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Neuroimaging characteristics of dementia with Lewy bodies

Overview of attention for article published in Alzheimer's Research & Therapy, April 2014
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Title
Neuroimaging characteristics of dementia with Lewy bodies
Published in
Alzheimer's Research & Therapy, April 2014
DOI 10.1186/alzrt248
Pubmed ID
Authors

Elijah Mak, Li Su, Guy B Williams, John T O’Brien

Abstract

This review summarises the findings and applications from neuroimaging studies in dementia with Lewy bodies (DLB), highlighting key differences between DLB and other subtypes of dementia. We also discuss the increasingly important role of imaging biomarkers in differential diagnosis and outline promising areas for future research in DLB. DLB shares common clinical, neuropsychological and pathological features with Parkinson's disease dementia and other dementia subtypes, such as Alzheimer's disease. Despite the development of consensus diagnostic criteria, the sensitivity for differential diagnosis of DLB in clinical practice remains low and many DLB patients will be misdiagnosed. The importance of developing accurate imaging markers in dementia is highlighted by the potential for treatments targeting specific molecular abnormalities as well as the responsiveness to cholinesterase inhibitors and marked neuroleptic sensitivity of DLB. We review various brain imaging techniques that have been applied to investigate DLB, including the characteristic nigrostriatal degeneration in DLB using positron emission tomography (PET) and single-photon emission computed tomography (SPECT) tracers. Dopamine transporter loss has proven to reliably differentiate DLB from other dementias and has been incorporated into the revised clinical diagnostic criteria for DLB. To date, this remains the 'gold standard' for diagnostic imaging of DLB. Regional cerebral blood flow, 18 F-fluorodeoxygluclose-PET and SPECT have also identified marked deficits in the occipital regions with relative sparing of the medial temporal lobe when compared to Alzheimer's disease. In addition, structural, diffusion, and functional magnetic resonance imaging techniques have shown alterations in structure, white matter integrity, and functional activity in DLB. We argue that the multimodal identification of DLB-specific biomarkers has the potential to improve ante-mortem diagnosis and contribute to our understanding of the pathological background of DLB and its progression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 198 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 16%
Student > Ph. D. Student 32 16%
Student > Bachelor 29 14%
Student > Master 23 11%
Student > Postgraduate 13 6%
Other 39 19%
Unknown 36 18%
Readers by discipline Count As %
Medicine and Dentistry 63 31%
Neuroscience 31 15%
Psychology 26 13%
Agricultural and Biological Sciences 15 7%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 16 8%
Unknown 49 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2021.
All research outputs
#15,516,483
of 25,371,288 outputs
Outputs from Alzheimer's Research & Therapy
#1,311
of 1,464 outputs
Outputs of similar age
#126,190
of 241,343 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#10
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 241,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.