Iron deposition is associated with motor and non-motor network breakdown in parkinsonism

BackgroundIron deposition has been observed in Parkinsonism and is emerging as a diagnostic marker for movement disorders. Brain functional network disruption has also been detected in parkinsonism, and is believed to be accountable for specific symptoms in parkinsonism. However, how iron deposition...

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Main Authors: Fangda Leng, Yue Gao, Fan Li, Luhua Wei, Yunchuang Sun, Fang Liu, Ying Zhu, Jianxing Qiu, Zhaoxia Wang, Yiwei Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Aging Neuroscience
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Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2024.1518155/full
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author Fangda Leng
Yue Gao
Fan Li
Luhua Wei
Yunchuang Sun
Fang Liu
Ying Zhu
Jianxing Qiu
Zhaoxia Wang
Yiwei Zhang
author_facet Fangda Leng
Yue Gao
Fan Li
Luhua Wei
Yunchuang Sun
Fang Liu
Ying Zhu
Jianxing Qiu
Zhaoxia Wang
Yiwei Zhang
author_sort Fangda Leng
collection DOAJ
description BackgroundIron deposition has been observed in Parkinsonism and is emerging as a diagnostic marker for movement disorders. Brain functional network disruption has also been detected in parkinsonism, and is believed to be accountable for specific symptoms in parkinsonism. However, how iron deposition influences brain network remains to be elucidated.MethodsWe recruited 16 Parkinson’s disease (PD), 8 multiple system atrophy (MSA) and 7 progressive supranuclear palsy (PSP) patients. T1-weighted, susceptibility weighted images and resting-state functional MRI (rs-fMRI) were acquired. Quantitative susceptibility mapping (QSM) analysis was performed to quantify iron deposition in substantia nigra, putamen and dentate nucleus. Cerebellar network, sensorimotor network, default mode network and language networks were segregated using independent analysis. Network and iron deposition status were evaluated in relation to diagnostic groups, motor and non-motor symptoms. The relationship between quantitative iron deposition and brain network status was further interrogated. To further validate the findings, 13 healthy controls and 37 PD patients who had available T1 and rs-fMRI scans were selected from Parkinson’s progression markers initiative (PPMI) database, and network analysis was performed.ResultsIn local cohort, compared to PD, MSA patients showed greater iron deposition in putamen, while PSP patients had greater iron deposition in caudate nucleus and thalamus. Cerebellar and language networks showed significant difference across diagnostic groups, while default mode network and sensorimotor network did not. MSA patients had significantly impaired cerebellar network and language networks compared to PD patients. Cerebellar network was positively associated with motor symptom scores while language network was positively associated with MoCA scores in the patients. Iron deposition was negatively associated with both networks’ activity in the patients. In PPMI cohort, impairment was found in both cerebellar and language networks in PD. Cerebellar and language networks correlated with motor and cognitive impairment, respectively.ConclusionCerebellar network and language networks are differently influenced in MSA, PD and PSP, which can serve as potential diagnostic marker. Impairment of cerebellar network and language network are associated with motor symptoms and cognitive impairment, respectively. Moreover, dysfunction of the networks is associated with iron deposition in deep nuclei (SN, DN, Putamen).
