further impaired as disease progresses leading to FOG episodes, independent of level of cognitive function. Furthermore, we previously identified a loss of white matter fibers in an executive inhibition pathway between the right SMA and right STN in PD with FOG20. Therefore, cognition may play a role in some instances of FOG but this may occur indirectly via disease severity dependent on other factors.
A number of studies have also demonstrated worse cognition in FOG across a number of domains, such as executive function and attention10,12,13,21. However, the majority of studies contain small sample sizes and as a result, often do not control for confounders which may affect cognition e.g. disease severity and age. Unlike our study, the majority of studies assess cognition ‘on’ dopaminergic medication5,10,11,13,14,21,22 whereas our patients were assessed in the ‘off’ state. Medication status in PD not only influences motor symptoms, but can also affect non-motor symptoms, including cognition both in a positive and negative manner23,24. The role of dopamine on cognition is complex, evidence suggests that dopamine improves a number of cognitive processes but in addition, overload of the dopaminergic system may result in reduced cognitive performance for other cognitive processes25,26,27,28,29. Furthermore, cognitive training for people with FOG demonstrated significant improvement in FOG episodes when in the ‘on’ state but not the ‘off’ state30. This suggests an interplay between dopamine and cognition that underpins FOG. Importantly, we compared our PD cohort to age-matched older adults and demonstrated a similar pattern of cognitive impairment to other studies in the literature. However, future studies should assess cognition in FOG+ and FOG− in large cohorts both on and off medication to better understand dopaminergic influence on cognitive pathways in those who experience FOG.
Severity of FOG has previously been associated with severity of cognitive deficit i.e. the more severe the FOG, the greater the cognitive deficit10,12,14. However, we did not find any associations between the severity of freezing and cognitive function either with self-report or objective measures of FOG severity. In order to improve the accuracy of FOG severity, we used an objective FOG ratio to provide scores for OA, FOG− and FOG+. In our FOG+ group, there was a stronger association between FOG severity ratio score and global cognition and working memory compared to the FOG questionnaire score. It is possible that the objective FOG ratio score provides a more sensitive metric of FOG severity and may provide a useful outcome measure for future studies.
Our study had a number of strengths including a large cohort of PD allowing for large and near equal size groups for FOG+ and FOG−. Furthermore, we assessed a comprehensive range of executive function and attention cognitive assessments, the domain most noted to be different between FOG+ and FOG− in previous work. However, our study also had a number of limitations. First, our cognitive battery had a smaller number of tests assessing memory and visuospatial function and therefore our results may be biased towards frontal executive function and attention. Second, although not necessarily a limitation, our participants were all assessed ‘off’ medication and therefore our results may be difficult to compare to other studies. Furthermore, we compared our PD cohort ‘off’ medication to a group of age-matched older adults and identified cognitive impairments were similar to other studies in the literature.
Overall in this large study, we found no statistical differences in cognitive outcomes between people with PD who do and do not freeze when taking disease severity into account. Our findings may have future implications for rehabilitation of FOG, however, findings will need to be validated in a future cohort.
Methods
Participants
Participants diagnosed with idiopathic PD and healthy age-matched older adults (OA) were recruited to the study at Oregon Health and Science University and the VA Portland Healthcare system. All PD participants were screened by a movement disorders specialist at either Oregon Health and Science University or the VA Portland Healthcare System. OA and PD participants were included in the study if they were aged between 50 and 90 years old. People with PD were included in the study if they (i) were diagnosed with idiopathic PD according to UK Brain Bank Criteria31 and (ii) had no other neurological disorder other than PD. Participants were excluded if they had cognitive difficulties so that they could not follow instructions. Informed consent was gained from all participants All subjects provided informed consent approved by the joint Institutional Review Boards at Oregon Health & Science University (4131) and the VA Portland Health Care System (8979).
FOG Classification
PD participants were classified as FOG+ if: (i) they answered yes to the first question on the New Freezing of Gait Questionnaire (NFOG-Q)15 (Did you experience any freezing of gait episodes within the last month?) after seeing an accompanying video showing examples of FOG episodes, and/or (ii) an episode of freezing was observed during a laboratory assessment. All participants were assessed in the practical ‘Off’ medication state, with medication withdrawn a minimum of 12 h prior to assessments.
Clinical assessments
Age, gender, years of education, and global cognitive function via the Montreal Cognitive Assessment (MoCA) score32 were recorded for all participants. To assess PD severity, disease duration in years was recorded and motor severity was assessed using part III of the Movement Disorders Society Unified Parkinson’s disease rating scale (MDS-UPDRS-III)33 and Hoehn and Yahr score (H & Y)34. The severity of FOG was recorded subjectively using the NFOG-Q and objectively using the FOG ratio score17,18. The FOG ratio score was calculated from anterior-posterior accelerations from wearable sensors on both ankles whilst participants turned clockwise and counterclockwise 360 degrees for 1 minute. The ratio of power at the freezing frequency band (3–7 Hz) over a walking frequency band (0.5–2 Hz) was calculated for the turning trial.
