Title |
Neuroimaging correlates of pathologically defined subtypes of Alzheimer's disease: a case-control study
|
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Published in |
Lancet Neurology, September 2012
|
DOI | 10.1016/s1474-4422(12)70200-4 |
Pubmed ID | |
Authors |
Jennifer L Whitwell, Dennis W Dickson, Melissa E Murray, Stephen D Weigand, Nirubol Tosakulwong, Matthew L Senjem, David S Knopman, Bradley F Boeve, Joseph E Parisi, Ronald C Petersen, Clifford R Jack, Keith A Josephs |
Abstract |
Three subtypes of Alzheimer's disease (AD) have been pathologically defined on the basis of the distribution of neurofibrillary tangles: typical AD, hippocampal-sparing AD, and limbic-predominant AD. Compared with typical AD, hippocampal-sparing AD has more neurofibrillary tangles in the cortex and fewer in the hippocampus, whereas the opposite pattern is seen in limbic-predominant AD. We aimed to determine whether MRI patterns of atrophy differ between these subtypes and whether structural neuroimaging could be a useful predictor of pathological subtype at autopsy. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Saudi Arabia | 2 | 22% |
United Kingdom | 2 | 22% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Scientists | 1 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 1% |
United Kingdom | 4 | 1% |
Canada | 2 | <1% |
France | 1 | <1% |
Italy | 1 | <1% |
Germany | 1 | <1% |
Switzerland | 1 | <1% |
Japan | 1 | <1% |
Czechia | 1 | <1% |
Other | 0 | 0% |
Unknown | 346 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 70 | 19% |
Researcher | 58 | 16% |
Student > Master | 34 | 9% |
Student > Bachelor | 28 | 8% |
Student > Postgraduate | 23 | 6% |
Other | 82 | 23% |
Unknown | 68 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 83 | 23% |
Neuroscience | 81 | 22% |
Psychology | 27 | 7% |
Agricultural and Biological Sciences | 23 | 6% |
Computer Science | 19 | 5% |
Other | 43 | 12% |
Unknown | 87 | 24% |