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ZENODO
Dataset . 2022
License: CC BY
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
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Data sources: Datacite
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Great Ape Cerebral Aging - Expansion Relationship

Authors: Vickery, Sam; Patil, Kaustubh R.; Dahnke, Robert; Hopkins, William D.; Sherwood, Chet C.; Caspers, Svenja; Eickhoff, Simon B.; +1 Authors

Great Ape Cerebral Aging - Expansion Relationship

Abstract

This contains data associated with the manuscript "The Uniqueness of Human Vulnerability to Brain Aging in Great Ape Evolution" https://www.biorxiv.org/content/10.1101/2022.09.27.509685v1 The chimp.zip and IXI.zip contain data for the chimpanzee and human samples respectively. This includes the input matrix (subject x gray matter voxels), OPNMF bootstrap outputs, and OPNMF parcellaitons (2-40). The outputs.zip contains outputs from the analyses conducted for the manuscript using the code from https://github.com/viko18/GreatApe_Aging. The expansion_map.zip contains the modulated jacobians and templates following cross-species registration for the chimpanzee, baboon, and macaque templates. y_JunaChimp_brain.nii.gz is the deformtion field map from chimpanzee template space to human and iy_*.nii.gz is the inverse, so human to chimpanzee. Davi130_MNI_3mm_cortex.nii.gz is the avi130 chimpanzee parcellation in human MNI sapce.

Keywords

Aging, Chimpanzee, Great Apes, Evolution, MRI

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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