Optimizing the Design and Analysis of Clinical Functional Magnetic Resonance Imaging Research Studies
Biological Psychiatry, ISSN: 0006-3223, Vol: 64, Issue: 10, Page: 842-849
2008
- 59Citations
- 136Captures
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
- Citations59
- Citation Indexes59
- 59
- CrossRef51
- Captures136
- Readers136
- 136
Review Description
With the widespread availability of functional magnetic resonance imaging (fMRI), there has been rapid progress in identifying neural correlates of cognition and emotion in the human brain. In conjunction with basic research studies, fMRI has been increasingly applied in clinical disorders, making it a central research tool in human psychopathology, psychopharmacology, and genetics. In the present article, we discuss a number of conceptual and methodological challenges that confront the implementation of fMRI in clinical and translational research, and we offer a set of recommendations intended to enhance the interpretability and reproducibility of results in clinical fMRI.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0006322308007816; http://dx.doi.org/10.1016/j.biopsych.2008.06.014; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=54149098555&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/18718572; https://linkinghub.elsevier.com/retrieve/pii/S0006322308007816; https://dx.doi.org/10.1016/j.biopsych.2008.06.014
Elsevier BV
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