Detecting and characterizing large-scale human brain networks
Abstract/Contents
- Abstract
- Understanding human brain function is one of the most important endeavors in modern science. There is growing evidence that cognitive functions are executed by large-scale networks, comprising multiple interacting anatomically-connected brain areas. Although considerable progress has been made in understanding which specific brain areas are involved in particular cognitive functions, very little is known about the integrative functioning of large-scale brain networks. This is due in part to the lack of methods to pursue this line of research. This dissertation describes computational methods for detecting and characterizing large-scale human brain networks, combining data from task-free functional magnetic resonance imaging (fMRI) and structural diffusion tensor imaging (DTI), two complementary brain imaging modalities. Application of our methods to task-free fMRI and DTI data obtained from a wide range of subject populations provided new insights into how large-scale human brain networks develop, mature, and get disrupted in psychiatric and neurological disorders. More generally, this work demonstrates the power of our multimodal network-analytic approach to obtain a system-level understanding of brain function across the human lifespan.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2010 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Supekar, Kaustubh Satyendra |
|---|---|
| Associated with | Stanford University, Department of Biomedical Informatics. |
| Primary advisor | Musen, Mark A |
| Thesis advisor | Musen, Mark A |
| Thesis advisor | Greicius, Michael D |
| Thesis advisor | Menon, Vinod, 1961- |
| Thesis advisor | Rubin, Daniel (Daniel L.) |
| Advisor | Greicius, Michael D |
| Advisor | Menon, Vinod, 1961- |
| Advisor | Rubin, Daniel (Daniel L.) |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Kaustubh Satyendra Supekar. |
|---|---|
| Note | Submitted to the Department of Biomedical Informatics. |
| Thesis | Ph.D. Stanford University 2010 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2010 by Kaustubh Satyendra Supekar
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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