Title |
Time-dependent degree-degree correlations in epileptic brain networks: from assortative to dissortative mixing
|
---|---|
Published in |
Frontiers in Human Neuroscience, August 2015
|
DOI | 10.3389/fnhum.2015.00462 |
Pubmed ID | |
Authors |
Christian Geier, Klaus Lehnertz, Stephan Bialonski |
Abstract |
We investigate the long-term evolution of degree-degree correlations (assortativity) in functional brain networks from epilepsy patients. Functional networks are derived from continuous multi-day, multi-channel electroencephalographic data, which capture a wide range of physiological and pathophysiological activities. In contrast to previous studies which all reported functional brain networks to be assortative on average, even in case of various neurological and neurodegenerative disorders, we observe large fluctuations in time-resolved degree-degree correlations ranging from assortative to dissortative mixing. Moreover, in some patients these fluctuations exhibit some periodic temporal structure which can be attributed, to a large extent, to daily rhythms. Relevant aspects of the epileptic process, particularly possible pre-seizure alterations, contribute marginally to the observed long-term fluctuations. Our findings suggest that physiological and pathophysiological activity may modify functional brain networks in a different and process-specific way. We evaluate factors that possibly influence the long-term evolution of degree-degree correlations. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 2% |
Unknown | 50 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 33% |
Student > Ph. D. Student | 9 | 18% |
Professor > Associate Professor | 3 | 6% |
Student > Bachelor | 3 | 6% |
Lecturer > Senior Lecturer | 2 | 4% |
Other | 9 | 18% |
Unknown | 8 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 16% |
Neuroscience | 7 | 14% |
Medicine and Dentistry | 6 | 12% |
Agricultural and Biological Sciences | 5 | 10% |
Mathematics | 2 | 4% |
Other | 7 | 14% |
Unknown | 16 | 31% |