Title |
Associations Between Alzheimer Disease Biomarkers, Neurodegeneration, and Cognition in Cognitively Normal Older People
|
---|---|
Published in |
JAMA Neurology, October 2013
|
DOI | 10.1001/jamaneurol.2013.4013 |
Pubmed ID | |
Authors |
Miranka Wirth, Sylvia Villeneuve, Claudia M. Haase, Cindee M. Madison, Hwamee Oh, Susan M. Landau, Gil D. Rabinovici, William J. Jagust |
Abstract |
Criteria for preclinical Alzheimer disease (AD) propose β-amyloid (Aβ) plaques to initiate neurodegeneration within AD-affected regions. However, some cognitively normal older individuals harbor neural injury similar to patients with AD, without concurrent Aβ burden. Such findings challenge the proposed sequence and suggest that Aβ-independent precursors underlie AD-typical neurodegenerative patterns. OBJECTIVE To examine relationships between Aβ and non-Aβ factors as well as neurodegeneration within AD regions in cognitively normal older adults. The study quantified neurodegenerative abnormalities using imaging biomarkers and examined cross-sectional relationships with Aβ deposition; white matter lesions (WMLs), a marker of cerebrovascular disease; and cognitive functions. |
X Demographics
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Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 29% |
France | 1 | 14% |
Australia | 1 | 14% |
Spain | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 1% |
United States | 4 | 1% |
Canada | 3 | 1% |
Spain | 2 | <1% |
United Kingdom | 1 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Sweden | 1 | <1% |
Unknown | 264 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 52 | 19% |
Researcher | 46 | 16% |
Student > Master | 42 | 15% |
Student > Doctoral Student | 25 | 9% |
Student > Bachelor | 24 | 9% |
Other | 45 | 16% |
Unknown | 47 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 60 | 21% |
Neuroscience | 55 | 20% |
Psychology | 47 | 17% |
Agricultural and Biological Sciences | 19 | 7% |
Computer Science | 5 | 2% |
Other | 27 | 10% |
Unknown | 68 | 24% |