Evidence map›Paper›PMID 31764975›Full record

ArticleBrain : a journal of neurology2020

Revisiting 'brain modes' in a new computational era: approaches for the characterization of brain-behavioural associations.

Monica N Toba, Olivier Godefroy, R Jarrett Rushmore, Melissa Zavaglia, Redwan Maatoug, Claus C Hilgetag, Antoni Valero-Cabré

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  11. When Neural Activity Fails to Reveal Causal Contributions.bioRxiv : the preprint server for biology · 2023
    Article
  12. The elusive metric of lesion load.Brain structure & function · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Monica N TobaLaboratory of Functional Neurosciences (EA 4559), University Hospital of Amiens and University of Picardy Jules Verne, Amiens, France.
Olivier GodefroyLaboratory of Functional Neurosciences (EA 4559), University Hospital of Amiens and University of Picardy Jules Verne, Amiens, France.
R Jarrett RushmoreLaboratory of Cerebral Dynamics, Plasticity and Rehabilitation, Boston University School of Medicine, Boston, MA 02118, USA.
Melissa ZavagliaInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Redwan MaatougCerebral Dynamics, Plasticity and Rehabilitation Group, FRONTLAB Team, Brain and Spine Institute, ICM, Paris, France.
Claus C HilgetagInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Antoni Valero-CabréLaboratory of Cerebral Dynamics, Plasticity and Rehabilitation, Boston University School of Medicine, Boston, MA 02118, USA.

Funding

High Resolution, Comprehensive Atlases of the Human Brain MorphologyR01MH112748 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI BOUIX, SYLVAIN, KUBICKI, MAREK · 2018 to 2022
$4.1M
NIMH NIH HHS R01 MH112748
6 · The paper itself

Abstract

The study of brain-function relationships is undergoing a conceptual and methodological transformation due to the emergence of network neuroscience and the development of multivariate methods for lesion-deficit inferences. Anticipating this process, in 1998 Godefroy and co-workers conceptualized the potential of four elementary typologies of brain-behaviour relationships named 'brain modes' (unicity, equivalence, association, summation) as building blocks able to describe the association between intact or lesioned brain regions and cognitive processes or neurological deficits. In the light of new multivariate lesion inference and network approaches, we critically revisit and update the original theoretical notion of brain modes, and provide real-life clinical examples that support their existence. To improve the characterization of elementary units of brain-behavioural relationships further, we extend such conceptualization with a fifth brain mode (mutual inhibition/masking summation). We critically assess the ability of these five brain modes to account for any type of brain-function relationship, and discuss past versus future contributions in redefining the anatomical basis of human cognition. We also address the potential of brain modes for predicting the behavioural consequences of lesions and their future role in the design of cognitive neurorehabilitation therapies.

Indexed as

Models, NeurologicalAnimalsBrainCognitionHumansNerve Netbrain-behaviour relationshipsbrain networksmultivariate analysisparadoxical lesion effectsstroke imaging

Identifiers

PMID31764975
PMCPMC7174035

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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.