MRI-based volumetry of head compartments: Normative values of healthy adults

Kruggel, Frithjof

doi:10.1016/j.neuroimage.2005.09.063

Cited by 121 publications

(89 citation statements)

References 45 publications

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“…Indeed, although many studies have described the influence of age and sex on brain volumes (Fjell et al, 2013;Luders et al, 2009;Pfefferbaum et al, 2013;Walhovd et al, 2011), very few attempts have been made to produce proper neuroanatomical volumetric normative data (Brain Development Cooperative Group, 2012;Kruggel, 2006). The many obstacles inherent to neuroimaging research likely undermine this shortcoming.…”

Section: Introductionmentioning

confidence: 99%

Normative data for subcortical regional volumes over the lifetime of the adult human brain

et al. 2016

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Normative data for volumetric estimates of brain structures are necessary to adequately assess brain volume alterations in individuals with suspected neurological or psychiatric conditions. Although many studies have described age and sex effects in healthy individuals for brain morphometry assessed via magnetic resonance imaging, proper normative values allowing to quantify potential brain abnormalities are needed. We developed norms for volumetric estimates of subcortical brain regions based on cross-sectional magnetic resonance scans from 2790 healthy individuals aged 18 to 94 years using 23 samples provided by 21 independent research groups. The segmentation was conducted using FreeSurfer, a widely used and freely available automated segmentation software. Models predicting subcortical regional volumes of each hemisphere were produced including age, sex, estimated total intracranial volume (eTIV), scanner manufacturer, magnetic field strength, and interactions as predictors. The mean explained variance by the models was 48%. For most regions, age, sex and eTIV predicted most of the explained variance while manufacturer, magnetic field strength and interactions predicted a limited amount. Estimates of the expected volumes of an individual based on its characteristics and the scanner characteristics can be obtained using derived formulas. For a new individual, significance test for volume abnormality, effect size and estimated percentage of the normative population with a smaller volume can be obtained. Normative values were validated in independent samples of healthy adults and in adults with Alzheimer's disease and schizophrenia.

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Section: Introductionmentioning

confidence: 99%

Normative data for subcortical regional volumes over the lifetime of the adult human brain

et al. 2016

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“…22 To measure ICV, we reconstructed coronal T1-weighted TFE MR imaging data to 5-mmthick sagittal images, which were then magnified 2-fold. The cerebrum, cerebellum, and midbrain were included in the ICV volume, together with the outer boundary of the dura mater.…”

Section: Icv and Gm/wm Volume Measurementsmentioning

confidence: 99%

Regional Volume Analysis of the Parkinson Disease Brain in Early Disease Stage: Gray Matter, White Matter, Striatum, and Thalamus

Lee

Kim

Tae

et al. 2011

AJNR Am J Neuroradiol

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“…Studies of age effects on WM volume historically show some disparity of results, such as an age-related loss that is restricted to women (Good et al 2001;Kruggel 2006), or an increase in WM volume with age (Mortamet et al 2005). However, other reports, which can vary by technique, number of subjects, screening criterion, age range, or proportion of older participants, have described global decreases of WM volume with age in both sexes (Guttmann et al 1998;Courchesne et al 2000;Ge et al 2002;Allen et al 2005).…”

mentioning

confidence: 99%

Age-related changes in human and non-human primate white matter: from myelination disturbances to cognitive decline

Kohama

Rosene

Sherman

2011

AGE

121

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The cognitive decline associated with normal aging was long believed to be due primarily to decreased synaptic density and neuron loss. Recent studies in both humans and non-human primates have challenged this idea, pointing instead to disturbances in white matter (WM) including myelin damage. Here, we review both cross-sectional and longitudinal studies in humans and non-human primates that collectively support the hypothesis that WM disturbances increase with age starting at middle age in humans, that these disturbances contribute to age-related cognitive decline, and that age-related WM changes may occur as a result of free radical damage, degenerative changes in cells in the oligodendrocyte lineage, and changes in microenvironments within WM.

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MRI-based volumetry of head compartments: Normative values of healthy adults

Cited by 121 publications

References 45 publications

Normative data for subcortical regional volumes over the lifetime of the adult human brain

Normative data for subcortical regional volumes over the lifetime of the adult human brain

Regional Volume Analysis of the Parkinson Disease Brain in Early Disease Stage: Gray Matter, White Matter, Striatum, and Thalamus

Age-related changes in human and non-human primate white matter: from myelination disturbances to cognitive decline

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