Evidence map›Paper›PMID 31451737›Full record

ReviewNature human behaviour2019

Assessing inter-individual differences with task-related functional neuroimaging.

Maël Lebreton, Sophie Bavard, Jean Daunizeau, Stefano Palminteri

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature human behaviour, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Largely Intact But Less Reliable and Distributed Neural Representations of Subjective Value in Human Opioid Addiction.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maël LebretonNeurology and Imaging of Cognition (LabNIC), Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland. mael.lebreton@unige.ch.ORCID http://orcid.org/0000-0002-2071-4890
Sophie BavardLaboratoire de Neurosciences Cognitives et Computationnelles, Institut National de la Santé et de la Recherche Médicale, Paris, France.ORCID http://orcid.org/0000-0002-9283-2976
Jean DaunizeauMotivation, Brain & Behavior team, Institut du Cerveau et de la Moelle épinière (ICM), Paris, France.ORCID http://orcid.org/0000-0001-9142-1270
Stefano PalminteriLaboratoire de Neurosciences Cognitives et Computationnelles, Institut National de la Santé et de la Recherche Médicale, Paris, France.ORCID http://orcid.org/0000-0001-5768-6646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Explaining and predicting individual behavioural differences induced by clinical and social factors constitutes one of the most promising applications of neuroimaging. In this Perspective, we discuss the theoretical and statistical foundations of the analyses of inter-individual differences in task-related functional neuroimaging. Leveraging a five-year literature review (July 2013-2018), we show that researchers often assess how activations elicited by a variable of interest differ between individuals. We argue that the rationale for such analyses, typically grounded in resource theory, offers an over-large analytical and interpretational flexibility that undermines their validity. We also recall how, in the established framework of the general linear model, inter-individual differences in behaviour can act as hidden moderators and spuriously induce differences in activations. We conclude with a set of recommendations and directions, which we hope will contribute to improving the statistical validity and the neurobiological interpretability of inter-individual difference analyses in task-related functional neuroimaging.

Indexed as

Functional NeuroimagingIndividualityMagnetic Resonance ImagingPsychomotor PerformanceBrainHumansReinforcement, PsychologyTask Performance and Analysis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.