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Multimodal assessment of nigrostriatal degeneration in de novo Parkinson’s disease
Miguel López-Aguirre1,2,3, Michele Matarazzo1,3, Javier Blesa1,3, Álvaro Sánchez-Ferro1,4, Mariana H.G. Monje1,5, José A. Obeso1,3,6, and José A. Pineda-Pardo1,3,6
1HM CINAC, Hospital Universitario HM Puerta del Sur, Móstoles, Spain, 2Universidad Complutense de Madrid, Madrid, Spain, 3Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain, 4Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain, 5Ken and Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, United States, 6Universidad San Pablo-CEU, Madrid, Spain

Synopsis

Keywords: Parkinson's Disease, Multimodal, Dopamine, free-water DTI, Iron

FDOPA uptake rate, fractional volume of free-water and R2* relaxometry are imaging biomarkers sensitive to dopaminergic decline, microstructural degeneration, and iron disruption respectively, three pathological processes developed within the nigrostriatal system in Parkinson’s disease (PD). A multimodal comprehensive characterization of these biomarkers in early PD was performed, assessing them within striatum and substantia nigra pars compacta in a de novo PD cohort. While iron disruption was not observed, PD subjects revealed dopaminergic and microstructural alterations within the nigrostriatal system, following both similar spatial patterns. These results serve to improve our understanding of nigrostriatal vulnerability and degeneration in early PD.

Introduction

Neuroimaging techniques allow studying in-vivo the pathological processes related with Parkinson’s disease (PD) neurodegeneration, mechanisms that are mainly developed within the nigrostriatal system. Several biomarkers like FDOPA uptake rate (Ki), fractional volume of free-water (FW) or R2* relaxometry have proven to be sensitive to some of these pathological processes (dopaminergic decline, microstructural degeneration, and iron disruption respectively), even in PD early stages1–3. However, a multimodal comprehensive characterization of these biomarkers is still lacking in early PD clinical stages. Here, we aimed to study nigrostriatal changes during early PD from a multifactorial perspective, testing how iron disruption and microstructural integrity are connected to dopaminergic denervation.

Methods

Thirty de novo PD patients and twenty healthy subjects (HS) underwent PET and MRI studies no later than 12 months from clinical diagnosis. From these sessions Ki, FW and R2* maps were reconstructed from PET, single-shell diffusion MRI (b=1000s/mm2) and 3D multi-echo gradient echo data respectively. Ki was computed applying Patlak’s graphical method using as reference the average-time activity curve from an occipital lobe mask4. FW maps were estimated by fitting the bi-tensor model5 with the regularized gradient descent method and using a hybrid initialization strategy6. R2* maps we reconstructed nonlinearly fitting the complex monoexponential equation with an autoregressive algorithm7. These biomarkers were assessed within caudate, putamen, and substantia nigra pars compacta (SNpc). Striatal regions of interest (ROIs) were partitioned into pre/post-commissural divisions to improve pathological characterization. SNpc was divided into anteromedial/posterolateral ROIs. Single hemibrain data were sorted according to the predominance of motor signs (PD) or hand dominance (HS), i.e., more/less affected sides (MAS/LAS) or dominant/non-dominant sides (DS/nDS). Non-parametric Mann-Whitney’s U tests were applied to study inter-group differences (MAS vs DS and LAS vs nDS). Spearman’s correlation analyses were performed between imaging metrics and with quantitative bradykinesia clinical scores to test biomarker dependencies and correlation with clinics.

Results

Ki analyses revealed significant differences between HS and PD cohorts across the whole nigrostriatal system, being post-commissural putamen (-67%) and posterolateral SNpc (-11.7%) the most affected regions within striatum and SNpc respectively (Fig. 1). FW revealed microstructural alterations in PD that spatially mirrored the dopaminergic degeneration patterns showed with Ki (+20% in post-commissural putamen and +11% in posterolateral SNpc) (Fig. 1). R2* showed no relevant significant differences (Fig. 1). Ki and FW were significantly correlated within posterolateral SNpc (Fig. 2.a), but not within striatal nuclei. Ki nigrostriatal loss was significantly correlated with bradykinesia scores (Fig. 2.b). FW and R2* were unrelated to clinical scores.

