| Title |
One dataset, many conclusions: BOLD variability’s complicated relationships with age and motion artifacts
|
|---|---|
| Published in |
Brain Imaging and Behavior, January 2015
|
| DOI | 10.1007/s11682-014-9351-7 |
| Pubmed ID | |
| Authors |
Benjamin O. Turner, Brian Lopez, Tyler Santander, Michael B. Miller |
| Abstract |
In recent years, the variability of the blood-oxygen level dependent (BOLD) signal has received attention as an informative measure in its own right. At the same time, there has been growing concern regarding the impact of motion in fMRI, particularly in the domain of resting state studies. Here, we demonstrate that, not only does motion (among other confounds) exert an influence on the results of a BOLD variability analysis of task-related fMRI data-but, that the exact method used to deal with this influence has at least as large an effect as the motion itself. This sensitivity to relatively minor methodological changes is particularly concerning as studies begin to take on a more applied bent, and the risk of mischaracterizing the relationship between BOLD variability and various individual difference variables (for instance, disease progression) acquires real-world relevance. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Israel | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 37 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 27% |
| Student > Ph. D. Student | 8 | 20% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 14 | 34% |
| Psychology | 10 | 24% |
| Medicine and Dentistry | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 9 | 22% |
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 17 April 2015.
All research outputs
#14,803,937
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Outputs from Brain Imaging and Behavior
#626
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Outputs of similar age
#197,819
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Outputs of similar age from Brain Imaging and Behavior
#7
of 15 outputs
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