Abnormal Metabolic Network Activity in Parkinson'S Disease: Test—Retest Reproducibility

Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkins...

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Published inJournal of cerebral blood flow and metabolism Vol. 27; no. 3; pp. 597 - 605
Main Authors Ma, Yilong, Tang, Chengke, Spetsieris, Phoebe G, Dhawan, Vijay, Eidelberg, David
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.03.2007
Lippincott Williams & Wilkins
Sage Publications Ltd
Subjects
Online AccessGet full text
ISSN0271-678X
1559-7016
DOI10.1038/sj.jcbfm.9600358

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Abstract Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkinsonism by prospectively computing its expression (PDRP scores) in 15O-water (H215O) and 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) scans from PD patients and healthy volunteers. The reliability of this measure was also assessed within subjects using a test—retest design in mildly affected and advanced PD patients scanned at baseline and during treatment with levodopa or deep brain stimulation (DBS). We found that PDRP expression was significantly elevated in PD patients (P<0.001) relative to controls in a prospective analysis of brain scans obtained with either H215O or FDG PET. A significant correlation (R2=0.61; P<0.001) was evident between PDRP scores computed from H215O and FDG images in PD subjects scanned with both tracers. Test—retest reproducibility was very high (intraclass correlation coefficient (ICC)>0.92) for PDRP scores measured both within PET session and between sessions separated by up to 2 months. This high reproducibility was observed in both early stage and advanced PD patients scanned at baseline and during treatment. The within-subject variability of this measure was less than 10% for both unmedicated and treated conditions. These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. The quantification of PDRP expression in PD patients can serve as a potential biomarker in PET intervention studies for this disorder.
AbstractList Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkinsonism by prospectively computing its expression (PDRP scores) in (15)O-water (H(2)(15)O) and (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) scans from PD patients and healthy volunteers. The reliability of this measure was also assessed within subjects using a test-retest design in mildly affected and advanced PD patients scanned at baseline and during treatment with levodopa or deep brain stimulation (DBS). We found that PDRP expression was significantly elevated in PD patients (P<0.001) relative to controls in a prospective analysis of brain scans obtained with either H(2)(15)O or FDG PET. A significant correlation (R(2)=0.61; P<0.001) was evident between PDRP scores computed from H(2)(15)O and FDG images in PD subjects scanned with both tracers. Test-retest reproducibility was very high (intraclass correlation coefficient (ICC)>0.92) for PDRP scores measured both within PET session and between sessions separated by up to 2 months. This high reproducibility was observed in both early stage and advanced PD patients scanned at baseline and during treatment. The within-subject variability of this measure was less than 10% for both unmedicated and treated conditions. These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. The quantification of PDRP expression in PD patients can serve as a potential biomarker in PET intervention studies for this disorder.Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkinsonism by prospectively computing its expression (PDRP scores) in (15)O-water (H(2)(15)O) and (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) scans from PD patients and healthy volunteers. The reliability of this measure was also assessed within subjects using a test-retest design in mildly affected and advanced PD patients scanned at baseline and during treatment with levodopa or deep brain stimulation (DBS). We found that PDRP expression was significantly elevated in PD patients (P<0.001) relative to controls in a prospective analysis of brain scans obtained with either H(2)(15)O or FDG PET. A significant correlation (R(2)=0.61; P<0.001) was evident between PDRP scores computed from H(2)(15)O and FDG images in PD subjects scanned with both tracers. Test-retest reproducibility was very high (intraclass correlation coefficient (ICC)>0.92) for PDRP scores measured both within PET session and between sessions separated by up to 2 months. This high reproducibility was observed in both early stage and advanced PD patients scanned at baseline and during treatment. The within-subject variability of this measure was less than 10% for both unmedicated and treated conditions. These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. The quantification of PDRP expression in PD patients can serve as a potential biomarker in PET intervention studies for this disorder.
Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkinsonism by prospectively computing its expression (PDRP scores) in 15O-water (H215O) and 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) scans from PD patients and healthy volunteers. The reliability of this measure was also assessed within subjects using a test—retest design in mildly affected and advanced PD patients scanned at baseline and during treatment with levodopa or deep brain stimulation (DBS). We found that PDRP expression was significantly elevated in PD patients (P<0.001) relative to controls in a prospective analysis of brain scans obtained with either H215O or FDG PET. A significant correlation (R2=0.61; P<0.001) was evident between PDRP scores computed from H215O and FDG images in PD subjects scanned with both tracers. Test—retest reproducibility was very high (intraclass correlation coefficient (ICC)>0.92) for PDRP scores measured both within PET session and between sessions separated by up to 2 months. This high reproducibility was observed in both early stage and advanced PD patients scanned at baseline and during treatment. The within-subject variability of this measure was less than 10% for both unmedicated and treated conditions. These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. The quantification of PDRP expression in PD patients can serve as a potential biomarker in PET intervention studies for this disorder.
Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkinsonism by prospectively computing its expression (PDRP scores) in super(15)O-water (H sub(2) super(15)O) and super(18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) scans from PD patients and healthy volunteers. The reliability of this measure was also assessed within subjects using a test-retest design in mildly affected and advanced PD patients scanned at baseline and during treatment with levodopa or deep brain stimulation (DBS). We found that PDRP expression was significantly elevated in PD patients (P<0.001) relative to controls in a prospective analysis of brain scans obtained with either H sub(2) super(15)O or FDG PET. A significant correlation (R super(2)=0.61; P<0.001) was evident between PDRP scores computed from H sub(2) super(15)O and FDG images in PD subjects scanned with both tracers. Test-retest reproducibility was very high (intraclass correlation coefficient (ICC)>0.92) for PDRP scores measured both within PET session and between sessions separated by up to 2 months. This high reproducibility was observed in both early stage and advanced PD patients scanned at baseline and during treatment. The within-subject variability of this measure was less than 10% for both unmedicated and treated conditions. These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. The quantification of PDRP expression in PD patients can serve as a potential biomarker in PET intervention studies for this disorder.Journal of Cerebral Blood Flow & Metabolism (2007) 27, 597-605. doi:10.1038/sj.jcbfm.9600358; published online 28 June 2006
Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkinsonism by prospectively computing its expression (PDRP scores) in (15)O-water (H(2)(15)O) and (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) scans from PD patients and healthy volunteers. The reliability of this measure was also assessed within subjects using a test-retest design in mildly affected and advanced PD patients scanned at baseline and during treatment with levodopa or deep brain stimulation (DBS). We found that PDRP expression was significantly elevated in PD patients (P<0.001) relative to controls in a prospective analysis of brain scans obtained with either H(2)(15)O or FDG PET. A significant correlation (R(2)=0.61; P<0.001) was evident between PDRP scores computed from H(2)(15)O and FDG images in PD subjects scanned with both tracers. Test-retest reproducibility was very high (intraclass correlation coefficient (ICC)>0.92) for PDRP scores measured both within PET session and between sessions separated by up to 2 months. This high reproducibility was observed in both early stage and advanced PD patients scanned at baseline and during treatment. The within-subject variability of this measure was less than 10% for both unmedicated and treated conditions. These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. The quantification of PDRP expression in PD patients can serve as a potential biomarker in PET intervention studies for this disorder.
