| Title |
Gender Influence on White Matter Microstructure: A Tract-Based Spatial Statistics Analysis
|
|---|---|
| Published in |
PLOS ONE, March 2014
|
| DOI | 10.1371/journal.pone.0091109 |
| Pubmed ID | |
| Authors |
Richard A. Kanaan, Christopher Chaddock, Matthew Allin, Marco M. Picchioni, Eileen Daly, Sukhi S. Shergill, Philip K. McGuire |
| Abstract |
Sexual dimorphism in human brain structure is well recognised, but less is known about gender differences in white matter microstructure. We used diffusion tensor imaging to explore gender differences in fractional anisotropy (FA), an index of microstructural integrity. We previously found increased FA in the corpus callosum in women, and increased FA in the cerebellum and left superior longitudinal fasciculus (SLF) in men, using a whole-brain voxel-based analysis. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 66 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 33% |
| Researcher | 15 | 21% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 4 | 6% |
| Professor > Associate Professor | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 19% |
| Neuroscience | 12 | 17% |
| Medicine and Dentistry | 11 | 16% |
| Agricultural and Biological Sciences | 10 | 14% |
| Engineering | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 16 | 23% |