Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis

The lateral prefrontal cortex (LPFC) of humans enables flexible goal-directed behavior. However, its functional organization remains actively debated after decades of research. Moreover, recent efforts aiming to map the LPFC through meta-analysis are limited, either in scope or in the inferred speci...

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Main Authors: Majd Abdallah, Gaston E Zanitti, Valentin Iovene, Demian Wassermann
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2022-09-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/76926
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author Majd Abdallah
Gaston E Zanitti
Valentin Iovene
Demian Wassermann
author_facet Majd Abdallah
Gaston E Zanitti
Valentin Iovene
Demian Wassermann
author_sort Majd Abdallah
collection DOAJ
description The lateral prefrontal cortex (LPFC) of humans enables flexible goal-directed behavior. However, its functional organization remains actively debated after decades of research. Moreover, recent efforts aiming to map the LPFC through meta-analysis are limited, either in scope or in the inferred specificity of structure-function associations. These limitations are in part due to the limited expressiveness of commonly-used data analysis tools, which restricts the breadth and complexity of questions that can be expressed in a meta-analysis. Here, we adopt NeuroLang, a novel approach to more expressive meta-analysis based on probabilistic first-order logic programming, to infer the organizing principles of the LPFC from 14,371 neuroimaging studies. Our findings reveal a rostrocaudal and a dorsoventral gradient, respectively explaining the most and second most variance in meta-analytic connectivity across the LPFC. Moreover, we identify a unimodal-to-transmodal spectrum of coactivation patterns along with a concrete-to-abstract axis of structure-function associations extending from caudal to rostral regions of the LPFC. Finally, we infer inter-hemispheric asymmetries along the principal rostrocaudal gradient, identifying hemisphere-specific associations with topics of language, memory, response inhibition, and sensory processing. Overall, this study provides a comprehensive meta-analytic mapping of the LPFC, grounding future hypothesis generation on a quantitative overview of past findings.
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spelling doaj.art-2ae2514d645d45c0a0cd23b07d4d1c2f2022-12-22T04:32:05ZengeLife Sciences Publications LtdeLife2050-084X2022-09-011110.7554/eLife.76926Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysisMajd Abdallah0https://orcid.org/0000-0002-8371-1793Gaston E Zanitti1https://orcid.org/0000-0001-5549-9548Valentin Iovene2Demian Wassermann3https://orcid.org/0000-0001-5194-6056MIND team, Inria, CEA, Université Paris-Saclay, Palaiseau, France; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FranceMIND team, Inria, CEA, Université Paris-Saclay, Palaiseau, France; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FranceMIND team, Inria, CEA, Université Paris-Saclay, Palaiseau, France; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FranceMIND team, Inria, CEA, Université Paris-Saclay, Palaiseau, France; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FranceThe lateral prefrontal cortex (LPFC) of humans enables flexible goal-directed behavior. However, its functional organization remains actively debated after decades of research. Moreover, recent efforts aiming to map the LPFC through meta-analysis are limited, either in scope or in the inferred specificity of structure-function associations. These limitations are in part due to the limited expressiveness of commonly-used data analysis tools, which restricts the breadth and complexity of questions that can be expressed in a meta-analysis. Here, we adopt NeuroLang, a novel approach to more expressive meta-analysis based on probabilistic first-order logic programming, to infer the organizing principles of the LPFC from 14,371 neuroimaging studies. Our findings reveal a rostrocaudal and a dorsoventral gradient, respectively explaining the most and second most variance in meta-analytic connectivity across the LPFC. Moreover, we identify a unimodal-to-transmodal spectrum of coactivation patterns along with a concrete-to-abstract axis of structure-function associations extending from caudal to rostral regions of the LPFC. Finally, we infer inter-hemispheric asymmetries along the principal rostrocaudal gradient, identifying hemisphere-specific associations with topics of language, memory, response inhibition, and sensory processing. Overall, this study provides a comprehensive meta-analytic mapping of the LPFC, grounding future hypothesis generation on a quantitative overview of past findings.https://elifesciences.org/articles/76926lateral prefrontal cortexmeta-analysisrostrocaudal gradientprobabilistic logic programmingneuroinformaticsspecificity
spellingShingle Majd Abdallah
Gaston E Zanitti
Valentin Iovene
Demian Wassermann
Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis
eLife
lateral prefrontal cortex
meta-analysis
rostrocaudal gradient
probabilistic logic programming
neuroinformatics
specificity
title Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis
title_full Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis
title_fullStr Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis
title_full_unstemmed Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis
title_short Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis
title_sort functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate based meta analysis
topic lateral prefrontal cortex
meta-analysis
rostrocaudal gradient
probabilistic logic programming
neuroinformatics
specificity
url https://elifesciences.org/articles/76926
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AT valentiniovene functionalgradientsinthehumanlateralprefrontalcortexrevealedbyacomprehensivecoordinatebasedmetaanalysis
AT demianwassermann functionalgradientsinthehumanlateralprefrontalcortexrevealedbyacomprehensivecoordinatebasedmetaanalysis