共 21 条
Everything you never wanted to know about circular analysis, but were afraid to ask
被引：166
作者：
Kriegeskorte, Nikolaus
[1
]
Lindquist, Martin A.
[2
]
Nichols, Thomas E.
[3
,4
,5
]
Poldrack, Russell A.
[6
]
Vul, Edward
[7
,8
]
机构：
[1] MRC, Cognit & Brain Sci Unit, Cambridge, England
[2] Columbia Univ, Dept Stat, New York, NY USA
[3] Univ Warwick, Dept Stat, Warwick, England
[4] Univ Oxford, Dept Clin Neurol, Oxford, England
[5] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
[6] Univ Texas Austin, Dept Psychol & Neurobiol, Austin, TX 78712 USA
[7] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
[8] UCSD, Dept Psychol, La Jolla, CA USA
基金：
英国医学研究理事会;
关键词：
brain imaging;
functional magnetic resonance imaging;
imaging;
neuroimaging;
statistical methods;
VUL ET-AL;
PUZZLINGLY HIGH CORRELATIONS;
SOCIAL COGNITION;
FMRI;
PERSONALITY;
EMOTION;
NEUROSCIENCE;
ACTIVATION;
VOODOO;
BRAIN;
D O I：
10.1038/jcbfm.2010.86
中图分类号：
R5 [内科学];
学科分类号：
1002 ;
100201 ;
摘要：
Over the past year, a heated discussion about 'circular' or 'nonindependent' analysis in brain imaging has emerged in the literature. An analysis is circular (or nonindependent) if it is based on data that were selected for showing the effect of interest or a related effect. The authors of this paper are researchers who have contributed to the discussion and span a range of viewpoints. To clarify points of agreement and disagreement in the community, we collaboratively assembled a series of questions on circularity herein, to which we provide our individual current answers in <= 100 words per question. Although divergent views remain on some of the questions, there is also a substantial convergence of opinion, which we have summarized in a consensus box. The box provides the best current answers that the five authors could agree upon. Journal of Cerebral Blood Flow & Metabolism (2010) 30, 1551-1557; doi:10.1038/jcbfm.2010.86; published online 23 June 2010
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页码：1551 / 1557
页数：7
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