Evidence map›Paper›PMID 42288473›Full record

ArticleNature communications2026

Trial-by-trial fMRI-neurofeedback dissociates fusiform and occipital contributions to face detection and recognition.

Lucas Peek, Yury Koush, Patrik Vuilleumier

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Lucas PeekLaboratory for Behavioural Neurology and Imaging of Cognition, Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland. lucas.peek@unige.ch.ORCID http://orcid.org/0009-0007-6016-9317
Yury KoushCenter for Bio- and Medical Technologies, Moscow, Russia.ORCID http://orcid.org/0000-0002-3684-5641
Patrik VuilleumierLaboratory for Behavioural Neurology and Imaging of Cognition, Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-8198-9214

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 320030_166704Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 320030_192792
6 · The paper itself

Abstract

Self-regulation of specific brain regions can be achieved using neurofeedback with real-time functional magnetic resonance imaging (rt-fMRI). We leveraged this technique to dissect the role of two tightly interconnected areas implicated in face perception, by interleaving a visual task with upregulation of either the occipital (OFA) or fusiform face-responsive areas (FFA) in a trial-wise manner. Experimental participants (N = 22) successfully enhanced their target region when compared to yoked controls (N = 20). Regulation was face-selective, as evidenced by concomitant increases in other nodes of the face processing network. Critically, face detection was faster with enhanced FFA activity but hindered by enhanced OFA, whereas face identity recognition was optimal with concomitant increases in both FFA and OFA. These results argue against traditional face processing models assuming an information flow from posterior occipital to anterior fusiform cortex and instead support non-hierarchical models where FFA mediates initial face detection and OFA contributes to subsequent identity recognition.

Indexed as

Facial RecognitionMagnetic Resonance ImagingNeurofeedbackOccipital LobeTemporal LobeAdultBrain MappingFaceFemaleHumansMalePattern Recognition, VisualPhotic StimulationYoung Adult

Identifiers

PMID42288473
PMCPMC13409027

What OpenQuestion holds

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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.