Brain network evolution after stroke based on computational experiments.
Stroke is a frequently-occurring disease threatening the human nervous system. As a serious debilitation affecting a large-scale, hierarchical, and vastly complex electrochemical system, stroke remains relatively misunderstood. Rehabilitation mechanisms and means have suffered from this lack of syst...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3869721?pdf=render |
| _version_ | 1828390968833867776 |
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| author | Wei Li Yue Huang Yapeng Li Xi Chen |
| author_facet | Wei Li Yue Huang Yapeng Li Xi Chen |
| author_sort | Wei Li |
| collection | DOAJ |
| description | Stroke is a frequently-occurring disease threatening the human nervous system. As a serious debilitation affecting a large-scale, hierarchical, and vastly complex electrochemical system, stroke remains relatively misunderstood. Rehabilitation mechanisms and means have suffered from this lack of systematic understanding. Here we propose an evolution model to simulate the dynamic actual evolvement process of functional brain networks computationally in an effort to address current shortcomings in the state of the field. According to simulation results, we conclude that the brain networks of patients following acute stroke were characterized by lower small worldness and lower quantity of long-distance connections compared with the healthy condition. Moreover, distance penalization may be used to describe the general mechanism of brain network evolution in the acute period after stroke. |
| first_indexed | 2024-12-10T06:55:07Z |
| format | Article |
| id | doaj.art-41823738933941ff997d35210b42be96 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T06:55:07Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-41823738933941ff997d35210b42be962022-12-22T01:58:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8284510.1371/journal.pone.0082845Brain network evolution after stroke based on computational experiments.Wei LiYue HuangYapeng LiXi ChenStroke is a frequently-occurring disease threatening the human nervous system. As a serious debilitation affecting a large-scale, hierarchical, and vastly complex electrochemical system, stroke remains relatively misunderstood. Rehabilitation mechanisms and means have suffered from this lack of systematic understanding. Here we propose an evolution model to simulate the dynamic actual evolvement process of functional brain networks computationally in an effort to address current shortcomings in the state of the field. According to simulation results, we conclude that the brain networks of patients following acute stroke were characterized by lower small worldness and lower quantity of long-distance connections compared with the healthy condition. Moreover, distance penalization may be used to describe the general mechanism of brain network evolution in the acute period after stroke.http://europepmc.org/articles/PMC3869721?pdf=render |
| spellingShingle | Wei Li Yue Huang Yapeng Li Xi Chen Brain network evolution after stroke based on computational experiments. PLoS ONE |
| title | Brain network evolution after stroke based on computational experiments. |
| title_full | Brain network evolution after stroke based on computational experiments. |
| title_fullStr | Brain network evolution after stroke based on computational experiments. |
| title_full_unstemmed | Brain network evolution after stroke based on computational experiments. |
| title_short | Brain network evolution after stroke based on computational experiments. |
| title_sort | brain network evolution after stroke based on computational experiments |
| url | http://europepmc.org/articles/PMC3869721?pdf=render |
| work_keys_str_mv | AT weili brainnetworkevolutionafterstrokebasedoncomputationalexperiments AT yuehuang brainnetworkevolutionafterstrokebasedoncomputationalexperiments AT yapengli brainnetworkevolutionafterstrokebasedoncomputationalexperiments AT xichen brainnetworkevolutionafterstrokebasedoncomputationalexperiments |