Evidence map›Paper›PMID 36200399›Full record

ArticleBrain : a journal of neurology2023

Joint impact on attention, alertness and inhibition of lesions at a frontal white matter crossroad.

Brigitte C Kaufmann, Dario Cazzoli, Manuela Pastore-Wapp, Tim Vanbellingen, Tobias Pflugshaupt, Daniel Bauer, René M Müri, Tobias Nef, Paolo Bartolomeo, Thomas Nyffeler

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  6. Review
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  8. Article
  9. Severity-Dependent Interhemispheric White Matter Connectivity Predicts Poststroke Neglect Recovery.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Observational
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Brigitte C KaufmannSorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, Inserm, CNRS, Paris, France.ORCID 0000-0002-0766-8068
Dario CazzoliNeurocenter, Luzerner Kantonsspital, 6000 Lucerne, Switzerland.ORCID 0000-0001-7217-7153
Manuela Pastore-WappNeurocenter, Luzerner Kantonsspital, 6000 Lucerne, Switzerland.ORCID 0000-0003-2603-8915
Tim VanbellingenNeurocenter, Luzerner Kantonsspital, 6000 Lucerne, Switzerland.ORCID 0000-0002-0884-2005
Tobias PflugshauptNeurocenter, Luzerner Kantonsspital, 6000 Lucerne, Switzerland.
Daniel BauerNeurocenter, Luzerner Kantonsspital, 6000 Lucerne, Switzerland.
René M MüriARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation, University of Bern, 3008 Bern, Switzerland.ORCID 0000-0001-6990-4188
Tobias NefARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation, University of Bern, 3008 Bern, Switzerland.
Paolo BartolomeoSorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, Inserm, CNRS, Paris, France.ORCID 0000-0002-2640-6426
Thomas NyffelerNeurocenter, Luzerner Kantonsspital, 6000 Lucerne, Switzerland.ORCID 0000-0003-2504-8935
University of Bern · CHCentre National de la Recherche Scientifique · FRLuzerner Kantonsspital · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In everyday life, information from different cognitive domains-such as visuospatial attention, alertness and inhibition-needs to be integrated between different brain regions. Early models suggested that completely segregated brain networks control these three cognitive domains. However, more recent accounts, mainly based on neuroimaging data in healthy participants, indicate that different tasks lead to specific patterns of activation within the same, higher-order and 'multiple-demand' network. If so, then a lesion to critical substrates of this common network should determine a concomitant impairment in all three cognitive domains. The aim of the present study was to critically investigate this hypothesis, i.e. to identify focal stroke lesions within the network that can concomitantly affect visuospatial attention, alertness and inhibition. We studied an unselected sample of 60 first-ever right-hemispheric, subacute stroke patients using a data-driven, bottom-up approach. Patients performed 12 standardized neuropsychological and oculomotor tests, four per cognitive domain. A principal component analysis revealed a strong relationship between all three cognitive domains: 10 of 12 tests loaded on a first, common component. Analysis of the neuroanatomical lesion correlates using different approaches (i.e. voxel-based and tractwise lesion-symptom mapping, disconnectome maps) provided convergent evidence on the association between severe impairment of this common component and lesions at the intersection of superior longitudinal fasciculus II and III, frontal aslant tract and, to a lesser extent, the putamen and inferior fronto-occipital fasciculus. Moreover, patients with a lesion involving this region were significantly more impaired in daily living cognition, which provides an ecological validation of our results. A probabilistic functional atlas of the multiple-demand network was performed to confirm the potential relationship between patients' lesion substrates and observed cognitive impairments as a function of the multiple-demand network connectivity disruption. These findings show, for the first time, that a lesion to a specific white matter crossroad can determine a concurrent breakdown in all three considered cognitive domains. Our results support the multiple-demand network model, proposing that different cognitive operations depend on specific collaborators and their interaction, within the same underlying neural network. Our findings also extend this hypothesis by showing (i) the contribution of superior longitudinal fasciculus and frontal aslant tract to the multiple-demand network; and (ii) a critical neuroanatomical intersection, crossed by a vast amount of long-range white matter tracts, many of which interconnect cortical areas of the multiple-demand network. The vulnerability of this crossroad to stroke has specific cognitive and clinical consequences; this has the potential to influence future rehabilitative approaches.

Indexed as

StrokeWhite MatterAttentionBrainBrain MappingHumansMagnetic Resonance ImagingNeuropsychological Testsalertnessinhibitionmultiple-demand networkright-hemispheric strokevisuospatial attention

Identifiers

PMID36200399
PMCPMC10115237
OpenAlexW4302761435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.