ArticleEuropean journal of nuclear medicine and molecular imaging2007
Quantification of Parkinson's disease-related network expression with ECD SPECT.
Article in European journal of nuclear medicine and molecular imaging, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Multivariate spatial covariance analysis of 99mTc-exametazime SPECT images in dementia with Lewy bodies and Alzheimer's disease: utility in differential diagnosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2013Trial
- Correlation of Parkinson's disease severity andQuantitative imaging in medicine and surgery · 2025Article
- Article
- The role of neuroimaging in Parkinson's disease.Journal of neurochemistry · 2021Review
- The Metabolic Activity of Caudate and Prefrontal Cortex Negatively Correlates with the Severity of Idiopathic Parkinson's Disease.Aging and disease · 2019Article
- A New Metabolic Network Correlated with Olfactory and Executive Dysfunctions in Idiopathic Rapid Eye Movement Sleep Behavior Disorder.Journal of clinical neurology (Seoul, Korea) · 2019Article
- Validation of abnormal glucose metabolism associated with Parkinson's disease in Chinese participants based on 18F-fluorodeoxyglucose positron emission tomography imaging.Neuropsychiatric disease and treatment · 2018Article
- Abnormal metabolic brain network associated with Parkinson's disease: replication on a new European sample.Neuroradiology · 2017Article
- Imaging biomarkers in Parkinson's disease and Parkinsonian syndromes: current and emerging concepts.Translational neurodegeneration · 2017Review
- Article
- Neuroimaging of Parkinson's disease: Expanding views.Neuroscience and biobehavioral reviews · 2015Review
- Parkinson's disease-related spatial covariance pattern identified with resting-state functional MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015Article
- Regional covariance of muscarinic acetylcholine receptors in Alzheimer's disease using (R, R) [(123)I]-QNB SPECT.Journal of neurology · 2015Article
- Dysfunctional putamen modulation during bimanual finger-to-thumb movement in patients with Parkinson's disease.Frontiers in human neuroscience · 2015Article
- Brain network markers of abnormal cerebral glucose metabolism and blood flow in Parkinson's disease.Neuroscience bulletin · 2014Review
- [Differential diagnostics of Parkinson's disease with nuclear medicine procedures].Der Nervenarzt · 2014Review
- Characterization of disease-related covariance topographies with SSMPCA toolbox: effects of spatial normalization and PET scanners.Human brain mapping · 2014Article
- Article
- Covariant perfusion patterns provide clues to the origin of cognitive fluctuations and attentional dysfunction in dementia with Lewy bodies.International psychogeriatrics · 2013Article
- Identification of disease-related spatial covariance patterns using neuroimaging data.Journal of visualized experiments : JoVE · 2013Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSpatial covariance analysis has been used with FDG PET to identify a specific metabolic network associated with Parkinson's disease (PD). In the current study, we utilized a new, fully automated voxel-based method to quantify network expression in ECD SPECT images from patients with classical PD, patients with multiple system atrophy (MSA), and healthy control subjects.
methodsWe applied a previously validated voxel-based PD-related covariance pattern (PDRP) to quantify network expression in the ECD SPECT scans of 35 PD patients, 15 age- and disease severity-matched MSA patients, and 35 age-matched healthy control subjects. PDRP scores were compared across groups using analysis of variance. The sensitivity and specificity of the prospectively computed PDRP scores in the differential diagnosis of individual subjects were assessed by receiver operating characteristic (ROC) analysis.
resultsPDRP scores were significantly increased (p < 0.001) in the PD group relative to the MSA and control groups. ROC analysis indicated that the overall diagnostic accuracy of the PDRP measures was 0.91 (AUC). The optimal cutoff value was consistent with a sensitivity of 0.97 and a specificity of 0.80 and 0.71 for discriminating PD patients from MSA and normal controls, respectively.
conclusionOur findings suggest that fully automated voxel-based network assessment techniques can be used to quantify network expression in the ECD SPECT scans of parkinsonian patients.
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