Evidence map›Paper›PMID 24179768›Full record

ArticleNeuroImage. Clinical2012

Structural imaging differences and longitudinal changes in primary lateral sclerosis and amyotrophic lateral sclerosis.

Justin Y Kwan, Avner Meoded, Laura E Danielian, Tianxia Wu, Mary Kay Floeter

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

43 citing papers in PubMed, 77 citations in OpenAlex.

  1. Longitudinal imaging inNeuroImage. Clinical · 2016
    Trial
  2. Article
  3. Review
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  9. Clinical care and therapeutic trials in PLS.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2020
    Article
  10. Article
  11. Article
  12. Speech network regional involvement in bulbar ALS: a multimodal structural MRI study.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
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  19. Observational
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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

5 authors at 2 institutions in 1 country.

Justin Y KwanNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Avner Meoded
Laura E Danielian
Tianxia Wu
Mary Kay Floeter
National Institutes of Health · USNational Institute of Neurological Disorders and Stroke · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging measures have been proposed as objective markers to study upper motor neuron loss in motor neuron disorders. Cross-sectional studies have identified imaging differences between groups of healthy controls and patients with amyotrophic lateral sclerosis (ALS) or primary lateral sclerosis (PLS) that correlate with disease severity, but it is not known whether imaging measures change as disease progresses. Additionally, whether imaging measures change in a similar fashion with disease progression in PLS and ALS is unclear. To address these questions, clinical and imaging evaluations were first carried out in a prospective cross-sectional study of 23 ALS and 22 PLS patients with similar motor impairment and 19 age-matched healthy controls. Clinical evaluations consisted of a neurological examination, the ALS Functional rating scale-revised, and measures of finger tapping, gait, and timed speech. Age and ALSFRS score were not different, but PLS patients had longer duration of symptoms. Imaging measures examined were cortical thickness, regional brain volumes, and diffusion tensor imaging of the corticospinal tract and callosum. Imaging measures that differed from controls in a cross-sectional vertex-wise analysis were used as regions of interest for longitudinal analysis, which was carried out in 9 of the ALS patients (interval 1.26 ± 0.72 years) and 12 PLS patients (interval 2.08 ± 0.93 years). In the cross-sectional study both groups had areas of cortical thinning, which was more extensive in motor regions in PLS patients. At follow-up, clinical measures declined more in ALS than PLS patients. Cortical thinning and grey matter volume loss of the precentral gyri progressed over the follow-up interval. Fractional anisotropy of the corticospinal tracts remained stable, but the cross-sectional area declined in ALS patients. Changes in clinical measures correlated with changes in precentral cortical thickness and grey matter volume. The rate of cortical thinning was greater in ALS patients with shorter disease durations, suggesting that thickness decreases in a non-linear fashion. Thus, cortical thickness changes are a potential imaging marker for disease progression in individual patients, but the magnitude of change likely depends on disease duration and progression rate. Differences between PLS and ALS patients in the magnitude of thinning in cross-sectional studies are likely to reflect longer disease duration. We conclude that there is an evolution of structural imaging changes with disease progression in motor neuron disorders. Some changes, such as diffusion properties of the corticospinal tract, occur early while cortical thinning and volume loss occur later.

Indexed as

ALS, amyotrophic lateral sclerosisALSFRS-R, ALS functional rating scale, revisedCC, corpus callosumCortical thicknessCST, corticospinal tractDiffusion tensor imagingDTI, diffusion tensor imagingFA, fractional anisotropyFreeSurferLongitudinal studiesMD, mean diffusivityMotor neuron diseaseMRI, magnetic resonance imagingPLS, primary lateral sclerosisUMN, upper motor neuron

Identifiers

PMID24179768
PMCPMC3778247
OpenAlexW2035246366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.