Title |
A DTI-Based Template-Free Cortical Connectome Study of Brain Maturation
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Published in |
PLOS ONE, May 2013
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DOI | 10.1371/journal.pone.0063310 |
Pubmed ID | |
Authors |
Olga Tymofiyeva, Christopher P. Hess, Etay Ziv, Patricia N. Lee, Hannah C. Glass, Donna M. Ferriero, A. James Barkovich, Duan Xu |
Abstract |
Improved understanding of how the human brain is "wired" on a macroscale may now be possible due to the emerging field of MRI connectomics. However, mapping the rapidly developing infant brain networks poses challenges. In this study, we applied an automated template-free "baby connectome" framework using diffusion MRI to non-invasively map the structural brain networks in subjects of different ages, including premature neonates, term-born neonates, six-month-old infants, and adults. We observed increasing brain network integration and decreasing segregation with age in term-born subjects. We also explored how the equal area nodes can be grouped into modules without any prior anatomical information--an important step toward a fully network-driven registration and analysis of brain connectivity. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Canada | 2 | 1% |
Switzerland | 1 | <1% |
Israel | 1 | <1% |
Australia | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 131 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 26% |
Researcher | 30 | 22% |
Student > Master | 15 | 11% |
Student > Doctoral Student | 8 | 6% |
Student > Bachelor | 6 | 4% |
Other | 17 | 12% |
Unknown | 26 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 21 | 15% |
Psychology | 18 | 13% |
Medicine and Dentistry | 16 | 12% |
Engineering | 15 | 11% |
Agricultural and Biological Sciences | 13 | 9% |
Other | 20 | 14% |
Unknown | 35 | 25% |