Title |
Exploring Brain Function from Anatomical Connectivity
|
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Published in |
Frontiers in Neuroscience, January 2011
|
DOI | 10.3389/fnins.2011.00083 |
Pubmed ID | |
Authors |
Gorka Zamora-López, Changsong Zhou, Jürgen Kurths |
Abstract |
The intrinsic relationship between the architecture of the brain and the range of sensory and behavioral phenomena it produces is a relevant question in neuroscience. Here, we review recent knowledge gained on the architecture of the anatomical connectivity by means of complex network analysis. It has been found that cortico-cortical networks display a few prominent characteristics: (i) modular organization, (ii) abundant alternative processing paths, and (iii) the presence of highly connected hubs. Additionally, we present a novel classification of cortical areas of the cat according to the role they play in multisensory connectivity. All these properties represent an ideal anatomical substrate supporting rich dynamical behaviors, facilitating the capacity of the brain to process sensory information of different modalities segregated and to integrate them toward a comprehensive perception of the real world. The results here exposed are mainly based on anatomical data of cats' brain, but further observations suggest that, from worms to humans, the nervous system of all animals might share these fundamental principles of organization. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 4% |
United Kingdom | 5 | 2% |
Germany | 4 | 2% |
Spain | 3 | 1% |
Switzerland | 2 | <1% |
Netherlands | 2 | <1% |
Japan | 2 | <1% |
Brazil | 2 | <1% |
Canada | 1 | <1% |
Other | 6 | 2% |
Unknown | 221 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 67 | 26% |
Student > Ph. D. Student | 59 | 23% |
Student > Master | 25 | 10% |
Professor | 23 | 9% |
Professor > Associate Professor | 19 | 7% |
Other | 52 | 20% |
Unknown | 12 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 52 | 20% |
Neuroscience | 45 | 18% |
Psychology | 36 | 14% |
Medicine and Dentistry | 24 | 9% |
Computer Science | 20 | 8% |
Other | 60 | 23% |
Unknown | 20 | 8% |