4.7 Article

Connectivity of corticostriatal circuits in nonmanifesting LRRK2 G2385R and R1628P carriers

Journal

CNS NEUROSCIENCE & THERAPEUTICS
Volume 28, Issue 12, Pages 2024-2031

Publisher

WILEY
DOI: 10.1111/cns.13933

Keywords

corticostriatal circuits; functional connectivity; LRRK2; Parkinson's disease; resting-state fMRI

Funding

  1. National Key R&D Program of China [2020AAA0109502]
  2. National Natural Science Foundation of China [81871428, 82071423]

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This study investigated the functional connectivity of corticostriatal circuits in nonmanifesting LRRK2 G2385R and R1628P mutation carriers. Compared to noncarriers, mutation carriers showed reduced connectivity in certain regions and increased connectivity in others. The study found that mutation carriers have a lower likelihood of developing parkinsonian motor symptoms.
Background Neuroimaging studies have shown that the functional connectivity (FC) of corticostriatal circuits in nonmanifesting leucine-rich repeat kinase 2 (LRRK2) G2019S mutation carriers mirrors neural changes in idiopathic Parkinson's disease (PD). In contrast, neural network changes in LRRK2 G2385R and R1628P mutations are unclear. We aimed to investigate the FC of corticostriatal circuits in nonmanifesting LRRK2 G2385R and R1628P mutation carriers (NMCs). Methods Twenty-three NMCs, 28 PD patients, and 29 nonmanifesting noncarriers (NMNCs) were recruited. LRRK2 mutation analysis was performed on all participants. Clinical evaluation included MDS-UPDRS. Results When compared to NMNCs, NMCs showed significantly reduced FC between the caudate nucleus and superior frontal gyrus and cerebellum, and between the nucleus accumbens and parahippocampal gyrus, amygdala, and insula. We also found increased striatum-cortical FC in NMCs. Conclusions Although the corticostriatal circuits have characteristic changes similar to PD, the relatively intact function of the sensorimotor striatum-cortical loop may result in less possibility of developing parkinsonian motor symptoms for the NMCs. This study helps explain why LRRK2 G2385R and R1628P mutations are risk factors rather than pathogenic mutations for PD and suggests that various LRRK2 mutations have distinct effects on neural networks.

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