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Optimizing the design and analysis of clinical functional magnetic resonance imaging research studies
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Carter, Cameron S., Heckers, Stephan, Nichols, Thomas E., Pine, Daniel S. and Strother, Stephen (2008) Optimizing the design and analysis of clinical functional magnetic resonance imaging research studies. Biological Psychiatry, Vol.64 (No.10). pp. 842-849. doi:10.1016/j.biopsych.2008.06.014
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Official URL: http://dx.doi.org/10.1016/j.biopsych.2008.06.014
Abstract
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.
| Item Type: | Journal Article | ||||
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| Subjects: | H Social Sciences > HA Statistics Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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| Library of Congress Subject Headings (LCSH): | Neurosciences, Magnetic resonance imaging -- methods, Neurosciences -- Research -- Methodology, Experimental design | ||||
| Journal or Publication Title: | Biological Psychiatry | ||||
| Publisher: | Elsevier | ||||
| ISSN: | 0006-3223 | ||||
| Official Date: | 15 November 2008 | ||||
| Dates: |
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| Volume: | Vol.64 | ||||
| Number: | No.10 | ||||
| Number of Pages: | 8 | ||||
| Page Range: | pp. 842-849 | ||||
| DOI: | 10.1016/j.biopsych.2008.06.014 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | National Institute of Mental Health (U.S.) (NIMH), National Alliance for Research into Schizophrenia and Affective Disorders (NIRSAD) (U.S.), Rotman Institute, Brain Network Recovery Group, James S. McDonnell Foundation, Predictek, Inc. |
Data sourced from Thomson Reuters' Web of Knowledge
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