Mapping dependencies of BOLD signal change to end-tidal CO2: Linear and nonlinear modeling, and effect of physiological noise correction-Reference-Cited by-同舟云学术

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Mapping dependencies of BOLD signal change to end-tidal CO2: Linear and nonlinear modeling, and effect of physiological noise correction

Published:2021-10 Issue: Volume:362 Page:109317
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Cauzzo Simone^ORCID,Callara Alejandro L.,Morelli Maria Sole^ORCID,Hartwig Valentina^ORCID,Esposito Fabrizio,Montanaro Domenico,Passino Claudio,Emdin Michele,Giannoni Alberto,Vanello Nicola

Publisher

Elsevier BV

Subject

General Neuroscience

Reference64 articles.

1. Model-based physiological noise removal in fast fMRI;Agrawal;NeuroImage,2020

2. Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers;Albanese;Bioinformatics,2013

3. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI;Behzadi;NeuroImage,2007

4. Tracheal occlusion modulates the gene expression profile of the medial thalamus in anesthetized rats;Bernhardt;J. Appl. Physiol.,2011

5. In vivo functional connectome of human brainstem nuclei of the ascending arousal, autonomic, and motor systems by high spatial resolution 7-Tesla fMRI;Bianciardi;Magn. Reson Mater. Phys. Biol. Med.,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. mICA-Based fMRI Analysis of Specific CO2-Level-Dependent BOLD Signal Changes in the Human Brainstem;Electronics;2023-01-06

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