Cognitive assessments
Four domains of cognition were assessed: global cognition, executive function/attention, working memory and visuospatial. Global cognition was assessed using the Scales for Outcomes in Parkinson’s disease-cognition (SCOPA-COG) which is comprised of ten items assessing attention, working memory, executive function, and visuospatial abilities35. Executive function and attention were assessed by tests of simple reaction time (SRT), the time to complete the Trail Making Test (TMT) Part B minus Part A, the time to complete the Stroop color condition, the time to complete the Stroop interference condition, the Flankers test, and the Go-NoGo test. Working memory was assessed using the Dot Counting test from the NIH examiner battery. Finally, visuospatial ability was assessed using the Benton’s Judgement of line orientation (JoLO).
Statistical analysis
Differences in demographical characteristics were compared between older adults and PD and FOG+ and FOG− using independent samples t-tests and chi-square tests where appropriate. Differences in cognitive performance were compared between: (i) PD and OA and (ii) FOG− and FOG+. Comparisons were analyzed first without covariates using independent samples t-test. Second, ANCOVA’s were used to detect differences in cognitive performance whilst adjusting for covariates. Covariates of age, gender, years of education and disease severity using the MDS-UPDRS III were selected due to their association with cognitive performance.
To determine associations between FOG severity and both self-report and objective measures of FOG, partial correlations were used controlling for age, gender and years of education. To control for multiple comparisons, statistical significance was set at α < 0.01 throughout the analysis.
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Giladi, N. et al. Freezing of gait in patients with advanced Parkinson’s disease. J. Neural Transm. 108, 53–61 (2001).
Walton, C. C. et al. The major impact of freezing of gait on quality of life in Parkinson’s disease. J. Neurol. 262, 108–115 (2015).
Rascol, O. et al. Rasagiline as an adjunct to levodopa in patients with Parkinson’s disease and motor fluctuations (LARGO, Lasting effect in adjunct therapy with Rasagiline given once daily, study): a randomised, double-blind, parallel-group trial. Lancet 365, 947–954 (2005).
Nutt, J. G. et al. Freezing of gait: moving forward on a mysterious clinical phenomenon. Lancet Neurol. 10, 734–744 (2011).
Martens, K. A. E. et al. Anxiety is associated with freezing of gait and attentional set-shifting in Parkinson’s disease: a new perspective for early intervention. Gait Posture 49, 431–436 (2016).
Ou, R. et al. Predictors of freezing of gait in Chinese patients with Parkinson’s disease. Brain Behav. 8, e00931 (2018).
Herman, T., Shema-Shiratzky, S., Arie, L., Giladi, N. & Hausdorff, J. M. Depressive symptoms may increase the risk of the future development of freezing of gait in patients with Parkinson’s disease: Findings from a 5-year prospective study. Parkinsonism Relat. Disord. 60, 98–104 (2019).
D’Cruz, N. et al. Repetitive motor control deficits most consistent predictors of conversion to freezing of gait in Parkinson’s disease: a prospective cohort study. J. Parkinsons Dis 10, 559–571 (2020).
Yarnall, A. J. et al. Characterizing mild cognitive impairment in incident Parkinson disease: The ICICLE-PD Study. Neurology 82, 308–316 (2014).
Amboni, M., Cozzolino, A., Longo, K., Picillo, M. & Barone, P. Freezing of gait and executive functions in patients with Parkinson’s disease. Mov. Disord. 23, 395–400 (2008).
Factor, S. A. et al. Freezing of gait subtypes have different cognitive correlates in Parkinson’s disease. Parkinsonism Relat. Disord. 20, 1359–1364 (2014).
Jha, M. et al. Neuropsychological and imaging profile of patients with Parkinson’s disease and freezing of gait. Parkinsonism Relat. Disord. 21, 1184–1190 (2015).
Naismith, S. L., Shine, J. M. & Lewis, S. J. The specific contributions of set-shifting to freezing of gait in Parkinson’s disease. Mov. Disord. 25, 1000–1004 (2010).
Cohen, R. G. et al. Inhibition, executive function, and freezing of gait. J. Parkinsons Dis. 4, 111–122 (2014).
Nieuwboer, A. et al. Reliability of the new freezing of gait questionnaire: agreement between patients with Parkinson’s disease and their carers. Gait Posture 30, 459–463 (2009).
Giladi, N. et al. Validation of the freezing of gait questionnaire in patients with Parkinson’s disease. Mov. Disord. 24, 655–661 (2009).
Mancini, M., Priest, K. C., Nutt, J. G. & Horak, F. B. Quantifying freezing of gait in Parkinson’s disease during the instrumented timed up and go test. Conf. Proc. IEEE Eng. Med Biol. Soc. 2012, 1198–1201 (2012).
Mancini, M. et al. The clinical significance of freezing while turning in Parkinson’s disease. Neuroscience 343, 222–228 (2017).
Shine, J. M. et al. Freezing of gait in Parkinson’s disease is associated with functional decoupling between the cognitive control network and the basal ganglia. Brain 136, 3671–3681 (2013).
