Evidence map›Paper›PMID 29432527›Full record

ArticleGigaScience2018

Advanced lesion symptom mapping analyses and implementation as BCBtoolkit.

Chris Foulon, Leonardo Cerliani, Serge Kinkingnéhun, Richard Levy, Charlotte Rosso, Marika Urbanski, Emmanuelle Volle, Michel Thiebaut de Schotten

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 196 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
196citing papers in PubMed, 4 pooled it
28.5field-weighted citation impact, top 1% 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

196 citing papers in PubMed, 4 syntheses or guidelines pooled it, 371 citations in OpenAlex.

  1. Topography and functional connectivity analysis of heart surgery-associated brain lesions: a literature review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  15. Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery.medRxiv : the preprint server for health sciences · 2026
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136 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Chris FoulonBrain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.
Leonardo CerlianiBrain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.
Serge KinkingnéhunBrain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.
Richard LevyFrontlab, Institut du Cerveau et de la Moelle épinière (ICM), UPMC UMRS 1127, Inserm U 1127, CNRS UMR 7225, Paris, France.
Charlotte RossoCentre de Neuroimagerie de Recherche CENIR, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
Marika UrbanskiBrain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.
Emmanuelle VolleBrain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.
Michel Thiebaut de SchottenBrain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.
Centre National de la Recherche Scientifique · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction between brain areas rather than their sole activity. For instance, category fluency requires the associations between executive, semantic, and language production functions. Findings: Here, we provide, for the first time, a set of complementary solutions for measuring the impact of a given lesion on the neuronal circuits. Our methods, which were applied to 37 patients with a focal frontal brain lesions, revealed a large set of directly and indirectly disconnected brain regions that had significantly impacted category fluency performance. The directly disconnected regions corresponded to areas that are classically considered as functionally engaged in verbal fluency and categorization tasks. These regions were also organized into larger directly and indirectly disconnected functional networks, including the left ventral fronto-parietal network, whose cortical thickness correlated with performance on category fluency. Conclusions: The combination of structural and functional connectivity together with cortical thickness estimates reveal the remote effects of brain lesions, provide for the identification of the affected networks, and strengthen our understanding of their relationship with cognitive and behavioral measures. The methods presented are available and freely accessible in the BCBtoolkit as supplementary software [1].

Indexed as

Magnetic Resonance ImagingAdultAgedBrainBrain MappingFemaleHumansLanguageMaleMiddle AgedNeuronsSemantics

Identifiers

PMID29432527
PMCPMC5863218
OpenAlexW2949310792

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.