Discussion

PD patients displayed a substantial dopaminergic hypofunction within the nigrostriatal system that correlated with clinical scores. Ki decline was non-homogeneous throughout the striatum, exhibiting a maximum decline within post-commissural putamen, behavior frequently reported previously2,8. In addition, a milder dopaminergic loss within SNpc has already been described using other radioligands (DAT and VMAT2)9,10. Moreover, our anteromedial/posterolateral division performed to expand pathological description revealed a higher degeneration within posterolateral ROI. This feature agrees with common understanding of SNpc neuronal vulnerability in PD11,12.

Congruent with previous literature, PD patients exhibited a FW increase within posterolateral SNpc, feature already proposed as potential biomarker of PD occurrence1,13. Indeed, here we found an inverse correlation between Ki and FW, so both biomarkers are probably reflecting the death of dopaminergic cells in PD. FW also displayed a widespread striatal increment with post-commissural putamen as more affected region, following then a similar spatial distribution as Ki. This outcome is probably reflecting axonal pruning and increased spacing between membrane layers consequence of PD neurodegeneration14. This demonstrates that FW is also sensitive to microstructural alterations within the striatum, hence constituting a potential biomarker for PD occurrence and/or progression. Although FW and Ki quantification results in similar degeneration patterns, we found no significant inter-metric correlations within striatum. However, since the percentage of striatal change differed significantly (-67% in Ki vs +20% in FW in post-commissural putamen), together with an absence of microstructural alterations in the LAS, we could argue if Ki loss mediated by axonal pruning or alterations in dopaminergic reuptake/ metabolism may precede cellular death within SNpc15, a hypothesis that might be supported by post-mortem findings showing dissociation in nigrostriatal structural alterations16. Moreover, these features are consistent with the dying-back hypothesis, which postulates an early affection of the striatal afferents before progressing retrogradely towards nigral cell soma17,18.

Despite numerous studies have reported iron accumulations within SNpc19,20, here we failed to detect them. However, we found a tendency within anteromedial SNpc, so maybe this phenomenon is still emerging in early PD, although we cannot discard that iron disruption may be too local to be detected through ROI analyses like ours21.

Conclusion

Early stages of clinical PD involve both dopaminergic and microstructural alterations within the nigrostriatal system, both exhibiting similar spatial patterns. Iron disruption may be developed in later disease stages. Dopaminergic depletion was substantially higher compared to microstructural alterations, which suggests that dopaminergic denervation might precede cellular death. These results serve to improve our understanding of nigrostriatal vulnerability and degeneration in early PD.

Acknowledgements

This study was supported by the Fundación de investigación HM Hospitales (Madrid). MLA was supported by and a grant from Fundación Jesús de Gangoiti Barrera.

References

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Figures

Figure 1 – Imaging biomarker differences within striatal and SNpc divisions. From top to bottom are respectively displayed Ki, FW and R2* results. (a) PD group vs HS percentage of change. (b) Statistical differences between groups by ROI. Green and orange colors respectively denote HS and PD groups. The significance of the differences is denoted by the number of asterisks: P > 0.1 (no symbol); 0.1 ≤ P < 0.05 (~); 0.05 ≤ P < 0.01 (*); P ≤ 0.01 (**).

Figure 2 – (a) Inter-metric correlation between FW and Ki assessments in the PD group found within the posterolateral SNpc (b) Correlation between quantitative bradykinesia scores and Ki assessments within post-commissural putamen (left) and posterolateral SNpc (right).

Proc. Intl. Soc. Mag. Reson. Med. 31 (2023)
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DOI: https://doi.org/10.58530/2023/3211