Evidence map›Paper›PMID 30023173›Full record

ArticleNeuroImage. Clinical2018

Cortical markers of cognitive syndromes in amyotrophic lateral sclerosis.

Monica Consonni, Valeria E Contarino, Eleonora Catricalà, Eleonora Dalla Bella, Viviana Pensato, Cinzia Gellera, Giuseppe Lauria, Stefano F Cappa

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Mild cognitive impairment in amyotrophic lateral sclerosis: current view.Journal of neural transmission (Vienna, Austria : 1996) · 2025
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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

8 authors at 4 institutions in 1 country.

Monica Consonni3rd Neurology Unit and Motor Neuron Diseases Centre, Department of Clinical Neurosciences, IRCCS Foundation "Carlo Besta" Neurological Institute, Via Celoria 11, 20133 Milan, Italy. Electronic address: monica.consonni@istituto-besta.it.
Valeria E ContarinoNeuroradiology Unit, IRCCS Foundation "Carlo Besta" Neurological Institute, Via Celoria 11, 20133 Milan, Italy.
Eleonora CatricalàInstitute for Advanced Study-IUSS Pavia, Palazzo del Broletto e Piazza Vittoria 15, 27100 Pavia, Italy.
Eleonora Dalla Bella3rd Neurology Unit and Motor Neuron Diseases Centre, Department of Clinical Neurosciences, IRCCS Foundation "Carlo Besta" Neurological Institute, Via Celoria 11, 20133 Milan, Italy.
Viviana PensatoGenetics of Neurodegenerative and Metabolic Diseases Unit and Motor Neuron Diseases Centre, Department of Clinical Neurosciences, IRCCS Foundation 'Carlo Besta' Neurological Institute, Via Celoria 11, 20133 Milan, Italy.
Cinzia GelleraGenetics of Neurodegenerative and Metabolic Diseases Unit and Motor Neuron Diseases Centre, Department of Clinical Neurosciences, IRCCS Foundation 'Carlo Besta' Neurological Institute, Via Celoria 11, 20133 Milan, Italy.
Giuseppe Lauria3rd Neurology Unit and Motor Neuron Diseases Centre, Department of Clinical Neurosciences, IRCCS Foundation "Carlo Besta" Neurological Institute, Via Celoria 11, 20133 Milan, Italy; Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Italy.
Stefano F CappaInstitute for Advanced Study-IUSS Pavia, Palazzo del Broletto e Piazza Vittoria 15, 27100 Pavia, Italy; IRCCS S. Giovanni di Dio Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy.
Fondazione IRCCS Istituto Neurologico Carlo Besta · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Universitario di Studi Superiori di Pavia · ITLuigi Sacco Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) can be associated with a spectrum of cognitive and behavioural symptoms, but the related patterns of focal cortical atrophy in non-demented ALS patients remain largely unknown. We enrolled 48 non-demented ALS patients and 26 healthy controls for a comprehensive neuropsychological assessment and a magnetic resonance exam. Behavioural and cognitive impairment was defined on the basis of a data-driven multi-domain approach in 21 ALS patients. Averaged cortical thickness of 74 bilateral brain regions was used as a measure of cortical atrophy. Cortical thinning in a fronto-parietal network, suggesting a disease-specific pattern of neurodegeneration, was present in all patients, independent of cognitive and behavioural status. Between-group and correlational analyses revealed that inferior frontal, temporal, cingular and insular thinning are markers for cognitive and behavioural deficits, with language impairment mainly related to left temporal pole and insular involvement. These specific correlates support the concept of a spectrum of deficits, with an overlap between the ALS cognitive phenotypes and the syndromes of frontotemporal dementia.

Indexed as

AgedAmyotrophic Lateral SclerosisAtrophyCerebral CortexCognition DisordersFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsALS, amyotrophic lateral sclerosisALSbi, ALS with mild behavioural impairmentALSci, ALS with mild cognitive impairmentALScn, cognitively-normal ALSALSimp, ALS with cognitive and/or behavioural impairmentAmyotrophic lateral sclerosisC9+ ALS, ALS harbouring C9orf72 repeat expansionC9– ALS, ALS without C9orf repeat expansionCognitive impairmentCognitive profilesCortical thicknessCT, cortical thicknessFTD, frontotemporal dementiaGM, grey matterHC, healthy controlMD, multi-domainTemporal lobe

Identifiers

PMID30023173
PMCPMC6046611
OpenAlexW2804959296

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.