Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson Disease
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- Non-motor Symptoms and Treatments in Parkinson’s Disease, Neurologic Clinics, 43, 2, (291-317), (2025).https://doi.org/10.1016/j.ncl.2024.12.008
- Redefining Non-Motor Symptoms in Parkinson’s Disease, Journal of Personalized Medicine, 15, 5, (172), (2025).https://doi.org/10.3390/jpm15050172
- Understanding disrupted motivation in Parkinson’s disease through a value-based decision-making lens, Trends in Neurosciences, 48, 4, (297-311), (2025).https://doi.org/10.1016/j.tins.2025.02.008
- Editors' Note: Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson Disease, Neurology, 104, 5, (2025)./doi/10.1212/WNL.0000000000213339
- Author Response: Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson Disease, Neurology, 104, 5, (2025)./doi/10.1212/WNL.0000000000209958
- Reader Response: Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson Disease, Neurology, 104, 5, (2025)./doi/10.1212/WNL.0000000000209812
- Behavioral disorders in Parkinson disease: current view, Journal of Neural Transmission, (2024).https://doi.org/10.1007/s00702-024-02846-3
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We thank Dr. Zhang and colleagues for their letter regarding our paper.1 We agree that stable group-level rates of apathy across the time course of Parkinson disease (PD) by no means imply stable individual trajectories. However, Figure 1 in our paper illustrates that apathy is an important clinical feature throughout PD, not only later in the disease course. A limitation of these group-level summaries is that the group composition changes over time, with slower-progressing PD dominating the later time points. Indeed, this is exactly why we fitted models that consider, at an individual level, which risk factors signal either the presence or onset of apathy.1
A key result from the multistate incidence model was that apathy itself is a risk factor for early mortality, and that when this risk is accounted for, the relationship between other PD features and apathy varies across the disease course (illustrated in Figure 4 in our paper).1 Clinically and mechanistically, these relationships are important because both the reasons for apathy incidence and the appropriate treatment strategies may be quite different at different disease stages, despite stable group-level prevalence. As Zhang et al. pointed out, more complex models with sufficient data points will likely help further our understanding in this area.
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Author disclosures are available upon request ([email protected]).
We read the recent article by Le Heron et al. with great interest.1 Psychiatric disorders such as depression, anxiety, and apathy are among the most prevalent nonmotor symptoms of Parkinson disease (PD).2 Understanding the trajectory of these psychological symptoms throughout the course of PD is crucial for effective treatment and prognosis.3
In their paper, Le Heron et al. examined the incidence of apathy at various stages of PD and found no significant differences over time.1 This result is unsatisfactory due to the study’s focus on overall levels rather than individual trajectories. A more plausible approach might be using a nonlinear mixed-effects model to capture the trajectory of apathy at the individual level (as shown in Figure 1, the trajectory of apathy is more likely to be nonlinear). This approach would allow for a comparison of the slope and the incidence (symptoms) at each point in the post-diagnostic period.4 We recommend a comprehensive analysis of symptom trajectories to enhance clinicians’ understanding of nonmotor symptoms in PD.
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Author disclosures are available upon request ([email protected]).