Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation

Cam-CAN

doi:10.1016/j.neuroimage.2016.04.047

Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation

Cam-CAN

Psychology

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	16-31
Number of pages	16
Journal	NeuroImage
Volume	135
Early online date	23 Apr 2016
DOIs	https://doi.org/10.1016/j.neuroimage.2016.04.047
Publication status	Published - 15 Jul 2016

Keywords

Journal Article

Access to Document

10.1016/j.neuroimage.2016.04.047Licence: CC BY

Cite this

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title = "Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation",

keywords = "Journal Article",

author = "Linda Geerligs and Cam-CAN and Henson, \{Richard N\} and Tibor Auer",

year = "2016",

month = jul,

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doi = "10.1016/j.neuroimage.2016.04.047",

language = "English",

volume = "135",

pages = "16--31",

journal = "NeuroImage",

issn = "1053-8119",

publisher = "Academic Press Inc.",

}

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T1 - Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation

AU - Geerligs, Linda

AU - Cam-CAN

AU - Henson, Richard N

AU - Auer, Tibor

PY - 2016/7/15

Y1 - 2016/7/15

KW - Journal Article

U2 - 10.1016/j.neuroimage.2016.04.047

DO - 10.1016/j.neuroimage.2016.04.047

M3 - Article

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SN - 1053-8119

VL - 135

SP - 16

EP - 31

JO - NeuroImage

JF - NeuroImage

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