A novel implementation of spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test-retest reliability study Article Swipe
Olivia S. Kowalczyk
,
Sonia Medina
,
Dimitra Tsivaka
,
Stephen B. McMahon
,
Steven Williams
,
J.C. Brooks
,
David J. Lythgoe
,
Matthew A. Howard
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.02.27.530185
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.02.27.530185
Resting fMRI studies have identified intrinsic spinal cord activity, which forms organised motor (ventral) and sensory (dorsal) resting-state networks. However, to facilitate the use of spinal fMRI in, for example, clinical studies, it is crucial to first assess the reliability of the method, particularly given the unique anatomical, physiological, and methodological challenges associated with acquiring the data. Here we demonstrate a novel implementation for acquiring BOLD-sensitive resting-state spinal fMRI, which was used to characterise functional connectivity relationships in the cervical cord and assess their test-retest reliability in 23 young healthy volunteers. Resting-state networks were estimated in two ways: (1) by extracting the mean timeseries from anatomically constrained seed masks and estimating voxelwise connectivity maps and (2) by calculating seed-to-seed correlations between extracted mean timeseries. Seed regions corresponded to the four grey matter horns (ventral/dorsal and left/right) of C5-C8 segmental levels. Test-retest reliability was assessed using the intraclass correlation coefficient (ICC) in the following ways: for each voxel in the cervical spine; each voxel within an activated cluster; the mean signal as a summary estimate within an activated cluster; and correlation strength in the seed-to-seed analysis. Spatial overlap of clusters derived from voxelwise analysis between sessions was examined using Dice coefficients. Following voxelwise analysis, we observed distinct unilateral dorsal and ventral organisation of cervical spinal resting-state networks that was largely confined in the rostro-caudal extent to each spinal segmental level, with more sparse connections observed between segments (Bonferroni corrected p < 0.003, threshold-free cluster enhancement with 5000 permutations). Additionally, strongest correlations were observed between within-segment ipsilateral dorso-ventral connections, followed by within-segment dorso-dorsal and ventro-ventral connections. Test-retest reliability of these networks was mixed. Reliability was poor when assessed on a voxelwise level, with more promising indications of reliability when examining the average signal within clusters. Reliability of correlation strength between seeds was highly variable, with highest reliability achieved in ipsilateral dorso-ventral and dorso-dorsal/ventro-ventral connectivity. However, the spatial overlap of networks between sessions was excellent. We demonstrate that while test-retest reliability of cervical spinal resting-state networks is mixed, their spatial extent is similar across sessions, suggesting that these networks are characterised by a consistent spatial representation over time.
Related Topics
Concepts
Intraclass correlation
Resting state fMRI
Voxel
Spinal cord
Grey matter
Neuroscience
Correlation
Reliability (semiconductor)
Psychology
Anatomy
Medicine
Computer science
Magnetic resonance imaging
White matter
Artificial intelligence
Mathematics
Developmental psychology
Radiology
Geometry
Physics
Psychometrics
Power (physics)
Quantum mechanics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.02.27.530185
- https://www.biorxiv.org/content/biorxiv/early/2023/02/28/2023.02.27.530185.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 76
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4322622226
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4322622226Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2023.02.27.530185Digital Object Identifier
- Title
-
A novel implementation of spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test-retest reliability studyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-28Full publication date if available
- Authors
-
Olivia S. Kowalczyk, Sonia Medina, Dimitra Tsivaka, Stephen B. McMahon, Steven Williams, J.C. Brooks, David J. Lythgoe, Matthew A. HowardList of authors in order
- Landing page
-
https://doi.org/10.1101/2023.02.27.530185Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/02/28/2023.02.27.530185.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/02/28/2023.02.27.530185.full.pdfDirect OA link when available
- Concepts
-
Intraclass correlation, Resting state fMRI, Voxel, Spinal cord, Grey matter, Neuroscience, Correlation, Reliability (semiconductor), Psychology, Anatomy, Medicine, Computer science, Magnetic resonance imaging, White matter, Artificial intelligence, Mathematics, Developmental psychology, Radiology, Geometry, Physics, Psychometrics, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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76Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.methodological | 51 |
| abstract_inverted_index.permutations). | 247 |
| abstract_inverted_index.physiological, | 49 |
| abstract_inverted_index.representation | 353 |
| abstract_inverted_index.threshold-free | 242 |
| abstract_inverted_index.ventro-ventral | 263 |
| abstract_inverted_index.within-segment | 254, 260 |
| abstract_inverted_index.(ventral/dorsal | 134 |
| abstract_inverted_index.dorso-dorsal/ventro-ventral | 311 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5053010905 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I165524941, https://openalex.org/I183935753, https://openalex.org/I4210151618, https://openalex.org/I45129253 |
| citation_normalized_percentile.value | 0.4575826 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |