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Record W4283750703 · doi:10.1101/2022.06.28.22276567

Cerebrovascular Reactivity Following Spinal Cord Injury

2022· preprint· en· W4283750703 on OpenAlexafffund
Alexander Mark Weber, Tom E. Nightingale, Michael Jarrett, Amanda H. X. Lee, Olivia Campbell, Matthias Walter, Samuel J. E. Lucas, Aaron A. Phillips, Alexander Rauscher, Andrei V. Krassioukov

Bibliographic record

VenuemedRxiv · 2022
Typepreprint
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsGF Strong Rehabilitation CentreUniversity of British Columbia HospitalLibin Cardiovascular Institute of AlbertaUniversity of CalgaryUniversity of British ColumbiaInternational Collaboration On Repair DiscoveriesBC Children's HospitalHotchkiss Brain Institute
FundersUSAF Phillips LaboratoryInternational Collaboration on Repair DiscoveriesCanadian Institutes of Health ResearchCompute CanadaRick Hansen FoundationMichael Smith Health Research BCBC Children's HospitalChildren’s Hospital of Wisconsin Research InstituteRick Hansen InstituteCanada Research ChairsCraig H. Neilsen FoundationAlberta InnovatesHeart and Stroke Foundation of Canada
KeywordsMedicineCerebral blood flowBlood pressureSpinal cord injuryCardiologyAnesthesiaMagnetic resonance imagingPerfusionBlood-oxygen-level dependentSphygmomanometerBlood flowInternal medicineSpinal cordRadiology

Abstract

fetched live from OpenAlex

Abstract Cervical and upper-thoracic spinal cord injury (SCI) commonly results in autonomic cardiovascular impairments. These impairments can lead to alterations in blood flow, cerebral perfusion pressure and ultimately tissue perfusion, which can lead to an elevated risk of stroke and global cognitive deficits. The aim of this study was to assess cerebrovascular reactivity (CVR) in both the grey matter (GM) and brainstem using functional magnetic resonance imaging (fMRI) in participants with SCI compared to non-injured controls. CVR represents the capacity of brain parenchyma to change cerebral blood flow in response to a vasoactive stimulus (e.g. carbon dioxide, CO 2 ) or altered metabolic demand [e.g. neurovascular coupling (NVC)]. Thirteen participants (7 chronic SCI (all male, median age of 42 years), 6 controls (all male, median age of 33 years) were studied cross-sectionally. CVR was measured by assessing the MRI-blood oxygen level–dependent signal with hypercapnic challenge (controlled CO 2 inhalation). The CVR outcome measure was assessed in three ways. Initially, CVR was calculated as is standard, via the linear, least-squares fit across the whole gas challenge protocol (CVR whole ). In addition, CVR was further decomposed into its dynamic (tau) and static components (steady state CVR; ssCVR). A 24-hour ambulatory blood pressure monitor was worn to capture free-living blood pressure outcomes. Our results showed a longer tau in the GM of SCI participants compared to controls (median of the difference = 3.0 seconds; p<0.05). Time since injury (TSI) displayed negative correlations with ssCVR in the GM and brainstem of SCI participants: R S =-0.77, p=0.041 and R S =-0.76, p=0.049, respectively, where R S is the Spearman’s rank Correlation Coefficient. Neurological level of injury (NLI), modified into an ascending, continuous numeric variable, was positively correlated with GM CVR whole (R S =0.85, p=0.016), GM ssCVR (R S =0.95, p=0.001) and brainstem ssCVR (R S =0.90, p=0.006). Lower CVR whole and ssCVR in the SCI-cohort was significantly (P<0.05) correlated with lower daytime blood pressure (R S ≥ 0.81) and a higher frequency of hypotensive episodes (R S ≥ -0.83). Thus, living with a SCI for a longer period of time, having a higher NLI and lower blood pressure are linked with poorer CVR outcomes. Our preliminary findings reveal an important difference between the cohorts in the dynamic CVR component, tau. Collectively, these results may partially explain the increased cerebrovascular health burden in individuals with SCI. Highlights CVR is the change in blood flow in response to a vasodilatory stimulus (e.g., hypercapnia). Impaired CVR is linked with increased stroke risk and cognitive deficits. We investigated the dynamic and steady-state components of CVR using fMRI in individuals with a SCI. The dynamic component was significantly different compared to non-injured controls. CVR is significantly correlated with time since injury, level of injury and ambulatory daytime blood pressure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.410
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

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Same venuemedRxiv→Same topicSpinal Cord Injury Research→French-language works237,207→