Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity: Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048))

Josh Neudorf; Chelsea Ekstrand; Shaylyn Kress; Ron Borowsky

doi:10.1016/j.neuroscience.2020.06.027

Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity: Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048))

Josh Neudorf
, Chelsea Ekstrand
, Shaylyn Kress
, Ron Borowsky

Faculty of Humanities & Social Sciences

University of Saskatchewan

Research output: Contribution to journal › Comment/debate

Abstract

The authors regret that there was an error in Eqs. (3) and (4). The correct equations are published below. The authors would like to apologise for any inconvenience caused.

Original language	English
Pages (from-to)	234
Number of pages	1
Journal	Neuroscience
Volume	443
DOIs	https://doi.org/10.1016/j.neuroscience.2020.06.027
Publication status	Published - 1 Sep. 2020

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Neudorf, J., Ekstrand, C., Kress, S., & Borowsky, R. (2020). Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity: Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048)). Neuroscience, 443, 234. https://doi.org/10.1016/j.neuroscience.2020.06.027

Neudorf, Josh ; Ekstrand, Chelsea ; Kress, Shaylyn et al. / Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity : Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048)). In: Neuroscience. 2020 ; Vol. 443. pp. 234.

@article{4b810ef946c84086bd7893461377511e,

title = "Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity: Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048))",

abstract = "The authors regret that there was an error in Eqs. (3) and (4). The correct equations are published below. The authors would like to apologise for any inconvenience caused.",

author = "Josh Neudorf and Chelsea Ekstrand and Shaylyn Kress and Ron Borowsky",

note = "Publisher Copyright: {\textcopyright} 2020 IBRO",

year = "2020",

month = sep,

day = "1",

doi = "10.1016/j.neuroscience.2020.06.027",

language = "English",

volume = "443",

pages = "234",

}

Neudorf, J, Ekstrand, C, Kress, S & Borowsky, R 2020, 'Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity: Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048))', Neuroscience, vol. 443, pp. 234. https://doi.org/10.1016/j.neuroscience.2020.06.027

Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity: Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048)). / Neudorf, Josh; Ekstrand, Chelsea; Kress, Shaylyn et al.
In: Neuroscience, Vol. 443, 01.09.2020, p. 234.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity

T2 - Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048))

AU - Neudorf, Josh

AU - Ekstrand, Chelsea

AU - Kress, Shaylyn

AU - Borowsky, Ron

PY - 2020/9/1

Y1 - 2020/9/1

N2 - The authors regret that there was an error in Eqs. (3) and (4). The correct equations are published below. The authors would like to apologise for any inconvenience caused.

AB - The authors regret that there was an error in Eqs. (3) and (4). The correct equations are published below. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85089299168

U2 - 10.1016/j.neuroscience.2020.06.027

DO - 10.1016/j.neuroscience.2020.06.027

M3 - Comment/debate

C2 - 32713793

AN - SCOPUS:85089299168

SN - 0306-4522

VL - 443

SP - 234

JO - Neuroscience

JF - Neuroscience

ER -

Neudorf J, Ekstrand C, Kress S, Borowsky R. Corrigendum to “Brain Structural Connectivity Predicts Brain Functional Complexity: Diffusion Tensor Imaging Derived Centrality Accounts for Variance in Fractal Properties of Functional Magnetic Resonance Imaging Signal” [Neuroscience 438C (2020) 1–8] (Neuroscience (2020) 438 (1–8), (S0306452220302852), (10.1016/j.neuroscience.2020.04.048)). Neuroscience. 2020 Sep. 1;443:234. doi: 10.1016/j.neuroscience.2020.06.027

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