2011
DOI: 10.1016/j.neuroimage.2010.11.015
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Where in-vivo imaging meets cytoarchitectonics: The relationship between cortical thickness and neuronal density measured with high-resolution [18F]flumazenil-PET

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Cited by 122 publications
(95 citation statements)
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“…From equation (3), it is important to note that regional variations of V ATP must be determined from quantitative CMR glc and CMR O2 data. Here, we found V ATP calculated from quantitative PET measurements in young healthy brain to be in good agreement with absolute V ATP measured by 31 P and 13 C magnetic resonance spectroscopy (MRS). [10][11][12][13] Regardless of size, spatial coordinates, or origin of the extended RfMRI-networks that we examined, the regional distributions revealed remarkably similar OEF and OGI values that were comparable in magnitude to gray matter means.…”
Section: Introductionsupporting
confidence: 75%
“…From equation (3), it is important to note that regional variations of V ATP must be determined from quantitative CMR glc and CMR O2 data. Here, we found V ATP calculated from quantitative PET measurements in young healthy brain to be in good agreement with absolute V ATP measured by 31 P and 13 C magnetic resonance spectroscopy (MRS). [10][11][12][13] Regardless of size, spatial coordinates, or origin of the extended RfMRI-networks that we examined, the regional distributions revealed remarkably similar OEF and OGI values that were comparable in magnitude to gray matter means.…”
Section: Introductionsupporting
confidence: 75%
“…This conclusion does not make any claims about uniformity of cellular density because the measured metabolic data from PET are susceptible to partial volume effects arising from either white matter or varying cortical thickness across the entire brain. 77 We made no attempt to apply any partial volume corrections based on the cortical thickness alone, which would presumably reduce the heterogeneity of metabolic values across regions even further. Until individual voxel PET and MRI data are available on an individual subject basis, partial volume effects of gray versus white matter cannot be quantitatively addressed.…”
Section: Discussionmentioning
confidence: 99%
“…The use of small average metabolic differences across regions as evidence that some networks have greater functional importance than others (e.g., default mode network [42][43][44] does not seem justified given the much larger underlying activity that all networks and regions share. However, future studies with better spatial resolution are needed to resolve white-matter partial volume effects to represent metabolism in gray matter, especially across the cerebral cortex where graymatter thickness varies considerably, 77 such that regional differences can be more quantitatively assessed. The dependence of task-induced response on the resting brain activity strongly argues for the functional relevance of high metabolic demand of the resting awake state.…”
Section: Discussionmentioning
confidence: 99%
“…In vivo MR imaging measurements have shown regional differences in cortical thickness (22) and have revealed focal differences in cortical thickness between healthy control subjects and patients with schizophrenia (23,24), Alzheimer disease (25) or autism (26). The ability to distinguish multiple cortical layers might yield more insight into where cortical thinning mainly takes place, be it in the superficial or deep layers or diffuse in all layers.…”
Section: Discussionmentioning
confidence: 99%