ArticleHuman brain mapping2021
The default mode network and cognition in Parkinson's disease: A multimodal resting-state network approach.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Clinical evaluation and resting state fMRI analysis of virtual reality based training in Parkinson's disease through a randomized controlled trial.Scientific reports · 2022Trial
- A review of FDG-PET biomarker analysis methods in Parkinson's disease.Journal of Parkinson's disease · 2026Review
- Global network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages.Brain : a journal of neurology · 2026Article
- Quadrato Motor Training in Parkinson's Disease: Resting-State fMRI Changes and Exploratory Whole-Brain Radiomics.Bioengineering (Basel, Switzerland) · 2026Article
- Characteristics and mechanisms of cognitive impairment in Parkinson disease.Nature reviews. Neurology · 2026Review
- Early functional network alterations predict motor and cognitive decline in parkinson's disease.Scientific reports · 2025Article
- Cortical dynamics and network alterations in Parkinson's disease with mild cognitive impairment: TMS-EEG study of the posterior parietal cortex.NPJ Parkinson's disease · 2025Article
- Functional PET for mapping metabolic dynamics in Parkinson's disease.Scientific reports · 2025Article
- Convergent large-scale network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages: a worldwide ENIGMA study.medRxiv : the preprint server for health sciences · 2025Article
- Default Mode Network Functional Connectivity As a Transdiagnostic Biomarker of Cognitive Function.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Subregion-specific associations of the basal forebrain with sleep and cognition in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Using resting-state functional magnetic resonance imaging and contrastive learning to explore changes in the Parkinson's disease brain network and correlations with gait impairment.Quantitative imaging in medicine and surgery · 2025Article
- The 7 Muses of Neuro-Creative Cycle: How some patients with Parkinson's disease can unleash latent creativity.AIMS neuroscience · 2025Article
- Multimodal MRI changes associated with non-motor symptoms of rapid eye movement sleep behaviour disorder in Parkinson's disease patients.Neuroradiology · 2025Article
- Altered Cognitive Networks Connectivity in Parkinson's Disease During the Microlesion Period After Deep Brain Stimulation.CNS neuroscience & therapeutics · 2024Article
- Connectivity based on glucose dynamics reveals exaggerated sensorimotor network coupling on subject-level in Parkinson's disease.European journal of nuclear medicine and molecular imaging · 2024Article
- Resting-State Functional MRI Approaches to Parkinsonisms and Related Dementia.Current neurology and neuroscience reports · 2024Review
- Exploration of resting-state brain functional connectivity as preclinical markers for arousal prediction in prolonged disorders of consciousness: A pilot study based on functional near-infrared spectroscopy.Brain and behavior · 2024Article
- A longitudinal evaluation of personalized intrinsic network topography and cognitive decline in Parkinson's disease.The European journal of neuroscience · 2024Article
- The neurophysiological brain-fingerprint of Parkinson's disease.EBioMedicine · 2024Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Involvement of the default mode network (DMN) in cognitive symptoms of Parkinson's disease (PD) has been reported by resting-state functional MRI (rsfMRI) studies. However, the relation to metabolic measures obtained by [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) is largely unknown. We applied multimodal resting-state network analysis to clarify the association between intrinsic metabolic and functional connectivity abnormalities within the DMN and their significance for cognitive symptoms in PD. PD patients were classified into normal cognition (n = 36) and mild cognitive impairment (MCI; n = 12). The DMN was identified by applying an independent component analysis to FDG-PET and rsfMRI data of a matched subset (16 controls and 16 PD patients) of the total cohort. Besides metabolic activity, metabolic and functional connectivity within the DMN were compared between the patients' groups and healthy controls (n = 16). Glucose metabolism was significantly reduced in all DMN nodes in both patient groups compared to controls, with the lowest uptake in PD-MCI (p < .05). Increased metabolic and functional connectivity along fronto-parietal connections was identified in PD-MCI patients compared to controls and unimpaired patients. Functional connectivity negatively correlated with cognitive composite z-scores in patients (r = -.43, p = .005). The current study clarifies the commonalities of metabolic and hemodynamic measures of brain network activity and their individual significance for cognitive symptoms in PD, highlighting the added value of multimodal resting-state network approaches for identifying prospective biomarkers.
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