Large-scale network dysfunction in α-Synucleinopathy: A meta-analysis of resting-state functional connectivity

Tang, Shi; Wang, Yanlin; Liu, Yaping; Chau, Chi-Kin; Chan, Joey Wy; Chu, Winnie C.W.; Abrigo, Jill; Mok, Vincent; Wing, Yun Kwok

doi:10.1016/j.ebiom.2022.103915

Cited by 21 publications

(15 citation statements)

References 139 publications

(146 reference statements)

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“…34 A meta-analysis of 72 publications supported the concept that network dysfunction is tightly linked to motor, cognitive, and psychiatric symptoms. 35 Although the scoring system for cortical proteinopathy in our study provides limited regional information, metabolic imaging studies suggested that hypometabolism in visual association and posterior cingulate cortices occurs early in the course of declining cognition in PD with more widespread cortical changes occurring with disease progression. 36 Studies correlating regional cortical proteinopathy and metabolism have not been published.…”

Section: Discussionmentioning

confidence: 68%

Neocortical Lewy Body Pathology Parallels Parkinson's Dementia, but Not Always

Martin

Younce

Campbell

et al. 2022

Annals of Neurology

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Section: Discussionmentioning

confidence: 68%

Neocortical Lewy Body Pathology Parallels Parkinson's Dementia, but Not Always

Martin

Younce

Campbell

et al. 2022

Annals of Neurology

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“…Resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a powerful tool that offers a potential means of identifying novel, sensitive biomarker signatures associated with specific brain disorders ( 3 – 6 ). A growing body of evidence suggests that abnormal changes in patients with SCH are primarily found in the striatum ( 7 ), temporal lobe ( 8 ), default-mode network (DMN) ( 9 ), and frontoparietal network ( 10 ), although the specific nature of these changes has varied across studies, with some reporting functional signal increases ( 11 – 13 ), decreases ( 14 ), or both ( 15 ). These discrepant findings may be attributable to the differences in sample size, disease course, and the analytical methods employed ( 16 , 17 ).…”

Section: Introductionmentioning

confidence: 99%

Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia: An amplitude of low-frequency fluctuation and support vector machine analysis

Gao

Tong

Huang³

et al. 2022

Front. Psychiatry

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ObjectiveSchizophrenia (SCH) is primarily diagnosed based on specific clinical symptoms, with the lack of any objective SCH-related biomarkers often resulting in patient misdiagnosis and the underdiagnosis of this condition. This study was developed to assess the utility of amplitude of low-frequency fluctuation (ALFF) values analyzed via support vector machine (SVM) methods as a means of diagnosing SCH.MethodsIn total, 131 SCH patients and 128 age- and gender-matched healthy control (HC) individuals underwent resting-state functional magnetic resonance imaging (rs-fMRI), with the resultant data then being analyzed using ALFF values and SVM methods.ResultsRelative to HC individuals, patients with SCH exhibited ALFF reductions in the left angular gyrus (AG), fusiform gyrus, anterior cingulate cortex (ACC), right cerebellum, bilateral middle temporal gyrus (MTG), and precuneus (PCu) regions. No SCH patient brain regions exhibited significant increases in ALFF relative to HC individuals. SVM results indicated that reductions in ALFF values in the bilateral PCu can be used to effectively differentiate between SCH patients and HCs with respective accuracy, sensitivity, and specificity values of 73.36, 91.60, and 54.69%.ConclusionThese data indicate that SCH patients may exhibit characteristic reductions in regional brain activity, with decreased ALFF values of the bilateral PCu potentially offering value as a candidate biomarker capable of distinguishing between SCH patients and HCs.

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“…Although PD is a neurodegenerative disease, only part of the symptoms is directly linked to dopaminergic neuronal loss, and the role of FC alterations in determining the remaining symptom burden is increasingly evident 25 , 26 . From this standpoint, the clearer understanding of how the loss of dopaminergic innervation influences the balance of cortico-subcortical loops, provided by the current approach, adds to the current knowledge of FC alterations in PD, and has potential to promote the development of new disease monitoring processes and therapeutic intervention strategies.…”

Section: Discussionmentioning

confidence: 99%

Functional connectivity of the cortico-subcortical sensorimotor loop is modulated by the severity of nigrostriatal dopaminergic denervation in Parkinson’s Disease

Quarantelli

Quattrone

Sarica

et al. 2022

npj Parkinsons Dis.

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To assess if the severity of nigrostriatal innervation loss affects the functional connectivity (FC) of the sensorimotor cortico-striato-thalamic-cortical loop (CSTCL) in Parkinson’s Disease (PD), Resting-State functional MRI and 18F-DOPA PET data, simultaneously acquired on a hybrid PET/MRI scanner, were retrospectively analyzed in 39 PD and 16 essential tremor patients. Correlations between posterior Putamen DOPA Uptake (pPDU) and the FC of the main CSTCL hubs were assessed separately in the two groups, analyzing the differences between the two groups by a group-by-pPDU interaction analysis of the resulting clusters’ FC. Unlike in essential tremor, in PD patients pPDU correlated inversely with the FC of the thalamus with the sensorimotor cortices, and of the postcentral gyrus with the dorsal cerebellum, and directly with the FC of pre- and post-central gyri with both the superior and middle temporal gyri and the paracentral lobule, and of the caudate with the superior parietal cortex. The interaction analysis confirmed the significance of the difference between the two groups in these correlations. In PD patients, the post-central cortex FC, in the clusters correlating directly with pPDU, negatively correlated with both UPDRS motor examination score and Hoehn and Yahr stage, independent of the pPDU, suggesting that these FC changes contribute to motor impairment. In PD, nigrostriatal innervation loss correlates with a decrease in the FC within the sensorimotor network and between the sensorimotor network and the superior temporal cortices, possibly contributing to motor impairment, and with a strengthening of the thalamo-cortical FC, that may represent ineffective compensatory phenomena.

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Large-scale network dysfunction in α-Synucleinopathy: A meta-analysis of resting-state functional connectivity

Cited by 21 publications

References 139 publications

Neocortical Lewy Body Pathology Parallels Parkinson's Dementia, but Not Always

Neocortical Lewy Body Pathology Parallels Parkinson's Dementia, but Not Always

Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia: An amplitude of low-frequency fluctuation and support vector machine analysis

Functional connectivity of the cortico-subcortical sensorimotor loop is modulated by the severity of nigrostriatal dopaminergic denervation in Parkinson’s Disease

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