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...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:eLife Ročník 11
Hlavní autori: Abdallah, Majd, Zanitti, Gaston E, Iovene, Valentin, Wassermann, Demian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England eLife Science Publications, Ltd 28.09.2022
eLife Sciences Publications Ltd
eLife Sciences Publication
eLife Sciences Publications, Ltd
Predmet:
Analysis
Artificial Intelligence
Bioengineering
Brain
Brain Mapping
Cognitive science
Computer Science
Cortex (somatosensory)
Functional morphology
Humans
Hypotheses
Imaging
Information management
Information processing
lateral prefrontal cortex
Life Sciences
Logic in Computer Science
Magnetic Resonance Imaging
Meta-analysis
Neural networks
Neuroimaging
neuroinformatics
Neuroscience
Neurosciences
Prefrontal cortex
Prefrontal Cortex - physiology
Principles
probabilistic logic programming
Reviews
rostrocaudal gradient
Sensory integration
specificity
Structure-function relationships
Canada
lateral prefrontal cortex
probabilistic logic programming
neuroinformatics
neuroscience
meta-analysis
rostrocaudal gradient
specificity
human
Lateral prefrontal cortex
ISSN:2050-084X, 2050-084X
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-3
ObjectType-Evidence Based Healthcare-1
ObjectType-Feature-1
content type line 23
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.76926