| Title |
Characterizing Acupuncture Stimuli Using Brain Imaging with fMRI - A Systematic Review and Meta-Analysis of the Literature
|
|---|---|
| Published in |
PLOS ONE, April 2012
|
| DOI | 10.1371/journal.pone.0032960 |
| Pubmed ID | |
| Authors |
Wenjing Huang, Daniel Pach, Vitaly Napadow, Kyungmo Park, Xiangyu Long, Jane Neumann, Yumi Maeda, Till Nierhaus, Fanrong Liang, Claudia M. Witt |
| Abstract |
The mechanisms of action underlying acupuncture, including acupuncture point specificity, are not well understood. In the previous decade, an increasing number of studies have applied fMRI to investigate brain response to acupuncture stimulation. Our aim was to provide a systematic overview of acupuncture fMRI research considering the following aspects: 1) differences between verum and sham acupuncture, 2) differences due to various methods of acupuncture manipulation, 3) differences between patients and healthy volunteers, 4) differences between different acupuncture points. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 27% |
| United Kingdom | 2 | 9% |
| Ireland | 2 | 9% |
| Canada | 1 | 5% |
| Belgium | 1 | 5% |
| Australia | 1 | 5% |
| Germany | 1 | 5% |
| Egypt | 1 | 5% |
| Unknown | 7 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 86% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| India | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 208 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 16% |
| Student > Bachelor | 27 | 13% |
| Student > Ph. D. Student | 23 | 11% |
| Student > Master | 22 | 10% |
| Student > Postgraduate | 18 | 8% |
| Other | 50 | 23% |
| Unknown | 42 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 74 | 34% |
| Psychology | 21 | 10% |
| Neuroscience | 17 | 8% |
| Agricultural and Biological Sciences | 14 | 6% |
| Nursing and Health Professions | 12 | 6% |
| Other | 27 | 13% |
| Unknown | 51 | 24% |