| Title |
Is it possible to detect dendrite currents using presently available magnetic resonance imaging techniques?
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, March 2012
|
| DOI | 10.1007/s11517-012-0899-3 |
| Pubmed ID | |
| Authors |
William I. Jay, Ranjith S. Wijesinghe, Brain D. Dolasinski, Bradley J. Roth |
| Abstract |
The action currents of a dendrite, peripheral nerve or skeletal muscle create their own magnetic field. Many investigators have attempted to detect neural and dendritic currents directly using magnetic resonance imaging that can cause the phase of the spins to change. Our goal in this paper is to use the calculated magnetic field of a dendrite to estimate the resulting phase shift in the magnetic resonance signal. The field produced by a dense collection of simultaneously active dendrites may be just detectable under the most ideal circumstances, but in almost every realistic case the field cannot be detected using current MRI technology. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Professor | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Other | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 43% |
| Physics and Astronomy | 2 | 14% |
| Neuroscience | 1 | 7% |
| Philosophy | 1 | 7% |
| Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 16 April 2020.
All research outputs
#4,618,763
of 25,371,288 outputs
Outputs from Medical & Biological Engineering & Computing
#143
of 2,053 outputs
Outputs of similar age
#29,266
of 172,586 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#1
of 14 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 92% of its peers.
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 172,586 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.