Evidence map›Paper›PMID 33789131›Full record

ArticleNeuroImage2021

Multimodal neurocognitive markers of frontal lobe epilepsy: Insights from ecological text processing.

Sebastian Moguilner, Agustina Birba, Daniel Fino, Roberto Isoardi, Celeste Huetagoyena, Raúl Otoya, Viviana Tirapu, Fabián Cremaschi, Lucas Sedeño, Agustín Ibáñez and 1 more

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Social concepts and the cerebellum: behavioural and functional connectivity signatures in cerebellar ataxic patients.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  5. On the replicability of action-verb deficits in Parkinson's disease.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Automated text-level semantic markers of Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

11 authors.

Sebastian MoguilnerGlobal Brain Health Institute, UCSF, California, US, & Trinity College Dublin, Dublin, Ireland; Nuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina.
Agustina BirbaUniversity of San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Daniel FinoNuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina; Fundación Argentina para el Desarrollo en Salud, Mendoza, Argentina.
Roberto IsoardiNuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina.
Celeste HuetagoyenaNeuromed, Clinical Neuroscience, Mendoza, Argentina; Universidad Católica Argentina.
Raúl OtoyaNeuromed, Clinical Neuroscience, Mendoza, Argentina.
Viviana TirapuNuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina; Neuromed, Clinical Neuroscience, Mendoza, Argentina.
Fabián CremaschiNuclear Medicine School Foundation (FUESMEN), National Commission of Atomic Energy (CNEA), Mendoza, Argentina; Neuroscience Department of the School of Medicine, National University of Cuyo, Mendoza, Argentina; Santa Isabel de Hungría Hospital, Mendoza, Argentina.
Lucas SedeñoNational Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Agustín IbáñezGlobal Brain Health Institute, UCSF, California, US, & Trinity College Dublin, Dublin, Ireland; University of San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile.
Adolfo M GarcíaGlobal Brain Health Institute, UCSF, California, US, & Trinity College Dublin, Dublin, Ireland; University of San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Faculty of Education, National University of Cuyo (UNCuyo), Mendoza, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile. Electronic address: adolfomartingarcia@gmail.com.

Funding

US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative ResearchR01AG057234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Claudia Duran-Aniotz, Agustin M. Ibanez · 2019 to 2026
$6.1M
NIA NIH HHS R01 AG057234
6 · The paper itself

Abstract

The pressing call to detect sensitive cognitive markers of frontal lobe epilepsy (FLE) remains poorly addressed. Standard frameworks prove nosologically unspecific (as they reveal deficits that also emerge across other epilepsy subtypes), possess low ecological validity, and are rarely supported by multimodal neuroimaging assessments. To bridge these gaps, we examined naturalistic action and non-action text comprehension, combined with structural and functional connectivity measures, in 19 FLE patients, 19 healthy controls, and 20 posterior cortex epilepsy (PCE) patients. Our analyses integrated inferential statistics and data-driven machine-learning classifiers. FLE patients were selectively and specifically impaired in action comprehension, irrespective of their neuropsychological profile. These deficits selectively and specifically correlated with (a) reduced integrity of the anterior thalamic radiation, a subcortical structure underlying motoric and action-language processing as well as epileptic seizure spread in this subtype; and (b) hypoconnectivity between the primary motor cortex and the left-parietal/supramarginal regions, two putative substrates of action-language comprehension. Moreover, machine-learning classifiers based on the above neurocognitive measures yielded 75% accuracy rates in discriminating individual FLE patients from both controls and PCE patients. Briefly, action-text assessments, combined with structural and functional connectivity measures, seem to capture ecological cognitive deficits that are specific to FLE, opening new avenues for discriminatory characterizations among epilepsy types.

Indexed as

LanguageCerebral CortexCognitive DysfunctionConnectomeDiffusion Tensor ImagingEpilepsy, Frontal LobeHumansLanguage TestsMachine LearningMagnetic Resonance ImagingMultimodal ImagingNeuropsychological TestsWhite MatterCognitive markersFrontal lobe epilepsyMultimodal neuroimaging, machine learningNaturalistic discourse

Identifiers

PMID33789131
PMCPMC8272524

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.