Modulation effect of substantia nigra iron deposition and functional connectivity on putamen glucose metabolism in Parkinson's disease

Zang, Zhenxiang; Song, Tianbin; Li, Jiping; Yan, Shaozhen; Nie, Binbin; Mei, Shanshan; Ma, Jie; Yu, Yang; Shan, Baoci; Zhang, Yuqing; Lu, Jie

doi:10.1002/hbm.25880

Cited by 11 publications

(3 citation statements)

References 48 publications

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“…After providing written informed consent, simultaneous PET/fMRI data were collected from 42 PD patients and age-and-sex balanced 25 HCs. Our data were previously reported (Zang et al, 2022a , b ) where we investigated basal ganglia functional-metabolic features. Here, we instead focus on the sensorimotor cortex.…”

Section: Methodsmentioning

confidence: 59%

Severity-dependent functional connectome and the association with glucose metabolism in the sensorimotor cortex of Parkinson's disease

Zang

Song

et al. 2023

Front. Neurosci.

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Functional MRI studies have achieved promising outcomes in revealing abnormal functional connectivity in Parkinson's disease (PD). The primary sensorimotor area (PSMA) received a large amount of attention because it closely correlates with motor deficits. While functional connectivity represents signaling between PSMA and other brain regions, the metabolic mechanism behind PSMA connectivity has rarely been well established. By introducing hybrid PET/MRI scanning, the current study enrolled 33 advanced PD patients during medication-off condition and 25 age-and-sex-matched healthy controls (HCs), aiming to not only identify the abnormal functional connectome pattern of the PSMA, but also to simultaneously investigate how PSMA functional connectome correlates with glucose metabolism. We calculated degree centrality (DC) and the ratio of standard uptake value (SUVr) using resting state fMRI and 18F-FDG-PET data. A two-sample t-test revealed significantly decreased PSMA DC (PFWE < 0.014) in PD patients. The PSMA DC also correlated negatively with H-Y stage (P = 0.031). We found a widespread reduction of H-Y stage associated (P-values < 0.041) functional connectivity between PSMA and the visual network, attention network, somatomotor network, limbic network, frontoparietal network as well as the default mode network. The PSMA DC correlated positively with FDG-uptake in the HCs (P = 0.039) but not in the PD patients (P > 0.44). In summary, we identified disease severity-dependent PSMA functional connectome which in addition uncoupled with glucose metabolism in PD patients. The current study highlighted the critical role of simultaneous PET/fMRI in revealing the functional-metabolic mechanism in the PSMA of PD patients.

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Section: Methodsmentioning

confidence: 59%

Severity-dependent functional connectome and the association with glucose metabolism in the sensorimotor cortex of Parkinson's disease

Zang

Song

et al. 2023

Front. Neurosci.

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“…All participants provided written informed consent. The hybrid PET/MRI dataset was published in our previous studies (Zang, Song, Li, Nie, et al, 2022; Zang, Song, Li, Yan, et al, 2022). All PD patients were diagnosed with the movement disorder‐PD criteria (Postuma et al, 2015; Postuma et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Association between gene expression and functional‐metabolic architecture in Parkinson's disease

Zang,

Zhang,

Song

et al. 2023

Human Brain Mapping

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Gene expression plays a critical role in the pathogenesis of Parkinson's disease (PD). How gene expression profiles are correlated with functional‐metabolic architecture remains obscure. We enrolled 34 PD patients and 25 age‐and‐sex‐matched healthy controls for simultaneous 18F‐FDG‐PET/functional MRI scanning during resting state. We investigated the functional gradients and the ratio of standard uptake value. Principal component analysis was used to further combine the functional gradients and glucose metabolism into functional‐metabolic architecture. Using partial least squares (PLS) regression, we introduced the transcriptomic data from the Allen Institute of Brain Sciences to identify gene expression patterns underlying the affected functional‐metabolic architecture in PD. Between‐group comparisons revealed significantly higher gradient variation in the visual, somatomotor, dorsal attention, frontoparietal, default mode, and subcortical network (pFDR < .048) in PD. Increased FDG‐uptake was found in the somatomotor and ventral attention network while decreased FDG‐uptake was found in the visual network (pFDR < .008). Spatial correlation analysis showed consistently affected patterns of functional gradients and metabolism (p = 2.47 × 10−8). PLS analysis and gene ontological analyses further revealed that genes were mainly enriched for metabolic, catabolic, cellular response to ions, and regulation of DNA transcription and RNA biosynthesis. In conclusion, our study provided genetic pathological mechanism to explain imaging‐defined brain functional‐metabolic architecture of PD.

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“…In comparison, it is usually called a functional connection or network (including a complex network based on graph theory, etc.) if it measures the relationship between multiple time series far away from each other [14]. Resting-state functional connectivity (rsFC), indexed by correlations in low-frequency fluctuation of the resting-state fMRI signal, examines the brain regions under spontaneous fluctuations and may characterize the intrinsic functional organization of the brain [15].…”

Section: Introductionmentioning

confidence: 99%

Higher betweenness and degree centrality in the frontal and cerebellum cortex of Meige’s syndrome patients than hemifacial spasm patients

et al. 2022

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Meige’s syndrome and hemifacial spasm (HFS) are two different forms of dystonic movement disorder, but their difference in terms of resting state functional connectivity (rsFC) remains unclear. The present study applied resting state fMRI on the patients and quantified their functional connectivity with graph theoretical measures, including the degree centrality and the betweenness centrality. Fifteen Meige’s syndrome patients and 19 HFS patients matched in age and gender were recruited and their MRI data were collected. To analyze the rsFC, we adopted the Anatomical Automatic Labeling (AAL) template, a brain atlas system including 90 regions of interest (ROIs) covering all the brain regions of cerebral cortex. For each participant, the time-course of each ROI was extracted, and the corresponding degree centrality and betweenness centrality of each ROI were computed. These measures were then compared between the Meige’s syndrome patients and the HFS patients. Meige’s syndrome patients showed higher betweenness centrality and degree centrality of bilateral superior medial frontal cortex, the left cerebellum cortex, etc. than the HFS patients. Our results suggest that the rsFC pattern in Meige’s syndrome patients might become more centralized toward the prefrontal and vestibular cerebellar systems, indicating less flexibility in their functional connections. These results preliminarily revealed the characteristic abnormality in the functional connection of Meige’s patients and may help to explore better treatment.

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Modulation effect of substantia nigra iron deposition and functional connectivity on putamen glucose metabolism in Parkinson's disease

Cited by 11 publications

References 48 publications

Severity-dependent functional connectome and the association with glucose metabolism in the sensorimotor cortex of Parkinson's disease

Severity-dependent functional connectome and the association with glucose metabolism in the sensorimotor cortex of Parkinson's disease

Association between gene expression and functional‐metabolic architecture in Parkinson's disease

Higher betweenness and degree centrality in the frontal and cerebellum cortex of Meige’s syndrome patients than hemifacial spasm patients

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