| Title |
MEG Network Differences between Low- and High-Grade Glioma Related to Epilepsy and Cognition
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050122 |
| Pubmed ID | |
| Authors |
Edwin van Dellen, Linda Douw, Arjan Hillebrand, Irene H. M. Ris-Hilgersom, Menno M. Schoonheim, Johannes C. Baayen, Philip C. De Witt Hamer, Demetrios N. Velis, Martin Klein, Jan J. Heimans, Cornelis J. Stam, Jaap C. Reijneveld |
| Abstract |
To reveal possible differences in whole brain topology of epileptic glioma patients, being low-grade glioma (LGG) and high-grade glioma (HGG) patients. We studied functional networks in these patients and compared them to those in epilepsy patients with non-glial lesions (NGL) and healthy controls. Finally, we related network characteristics to seizure frequency and cognitive performance within patient groups. |
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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 1% |
| Ethiopia | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Egypt | 1 | <1% |
| Unknown | 160 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 18% |
| Student > Master | 29 | 17% |
| Researcher | 24 | 14% |
| Student > Bachelor | 10 | 6% |
| Other | 10 | 6% |
| Other | 27 | 16% |
| Unknown | 36 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 50 | 30% |
| Neuroscience | 23 | 14% |
| Agricultural and Biological Sciences | 15 | 9% |
| Psychology | 13 | 8% |
| Engineering | 8 | 5% |
| Other | 15 | 9% |
| Unknown | 42 | 25% |