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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2022-09-01
|
Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/76926 |
_version_ | 1811181887782125568 |
---|---|
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. |
first_indexed | 2024-04-11T09:23:22Z |
format | Article |
id | doaj.art-2ae2514d645d45c0a0cd23b07d4d1c2f |
institution | Directory Open Access Journal |
issn | 2050-084X |
language | English |
last_indexed | 2024-04-11T09:23:22Z |
publishDate | 2022-09-01 |
publisher | eLife Sciences Publications Ltd |
record_format | Article |
series | eLife |
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 |
work_keys_str_mv | AT majdabdallah functionalgradientsinthehumanlateralprefrontalcortexrevealedbyacomprehensivecoordinatebasedmetaanalysis AT gastonezanitti functionalgradientsinthehumanlateralprefrontalcortexrevealedbyacomprehensivecoordinatebasedmetaanalysis AT valentiniovene functionalgradientsinthehumanlateralprefrontalcortexrevealedbyacomprehensivecoordinatebasedmetaanalysis AT demianwassermann functionalgradientsinthehumanlateralprefrontalcortexrevealedbyacomprehensivecoordinatebasedmetaanalysis |