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Mendeley readers
Attention Score in Context
| Title |
Understanding Neuronal Architecture in Obesity through Analysis of White Matter Connection Strength
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, June 2016
|
| DOI | 10.3389/fnhum.2016.00271 |
| Pubmed ID | |
| Authors |
Justin W. Riederer, Megan E. Shott, Marisa Deguzman, Tamara L. Pryor, Guido K. W. Frank |
| Abstract |
Despite the prevalence of obesity, our understanding of its neurobiological underpinnings is insufficient. Diffusion weighted imaging and calculation of white matter connection strength are methods to describe the architecture of anatomical white matter tracts. This study is aimed to characterize white matter architecture within taste-reward circuitry in a population of obese individuals. Obese (n = 18, age = 28.7 ± 8.3 years) and healthy control (n = 24, age = 27.4 ± 6.3 years) women underwent diffusion weighted imaging. Using probabilistic fiber tractography (FSL PROBTRACKX2 toolbox) we calculated connection strength within 138 anatomical white matter tracts. Obese women (OB) displayed lower and greater connectivity within taste-reward circuitry compared to controls (Wilks' λ < 0.001; p < 0.001). Connectivity was lower in white matter tracts connecting insula, amygdala, prefrontal cortex (PFC), orbitofrontal cortex (OFC) and striatum. Connectivity was greater between the amygdala and anterior cingulate cortex (ACC). This study indicates that lower white matter connectivity within white matter tracts of insula-fronto-striatal taste-reward circuitry are associated with obesity as well as greater connectivity within white matter tracts connecting the amygdala and ACC. The specificity of regions suggests sensory integration and reward processing are key associations that are altered in and might contribute to obesity. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Chile | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Researcher | 7 | 15% |
| Student > Doctoral Student | 5 | 11% |
| Student > Postgraduate | 5 | 11% |
| Student > Master | 5 | 11% |
| Other | 9 | 19% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 13 | 28% |
| Psychology | 9 | 19% |
| Medicine and Dentistry | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Other | 4 | 9% |
| Unknown | 10 | 21% |
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 06 June 2016.
All research outputs
#14,854,433
of 22,876,619 outputs
Outputs from Frontiers in Human Neuroscience
#4,922
of 7,168 outputs
Outputs of similar age
#202,780
of 340,764 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#145
of 192 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 27th percentile – i.e., 27% 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 340,764 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.