Evidence map›Paper›PMID 42238060›Full record

ArticleArXiv2026

Flexibility and Invariance of Object Representations in the Human Brain.

Julien Dirani, Shankar Chawla, Leila Wehbe, Bradford Z Mahon

Abstract readPreprint
In one paragraph

Article in ArXiv, 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

5 · Who and what money

Authors and funding

4 authors.

Julien DiraniNeuroscience Institute, Carnegie Mellon University, USA.
Shankar ChawlaDepartment of Psychology, Carnegie Mellon University, USA.
Leila WehbeNeuroscience Institute, Carnegie Mellon University, USA.
Bradford Z MahonNeuroscience Institute, Carnegie Mellon University, USA.

Funding

Access to parietal action representations after stroke lesions in visual cortexR01EY028535 · NEI · CARNEGIE-MELLON UNIVERSITY · PI MAHON, BRADFORD ZACK, SAHIN, BOGACHAN · 2019 to 2022
$1.7M
SCH: SEEthroughGLAUCOMA: Smart Eye Emulator (SEE) to study glaucoma risk factorsR01EY034718 · NEI · UNIVERSITY OF MAINE ORONO · PI GUIDOBONI, GIOVANNA, HARRIS, ALON · 2022 to 2025
$975k
NEI NIH HHS R01 EY028535NEI NIH HHS R01 EY034718
6 · The paper itself

Abstract

The human brain represents objects in a way that is both invariant across instances and flexible enough to support different contexts and tasks. Yet how the brain reconciles these demands, holding an objecťs representation stable while flexibly reshaping it to meet the current context, remains unknown. Using fMRI during naturalistic movie viewing we investigated how the same objects are represented when they are passive scene elements versus targets of goal-directed actions. Action targets engaged a parietal action network centered in the supramarginal and postcentral gyri, while passive objects recruited a distributed occipito-temporal network involved in visual object recognition. Within context-selective networks, representational geometry showed a double dissociation: target objects were organized by action affordance and hand posture affordance dimensions, while passive objects aligned with semantic dimensions. The visual structure of object representations, by contrast, was invariant across contexts. Searchlight analyses further showed that this dissociation reflected the relative engagement of networks of regions rather than the strict presence or absence of each representational format. Flexibility and invariance are not opposing principles of neural representation, but operate simultaneously at different levels of a common, distributed representational system.

Indexed as

context-dependent modulationencoding modelsinvariancenaturalistic fMRIobject representations

Identifiers

PMID42238060
PMCPMC13229080

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.