Analysis of striatal connectivity corresponding to striosomes and matrix in de novo Parkinson’s disease and isolated REM behavior disorder

S. Marecek, T. Krajca, R. Krupicka, P. Sojka, J. Nepozitek, Z. Varga, C. Mala, J. Keller, J. L. Waugh, D. Zogala, J. Trnka, K. Sonka, E. Ruzicka, P. Dusek

Research output: Contribution to journalArticlepeer-review

Abstract

Striosomes and matrix are two compartments that comprise the striatum, each having its own distinct immunohistochemical properties, function, and connectivity. It is currently not clear whether prodromal or early manifest Parkinson’s disease (PD) is associated with any striatal matrix or striosomal abnormality. Recently, a method of striatal parcellation using probabilistic tractography has been described and validated, using the distinct connectivity of these two compartments to identify voxels with striosome- and matrix-like connectivity. The goal of this study was to use this approach in tandem with DAT-SPECT, a method used to quantify the level of nigrostriatal denervation, to analyze the striatum in populations of de novo diagnosed, treatment-naïve patients with PD, isolated REM behavioral disorder (iRBD) patients, and healthy controls. We discovered a shift in striatal connectivity, which showed correlation with nigrostriatal denervation. Patients with PD exhibited a significantly higher matrix-like volume and associated connectivity than healthy controls and higher matrix-associated connectivity than iRBD patients. In contrast, the side with less pronounced nigrostriatal denervation in PD and iRBD patients showed a decrease in striosome-like volume and associated connectivity indices. These findings could point to a compensatory neuroplastic mechanism in the context of nigrostriatal denervation and open a new avenue in the investigation of the pathophysiology of Parkinson’s disease.

Original languageEnglish (US)
Article number124
Journalnpj Parkinson's Disease
Volume10
Issue number1
DOIs
StatePublished - Dec 2024

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cellular and Molecular Neuroscience

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