Fling, B. W. et al. Asymmetric pedunculopontine network connectivity in parkinsonian patients with freezing of gait. Brain 136, 2405–2418 (2013).
Yao, Z., Shao, Y. & Han, X. Freezing of gait is associated with cognitive impairment in patients with Parkinson disease. Neurosci. Lett. 656, 126–130 (2017).
Beck, E. N., Ehgoetz Martens, K. A. & Almeida, Q. J. Freezing of gait in Parkinson’s disease: an overload problem? PLoS ONE 10, e0144986 (2015).
Chaudhuri, K. R. & Schapira, A. H. V. Non-motor symptoms of Parkinson’s disease: dopaminergic pathophysiology and treatment. Lancet Neurol. 8, 464–474 (2009).
Lewis, S. J. G. & Barker, R. A. Understanding the dopaminergic deficits in Parkinson’s disease: Insights into disease heterogeneity. J. Clin. Neurosci. 16, 620–625 (2009).
Lange, K. W., Paul, G. M., Naumann, M. & Gsell, W. Dopaminergic effects on cognitive performance in patients with Parkinson’s disease. J. Neural Transm. Suppl. 46, 423–432 (1995).
Gotham, A., Brown, R. & Marsden, C. J. B. ‘Frontal’cognitive function in patients with Parkinson’s disease ‘on’and ‘off’levodopa. Brain 111, 299–321 (1988).
Lewis, S. J. G., Slabosz, A., Robbins, T. W., Barker, R. A. & Owen, A. M. Dopaminergic basis for deficits in working memory but not attentional set-shifting in Parkinson’s disease. Neuropsychologia 43, 823–832 (2005).
Schaeffer, E. & Berg, D. Dopaminergic therapies for non-motor symptoms in Parkinson’s disease. CNS Drugs 31, 551–570 (2017).
Aarts, E. et al. Greater striatal responses to medication in Parkinsons disease are associated with better task-switching but worse reward performance. Neuropsychologia 62, 390–397 (2014).
Walton, C. C. et al. Cognitive training for freezing of gait in Parkinson’s disease: a randomized controlled trial. NPJ Parkinsons Dis. 4, 15 (2018).
Hughes, A. J., Daniel, S. E., Kilford, L. & Lees, A. J. Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. J. Neurol. Neurosurg. Psychiatry 55, 181–184 (1992).
Nasreddine, Z. S. et al. The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J. Am. Geriatrics Soc. 53, 695–699 (2005).
Goetz, C. G. et al. Movement disorder society-sponsored revision of the unified Parkinson’s disease rating scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov. Disord. 23, 2129–2170 (2008).
Hoehn, M. M. & Yahr, M. D. Parkinsonism: onset, progression and mortality. Neurology 57, S11–S26 (2001).
Verbaan, D. et al. Cognitive impairment in Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry 78, 1182–1187 (2007).
Acknowledgements
This work was funded by the National Institutes of Health (Grant R01 AG006457) and the Department of Veterans Affairs Merit Review Award (I01 RX001075).
Author information
Authors and Affiliations
Contributions
R.M.: research project-execution and data acquisition, statistical analysis-execution, manuscript: writing of the first draft and final approval. K.S.: research project-execution and data acquisition, statistical analysis: review and critique, manuscript: review and critique and final approval. D.P.: research project-execution and data acquisition, statistical analysis: review and critique, manuscript: review and critique and final approval. M.M.: research project-execution and data acquisition, statistical analysis: review and critique, manuscript: review and critique and final approval. P.C.K.: research project-execution and data acquisition, statistical analysis: review and critique, manuscript: review and critique and final approval. J.N.: research project: conception, execution and data acquisition, statistical analysis: review and critique, manuscript: review and critique and final approval. F.H.: research project: conception and organisation, statistical analysis: review and critique, manuscript: review and critique and final approval
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests but Dr. Horak has a significant financial interest in APDM, a company that may have a commercial interest in the results of this research and technology. This potential institutional and individual conflict has been reviewed and managed by OHSU (4131) and the VA Portland Healthcare System (8979).
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Morris, R., Smulders, K., Peterson, D.S. et al. Cognitive function in people with and without freezing of gait in Parkinson’s disease. npj Parkinsons Dis. 6, 9 (2020). https://doi.org/10.1038/s41531-020-0111-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41531-020-0111-7
- Springer Nature Limited
This article is cited by
-
Beyond timing and step counting in 360° turning-in-place assessment: a scoping review
BioMedical Engineering OnLine (2024)
-
The validation of a Japanese version of the New Freezing of Gait Questionnaire (NFOG-Q)
Neurological Sciences (2024)
-
Characteristics of Visual, Cognitive, and Neuroimaging Changes in Parkinson’s Disease Patients with Gait Freezing
Neuroscience and Behavioral Physiology (2023)
-
Freezing of gait is a risk factor for cognitive decline in Parkinson’s disease
Journal of Neurology (2023)
-
Assessment of the psychometric properties of the Italian version of the New Freezing of Gait Questionnaire (NFOG-Q-IT) in people with Parkinson disease: a validity and reliability study
Neurological Sciences (2023)