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Effective degrees of freedom of the Pearson's correlation coefficient under autocorrelation.

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第一作者： Soroosh,Afyouni

第一单位： Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK. Electronic address: soroosh.afyouni@bdi.ox.ac.uk.

作者： Soroosh,Afyouni ^[1] ; Stephen M,Smith ^[2] ; Thomas E,Nichols ^[3]

作者单位： Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK. Electronic address: soroosh.afyouni@bdi.ox.ac.uk. ^[1] Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK; The Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK. Electronic address: steve@fmrib.ox.ac.uk. ^[2] Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK; The Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK; Department of Statistics, University of Warwick, UK. Electronic address: thomas.nichols@bdi.ox.ac.uk. ^[3]

关键词 Autocorrelation Cross correlation Functional connectivity Graph theory Pearson correlation coefficient Quadratic covariance Resting state Serial correlation Time-series Toeplitz matrix Variance fMRI

医学主题词脑(Brain);数据说明, 统计(Data Interpretation, Statistical);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging)

DOI 10.1016/j.neuroimage.2019.05.011

PMID 31158478

发布时间 2024-09-22

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