Potential functional compensation of substantia nigra by locus coeruleus in Parkinson’s disease

Abstract Neuromelanin is abundant in locus coeruleus (LC), yet its loss occurs across multiple neurodegenerative diseases. However, the role of LC in Parkinson’s disease (PD) remains controversial. In this study, we recruited 37 patients with PD, 18 patients with mild cognitive impairment (MCI), and 27 healthy controls (HC). All participants underwent clinical assessments and multimodal MRI acquisition. Neuromelanin-sensitive MRI (NM-MRI) was used to quantify neuromelanin loss in substantia nigra pars compacta (SNpc) and LC, while 3D T1-weighted imaging and BOLD-fMRI were employed to assess structural and functional brain networks, respectively. Voxel-based and surface-based morphometry revealed PD was primarily associated with impairments in visual, control, and somatomotor network, whereas MCI predominantly involved dysfunction of default mode network. The contrast-to-noise ratio in both SNpc and LC was significantly reduced in PD. In contrast, MCI patients showed no apparent SNpc alterations but exhibited significant neuromelanin loss in LC. Graph theory analysis demonstrated pathological hyper-efficiency in the functional connectivity network of PD, with compensatory or maladaptive nodal changes varying across disease-related networks. Network-level analysis indicated that the effects of SNpc pathology on cortical morphological similarity and functional connectivity were complementary during PD progression. Moreover, LC exerted a functional compensatory influence on SNpc in PD, while SNpc showed particularly strong coupling with cortical morphological similarity in visual network. Hidden Markov model analysis further revealed PD was characterized by a reduced number of dynamic brain network states and a decreased state-switching rate, which was more strongly modulated by LC pathology. Collectively, these findings suggest that LC plays a substantial functional compensatory role for substantia nigra in PD.

Authors

Institutions

Publication Details

Journal
BMC Neurology
Published
2026-11-02
DOI
https://doi.org/10.1186/s12883-026-05535-8
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential functional compensation of substantia nigra by locus coeruleus in Parkinson’s disease

Wenchao Duan, Luhao Cui, Fangang Meng, Qiang Liu et al.
2 links
BMC Neurology
Parkinson's Disease Mechanisms and Treatments
article

Potential functional compensation of substantia nigra by locus coeruleus in Parkinson’s disease

Wenchao Duan, Luhao Cui, Fangang Meng, Qiang Liu, Teng Chen, Yilei Xiao, Ruihua Hou, ZeZhong Zheng, Feng Xue, Pan Wang, Qichao Cheng
article en

Abstract

Abstract Neuromelanin is abundant in locus coeruleus (LC), yet its loss occurs across multiple neurodegenerative diseases. However, the role of LC in Parkinson’s disease (PD) remains controversial. In this study, we recruited 37 patients with PD, 18 patients with mild cognitive impairment (MCI), and 27 healthy controls (HC). All participants underwent clinical assessments and multimodal MRI acquisition. Neuromelanin-sensitive MRI (NM-MRI) was used to quantify neuromelanin loss in substantia nigra pars compacta (SNpc) and LC, while 3D T1-weighted imaging and BOLD-fMRI were employed to assess structural and functional brain networks, respectively. Voxel-based and surface-based morphometry revealed PD was primarily associated with impairments in visual, control, and somatomotor network, whereas MCI predominantly involved dysfunction of default mode network. The contrast-to-noise ratio in both SNpc and LC was significantly reduced in PD. In contrast, MCI patients showed no apparent SNpc alterations but exhibited significant neuromelanin loss in LC. Graph theory analysis demonstrated pathological hyper-efficiency in the functional connectivity network of PD, with compensatory or maladaptive nodal changes varying across disease-related networks. Network-level analysis indicated that the effects of SNpc pathology on cortical morphological similarity and functional connectivity were complementary during PD progression. Moreover, LC exerted a functional compensatory influence on SNpc in PD, while SNpc showed particularly strong coupling with cortical morphological similarity in visual network. Hidden Markov model analysis further revealed PD was characterized by a reduced number of dynamic brain network states and a decreased state-switching rate, which was more strongly modulated by LC pathology. Collectively, these findings suggest that LC plays a substantial functional compensatory role for substantia nigra in PD.

BMC Neurology
Shandong University (CN), Capital Medical University (CN), Beijing Tian Tan Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN), Liaocheng People's Hospital (CN), Qilu Hospital of Shandong University (CN), University of Southampton (GB)
National Natural Science Foundation of China, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 53%
Parkinson's Disease Mechanisms and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon