ArticlePloS one2015
Age, gender and normalization covariates for spinal cord gray matter and total cross-sectional areas at cervical and thoracic levels: A 2D phase sensitive inversion recovery imaging study.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
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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.
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.
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Who cites it
40 citing papers in PubMed, 66 citations in OpenAlex.
- Charting Cervical Spinal Cord Morphometry Across the Lifespan.Human brain mapping · 2026Article
- Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Sexual Dimorphism in Spinal Cord Injury: From Molecular Mechanisms to Clinical Translation.Neuromolecular medicine · 2026Review
- Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan.Nature communications · 2026Article
- Establishing Normative Values for Entire Spinal Cord Morphometrics in East Asian Young Adults.Korean journal of radiology · 2025Article
- Spinal cord gray matter atrophy is associated with disability in spinal muscular atrophy.Journal of neurology · 2025Article
- Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Optimization of cervical cord atrophy measurement using a real-world, multicentre dataset in multiple sclerosis.Frontiers in neurology · 2025Article
- Cervical spinal cord morphometrics in degenerative cervical myelopathy: quantification using semi-automated normalized technique and correlation with neurological dysfunctions.The spine journal : official journal of the North American Spine Society · 2024Article
- A database of the healthy human spinal cord morphometry in the PAM50 template space.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Validation of a New Semiautomated Segmentation Pipeline Based on the Spinal Cord Toolbox DeepSeg Algorithm to Estimate the Cervical Canal Area.AJNR. American journal of neuroradiology · 2023Article
- Association of daily physical activity with brain volumes and cervical spinal cord areas in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Article
- Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.AJNR. American journal of neuroradiology · 2023Article
- Spinal cord gray matter atrophy is associated with functional decline in post-polio syndrome.European journal of neurology · 2022Article
- A New Framework for Investigating the Biological Basis of Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 5]: Mechanical Stress, Vulnerability and Time.Global spine journal · 2022Article
- Advanced spinal cord MRI in multiple sclerosis: Current techniques and future directions.NeuroImage. Clinical · 2022Review
- Automatic measure and normalization of spinal cord cross-sectional area using the pontomedullary junction.Frontiers in neuroimaging · 2022Article
- Structural MRI Reveals Cervical Spinal Cord Atrophy in the P301L Mouse Model of Tauopathy: Gender and Transgene-Dosing Effects.Frontiers in aging neuroscience · 2022Article
- Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.Scientific data · 2021Article
- Comparative neuroanatomy of the lumbosacral spinal cord of the rat, cat, pig, monkey, and human.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
Abstract
The source of inter-subject variability and the influence of age and gender on morphometric characteristics of the spinal cord, such as the total cross-sectional area (TCA), the gray matter (GM) and white matter (WM) areas, currently remain under investigation. Understanding the effect of covariates such as age, gender, brain volumes, and skull- and vertebra-derived metrics on cervical and thoracic spinal cord TCA and GM areas in healthy subjects would be fundamental for exploring compartment specific changes in neurological diseases affecting the spinal cord. Using Magnetic Resonance Imaging at 3T we investigated 32 healthy subjects using a 2D phase sensitive inversion recovery sequence and we measured TCA, GM and WM areas at 4 cervical and thoracic levels of the spinal cord. We assessed age and gender relationships of cord measures and explored associations between cord measures and a) brain volumes and b) skull- and vertebra-derived metrics. Age and gender had a significant effect on TCA, WM and GM areas (with women and elderly having smaller values than men and younger people respectively), but not on the GM area/TCA ratio. The total intracranial volume and C3 vertebra dimensions showed the highest correlations with cord measures. When used in multi-regression models, they reduced cord areas group variability by approximately a third. Age and gender influences on cord measures and normalization strategies here presented might be of use in the study of compartment specific changes in various neurological diseases affecting the spinal cord.
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Registered trials
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.