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Fusiform face area development correlates with development in higher-order social brain regions.

Code ↔ Paper

10 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 10 matches
  1. [1] § Materials and methods › fMRI data analysis › Motion treatment ↔ scripts/05.motion_exclusions/mark_motion_exclusions.py, lines 142–217 · score 0.80 · composite motion, framewise displacement, standardised DVARS, rapidart, thresholds, workflow
  2. [2] § Results › Development of FFA face response and functional connectivity ↔ scripts/FRIC_DevelopmentalChange.Rmd, lines 1614–1713 · score 0.76 · left STS, left amygdala, left MMPFC, right STS, right amygdala, right MMPFC
  3. [3] § Results › Development of FFA face response and functional connectivity ↔ scripts/FRIC_FunctionalMaturityFFA.Rmd, lines 1209–1300 · score 0.75 · left STS, left amygdala, left MMPFC, right STS, right amygdala, right MMPFC
  4. [4] § Materials and methods › fMRI data analysis › Region of interest (ROI) definition ↔ scripts/06.first_level/define_fROIs.py, lines 113–201 · score 0.71 · ROI definition, fROI, search space, ranking, maps, voxel
  5. [5] § Materials and methods › Statistical analyses › Developmental change in functional responses of FFA, MMPFC, amygdala and STS ↔ scripts/FRIC_DevelopmentalChange.Rmd, lines 697–838 · score 0.58 · scene events, face events, S01, S12, interaction, hemisphere
  6. [6] § Materials and methods › Statistical analyses › Associations between functional maturity of FFA and its functional connectivity to MMPFC, amygdala and STS ↔ scripts/FRIC_FunctionalMaturityFFA.Rmd, lines 304–429 · score 0.56 · preregistered linear mixed, independent variable, functional maturity, reversed, right FFA, interaction
  7. [7] § Materials and methods › fMRI data analysis › Inter-region correlations (i.e., functional connectivity) ↔ scripts/FRIC_MRIvariables.Rmd, lines 717–776 · score 0.53 · inter region correlations, Pearson correlations, ROIs, STS, MMPFC, FFA
  8. [8] § Materials and methods › fMRI data analysis › Timecourse extraction ↔ scripts/06.first_level/firstlevel_pipeline.py, lines 205–257 · score 0.52 · aCompCor, outlier volumes, regressed, filtered
  9. [9] § Materials and methods › fMRI data analysis › Region of interest (ROI) definition ↔ scripts/06.first_level/extract_stats.py, lines 20–63 · score 0.51 · localiser task, beliefs, fROI, split, events, model
  10. [10] § Materials and methods › fMRI data analysis › Functional maturity ↔ scripts/FRIC_MRIvariables.Rmd, lines 209–309 · score 0.51 · Pearson correlation, fROIs, scored, child, adult, STS

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

R Markdown · 2,474 lines · 81 KB · no license · 2 matches

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It can be read at the source: scripts/FRIC_DevelopmentalChange.Rmd.

Overview

Authors: Lorena Jiménez-Sánchez1, Melissa Thye1, Hilary Richardson1
ORCID iDs: Lorena Jiménez-Sánchez
  1. Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
Institutions: University of Edinburgh (United Kingdom)
Journal: Developmental cognitive neuroscience, volume 80, article 101765
Dates: received 12 March 2026; accepted 16 June 2026; published online 18 June 2026; in print August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1016/j.dcn.2026.101765 · PMID 42322775 · PMCID PMC13312595 · OpenAlex W7165176499
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: fMRI (modality), human (organism)
Methods: Statistics, Preprocessing, Connectivity, fMRI & imaging
Keywords: Face selectivity, development, social cognition, fusiform face area, paediatric fMRI
MeSH: Amygdala*, Facial Recognition*, Prefrontal Cortex*, Social Perception*, Temporal Lobe*, Adult, Brain Mapping, Child, Child, Preschool, Cross-Sectional Studies, Female, Humans, Magnetic Resonance Imaging, Male, Young Adult (* major topic)
Topic: Face Recognition and Perception (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: University of Edinburgh (108890/Z/15/Z); Wellcome Trust (108890/Z/15/Z)
Citations: not cited yet (Europe PMC); 82 references in the paper

