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. 2012 May;33(5):845-55.
doi: 10.1016/j.neurobiolaging.2010.07.012. Epub 2010 Sep 19.

Nonlinear time course of brain volume loss in cognitively normal and impaired elders

Norbert Schuff  1 , Duygu Tosun, Philip S Insel, Gloria C Chiang, Diana Truran, Paul S Aisen, Clifford R Jack Jr, Michael W Weiner; Alzheimer's Disease Neuroimaging Initiative
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V体育官网 - Nonlinear time course of brain volume loss in cognitively normal and impaired elders

Norbert Schuff et al. Neurobiol Aging. 2012 May.

Abstract

The goal was to elucidate the time course of regional brain atrophy rates relative to age in cognitively normal (CN) aging, mild cognitively impairment (MCI), and Alzheimer's disease (AD), without a priori models for atrophy progression. Regional brain volumes from 147 cognitively normal subjects, 164 stable MCI, 93 MCI-to-AD converters and 111 ad patients, between 51 and 91 years old and who had repeated 1. 5 T magnetic resonance imaging (MRI) scans over 30 months, were analyzed. Relations between regional brain volume change and age were determined using generalized additive models, an established nonparametric concept for approximating nonlinear relations. Brain atrophy rates varied nonlinearly with age, predominantly in regions of the temporal lobe. Moreover, the atrophy rates of some regions leveled off with increasing age in control and stable MCI subjects whereas those rates progressed further in MCI-to-AD converters and AD patients VSports手机版. The approach has potential uses for early detection of AD and differentiation between stable and progressing MCI. .

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VSports app下载 - Conflict of interest statement

The remaining authors have no potential financial or personal conflicts of interest including relationships with other people or organizations within 3 years of beginning the work submitted that could inappropriately influence their work.

Figures

Figure 1
Figure 1
Individual trajectories of hippocampal volumes as a function of age from 385 (75%) randomly selected subjects of the study. Raw data are shown in the top row and fitted data in the bottom row. The data is shown separately for cognitive normal subjects, subjects with stable mild cognitive impairments (sMCI), subjects with MCI who converted to Alzheimer’s disease (cMCI), and patients with a diagnosis of Alzheimer’s disease (AD).
Figure 2
Figure 2
Estimations of brain volume loss and ventricular dilation as a function of age by diagnostic group. Shown are dilation of the lateral ventricles (LV) and volume loss of white matter (WM) and cortical gray matter (GM), in order of significance of nonlinearity (see table 2). Solid lines represent mean volume loss, shaded areas indicate the 95% confidence bands, and rugs at the bottom of each plot indicate the age sampling. Volume loss in each group is referenced relative to the overall mean volume of the corresponding brain region in the control group. Hence, positive values indicate larger volumes and negative values indicate smaller volumes than the overall reference mean volume.
Figure 3
Figure 3
Estimations of brain volume loss as a function of age by diagnostic group for temporal lobe regions. Shown are volume loss of the parahippocampal gyrus (PG), fusiform gyrus (FG), hippocampus (HP), transverse temporal lobe gray matter (TT), entorhinal cortex (EC), and superior temporal lobe gray matter (ST), in order of the significance of nonlinearity (see table 2). The figure representations of volume loss are the same than those in Figure 2.
Figure 4
Figure 4
Estimations of brain volume loss as a function of age by diagnostic group for frontal and parietal lobe regions. Shown are volume loss of the posterior cingulate gray matter (PC), precentral gray matter (PR), lateral orbitofrontal lobe gray matter (LO), medial orbitofrontal lobe gray matter (MO), inferior parietal lobe gray matter (IP), and superior frontal lobe gray matter (SF). The figure representations of volume loss are the same than those in Figure 2.
See this image and copyright information in PMC

V体育官网入口 - References

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