Evidence map›Paper›PMID 36192557›Full record

ArticleBrain structure & function2022

Stroke disconnectome decodes reading networks.

Stephanie J Forkel, Loïc Labache, Parashkev Nachev, Michel Thiebaut de Schotten, Isabelle Hesling

Abstract read
In one paragraph

Article in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Individual differences in speech monitoring: Functional and structural correlates of delayed auditory feedback.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  5. 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

5 authors.

Stephanie J ForkelBrain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France. stephanie.forkel@gmail.com.ORCID http://orcid.org/0000-0003-0493-0283
Loïc LabacheDepartment of Psychology, Yale University, New Haven, CT, 06511, USA.
Parashkev NachevUCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3GB, UK.
Michel Thiebaut de Schotten *Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France.
Isabelle Hesling *Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France.

Funding

Donders Institute 2401512European Research Council 818521H2020 Marie Skłodowska-Curie Actions 101028551
6 · The paper itself

Abstract

Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience.

Indexed as

StrokeWhite MatterBrainBrain MappingHumansLanguageNerve NetDisconnectionExnerfMRILanguageReadingStrokeVOF

Identifiers

PMID36192557
PMCPMC9653326

What OpenQuestion holds

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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.