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T. van Eimeren

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Open access Sep 2026

Resilience mechanisms in Parkinson's disease: a domain-specific conceptual framework.

While nigrostriatal dopaminergic cell loss is the pathological hallmark of Parkinson's disease, it is well-known that dopamine deficiency cannot fully explain the clinical severity or disease progression. Emerging data suggest that resilience, i.e. the brain's capacity to maintain function despite pathology, plays a key role in shaping clinical variability of both motor and non-motor symptoms. However, different contributing terms have been proposed, including brain compensation and reserve, and it remains unclear how these terms can be delineated both conceptually and mechanistically. Therefore, here we provide a synthesis of recent neuroimaging evidence on resilience mechanisms in Parkinson's disease, with the following aims: (1) clarify the terminology, (2) define the mechanisms and (3) relate resilience mechanisms to treatments, including dopamine replacement therapy and deep brain stimulation. We distinguish between compensation and reserve. We define compensation as adaptive neural activity that stabilises task performance in the presence of pathology, particularly under increased demands, and is inversely related to clinical deficits. By contrast, reserve (cognitive or motor) refers to capacity of neural resources that is built up across the lifetime, shaped by factors of an individual's exposome. Compensation has been localised to the parieto-premotor network alongside the relatively preserved anterior striatum. Higher motor reserve has been linked to somatomotor network tolerance, preserved structural integrity and higher striatal functional network connectivity. Cognitive reserve relates to network robustness and structural integrity within the fronto-parietal network. Whether resilience mechanisms drive inter-individual variability in long-term treatment response remains unresolved. Lower motor reserve predicts accelerated levodopa dose escalation and increased risk of dyskinesias, while cognitive reserve modulates both cognitive and motor outcomes after deep brain stimulation, highlighting cross-domain interactions. Brain compensation and reserve are two key components of resilience that together shape clinical heterogeneity in Parkinson's disease, across motor and cognitive domains. Although they operate at different time scales and through distinct mechanisms, they remain intrinsically related. Our framework suggests that biomarkers of resilience could complement biological definitions of Parkinson's disease and shift therapeutic strategies from merely slowing degeneration toward strengthening adaptive capacity. Key priorities for future work are to define the longitudinal relationship between resilience failure and subcortical neurodegeneration using concurrent measures of nigrostriatal decline, multimodal datasets or controlled interventions, and to determine how symptom domain-specific resilience mechanisms shape treatment outcomes to enable targeted modulation and better capture disease heterogeneity.

M. C. Ruppert-Junck, T. van Eimeren, Kathrin Giehl et al. · 0 citations
Open access Sep 2026

Dopamine-Deficiency-Related Reorganization of the Somatomotor Network in Prodromal and Early Parkinson's Disease.

INTRODUCTION Network attack tolerance (NAT) measures the brain's ability to sustain information flow despite the loss of critical brain regions. In Parkinson's disease (PD), NAT has been linked to cognitive and motor function. However, it remains unclear how dopaminergic degeneration shapes NAT, and whether it relates to motor symptom progression. OBJECTIVE To examine dopamine deficiency-related changes in NAT across the early PD disease continuum and its association with longitudinal motor outcomes. METHODS We used cross-sectional resting-state functional magnetic resonance imaging of 28 healthy controls, 60 prodromal, and 94 clinical PD patients to create graph-theoretical networks. NAT was assessed at the global and subnetwork levels by calculating the global efficiency upon iterative node removal at different network densities. Using linear mixed-effects models, we assessed how putaminal dopamine transporter (DaT) binding or disease status affected NAT, controlling for network density, age, sex, and education. Baseline somatomotor (SMN) NAT was examined as a predictor of motor symptom progression in 145 patients. RESULTS Lower putaminal DaT signal was associated with higher SMN NAT across groups. PD patients exhibited elevated SMN NAT relative to controls. Neither global nor other subnetworks showed effects. While the effect of baseline SMN NAT on motor progression was not significant, an exploratory analysis (Johnson-Neyman) suggested that higher SMN NAT may associate with slower motor decline across most of the observed NAT range. CONCLUSIONS Dopaminergic depletion is associated with a targeted SMN reorganization, potentially maintaining network information flow despite progressive hub loss. Whether this reorganization represents compensation or a consequence of progressive pathology requires further longitudinal assessment. © 2026 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Adrian L. Asendorf, Verena Dzialas, T. van Eimeren et al. · 0 citations

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