Reliability of resting-state functional connectivity in the human spinal cord: Assessing the impact of distinct noise sources

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Reliability of resting-state functional connectivity in the human spinal cord: Assessing the impact of distinct noise sources. / Kaptan, Merve; Horn, Ulrike; Vannesjo, S Johanna; Mildner, Toralf; Weiskopf, Nikolaus; Finsterbusch, Jürgen; Brooks, Jonathan C W; Eippert, Falk.

In: NEUROIMAGE, Vol. 275, 15.07.2023, p. 120152.

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@article{97981c921942494c8a35d696757f4539,
title = "Reliability of resting-state functional connectivity in the human spinal cord: Assessing the impact of distinct noise sources",
abstract = "The investigation of spontaneous fluctuations of the blood-oxygen-level-dependent (BOLD) signal has recently been extended from the brain to the spinal cord, where it has stimulated interest from a clinical perspective. A number of resting-state functional magnetic resonance imaging (fMRI) studies have demonstrated robust functional connectivity between the time series of BOLD fluctuations in bilateral dorsal horns and between those in bilateral ventral horns, in line with the functional neuroanatomy of the spinal cord. A necessary step prior to extension to clinical studies is assessing the reliability of such resting-state signals, which we aimed to do here in a group of 45 healthy young adults at the clinically prevalent field strength of 3T. When investigating connectivity in the entire cervical spinal cord, we observed fair to good reliability for dorsal-dorsal and ventral-ventral connectivity, whereas reliability was poor for within- and between-hemicord dorsal-ventral connectivity. Considering how prone spinal cord fMRI is to noise, we extensively investigated the impact of distinct noise sources and made two crucial observations: removal of physiological noise led to a reduction in functional connectivity strength and reliability - due to the removal of stable and participant-specific noise patterns - whereas removal of thermal noise considerably increased the detectability of functional connectivity without a clear influence on reliability. Finally, we also assessed connectivity within spinal cord segments and observed that while the pattern of connectivity was similar to that of whole cervical cord, reliability at the level of single segments was consistently poor. Taken together, our results demonstrate the presence of reliable resting-state functional connectivity in the human spinal cord even after thoroughly accounting for physiological and thermal noise, but at the same time urge caution if focal changes in connectivity (e.g. due to segmental lesions) are to be studied, especially in a longitudinal manner.",
keywords = "Young Adult, Animals, Humans, Reproducibility of Results, Spinal Cord/diagnostic imaging, Cervical Cord/physiology, Brain, Spinal Cord Dorsal Horn, Magnetic Resonance Imaging/methods",
author = "Merve Kaptan and Ulrike Horn and Vannesjo, {S Johanna} and Toralf Mildner and Nikolaus Weiskopf and J{\"u}rgen Finsterbusch and Brooks, {Jonathan C W} and Falk Eippert",
note = "Copyright {\textcopyright} 2023 The Authors. Published by Elsevier Inc. All rights reserved.",
year = "2023",
month = jul,
day = "15",
doi = "10.1016/j.neuroimage.2023.120152",
language = "English",
volume = "275",
pages = "120152",
journal = "NEUROIMAGE",
issn = "1053-8119",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Reliability of resting-state functional connectivity in the human spinal cord: Assessing the impact of distinct noise sources

AU - Kaptan, Merve

AU - Horn, Ulrike

AU - Vannesjo, S Johanna

AU - Mildner, Toralf

AU - Weiskopf, Nikolaus

AU - Finsterbusch, Jürgen

AU - Brooks, Jonathan C W

AU - Eippert, Falk

N1 - Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

PY - 2023/7/15

Y1 - 2023/7/15

N2 - The investigation of spontaneous fluctuations of the blood-oxygen-level-dependent (BOLD) signal has recently been extended from the brain to the spinal cord, where it has stimulated interest from a clinical perspective. A number of resting-state functional magnetic resonance imaging (fMRI) studies have demonstrated robust functional connectivity between the time series of BOLD fluctuations in bilateral dorsal horns and between those in bilateral ventral horns, in line with the functional neuroanatomy of the spinal cord. A necessary step prior to extension to clinical studies is assessing the reliability of such resting-state signals, which we aimed to do here in a group of 45 healthy young adults at the clinically prevalent field strength of 3T. When investigating connectivity in the entire cervical spinal cord, we observed fair to good reliability for dorsal-dorsal and ventral-ventral connectivity, whereas reliability was poor for within- and between-hemicord dorsal-ventral connectivity. Considering how prone spinal cord fMRI is to noise, we extensively investigated the impact of distinct noise sources and made two crucial observations: removal of physiological noise led to a reduction in functional connectivity strength and reliability - due to the removal of stable and participant-specific noise patterns - whereas removal of thermal noise considerably increased the detectability of functional connectivity without a clear influence on reliability. Finally, we also assessed connectivity within spinal cord segments and observed that while the pattern of connectivity was similar to that of whole cervical cord, reliability at the level of single segments was consistently poor. Taken together, our results demonstrate the presence of reliable resting-state functional connectivity in the human spinal cord even after thoroughly accounting for physiological and thermal noise, but at the same time urge caution if focal changes in connectivity (e.g. due to segmental lesions) are to be studied, especially in a longitudinal manner.

AB - The investigation of spontaneous fluctuations of the blood-oxygen-level-dependent (BOLD) signal has recently been extended from the brain to the spinal cord, where it has stimulated interest from a clinical perspective. A number of resting-state functional magnetic resonance imaging (fMRI) studies have demonstrated robust functional connectivity between the time series of BOLD fluctuations in bilateral dorsal horns and between those in bilateral ventral horns, in line with the functional neuroanatomy of the spinal cord. A necessary step prior to extension to clinical studies is assessing the reliability of such resting-state signals, which we aimed to do here in a group of 45 healthy young adults at the clinically prevalent field strength of 3T. When investigating connectivity in the entire cervical spinal cord, we observed fair to good reliability for dorsal-dorsal and ventral-ventral connectivity, whereas reliability was poor for within- and between-hemicord dorsal-ventral connectivity. Considering how prone spinal cord fMRI is to noise, we extensively investigated the impact of distinct noise sources and made two crucial observations: removal of physiological noise led to a reduction in functional connectivity strength and reliability - due to the removal of stable and participant-specific noise patterns - whereas removal of thermal noise considerably increased the detectability of functional connectivity without a clear influence on reliability. Finally, we also assessed connectivity within spinal cord segments and observed that while the pattern of connectivity was similar to that of whole cervical cord, reliability at the level of single segments was consistently poor. Taken together, our results demonstrate the presence of reliable resting-state functional connectivity in the human spinal cord even after thoroughly accounting for physiological and thermal noise, but at the same time urge caution if focal changes in connectivity (e.g. due to segmental lesions) are to be studied, especially in a longitudinal manner.

KW - Young Adult

KW - Animals

KW - Humans

KW - Reproducibility of Results

KW - Spinal Cord/diagnostic imaging

KW - Cervical Cord/physiology

KW - Brain

KW - Spinal Cord Dorsal Horn

KW - Magnetic Resonance Imaging/methods

U2 - 10.1016/j.neuroimage.2023.120152

DO - 10.1016/j.neuroimage.2023.120152

M3 - SCORING: Journal article

C2 - 37142169

VL - 275

SP - 120152

JO - NEUROIMAGE

JF - NEUROIMAGE

SN - 1053-8119

ER -