Evidence map›Paper›PMID 32421156›Full record

ArticleJAMA neurology2020

Use of Multimodal Imaging and Clinical Biomarkers in Presymptomatic Carriers of C9orf72 Repeat Expansion.

Joke De Vocht, Jeroen Blommaert, Martijn Devrome, Ahmed Radwan, Donatienne Van Weehaeghe, Maxim De Schaepdryver, Jenny Ceccarini, Ahmadreza Rezaei, Georg Schramm, June van Aalst and 17 more

Open access · hybridAbstract read
In one paragraph

Article in JAMA neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Quantifying multimodal longitudinal brain changes in presymptomatic C9orf72 disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Trial
  4. Potential Roles of Neuroimaging in Motor Neuron Disease.Current neurology and neuroscience reports · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Brain metabolic connectivity in ALS due to C9ORF72 hexanucleotide expansion: a [European journal of nuclear medicine and molecular imaging · 2026
    Article
  9. Article
  10. Role of 2-[Journal of neurology · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. New developments in imaging in ALS.Journal of neurology · 2025
    Review
  17. Article
  18. The spectrum of behavioral disorders in amyotrophic lateral sclerosis: current view.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 4 institutions in 4 countries.

Joke De VochtKU Leuven, Department of Neurosciences, Experimental Neurology, B-3000 Leuven, Belgium.
Jeroen BlommaertKU Leuven, Department of Oncology, B-3000 Leuven, Belgium.
Martijn DevromeKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Ahmed RadwanKU Leuven, Department of Imaging and Pathology, Translational MRI, B-3000 Leuven, Belgium.
Donatienne Van WeehaegheKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Maxim De SchaepdryverKU Leuven, Department of Neurosciences, Laboratory for Molecular Neurobiomarker Research, B-3000 Leuven, Belgium.
Jenny CeccariniKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Ahmadreza RezaeiKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Georg SchrammKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
June van AalstKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Adriano ChiòALS Center, Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy.
Marco PaganiInstitute of Cognitive Sciences and Technologies, CNR, Rome, Italy.
Daphne StamKU Leuven, Leuven Brain Institute, Laboratory for Translational Neuropsychiatry, B-3000 Leuven, Belgium.
Hilde Van EschUniversity Hospitals Leuven, Center for Human Genetics, B-3000 Leuven, Belgium.
Nikita LamaireUniversity Hospitals Leuven, Department of Neurology, B-3000 Leuven, Belgium.
Marianne VerhaegenKU Leuven, University Hospitals Leuven, University Psychiatric Center, Adult Psychiatry, B-3000 Leuven, Belgium.
Nathalie MertensKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Koen PoesenKU Leuven, Department of Neurosciences, Laboratory for Molecular Neurobiomarker Research, B-3000 Leuven, Belgium.
Leonard H van den BergBrain Center Rudolf Magnus, Department of Neurology, University Medical Center Utrecht, Utrecht, the Netherlands.
Michael A van EsBrain Center Rudolf Magnus, Department of Neurology, University Medical Center Utrecht, Utrecht, the Netherlands.
Rik VandenbergheUniversity Hospitals Leuven, Department of Neurology, B-3000 Leuven, Belgium.
Mathieu VandenbulckeKU Leuven, Leuven Brain Institute, Laboratory for Translational Neuropsychiatry, B-3000 Leuven, Belgium.
Jan Van den StockKU Leuven, Leuven Brain Institute, Laboratory for Translational Neuropsychiatry, B-3000 Leuven, Belgium.
Michel KooleKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Patrick DupontKU Leuven, Department of Neurosciences, Laboratory for Cognitive Neurology, B-3000 Leuven, Belgium.
Koen Van LaereKU Leuven, University Hospitals Leuven, Department of Imaging and Pathology, Division of Nuclear Medicine, B-3000 Leuven, Belgium.
Philip Van DammeKU Leuven, Department of Neurosciences, Experimental Neurology, B-3000 Leuven, Belgium.
KU Leuven · BEUniversity Medical Center Utrecht · NLInstitute of Cognitive Sciences and Technologies · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: During a time with the potential for novel treatment strategies, early detection of disease manifestations at an individual level in presymptomatic carriers of a hexanucleotide repeat expansion in the C9orf72 gene (preSxC9) is becoming increasingly relevant. Objectives: To evaluate changes in glucose metabolism before symptom onset of amyotrophic lateral sclerosis or frontotemporal dementia in preSxC9 using simultaneous fluorine 18-labeled fluorodeoxyglucose ([18F]FDG positron emission tomographic (PET) and magnetic resonance imaging as well as the mutation's association with clinical and fluid biomarkers. Design, Setting, and Participants: A prospective, case-control study enrolled 46 participants from November 30, 2015, until December 11, 2018. The study was conducted at the neuromuscular reference center of the University Hospitals Leuven, Leuven, Belgium. Main Outcomes and Measures: Neuroimaging data were spatially normalized and analyzed at the voxel level at a height threshold of P < .001, cluster-level familywise error-corrected threshold of P < .05, and statistical significance was set at P < .05 for the volume-of-interest level analysis, using Benjamini-Hochberg correction for multiple correction. W-score maps were computed using the individuals serving as controls as a reference to quantify the degree of [18F]FDG PET abnormality. The threshold for abnormality on the W-score maps was designated as an absolute W-score greater than or equal to 1.96. Neurofilament levels and performance on cognitive and neurologic examinations were determined. All hypothesis tests were 1-sided. Results: Of the 42 included participants, there were 17 with the preSxC9 mutation (12 women [71%]; mean [SD] age, 51 [9] years) and 25 healthy controls (12 women [48%]; mean [SD] age, 47 [10] years). Compared with control participants, significant clusters of relative hypometabolism were found in frontotemporal regions, basal ganglia, and thalami of preSxC9 participants and relative hypermetabolism in the peri-Rolandic region, superior frontal gyrus, and precuneus cortex. W-score frequency maps revealed reduced glucose metabolism with local maxima in the insular cortices, central opercular cortex, and thalami in up to 82% of preSxC9 participants and increased glucose metabolism in the precentral gyrus and precuneus cortex in up to 71% of preSxC9 participants. Other findings in the preSxC9 group were upper motor neuron involvement in 10 participants (59%), cognitive abnormalities in 5 participants (29%), and elevated neurofilament levels in 3 of 16 individuals (19%) who underwent lumbar puncture. Conclusions and Relevance: The results suggest that [18F]FDG PET can identify glucose metabolic changes in preSxC9 at an individual level, preceding significantly elevated neurofilament levels and onset of symptoms.

Indexed as

Prodromal SymptomsAdultAgedAmyotrophic Lateral SclerosisBiomarkersC9orf72 ProteinCase-Control StudiesCerebral CortexDNA Repeat ExpansionFemaleFluorodeoxyglucose F18Frontotemporal DementiaHeterozygoteHumansMagnetic Resonance ImagingMaleBiomarkersC9orf72 ProteinC9orf72 protein, humanFluorodeoxyglucose F18

Identifiers

PMID32421156
PMCPMC7417970
OpenAlexW3024794599

What Socratic holds

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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 Socratic graph.