Evidence map›Paper›PMID 42102258›Full record

ArticleBrain : a journal of neurology2026

King's stages of amyotrophic lateral sclerosis: an 18F-FDG-PET study of brain connectivity.

Francesca Di Pede, Sara Cabras, Umberto Manera, Rosario Vasta, Grazia Zocco, Emilio Minerva, Enrico Matteoni, Filippo De Mattei, Giorgio Pellegrino, Francesca Palumbo and 11 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Potential Roles of Neuroimaging in Motor Neuron Disease.Current neurology and neuroscience reports · 2026
    Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Francesca Di PedeALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.ORCID 0000-0001-8959-0614
Sara CabrasALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Umberto ManeraALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.ORCID 0000-0002-9995-8133
Rosario VastaALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Grazia ZoccoALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Emilio MinervaALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Enrico MatteoniALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Filippo De MatteiALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Giorgio PellegrinoALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Francesca PalumboALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Daniela PascariuALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Stefano CallegaroALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Alessandra MaccabeoALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Giulia PolverariPositron Emission Tomography Centre AFFIDEA-IRMET S.p.A., Turin 10135, Italy.
Alessio MartinoDepartment of AI, Data and Decision Sciences, LUISS Guido Carli University, Rome 00197, Italy.
Alessandro GiulianiEnvironment and Health Department, Istituto Superiore di Sanità, Rome 00161, Italy.ORCID 0000-0002-4640-804X
Cristina MogliaALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.
Andrea CalvoALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.ORCID 0000-0002-5122-7243
Adriano ChiòALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.ORCID 0000-0001-9579-5341
Marco PaganiInstitute of Cognitive Sciences and Technologies, C.N.R., Rome 00196, Italy.
Antonio CanosaALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin 10126, Italy.

Funding

A.S.D. Polisportiva U.I.C.I Torino OnlusDepartment of ExcellenceDepartment of Neuroscience, University of TurinEuropean Commission's Health Seventh Framework Programme 259867European Commission's Health Seventh Framework Programme FP7/2007-2013European Union's Horizon 2020 research and innovation programme 101137074European Union's Horizon 2020 research and innovation programme GA101017598Italian Ministry of Education, University and ResearchItalian Ministry of Health RF-2016-02362405Joint Programme-Neurodegenerative Disease ResearchProgetti di Rilevante Interesse Nazionale (PRIN) 2017SNW5MBThierry Latran Foundation
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease affecting upper and lower motor neurons. TAR DNA-binding protein 43 (TDP-43) proteinopathy is the neuropathological signature of the disease, and 18F-fluorodeoxyglucose PET (18F-FDG-PET) serves as a marker of neurodegeneration in vivo. The aim of the present cross-sectional study was to disentangle 18F-FDG-PET correlates of disease severity assessed through the King's staging system, by exploring connectivity changes across motor stages. Patients with ALS classified as King's stage 1, 2 or 3, who underwent brain 18F-FDG-PET at diagnosis from 2008 to 2022 at the ALS Centre of Turin, were included. A multiple regression analysis to evaluate the relationship between brain metabolism and King's stage was performed. The clusters showing significant results were used as seed regions in an interregional correlation analysis (IRCA), performed for each stage. Of a total of 832 patients with ALS, 337 were classified as King's stage 1, 274 as stage 2 and 221 as stage 3. The three groups significantly differed in age at PET, disease duration and total ALS Functional Rating Scale Revised (ALSFRS-R) score at the time of PET, C9orf72 status and the distribution of cognitive categories. We found a decreasing metabolic gradient from King's stage 1 to King's stage 3 in a cluster encompassing motor and cognitive areas. As King's stage increases, we found a decrease of connectivity within the sensorimotor and cognitive areas. The IRCA also showed the connectivity of motor and cognitive regions with temporal and cerebellar regions. The connectivity with temporal regions found in King's stage 1 decreases in King's stage 2 and finally, disappears in King's stage 3. The connectivity with the cerebellum occurs in King's stage 2 and decreases in King's stage 3. The changes of connectivity of motor and cognitive areas with temporal and cerebellar regions among different King's stages might reflect the spread of TDP-43 proteinopathy or a compensatory mechanism, respectively. The present study suggests that 18F-FDG-PET imaging of the brain may be integrated with the King's staging system to assess the extent of the pathogenic process in the context of clinical trials.

Indexed as

Amyotrophic Lateral SclerosisBrainAgedCross-Sectional StudiesDisease ProgressionFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPositron-Emission TomographySeverity of Illness IndexFluorodeoxyglucose F1818F-FDG-PETamyotrophic lateral sclerosisconnectivityKing’s staging system

Identifiers

PMID42102258
PMCPMC13337229

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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 OpenQuestion graph.