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Learning via short videos impairs memory accuracy and reduces brain synchrony.

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Paper

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The authors' code

Python · 64 lines · 2.3 KB · no license

  2. ## Code for Manuscript Wei et al., 2026 (Communications psychology)
  3. ## Learning via Short Videos Impairs Memory Accuracy and Reduces Brain Synchrony
  4. ## If you have any questions, please contact the first [email hidden]
  5. ## last update: 6/May/2026
  7. ### This script serves as the core code for inter-subject correlation (ISC) analysis. Before running it,
  8. ### you should first crop out the time window of interest using the “cut” step.
  9. ### Doing so isolates the content of interest, improves the accuracy of the results, and helps reduce computational cost to some extent.
  12. import os
  13. from brainiak.isc import isc
  14. from brainiak.io import load_boolean_mask, load_images
  15. from brainiak.image import mask_images
  16. from nibabel import save as nib_save, Nifti1Image
  17. import numpy as np
  18. from glob import glob
  19. import datetime
  21. # Record the current time
  22. current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
  23. print(f"Current system time：{current_time}")
  26. # Please replace the following path with the correct one
  27. data_dir =
  28. output_folder =
  30. # Ensure that the output folder exists
  31. if not os.path.exists(output_folder):
  32. os.makedirs(output_folder)
  34. # Find all function and mask files
  35. func_fns = glob(os.path.join(data_dir, r'Sub*.nii'))
  36. mask_fn = os.path.join(data_dir, r'MNI152NLin2009cAsym_desc-brain_mask.nii') ##You can choose from different masks; this is merely an example.
  38. # Loading brain mask
  39. mask, mask_affine = load_boolean_mask(mask_fn)
  41. # Load the feature image and apply the brain mask
  42. images = mask_images(load_images(func_fns), mask)
  44. # Initialise the ISC calculation
  45. iscs = isc(images, num_subjects=len(func_fns), num_permutations=10000, two_sided_test=False, random_state=0)
  47. # Create an ISC plot for each subject
  48. for subject_index, isc_values in enumerate(iscs):
  50. isc_img = Nifti1Image(isc_values, mask_affine)
  52. # Set the output filename and path
  53. output_file_name = f'subject_{subject_index + 1}_isc.nii.gz'
  54. output_file_path = os.path.join(output_folder, output_file_name)
  56. # Save the ISC diagram as an NIfTI file
  57. nib_save(isc_img, output_file_path)
  59. print(f"Subjects saved {subject_index + 1} to {output_file_path}")
  61. # Record completion time
  62. current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
  63. print(f"Current system time：{current_time}")
  64. print("Done.")

ISC.py, no license · at the source

Overview

Authors: Meiting Wei1,2,3,4, Yandan Li1, Haosen Ni1, Zhenglong Li1, Jiang Liu1, Guang-Heng Dong1
ORCID iDs: Guang-Heng Dong
  1. Center for Educational Cognitive Neuroscience, Faculty of Education, Yunnan Normal University,Kunming, P. R. China
  2. Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Central China Normal University,Wuhan, P. R. China
  3. Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University,Wuhan, P. R. China
  4. School of Psychology, Central China Normal University,Wuhan, P.R. China
Institutions: Yunnan Normal University (China); Central China Normal University (China)
Journal: Communications psychology, volume 4, issue 1, article 120
Dates: received 4 December 2025; accepted 18 May 2026; published online 27 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s44271-026-00476-x · PMID 42204284 · PMCID PMC13493826 · OpenAlex W7162565654
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: human (organism), cognitive (subfield)
Methods: Spectral & time-frequency, Statistics, Connectivity, Preprocessing, fMRI & imaging
Keywords: Human behaviour, Cultural and media studies
Topic: Action Observation and Synchronization (Social Psychology, Psychology), according to OpenAlex
Citations: not cited yet (Europe PMC); 90 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

Its files are read in the Code ↔ Paper reader above.

OSF b7pn5

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Languages: Python (2)
Size: 68 files, 2 scripts
Software Heritage: not checked
Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: NiBabel (2 files), BrainIAK (1 file), NumPy (1 file)
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
2 files
At the source: osf.io/b7pn5/overview?view_only=a3522cbb772442188bb300d028d2314f

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s44271-026-00476-x.

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:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 2 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • 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

No dataset and no data link were found in the paper.

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s44271-026-00476-x.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 2 keywords, 79 references.

Cite

This paper

Wei, M., Li, Y., Ni, H., Li, Z., Liu, J., & Dong, G.-H. (2026). Learning via short videos impairs memory accuracy and reduces brain synchrony. Communications psychology, 4(1), 120. https://doi.org/10.1038/s44271-026-00476-x

BibTeX

@article{wei2026learning,
author = {Wei, Meiting and Li, Yandan and Ni, Haosen and Li, Zhenglong and Liu, Jiang and Dong, Guang-Heng},
title = {{Learning via short videos impairs memory accuracy and reduces brain synchrony}},
journal = {Communications psychology},
year = {2026},
month = may,
volume = {4},
number = {1},
pages = {120},
publisher = {Nature Publishing Group},
issn = {2731-9121},
doi = {10.1038/s44271-026-00476-x},
url = {https://doi.org/10.1038/s44271-026-00476-x},
pmid = {42204284},
pmcid = {PMC13493826}
}

RIS

TY - JOUR
AU - Wei, Meiting
AU - Li, Yandan
AU - Ni, Haosen
AU - Li, Zhenglong
AU - Liu, Jiang
AU - Dong, Guang-Heng
TI - Learning via short videos impairs memory accuracy and reduces brain synchrony
T2 - Communications psychology
J2 - Commun Psychol
PY - 2026
DA - 2026/05/27
VL - 4
IS - 1
SP - 120
SN - 2731-9121
PB - Nature Publishing Group
DO - 10.1038/s44271-026-00476-x
UR - https://doi.org/10.1038/s44271-026-00476-x
LA - en
ER -

CSL-JSON

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"id": "10.1038/s44271-026-00476-x",
"type": "article-journal",
"title": "Learning via short videos impairs memory accuracy and reduces brain synchrony",
"container-title": "Communications psychology",
"author": [
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"family": "Wei",
"given": "Meiting"
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"family": "Li",
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{
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"given": "Haosen"
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{
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"given": "Zhenglong"
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"container-title-short": "Commun Psychol",
"volume": "4",
"issue": "1",
"page": "120",
"DOI": "10.1038/s44271-026-00476-x",
"PMID": "42204284",
"PMCID": "PMC13493826",
"ISSN": "2731-9121",
"publisher": "Nature Publishing Group",
"URL": "https://doi.org/10.1038/s44271-026-00476-x",
"language": "en",
"issued": {
"date-parts": [
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