Principles of brain aging: Status and challenges of modeling human molecular changes in mice

Molecular changes in brain aging and Alzheimer's disease are mirrored in experimentally silenced cortical neuron networks

Neurobiology of Aging ◽

10.1016/j.neurobiolaging.2010.08.012 ◽

2012 ◽

Vol 33 (1) ◽

pp. 205.e1-205.e18 ◽

Cited By ~ 16

Author(s):

Marc Gleichmann ◽

Yongqing Zhang ◽

William H. Wood ◽

Kevin G. Becker ◽

Mohamed R. Mughal ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cortical Neuron ◽

Brain Aging ◽

Molecular Changes ◽

Neuron Networks

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Cell biological and molecular changes in benign and malignant breast disease-implications for future classification

European Journal of Cancer ◽

10.1016/s0959-8049(02)80122-8 ◽

2002 ◽

Vol 38 (11) ◽

pp. S48

Author(s):

W Boecker

Keyword(s):

Breast Disease ◽

Molecular Changes ◽

Malignant Breast

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Longitudinal Changes in Individual BrainAGE in Healthy Aging, Mild Cognitive Impairment, and Alzheimer’s Disease

GeroPsych ◽

10.1024/1662-9647/a000074 ◽

2012 ◽

Vol 25 (4) ◽

pp. 235-245 ◽

Cited By ~ 64

Author(s):

Katja Franke ◽

Christian Gaser

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Healthy Aging ◽

Brain Aging ◽

Elderly Subjects ◽

Additional Increase ◽

Longitudinal Changes ◽

Novel Method ◽

The Brain

We recently proposed a novel method that aggregates the multidimensional aging pattern across the brain to a single value. This method proved to provide stable and reliable estimates of brain aging – even across different scanners. While investigating longitudinal changes in BrainAGE in about 400 elderly subjects, we discovered that patients with Alzheimer’s disease and subjects who had converted to AD within 3 years showed accelerated brain atrophy by +6 years at baseline. An additional increase in BrainAGE accumulated to a score of about +9 years during follow-up. Accelerated brain aging was related to prospective cognitive decline and disease severity. In conclusion, the BrainAGE framework indicates discrepancies in brain aging and could thus serve as an indicator for cognitive functioning in the future.

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