Extracting Weight of Evidence from p-Value via Bayesian Approach to Activation Likelihood Estimation Meta-Analysis

By enabling the construction of voxel-wise maps of evidential strength while remaining fully compatible with existing analysis pipelines, the proposed approach helps to avoid common misinterpretations of <i>p</i>-values and improves the interpretability and reliability of neuroimaging meta-analytic conclusions. It therefore provides a conservative, Bayesian-inspired complement to standard significance maps.

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Publication Details

Journal
Brain Sciences
Published
2026-01-12
DOI
https://doi.org/10.3390/brainsci16010087
Primary Topic
Meta-analysis and systematic reviews
Type
article
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article

Extracting Weight of Evidence from p-Value via Bayesian Approach to Activation Likelihood Estimation Meta-Analysis

Franco Cauda, Annachiara Crocetta, Donato Liloia, Jordi Manuello et al.
Brain Sciences
Meta-analysis and systematic reviews
article

Extracting Weight of Evidence from p-Value via Bayesian Approach to Activation Likelihood Estimation Meta-Analysis

Franco Cauda, Annachiara Crocetta, Donato Liloia, Jordi Manuello, Tommaso Costa
article en

Abstract

By enabling the construction of voxel-wise maps of evidential strength while remaining fully compatible with existing analysis pipelines, the proposed approach helps to avoid common misinterpretations of <i>p</i>-values and improves the interpretability and reliability of neuroimaging meta-analytic conclusions. It therefore provides a conservative, Bayesian-inspired complement to standard significance maps.

Brain SciencesVol. 16(1)
Neuroscience Institute (IT), Ospedale Koelliker (IT), University of Aosta Valley (IT), University of Turin (IT)
Openalex Percentile: Top 92%
Meta-analysis and systematic reviews
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Extracting Weight of Evidence from p-Value via Bayesian Approach to Activation Likelihood Estimation Meta-Analysis — Franco Cauda, Annachiara Crocetta, et al. · Brain Sciences (2026) | TGRS Research Map | TGRS