Long-term neural and physiological phenotyping of a single human
Nature Communications, ISSN: 2041-1723, Vol: 6, Issue: 1, Page: 8885
2015
- 318Citations
- 351Usage
- 627Captures
- 9Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations318
- Citation Indexes318
- 318
- CrossRef281
- Usage351
- Downloads324
- Abstract Views27
- Captures627
- Readers627
- 627
- Mentions9
- Blog Mentions6
- Blog6
- News Mentions2
- News2
- References1
- Wikipedia1
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Article Description
Psychiatric disorders are characterized by major fluctuations in psychological function over the course of weeks and months, but the dynamic characteristics of brain function over this timescale in healthy individuals are unknown. Here, as a proof of concept to address this question, we present the MyConnectome project. An intensive phenome-wide assessment of a single human was performed over a period of 18 months, including functional and structural brain connectivity using magnetic resonance imaging, psychological function and physical health, gene expression and metabolomics. A reproducible analysis workflow is provided, along with open access to the data and an online browser for results. We demonstrate dynamic changes in brain connectivity over the timescales of days to months, and relations between brain connectivity, gene expression and metabolites. This resource can serve as a testbed to study the joint dynamics of human brain and metabolic function over time, an approach that is critical for the development of precision medicine strategies for brain disorders.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84949564383&origin=inward; http://dx.doi.org/10.1038/ncomms9885; http://www.ncbi.nlm.nih.gov/pubmed/26648521; https://facultyopinions.com/prime/726000369#eval793512772; http://dx.doi.org/10.3410/f.726000369.793512772; https://www.nature.com/articles/ncomms9885; https://facultyopinions.com/prime/726000369#eval793520412; http://dx.doi.org/10.3410/f.726000369.793520412; https://digitalcommons.wustl.edu/open_access_pubs/4441; https://digitalcommons.wustl.edu/cgi/viewcontent.cgi?article=5446&context=open_access_pubs; https://scholarworks.utrgv.edu/som_pub/644; https://scholarworks.utrgv.edu/cgi/viewcontent.cgi?article=1645&context=som_pub; https://dx.doi.org/10.1038/ncomms9885; http://f1000.com/prime/726000369#eval793512772; http://www.nature.com/ncomms/2015/151209/ncomms9885/full/ncomms9885.html; http://www.nature.com/doifinder/10.1038/ncomms9885; http://www.nature.com/articles/ncomms9885.pdf; http://www.nature.com/articles/ncomms9885
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