Abstract

The fusiform face area (FFA) preferentially responds to faces within the first months of life. One hypothesis is that higher-order social responses in middle medial prefrontal cortex (MMPFC) or face responses in superior temporal sulcus (STS) drive the development of face-selective responses in FFA, with right-hemisphere dominance in FFA eventually arising from lateralised connections to these regions. Another hypothesis proposes an innate face template in the amygdala guides attention to face-like shapes. This study opportunistically examined the development of the FFA, MMPFC, STS, and amygdala in childhood using an open cross-sectional movie-viewing fMRI dataset with 3–12-year-olds (N = 117, M = 6.77 years) and adults (N = 33, M = 24.77 years). We tested for correlations between FFA development and development in MMPFC, STS, and amygdala on the premise that associations between these regions may be observable even in children, and such associations could constrain hypotheses and analytic approaches in future studies with infants. First, we measured functional maturity- i.e., how similar each child’s response to the movie was to an adult average response timecourse. In all regions, older children’s responses were more adult-like. Next, we tested whether FFA maturity correlated with functional connectivity with, or functional maturity of, MMPFC, STS, or amygdala. Children with more mature right FFA responses showed stronger right FFA-right MMPFC connectivity. Children with more mature FFA responses also had more mature STS responses, bilaterally. This study provides preliminary evidence that FFA co-develops with higher-order social brain regions.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repositories

Its files are read in the Code ↔ Paper reader above, with 10 matches between paragraphs and lines of code.

hrichardsonlab/fmri-analysis

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 15a4d88696a4daa910c428d636a1d5ad90c581d5, 10 September 2026
Languages: Python (24), Shell (18), R (1)
Size: 310 files, 43 scripts
Software Heritage: not archived
Found in: “Data availability”
Holds: README, 1 notebook
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: NumPy (24 files), pandas (24 files), Nipype (14 files), Nilearn (11 files), NiBabel (9 files), SciPy (8 files), FSL (6 files), PyBIDS (5 files), fMRIPrep (4 files), Dcm2Bids (2 files), FreeSurfer (2 files), ANTs (1 file), Matplotlib (1 file), MRIQC (1 file), scikit-learn (1 file), tedana (1 file), tidyverse (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
44 files, not copied: shown from their source

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At the source: github.com/hrichardsonlab/fmri-analysis

LorenaJS/FRIC

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 9982f13ac4e7399ce88801d7264b89bb0c45139c, 22 May 2026
Languages: R (5)
Size: 18 files, 5 scripts
Software Heritage: not archived
Found in: “Data availability”
Holds: README, 5 notebooks
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: tidyverse (5 files), ggpubr (4 files), patchwork (4 files), broom (3 files), car (3 files), lme4 (3 files), lmerTest (3 files), reshape2 (3 files)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
6 files, not copied: shown from their source

OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 9982f13, when its fingerprint is the one OSCR verified. How this works.

At the source: github.com/LorenaJS/FRIC

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 48 scripts, each with its path and the digest of its content;
  • 10 matches between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Data availability

The movie fMRI data analysed during the current study (originally collected by Richardson et al., 2018) are publicly available on OpenNeuro (https://openneuro.org/datasets/ds000228). Further details about the fMRI analysis pipeline, and publicly available code, can be found at https://github.com/hrichardsonlab/fmri-analysis. Average timecourses from the referent adult populations, used as regressors in this study, are available through OSF (https://osf.io/7a8w5/ for FFA and LOC, and https://osf.io/mxkag/ for MMPFC and S2). Search spaces are also available through OSF (https://osf.io/mxkag/ for MMPFC and S2 split by hemisphere, and left FFA defined by flipping the right FFA search space). Data and scripts used for this analysis can be accessed at https://github.com/LorenaJS/FRIC.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 3 authors, 5 keywords, 15 MeSH terms, 2 funders, 78 references.

Cite

This paper

Jiménez-Sánchez, L., Thye, M., & Richardson, H. (2026). Fusiform face area development correlates with development in higher-order social brain regions. Developmental cognitive neuroscience, 80, 101765. https://doi.org/10.1016/j.dcn.2026.101765

BibTeX

@article{jimenezsanchez2026fusiform,
author = {Jiménez-Sánchez, Lorena and Thye, Melissa and Richardson, Hilary},
title = {{Fusiform face area development correlates with development in higher-order social brain regions}},
journal = {Developmental cognitive neuroscience},
year = {2026},
month = jun,
volume = {80},
pages = {101765},
publisher = {Elsevier},
issn = {1878-9293},
doi = {10.1016/j.dcn.2026.101765},
url = {https://doi.org/10.1016/j.dcn.2026.101765},
pmid = {42322775},
pmcid = {PMC13312595}
}

RIS

TY - JOUR
AU - Jiménez-Sánchez, Lorena
AU - Thye, Melissa
AU - Richardson, Hilary
TI - Fusiform face area development correlates with development in higher-order social brain regions
T2 - Developmental cognitive neuroscience
J2 - Dev Cogn Neurosci
PY - 2026
DA - 2026/06/18
VL - 80
SP - 101765
SN - 1878-9293
PB - Elsevier
DO - 10.1016/j.dcn.2026.101765
UR - https://doi.org/10.1016/j.dcn.2026.101765
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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