Cerebral Metabolic Relationships for Selected Brain Regions in Alzheimer's, Huntington's, and Parkinson's Diseases

Metter, E. Jeffrey; Riege, Walter H.; Kameyama, Masakuni; Kuhl, David E.; Phelps, Michael E.

doi:10.1038/jcbfm.1984.74

Cited by 78 publications

(27 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result is in accordance with previous studies in healthy and pathological subjects [11], [16], [29], [30], [63], [65].…”

Section: Resultssupporting

confidence: 94%

“…Some of these studies [29]–[31] suggest that cerebral structures whose CMRgl values are significantly correlated are functionally associated, and that the strength of this association is proportional to the magnitude of the correlation coefficient. In particular, Metter et al 1984 introduced the first study evaluating CMRgl co-variations patterns in AD patients using FDG-PET technique, assuming that the alteration of the metabolism in a single region will affect the metabolism of other brain areas with which it interrelates.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Glucose Metabolism during Resting State Reveals Abnormal Brain Networks Organization in the Alzheimer’s Disease and Mild Cognitive Impairment

2013

View full text Add to dashboard Cite

This paper aims to study the abnormal patterns of brain glucose metabolism co-variations in Alzheimer disease (AD) and Mild Cognitive Impairment (MCI) patients compared to Normal healthy controls (NC) using the Alzheimer Disease Neuroimaging Initiative (ADNI) database. The local cerebral metabolic rate for glucose (CMRgl) in a set of 90 structures belonging to the AAL atlas was obtained from Fluro-Deoxyglucose Positron Emission Tomography data in resting state. It is assumed that brain regions whose CMRgl values are significantly correlated are functionally associated; therefore, when metabolism is altered in a single region, the alteration will affect the metabolism of other brain areas with which it interrelates. The glucose metabolism network (represented by the matrix of the CMRgl co-variations among all pairs of structures) was studied using the graph theory framework. The highest concurrent fluctuations in CMRgl were basically identified between homologous cortical regions in all groups. Significant differences in CMRgl co-variations in AD and MCI groups as compared to NC were found. The AD and MCI patients showed aberrant patterns in comparison to NC subjects, as detected by global and local network properties (global and local efficiency, clustering index, and others). MCI network’s attributes showed an intermediate position between NC and AD, corroborating it as a transitional stage from normal aging to Alzheimer disease. Our study is an attempt at exploring the complex association between glucose metabolism, CMRgl covariations and the attributes of the brain network organization in AD and MCI.

show abstract

“…This result is in accordance with previous studies in healthy and pathological subjects [11], [16], [29], [30], [63], [65].…”

Section: Resultssupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Glucose Metabolism during Resting State Reveals Abnormal Brain Networks Organization in the Alzheimer’s Disease and Mild Cognitive Impairment

2013

View full text Add to dashboard Cite

show abstract

“…Metter et a!. reported in abstract form the use of correlations between rCMRglc values, as measured by PET, to examine normal aging (Metter et a!., 1983) and certain clin ical neural pathologies (Metter et a!., 1982). We shall discuss some of these studies in the con�ext of our specific results.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Intercorrelations of Glucose Metabolic Rates between Brain Regions: Application to Healthy Males in a State of Reduced Sensory Input

Horwitz

Duara

Rapoport

1984

J Cereb Blood Flow Metab

286

181

View full text Add to dashboard Cite

Summary:We use a correlational analysis of regional metabolic rates to characterize relations among different brain regions . Starting with rates of local glucose metab olism (rCMRglc) obtained by positron emission tomog raphy using [18F]fluorodeoxyglucose, we propose that pairs of brain regions whose rCMRglc values are signif icantly correlated are functionally associated, and that the strength of the association is proportional to the mag nitude of the correlation coefficient. Partial correlation coefficients, controlling for whole brain glucose metab olism, are used in the analysis . We also introduce a graph ical technique to display simultaneously all the correla tions, allowing us to examine patterns of relations among them . The method was applied to 40 very healthy males under conditions of reduced auditory and visual inputs (the "resting state") . Dividing the brain into 59 regions, and keeping only those partial correlation coefficients sig nificant to p < 0.01, we found the following: (a) All re gions were significantly correlated with their contralateral homologues. For the most part, the largest partial cor relation coefficients were between homologous brain re gions. (b) Generally, the pattern of significant correlations An important development in neuroscience has been the use of the 2-deoxY-D-glucose (2DG) tech nique to examine regional brain metabolism (So koloff et al., 1977). The coupling between nervous system function and oxidative metabolism or cere bral blood flow has been demonstrated repeatedly (Roy and Sherrington, 1890; Raichle et aI., 1976; Sokoloff, 198 1). The 2DG technique allows one to relate the regional cerebral metabolic rate for glu- 484between any two lobes in the left hemisphere did not differ statistically from the corresponding pattern in the right hemisphere. (c) Strong correlations were observed between primary somatosensory areas and premotor as sociation areas. Correlations between these association areas and primary visual and auditory regions were not statistically significant . (d) Significant correlations be tween inferior occipital and temporal areas were found. Metabolic rates in the superior part of the occipital lobe were not correlated significantly with metabolic rates in regions of the temporal lobe, nor with metabolism in the parietal lobe. (e) As a whole, there were numerous cor relations among frontal and parietal lobe regions, on the one hand, and among temporal and occipital lobe regions, on the other, but few statistically significant correlations between these two domains. We relate our results to var ious aspects of known brain anatomy, physiology, and cognitive functioning.

show abstract

“…However, they could also be examined in terms of differences in the functional connectivity between two or more brain regions. Some of the early neuroimaging studies used this method to investigate differences in interregional relationships between patients with neurodegenerative disorders and healthy subjects [e.g., (Horwitz et al, 1987; Metter et al, 1984)]. Nevertheless, the standard approach to analyzing neuroimaging data became the examination of individual brain regions via univariate statistical analysis.…”

Section: Why Use Network Analysis Of Neuroimaging Data?mentioning

confidence: 99%

Functional biomarkers for neurodegenerative disorders based on the network paradigm

Horwitz

Rowe

2011

Progress in Neurobiology

View full text Add to dashboard Cite

This commentary provides a brief introduction to the various uses that functional neuroimaging biomarkers can play in detecting, diagnosing, assessing treatment response and investigating neurodegenerative disorders. It then goes on to explain why the emphasis of much recent work has shifted to network-based biomarkers, as opposed to those that examine individual brain regions. A number of examples are referenced that illustrate the points made.

show abstract

Cerebral Metabolic Relationships for Selected Brain Regions in Alzheimer's, Huntington's, and Parkinson's Diseases

Cited by 78 publications

References 21 publications

Glucose Metabolism during Resting State Reveals Abnormal Brain Networks Organization in the Alzheimer’s Disease and Mild Cognitive Impairment

Glucose Metabolism during Resting State Reveals Abnormal Brain Networks Organization in the Alzheimer’s Disease and Mild Cognitive Impairment

Intercorrelations of Glucose Metabolic Rates between Brain Regions: Application to Healthy Males in a State of Reduced Sensory Input

Functional biomarkers for neurodegenerative disorders based on the network paradigm

Contact Info

Product

Resources

About