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Limb-selective regions in the lateral temporal lobe shrink from childhood to adulthood.

Code ↔ Paper

3 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 3 matches · 2 of them tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
  1. [1] § Methods › MRI acquisition parameters ↔ fileFilters/rsvistafiles/mrReadEfile.m, the whole file · a weak match · score 0.68 · flip angle, slice thickness, mrVista, TE, TR, alignment
  2. [2] § Methods › Processing of MRI data ↔ mrBOLD/Analysis/retinotopyModel/pRF/rmCalculatePredictions.m, lines 272–388 · score 0.57 · percentage signal change, convolving, HRF, model, fit, stimulus
  3. [3] § Methods › Processing of MRI data ↔ mrBOLD/Analysis/retinotopyModel/rfConvolveTC.m, the whole file · a weak match · score 0.53 · hemodynamic response function, convolving, HRF, resolution, SPM, model

Paper

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

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The authors' code

MATLAB · 148 lines · 4 KB · no license · 1 match

  1. function hdr = mrReadEfile(EfileName)
  2. % header = mrReadEfile(EfileName)
  3. %
  4. % Returns header info from Efile produced by G. Glover's auto-recon program.
  5. % Output is structure having field names corresponding to Glover's parameters.
  6. %
  7. % Ress 9/01
  8. % $Author: bob $
  9. % $Date: 2008/02/14 19:50:01 $
  10. % ras, 07/05: imported into mrVista 2.0.
  11. % ras, 10/08: reads alignment points for each slice.
  12. if notDefined('EfileName')
  13. EfileName = mrvSelectFile('r', {'E*.7' '*.*'}, 'Select an E file ...');
  14. end
  16. hdr = [];
  18. fid = fopen(EfileName);
  19. if fid == -1
  20. Alert(['Could not open file: ' EfileName])
  21. return
  22. end
  24. % initialize empty fields for alignment info
  25. % * ras 10/08: after some empirical testing, I believe gw_point1 represents
  26. % the upper left-hand corner of each slice in scanner space, gw_point2
  27. % represents the lower left-hand corner, and gw_point3 represents the
  28. % uppper right-hand corner. In the output header structure, I will store
  29. % each set of points as a 3xnSlices array. The rows are the L->R, P->A, and
  30. % I->S position of each point, respectively; and the columns are different
  31. % slices.
  32. hdr.gw_point1 = [];
  33. hdr.gw_point2 = [];
  34. hdr.gw_point3 = [];
  36. nLine = 0;
  37. while 1
  38. line = fgetl(fid);
  39. if ~ischar(line), break, end
  40. ieq = findstr(line, '=');
  41. lhs = deblank(line(1:ieq-1));
  42. rhs = line(ieq+2:end);
  43. switch lhs
  44. case 'rev'
  45. % Revision
  46. hdr.rev = rhs;
  47. case 'date of scan'
  48. % Date
  49. hdr.date = rhs;
  50. % Make this more reasonable
  51. hdr.date=[hdr.date(1:6),hdr.date(8:end)];
  52. case 'time of scan'
  53. % Time
  54. hdr.time = rhs;
  55. case 'patient name'
  56. % Name
  57. hdr.name = rhs;
  58. case 'psd'
  59. % PSD
  60. hdr.psd = rhs;
  61. case 'coil'
  62. % Coil
  63. hdr.coil = rhs;
  64. case 'examnum/seriesnum'
  65. vals = explode('/', rhs);
  66. hdr.examNum = str2num(vals{1});
  67. hdr.seriesNum = str2num(vals{2});
  68. case 'series description'
  69. hdr.seriesDescription = rhs;
  70. case 'patient id'
  71. hdr.patientID = rhs;
  72. case 'exam description'
  73. hdr.examDescription = rhs;
  74. case 'series description'
  75. hdr.seriesDescription = rhs;
  76. case 'num echoes'
  77. hdr.nechos = getNumberFromString(rhs);
  78. case 'slquant'
  79. % Number of slices
  80. hdr.slquant = getNumberFromString(rhs);
  81. case 'num time frames'
  82. % Number of frames
  83. hdr.nframes = getNumberFromString(rhs);
  84. case {'numextra discards' 'nextra discards'}
  85. % Number of discarded shots
  86. hdr.nextra = getNumberFromString(rhs);
  87. case 'nshot'
  88. % Number of interleaves
  89. hdr.nshots = getNumberFromString(rhs);
  90. case 'FOV'
  91. % Field of view (mm)
  92. hdr.FOV = getNumberFromString(rhs);
  93. case 'slice thick'
  94. % Slice thickness (mm)
  95. hdr.sliceThickness = getNumberFromString(rhs);
  96. case 'skip'
  97. % Slice spacing (skip)
  98. hdr.skip = getNumberFromString(rhs);
  99. case 'TR'
  100. % Echo time, TR (ms)
  101. hdr.TR = getNumberFromString(rhs);
  102. case 'TE'
  103. % Repetition time, TE (ms)
  104. hdr.TE = getNumberFromString(rhs);
  105. case 'time/frame'
  106. % Acquisition time (ms)
  107. hdr.tAcq = getNumberFromString(rhs);
  108. case 'equiv matrix size'
  109. % Equivalent matrix size
  110. hdr.equivMatSize = getNumberFromString(rhs);
  111. case 'imgsize'
  112. % Image size
  113. hdr.imgsize = getNumberFromString(rhs);
  114. case 'pixel size'
  115. % Pixel size (mm)
  116. hdr.pixel = getNumberFromString(rhs);
  117. case 'freq'
  118. % Frequency (MHz)
  119. hdr.freq = getNumberFromString(rhs)/1.e6;
  120. case 'flip angle'
  121. % Flip Angle (deg)
  122. hdr.flipAngle = str2num(rhs);
  123. case 'R1, R2, TG (mps)'
  124. % Gains [R1, R2, TG]
  125. hdr.R1 = getNumberFromString(rhs, 1);
  126. hdr.R2 = getNumberFromString(rhs, 2);
  127. hdr.TG = getNumberFromString(rhs, 3);
  128. case 'BigEndian'
  129. hdr.BigEndian = str2num(rhs);
  130. case 'start_loc'
  131. hdr.start_loc = [sscanf(rhs, '%f %f %f', 3)]';
  132. case 'gw_point1'
  133. hdr.gw_point1(:,end+1) = sscanf(rhs, '%f %f %f', 3);
  134. case 'gw_point2'
  135. hdr.gw_point2(:,end+1) = sscanf(rhs, '%f %f %f', 3);
  136. case 'gw_point3'
  137. hdr.gw_point3(:,end+1) = sscanf(rhs, '%f %f %f', 3);
  138. otherwise
  139. % try to record the remaining fields, if the descriptions are
  140. % valid field names
  141. try
  142. hdr.(lhs) = rhs;
  143. catch
  144. % oh well...
  145. % fprintf('Missed: %s, %s\n', lhs, rhs); % debug
  146. end
  147. end
  148. end

