Evidence map›Paper›PMID 37994909›Full record

ArticleeLife2023

Cross-movie prediction of individualized functional topography.

Guo Jiahui, Ma Feilong, Samuel A Nastase, James V Haxby, M Ida Gobbini

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  4. Article
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

5 authors.

Guo JiahuiCenter for Cognitive Neuroscience, Dartmouth College, Hanover, United States.ORCID 0000-0002-1528-9025
Ma FeilongCenter for Cognitive Neuroscience, Dartmouth College, Hanover, United States.
Samuel A NastasePrinceton Neuroscience Institute, Princeton University, Princeton, United States.
James V HaxbyCenter for Cognitive Neuroscience, Dartmouth College, Hanover, United States.ORCID 0000-0002-6558-3118
M Ida GobbiniDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.ORCID 0000-0001-6727-7934

Funding

Infrastructure for hyperaligning fMRI data and estimating functional topographiesR01MH127199 · NIMH · DARTMOUTH COLLEGE · PI GOBBINI, MARIA I, HAXBY, JAMES V · 2022 to 2025
$2.5M
NIMH NIH HHS MH127199NIMH NIH HHS R01 MH127199
6 · The paper itself

Abstract

Participant-specific, functionally defined brain areas are usually mapped with functional localizers and estimated by making contrasts between responses to single categories of input. Naturalistic stimuli engage multiple brain systems in parallel, provide more ecologically plausible estimates of real-world statistics, and are friendly to special populations. The current study shows that cortical functional topographies in individual participants can be estimated with high fidelity from naturalistic stimuli. Importantly, we demonstrate that robust, individualized estimates can be obtained even when participants watched different movies, were scanned with different parameters/scanners, and were sampled from different institutes across the world. Our results create a foundation for future studies that allow researchers to estimate a broad range of functional topographies based on naturalistic movies and a normative database, making it possible to integrate high-level cognitive functions across datasets from laboratories worldwide.

Indexed as

Academies and InstitutesMotion PicturesBrainCognitionDatabases, FactualHumanscategory selectivityconnectivityhumanhyperalignmentlocalizernaturalistic stimulineuroscience

Identifiers

PMID37994909
PMCPMC10666932

What OpenQuestion holds

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LicenceCC BY
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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.