Skip to main navigation Skip to search Skip to main content

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
  • Ecole Polytechnique Fédérale de Lausanne
  • University of Geneva
  • CENTAI Institute
  • McConnell Brain Imaging Centre
  • University of California Riverside
  • Harvard University
  • Harvard-Massachusetts Institute of Technology Program in Health Sciences and Technology

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
JournalImaging Neuroscience
Volume4
Early online date20 Jan 2026
DOIs
Publication statusPublished - 9 Feb 2026

Data Availability Statement

Dataset 2 is available on Openneuro: https://openneuro.org/datasets/ds004386, while Datasets 1 and 3 are available upon reasonable request to Dr. Robert Barry and Prof. Julien Doyon, respectively.

Funding

This work was supported by the Swiss National Science Foundation (SNSF), Project No. 205321_207493.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • brain fingerprinting
  • fMRI
  • functional connectivity
  • inter-subject variability
  • spinal cord imaging

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Medicine (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

Fingerprint

Dive into the research topics of 'Spine-prints: Transposing brain fingerprints to the spinal cord'. Together they form a unique fingerprint.

Cite this