Evidence map›Paper›PMID 41092904›Full record

ArticleCell reports methods2025

SpIC3D imaging for spinal in situ contrast 3D visualization.

Lucy Liang, Alessandro Fasse, Arianna Damiani, Maria K Jantz, Uzoma Agbor, Matteo Del Brocco, Rachel Monney, Cecelia Rowland, Taylor Newton, Chaitanya Gopinath and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Rootlets-based registration to the PAM50 spinal cord template.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Lucy LiangDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA.
Alessandro FasseFoundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland; Department of Information Technology and Electrical Engineering, Swiss Federal Institute of Technology (ETHZ), 8092 Zurich, Switzerland.
Arianna DamianiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Maria K JantzDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Biomedical Engineering, Duke University, Durham, NC 27705, USA.
Uzoma AgborRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Matteo Del BroccoDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Rachel MonneyRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; School of Life Sciences, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland.
Cecelia RowlandRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Taylor NewtonFoundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland; Department of Information Technology and Electrical Engineering, Swiss Federal Institute of Technology (ETHZ), 8092 Zurich, Switzerland.
Chaitanya GopinathRehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA.
David J SchaefferDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Christi L KolarcikDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, USA; University of Pittsburgh Clinical and Translational Science Institute (CTSI), Pittsburgh, PA 15232, USA.
John G PagiazitisCenter for Motor Neuron Biology and Disease, Columbia University, New York, NY, USA; Department of Neurology, Columbia University, New York, NY, USA.
George Z MentisCenter for Motor Neuron Biology and Disease, Columbia University, New York, NY, USA; Department of Neurology, Columbia University, New York, NY, USA; Department of Pathology and Cell Biology, Columbia University, New York, NY, USA.
Lee E FisherDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Esra NeufeldFoundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland.
Marco CapogrossoDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Robert A GauntDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA.
T Kevin HitchensDepartment of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15213, USA; Advanced Imaging Center, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Elvira PirondiniDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA 15213, USA; Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA; University of Pittsburgh Clinical and Translational Science Institute (CTSI), Pittsburgh, PA 15232, USA. Electronic address: elvirap@pitt.edu.

Funding

Open Platform for Online Simulations for Stimulating Peripheral Activity to Relieve Conditions – o2S2PARCOT3OD025348 · OD · IT'IS FOUNDATION · PI KUSTER, NIELS · 2017 to 2024
$18.8M
Mechanisms of Central Synaptic Dysfunction in SMAR01NS078375 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI George Z Mentis · 2012 to 2026
$6.6M
Cellular and Neuronal Circuit Mechanisms Involved in Locomotor ActivityR01NS125362 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI George Z Mentis · 2023 to 2026
$2.5M
Simulations of spinal cord recruitment to optimize bioelectronic interventions for lower urinary tract controlOT2OD030537 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GAUNT, ROBERT A · 2020 to 2021
$1.6M
NIH HHS OT2 OD030537NIH HHS OT3 OD025348NINDS NIH HHS R01 NS078375NINDS NIH HHS R01 NS125362
6 · The paper itself

Abstract

High-definition visualization techniques are critical for understanding the neuroanatomy of the spinal cord, an essential structure for sensorimotor and autonomic functions, in both healthy and pathological conditions. Magnetic resonance imaging (MRI) is a common method for visualizing neural structures in 3D. However, techniques for spinal cord MRI have historically achieved limited visualization of rootlets and nerves, especially at lower spinal levels, due to their highly complex and compact organization. Here, we developed a spinal in situ contrast 3D imaging (SpIC3D) method that allows visualization of spinal compartments in fixed animal and human specimens with high resolution (50 μm) at various spinal levels. Using SpIC3D, we achieved quantification of neuronal cell density in dorsal root ganglia, multi-segment identification of individual rootlets and roots, and volumetric reconstruction of multiple spinal structures for computational modeling. SpIC3D provides a basis for accelerated spinal pathology characterization and personalized spinal cord stimulation treatments.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingSpinal CordAnimalsGanglia, SpinalHumanscomputational modelingCP: ImagingCP: Neurosciencedorsal root entry zonedorsal root ganglionfiber tractographyin situmulti-segmentmulti-speciesmulti-tissuespinal cordvolumetric imaging

Identifiers

PMID41092904
PMCPMC12570344

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.