mrReadEfile.m at commit eeba98a, no license · at the source

Overview

Authors: Selina Cohnen1, Larissa Kahler1, Seong Dae Yun2, Kerstin Konrad3,4, Marisa Nordt1,3
ORCID iDs: Selina Cohnen, Marisa Nordt
  1. AG Developmental Cognitive Neuroscience, Institute of Medical Psychology and Medical Sociology, RWTH Aachen University,Pauwelsstraße 19, 52074 Aachen, Germany
  2. Forschungszentrum Jülich GmbH (INM-4),52428 Jülich, Germany
  3. Forschungszentrum Jülich GmbH (INM-10),52428 Jülich, Germany
  4. Institute for Medical Psychology and Medical Sociology, RWTH Aachen University,Pauwelsstraße 19, 52074 Aachen, Germany
Institutions: Institut für Medizinische Psychologie (Germany); Forschungszentrum Jülich (Germany); RWTH Aachen University (Germany)
Journal: Brain structure & function, volume 231, issue 7, article 95
Dates: received 23 March 2026; accepted 4 July 2026; published online 11 July 2026; in print 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1007/s00429-026-03152-2 · PMID 42435228 · PMCID PMC13356069 · OpenAlex W7168045904
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: fMRI (modality), human (organism), developmental (subfield)
Methods: Spectral & time-frequency, Statistics, fMRI & imaging
Keywords: fMRI, Childhood development, Temporal cortex, Visual streams, Limb-selective regions, Body-selective regions
MeSH: Extremities*, Temporal Lobe*, Adult, Brain Mapping, Child, Female, Functional Laterality, Gestures, Humans, Magnetic Resonance Imaging, Male, Pattern Recognition, Visual, Photic Stimulation, Young Adult (* major topic)
Topic: Action Observation and Synchronization (Social Psychology, Psychology), according to OpenAlex
Funding: RWTH Aachen University (3131)
Citations: cited by 1 paper (Europe PMC); 73 references in the paper

Abstract

Perceiving hand gestures and inferring others’ actions and emotions from movements of hands and limbs play an important role in every-day interactions, especially in young children. The perception of categories such as limbs, bodies, or faces is supported by category-selective regions in the temporal lobe. Some category-selective regions, such as those reacting selectively to body parts or limbs, exist both on the ventral and on the lateral side of the temporal lobe, and are part of the ventral and lateral stream, respectively. While it was recently shown that limb-selective regions in the ventral stream shrink from childhood to adulthood, the developmental trajectory of limb-selective regions in the lateral stream remains unknown. To close this gap in knowledge, we acquired functional magnetic resonance imaging (fMRI) data in 21 children aged 10–12 years and 20 adults while they watched images of 10 visual categories including limbs and whole bodies. We first replicate the decrease of limb-selectivity from childhood to adulthood in the ventral temporal lobe. Across several analyses, our results further demonstrate that limb-selective regions in the lateral temporal lobe shrink as well, particularly in the left hemisphere. Underlining the specificity of our finding, we show that lateral body-selective regions show no significant development from childhood to adulthood. These findings advance our understanding of the developmental trajectories of limb- and body-selective regions and of the ventral and lateral visual streams more broadly.

Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s00429-026-03152-2.

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 3 matches between paragraphs and lines of code.

vistalab/vistasoft

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: eeba98aaf1208c89d6e19c137e6a68cba5c3bed6, 22 September 2026
Languages: MATLAB (4626), C (92), C/C++ (60), C++ (38), Shell (16), JavaScript (1), Python (1)
Size: 5,937 files, 4,834 scripts
Software Heritage: archived
Found in: the text, “Processing of MRI data”
Holds: README, tests, documentation
Not found: license file, CITATION.cff, environment file, continuous integration
Tools: SPM (47 files), FreeSurfer (46 files), Image Processing Toolbox (28 files), Statistics and Machine Learning Toolbox (22 files), Tools for NIfTI and ANALYZE image (MATLAB) (15 files), FSL (6 files), Parallel Computing Toolbox (5 files), Optimization Toolbox (2 files), Signal Processing Toolbox (2 files)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
2,000 files
At the source: github.com/vistalab/vistasoft

selinacohnen/Limb-selective-regions-in-the-LTL

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 63714bc37343c94aeb3aabfe2ed8e23aea889205, 12 July 2026
Languages: MATLAB (2)
Size: 9 files, 2 scripts
Software Heritage: not archived
Found in: “Data availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Statistics and Machine Learning Toolbox (2 files)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
3 files
At the source: github.com/selinacohnen/Limb-selective-regions-in-the-LTL

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;
  • 2,001 scripts, each with its path and the digest of its content;
  • 3 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

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

Data availability

Aggregated data and code to generate the main figures will be made publicly available upon publication at https://github.com/selinacohnen/Limb-selective-regions-in-the-LTL. Raw (f)MRI data cannot be made publicly available because sharing is restricted under Institutional Review Board (IRB) regulations.

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 2, 28 September 2026

  • Publisher: n/a → Springer Science+Business Media

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 6 keywords, 14 MeSH terms, 1 funder, 71 references.

Cite

This paper

Cohnen, S., Kahler, L., Yun, S. D., Konrad, K., & Nordt, M. (2026). Limb-selective regions in the lateral temporal lobe shrink from childhood to adulthood. Brain structure & function, 231(7), 95. https://doi.org/10.1007/s00429-026-03152-2

BibTeX

@article{cohnen2026limb,
author = {Cohnen, Selina and Kahler, Larissa and Yun, Seong Dae and Konrad, Kerstin and Nordt, Marisa},
title = {{Limb-selective regions in the lateral temporal lobe shrink from childhood to adulthood}},
journal = {Brain structure \& function},
year = {2026},
month = jul,
volume = {231},
number = {7},
pages = {95},
publisher = {Springer Science+Business Media},
issn = {1863-2653},
doi = {10.1007/s00429-026-03152-2},
url = {https://doi.org/10.1007/s00429-026-03152-2},
pmid = {42435228},
pmcid = {PMC13356069}
}

RIS

TY - JOUR
AU - Cohnen, Selina
AU - Kahler, Larissa
AU - Yun, Seong Dae
AU - Konrad, Kerstin
AU - Nordt, Marisa
TI - Limb-selective regions in the lateral temporal lobe shrink from childhood to adulthood
T2 - Brain structure & function
J2 - Brain Struct Funct
PY - 2026
DA - 2026/07/11
VL - 231
IS - 7
SP - 95
SN - 1863-2653
PB - Springer Science+Business Media
DO - 10.1007/s00429-026-03152-2
UR - https://doi.org/10.1007/s00429-026-03152-2
LA - en
ER -

CSL-JSON

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"id": "10.1007/s00429-026-03152-2",
"type": "article-journal",
"title": "Limb-selective regions in the lateral temporal lobe shrink from childhood to adulthood",
"container-title": "Brain structure & function",
"author": [
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"family": "Cohnen",
"given": "Selina"
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{
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"given": "Seong Dae"
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"family": "Konrad",
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"family": "Nordt",
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"container-title-short": "Brain Struct Funct",
"volume": "231",
"issue": "7",
"page": "95",
"DOI": "10.1007/s00429-026-03152-2",
"PMID": "42435228",
"PMCID": "PMC13356069",
"ISSN": "1863-2653",
"publisher": "Springer Science+Business Media",
"URL": "https://doi.org/10.1007/s00429-026-03152-2",
"language": "en",
"issued": {
"date-parts": [
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11
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]
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}

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