Evidence map›Paper›PMID 41862206›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2026

The Comodification of Brain Activity, Functional Connectivity, and Behavior Following Learning.

Yael Coldham, Neta Haluts, Eden Elbaz, Tamar Ben-David, Nell Racabi, Shachar Gal, Michal Bernstein-Eliav, Naama Friedmann, Ido Tavor

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 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

9 authors.

Yael ColdhamGray School of Medical Sciences, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 69978, Israel yaelshavit1@mail.tau.ac.il.ORCID 0009-0006-4872-6910
Neta HalutsSagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.
Eden ElbazSagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.
Tamar Ben-DavidGray School of Medical Sciences, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Nell RacabiSagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.
Shachar GalGray School of Medical Sciences, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Michal Bernstein-EliavGray School of Medical Sciences, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Naama FriedmannSagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.
Ido TavorGray School of Medical Sciences, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 69978, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skill acquisition is a complex process which involves experience-dependent reorganization of functional brain networks. Learning-derived modifications have been widely reported, in both task-evoked neural activity and resting-state functional connectivity (FC). Taking the close correspondence between the two into account, in this work, we investigated FC alterations following learning and their relations to changes in activity and to behavioral learning outcomes. Hearing individuals naive to sign languages (

Indexed as

BrainLearningNerve NetSign LanguageAdultBrain MappingConnectomeFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung Adultactivitybehaviorconnectivitylanguagelearningskill acquisition

Identifiers

PMID41862206
PMCPMC13108384

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.