Evidence map›Paper›PMID 41674679›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Spine-prints: Transposing brain fingerprints to the spinal cord.

Ilaria Ricchi, Andrea Santoro, Nawal Kinany, Caroline Landelle, Ali Khatibi, Shahabeddin Vahdat, Julien Doyon, Robert L Barry, Dimitri Van De Ville

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ilaria RicchiNeuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.ORCID https://orcid.org/0000-0001-9941-2475
Andrea SantoroNeuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
Nawal KinanyNeuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.ORCID https://orcid.org/0000-0003-3804-0991
Caroline LandelleMcConnell Brain Imaging Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Ali KhatibiDepartment of Psychology, University of Bath, Bath, United Kingdom.
Shahabeddin VahdatDepartment of Bioengineering, University of California Riverside, Riverside, CA, United States.
Julien DoyonMcConnell Brain Imaging Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Robert L BarryAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States.
Dimitri Van De VilleNeuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.ORCID https://orcid.org/0000-0002-2879-3861

Funding

Spinal cord functional connectivity as a biomarker of spinal cord dysfunctionR01EB027779 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BARRY, ROBERT L · 2019 to 2022
$2.7M
Functional Imaging and resting state connectivity in human spinal cord at 7 TeslaR00EB016689 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BARRY, ROBERT L · 2016 to 2018
$747k
Causal connectivity along the spinal cord using high-resolution 7T fMRIR21EB031211 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BARRY, ROBERT L · 2021 to 2021
$462k
Investigation of Resting State Functional Connectivity in the Human Spinal CordR21NS081437 · NINDS · VANDERBILT UNIVERSITY · PI GORE, JOHN C · 2013 to 2014
$427k
Functional Imaging and Resting State Connectivity in Human Spinal Cord at 7 TeslaK99EB016689 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BARRY, ROBERT L · 2014 to 2015
$178k
NIBIB NIH HHS K99 EB016689NIBIB NIH HHS R00 EB016689NIBIB NIH HHS R01 EB027779NIBIB NIH HHS R21 EB031211NINDS NIH HHS R21 NS081437
6 · The paper itself

Abstract

Functional connectivity (FC) patterns in the human brain form a reproducible, individual-specific "fingerprint" that allows reliable identification of the same participant across scans acquired over different sessions. While brain fingerprinting is robust across healthy individuals and neuroimaging modalities, little is known about whether the fingerprinting principle extends beyond the brain. Here, we used multiple functional magnetic resonance imaging (fMRI) datasets acquired at different sites to examine whether a fingerprint can be revealed from FCs of the cervical region of the human spinal cord. Our results demonstrate that the functional organization of this region also exhibits individual-specific properties, suggesting the potential existence of a spine-print within the same acquisition session. Although the spine-print scores are not directly comparable to those observed in the brain, this discrepancy may, in part, reflect the intrinsic limitations of imaging this region with fMRI, where the signals are more susceptible to noise and effective resolution relative to structure size, and tSNR are markedly lower than in the brain. This study provides the first evidence of a spinal cord connectivity fingerprint, underscoring the importance of considering a more comprehensive view of the entire central nervous system. Eventually, these spine-specific signatures could contribute to identifying individualized biomarkers of neuronal connectivity, with potential clinical applications in neurology and neurosurgery.

Indexed as

brain fingerprintingfMRIfunctional connectivityinter-subject variabilityspinal cord imaging

Identifiers

PMID41674679
PMCPMC12887244

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.