Parkinson’s disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has been used to assess disease progression and the response to treatment. In this study, we validated the PDRP network as a measure of parkinsonism by prospectively computing its expression (PDRP scores) in 15 O-water (H 2 15 O) and 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) scans from PD patients and healthy volunteers. The reliability of this measure was also assessed within subjects using a test–retest design in mildly affected and advanced PD patients scanned at baseline and during treatment with levodopa or deep brain stimulation (DBS). We found that PDRP expression was significantly elevated in PD patients ( P < 0.001) relative to controls in a prospective analysis of brain scans obtained with either H 2 15 O or FDG PET. A significant correlation ( R 2 = 0.61; P < 0.001) was evident between PDRP scores computed from H 2 15 O and FDG images in PD subjects scanned with both tracers. Test–retest reproducibility was very high (intraclass correlation coefficient (ICC) > 0.92) for PDRP scores measured both within PET session and between sessions separated by up to 2 months. This high reproducibility was observed in both early stage and advanced PD patients scanned at baseline and during treatment. The within-subject variability of this measure was less than 10% for both unmedicated and treated conditions. These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. The quantification of PDRP expression in PD patients can serve as a potential biomarker in PET intervention studies for this disorder.
Author Spetsieris, Phoebe G
Dhawan, Vijay
Ma, Yilong
Tang, Chengke
Eidelberg, David
AuthorAffiliation 1 Center for Neurosciences, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, USA
2 Department of Neurology and Medicine, New York University School of Medicine, Manhasset, New York, USA
AuthorAffiliation_xml – name: 1 Center for Neurosciences, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, USA
– name: 2 Department of Neurology and Medicine, New York University School of Medicine, Manhasset, New York, USA
Author_xml – sequence: 1
  givenname: Yilong
  surname: Ma
  fullname: Ma, Yilong
  email: yma@nshs.edu
– sequence: 2
  givenname: Chengke
  surname: Tang
  fullname: Tang, Chengke
– sequence: 3
  givenname: Phoebe G
  surname: Spetsieris
  fullname: Spetsieris, Phoebe G
– sequence: 4
  givenname: Vijay
  surname: Dhawan
  fullname: Dhawan, Vijay
– sequence: 5
  givenname: David
  surname: Eidelberg
  fullname: Eidelberg, David
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18999108$$DView record in Pascal Francis
https://www.ncbi.nlm.nih.gov/pubmed/16804550$$D View this record in MEDLINE/PubMed
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Issue 3
Keywords cerebral blood flow
PD
glucose metabolism
test—retest reliability
PCA
Nervous system diseases
Parkinson disease
Glucose
test-retest reliability
Test reliability
Metabolism
Cerebral disorder
Blood flow
Reproducibility
Central nervous system disease
Degenerative disease
Cerebrovascular disease
Extrapyramidal syndrome
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Snippet Parkinson's disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has...
Parkinson’s disease (PD) is associated with an abnormal pattern of regional brain function. The expression of this PD-related covariance pattern (PDRP) has...
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SubjectTerms Aged
Algorithms
Antiparkinson Agents - therapeutic use
Biological and medical sciences
Biomarkers
Brain - blood supply
Brain - diagnostic imaging
Brain - metabolism
Cardiovascular system
Cerebrovascular Circulation
Deep Brain Stimulation
Errors of metabolism
Female
Glucose - metabolism
Humans
Image Processing, Computer-Assisted - methods
Investigative techniques, diagnostic techniques (general aspects)
Levodopa - therapeutic use
Lipids (lysosomal enzyme disorders, storage diseases)
Male
Medical sciences
Metabolic diseases
Metabolic Networks and Pathways
Middle Aged
Neurology
Parkinson Disease - diagnostic imaging
Parkinson Disease - metabolism
Parkinson Disease - therapy
Parkinson's disease
Positron-Emission Tomography
Sensitivity and Specificity
Software
Ultrasonic investigative techniques
Vascular diseases and vascular malformations of the nervous system
Title Abnormal Metabolic Network Activity in Parkinson'S Disease: Test—Retest Reproducibility
URI https://journals.sagepub.com/doi/full/10.1038/sj.jcbfm.9600358
https://www.ncbi.nlm.nih.gov/pubmed/16804550
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https://www.proquest.com/docview/69035735
https://www.proquest.com/docview/876241566
https://pubmed.ncbi.nlm.nih.gov/PMC4455600
Volume 27
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