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spelling doaj-art-7d9f7d23a797411c8aea2779c8858a2a2025-01-20T07:20:18ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-01-011610.3389/fnagi.2024.15181551518155Iron deposition is associated with motor and non-motor network breakdown in parkinsonismFangda Leng0Yue Gao1Fan Li2Luhua Wei3Yunchuang Sun4Fang Liu5Ying Zhu6Jianxing Qiu7Zhaoxia Wang8Yiwei Zhang9Department of Neurology, Peking University First Hospital, Beijing, ChinaDepartment of Radiology, Peking University First Hospital, Beijing, ChinaDepartment of Neurology, Peking University First Hospital, Beijing, ChinaDepartment of Neurology, Peking University First Hospital, Beijing, ChinaDepartment of Neurology, Peking University First Hospital, Beijing, ChinaDepartment of Neurology, Tsinghua University First Hospital, Beijing, ChinaDepartment of Radiology, Peking University First Hospital, Beijing, ChinaDepartment of Radiology, Peking University First Hospital, Beijing, ChinaDepartment of Neurology, Peking University First Hospital, Beijing, ChinaDepartment of Radiology, Peking University First Hospital, Beijing, ChinaBackgroundIron deposition has been observed in Parkinsonism and is emerging as a diagnostic marker for movement disorders. Brain functional network disruption has also been detected in parkinsonism, and is believed to be accountable for specific symptoms in parkinsonism. However, how iron deposition influences brain network remains to be elucidated.MethodsWe recruited 16 Parkinson’s disease (PD), 8 multiple system atrophy (MSA) and 7 progressive supranuclear palsy (PSP) patients. T1-weighted, susceptibility weighted images and resting-state functional MRI (rs-fMRI) were acquired. Quantitative susceptibility mapping (QSM) analysis was performed to quantify iron deposition in substantia nigra, putamen and dentate nucleus. Cerebellar network, sensorimotor network, default mode network and language networks were segregated using independent analysis. Network and iron deposition status were evaluated in relation to diagnostic groups, motor and non-motor symptoms. The relationship between quantitative iron deposition and brain network status was further interrogated. To further validate the findings, 13 healthy controls and 37 PD patients who had available T1 and rs-fMRI scans were selected from Parkinson’s progression markers initiative (PPMI) database, and network analysis was performed.ResultsIn local cohort, compared to PD, MSA patients showed greater iron deposition in putamen, while PSP patients had greater iron deposition in caudate nucleus and thalamus. Cerebellar and language networks showed significant difference across diagnostic groups, while default mode network and sensorimotor network did not. MSA patients had significantly impaired cerebellar network and language networks compared to PD patients. Cerebellar network was positively associated with motor symptom scores while language network was positively associated with MoCA scores in the patients. Iron deposition was negatively associated with both networks’ activity in the patients. In PPMI cohort, impairment was found in both cerebellar and language networks in PD. Cerebellar and language networks correlated with motor and cognitive impairment, respectively.ConclusionCerebellar network and language networks are differently influenced in MSA, PD and PSP, which can serve as potential diagnostic marker. Impairment of cerebellar network and language network are associated with motor symptoms and cognitive impairment, respectively. Moreover, dysfunction of the networks is associated with iron deposition in deep nuclei (SN, DN, Putamen).https://www.frontiersin.org/articles/10.3389/fnagi.2024.1518155/fullParkinson’s diseasemultiple system atrophyprogressive supranuclear palsyiron depositionbrain network
spellingShingle Fangda Leng
Yue Gao
Fan Li
Luhua Wei
Yunchuang Sun
Fang Liu
Ying Zhu
Jianxing Qiu
Zhaoxia Wang
Yiwei Zhang
Iron deposition is associated with motor and non-motor network breakdown in parkinsonism
Frontiers in Aging Neuroscience
Parkinson’s disease
multiple system atrophy
progressive supranuclear palsy
iron deposition
brain network
title Iron deposition is associated with motor and non-motor network breakdown in parkinsonism
title_full Iron deposition is associated with motor and non-motor network breakdown in parkinsonism
title_fullStr Iron deposition is associated with motor and non-motor network breakdown in parkinsonism
title_full_unstemmed Iron deposition is associated with motor and non-motor network breakdown in parkinsonism
title_short Iron deposition is associated with motor and non-motor network breakdown in parkinsonism
title_sort iron deposition is associated with motor and non motor network breakdown in parkinsonism
topic Parkinson’s disease
multiple system atrophy
progressive supranuclear palsy
iron deposition
brain network
url https://www.frontiersin.org/articles/10.3389/fnagi.2024.1518155/full
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