| Title |
Characterization of Atrophic Changes in the Cerebral Cortex Using Fractal Dimensional Analysis
|
|---|---|
| Published in |
Brain Imaging and Behavior, January 2009
|
| DOI | 10.1007/s11682-008-9057-9 |
| Pubmed ID | |
| Authors |
Richard D. King, Anuh T. George, Tina Jeon, Linda S. Hynan, Teddy S. Youn, David N. Kennedy, Bradford Dickerson, and the Alzheimer’s Disease Neuroimaging Initiative |
| Abstract |
The purpose of this project is to apply a modified fractal analysis technique to high-resolution T1 weighted magnetic resonance images in order to quantify the alterations in the shape of the cerebral cortex that occur in patients with Alzheimer's disease. Images were selected from the Alzheimer's Disease Neuroimaging Initiative database (Control N=15, Mild-Moderate AD N=15). The images were segmented using a semi-automated analysis program. Four coronal and three axial profiles of the cerebral cortical ribbon were created. The fractal dimensions (D(f)) of the cortical ribbons were then computed using a box-counting algorithm. The mean D(f) of the cortical ribbons from AD patients were lower than age-matched controls on six of seven profiles. The fractal measure has regional variability which reflects local differences in brain structure. Fractal dimension is complementary to volumetric measures and may assist in identifying disease state or disease progression. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Netherlands | 1 | 2% |
| Unknown | 61 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 20% |
| Researcher | 9 | 14% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 15 | 23% |
| Medicine and Dentistry | 11 | 17% |
| Psychology | 9 | 14% |
| Engineering | 5 | 8% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 15 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 05 December 2023.
All research outputs
#5,215,173
of 24,580,204 outputs
Outputs from Brain Imaging and Behavior
#312
of 1,163 outputs
Outputs of similar age
#28,764
of 180,773 outputs
Outputs of similar age from Brain Imaging and Behavior
#1
of 4 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,163 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 72% of its peers.
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We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them