Reliability of task-based fMRI in the dorsal horn of the human spinal cord Article Swipe
Alice Dabbagh
,
Ulrike Horn
,
Merve Kaptan
,
Toralf Mildner
,
Roland Müller
,
Jöran Lepsien
,
Nikolaus Weiskopf
,
J.C. Brooks
,
Jürgen Finsterbusch
,
Falk Eippert
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.12.22.572825
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.12.22.572825
The application of functional magnetic resonance imaging (fMRI) to the human spinal cord is still a relatively small field of research and faces many challenges. Here we aimed to probe the limitations of task-based spinal fMRI at 3T by investigating the reliability of spinal cord blood oxygen level dependent (BOLD) responses to repeated nociceptive stimulation across two consecutive days in 40 healthy volunteers. We assessed the test-retest reliability of subjective ratings, autonomic responses, and spinal cord BOLD responses to short heat pain stimuli (1s duration) using the intraclass correlation coefficient (ICC). At the group level, we observed robust autonomic responses as well as spatially specific spinal cord BOLD responses at the expected location, but no spatial overlap in BOLD response patterns across days. While autonomic indicators of pain processing showed good-to-excellent reliability, both β -estimates and z-scores of task-related BOLD responses showed poor reliability across days in the target region (gray matter of the ipsilateral dorsal horn). When taking into account the sensitivity of gradient-echo echo planar imaging (GE-EPI) to draining vein signals by including the venous plexus in the analysis, we observed BOLD responses with fair reliability across days. Taken together, these results demonstrate that heat pain stimuli as short as one second are able to evoke a robust and spatially specific BOLD response, which is however strongly variable within participants across time, resulting in low reliability in the dorsal horn gray matter. Further improvements in data acquisition and analysis techniques are thus necessary before event-related spinal cord fMRI as used here can be reliably employed in longitudinal designs or clinical settings.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.12.22.572825
- https://www.biorxiv.org/content/biorxiv/early/2023/12/23/2023.12.22.572825.full.pdf
- OA Status
- green
- Cited By
- 3
- References
- 177
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390154651
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390154651Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2023.12.22.572825Digital Object Identifier
- Title
-
Reliability of task-based fMRI in the dorsal horn of the human spinal cordWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-12-23Full publication date if available
- Authors
-
Alice Dabbagh, Ulrike Horn, Merve Kaptan, Toralf Mildner, Roland Müller, Jöran Lepsien, Nikolaus Weiskopf, J.C. Brooks, Jürgen Finsterbusch, Falk EippertList of authors in order
- Landing page
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https://doi.org/10.1101/2023.12.22.572825Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/12/23/2023.12.22.572825.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/2023/12/23/2023.12.22.572825.full.pdfDirect OA link when available
- Concepts
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Dorsum, Spinal cord, French horn, Task (project management), Neuroscience, Reliability (semiconductor), Computer science, Psychology, Artificial intelligence, Anatomy, Biology, Physics, Engineering, Pedagogy, Quantum mechanics, Power (physics), Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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177Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Further | 235 |
| abstract_inverted_index.account | 161 |
| abstract_inverted_index.designs | 260 |
| abstract_inverted_index.healthy | 62 |
| abstract_inverted_index.however | 218 |
| abstract_inverted_index.imaging | 7, 168 |
| abstract_inverted_index.matter. | 234 |
| abstract_inverted_index.overlap | 117 |
| abstract_inverted_index.results | 194 |
| abstract_inverted_index.signals | 173 |
| abstract_inverted_index.spatial | 116 |
| abstract_inverted_index.stimuli | 83, 199 |
| abstract_inverted_index.(GE-EPI) | 169 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.analysis | 241 |
| abstract_inverted_index.assessed | 65 |
| abstract_inverted_index.clinical | 262 |
| abstract_inverted_index.draining | 171 |
| abstract_inverted_index.employed | 257 |
| abstract_inverted_index.expected | 112 |
| abstract_inverted_index.magnetic | 5 |
| abstract_inverted_index.observed | 97, 183 |
| abstract_inverted_index.patterns | 121 |
| abstract_inverted_index.ratings, | 71 |
| abstract_inverted_index.reliably | 256 |
| abstract_inverted_index.repeated | 53 |
| abstract_inverted_index.research | 21 |
| abstract_inverted_index.response | 120 |
| abstract_inverted_index.specific | 105, 213 |
| abstract_inverted_index.strongly | 219 |
| abstract_inverted_index.variable | 220 |
| abstract_inverted_index.z-scores | 137 |
| abstract_inverted_index.analysis, | 181 |
| abstract_inverted_index.autonomic | 72, 99, 125 |
| abstract_inverted_index.dependent | 49 |
| abstract_inverted_index.duration) | 85 |
| abstract_inverted_index.including | 175 |
| abstract_inverted_index.location, | 113 |
| abstract_inverted_index.necessary | 245 |
| abstract_inverted_index.resonance | 6 |
| abstract_inverted_index.response, | 215 |
| abstract_inverted_index.responses | 51, 78, 100, 109, 141, 185 |
| abstract_inverted_index.resulting | 225 |
| abstract_inverted_index.settings. | 263 |
| abstract_inverted_index.spatially | 104, 212 |
| abstract_inverted_index.together, | 192 |
| abstract_inverted_index.-estimates | 135 |
| abstract_inverted_index.functional | 4 |
| abstract_inverted_index.indicators | 126 |
| abstract_inverted_index.intraclass | 88 |
| abstract_inverted_index.processing | 129 |
| abstract_inverted_index.relatively | 17 |
| abstract_inverted_index.responses, | 73 |
| abstract_inverted_index.subjective | 70 |
| abstract_inverted_index.task-based | 34 |
| abstract_inverted_index.techniques | 242 |
| abstract_inverted_index.acquisition | 239 |
| abstract_inverted_index.application | 2 |
| abstract_inverted_index.challenges. | 25 |
| abstract_inverted_index.coefficient | 90 |
| abstract_inverted_index.consecutive | 58 |
| abstract_inverted_index.correlation | 89 |
| abstract_inverted_index.demonstrate | 195 |
| abstract_inverted_index.ipsilateral | 155 |
| abstract_inverted_index.limitations | 32 |
| abstract_inverted_index.nociceptive | 54 |
| abstract_inverted_index.reliability | 42, 68, 144, 188, 228 |
| abstract_inverted_index.sensitivity | 163 |
| abstract_inverted_index.stimulation | 55 |
| abstract_inverted_index.test-retest | 67 |
| abstract_inverted_index.volunteers. | 63 |
| abstract_inverted_index.improvements | 236 |
| abstract_inverted_index.longitudinal | 259 |
| abstract_inverted_index.participants | 222 |
| abstract_inverted_index.reliability, | 132 |
| abstract_inverted_index.task-related | 139 |
| abstract_inverted_index.event-related | 247 |
| abstract_inverted_index.gradient-echo | 165 |
| abstract_inverted_index.investigating | 40 |
| abstract_inverted_index.good-to-excellent | 131 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5046900065, https://openalex.org/A5040640115 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I4210130445 |
| citation_normalized_percentile.value | 0.77424988 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |