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Part 1: Document Description
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Citation |
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Title: |
Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset] |
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Identification Number: |
doi:10.11588/data/04HPWW |
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Distributor: |
heiDATA |
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Date of Distribution: |
2021-02-11 |
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Version: |
1 |
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Bibliographic Citation: |
Asan, Livia; Falfán-Melgoza, Claudia; Beretta, Carlo Antonio; Sack, Markus; Zheng, Lei; Weber-Fahr, Wolfgang; Kuner, Thomas; Knabbe, Johannes, 2021, "Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset]", https://doi.org/10.11588/data/04HPWW, heiDATA, V1, UNF:6:t1jhJE4myjockvvIVpnP7A== [fileUNF] |
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Citation |
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Title: |
Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy [Dataset] |
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Identification Number: |
doi:10.11588/data/04HPWW |
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Authoring Entity: |
Asan, Livia (Institute for Anatomy and Cell Biology, Heidelberg University, Germany) |
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Falfán-Melgoza, Claudia (Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg University, Germany) |
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Beretta, Carlo Antonio (Institute for Anatomy and Cell Biology, Heidelberg University, Germany) |
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Sack, Markus (Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg University, Germany) |
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Zheng, Lei (Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg University, Germany) |
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Weber-Fahr, Wolfgang (Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg University, Germany) |
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Kuner, Thomas (Institute for Anatomy and Cell Biology, Heidelberg University, Germany) |
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Knabbe, Johannes (Institute for Anatomy and Cell Biology, Heidelberg University, Germany) |
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Producer: |
Prof. Dr. Thomas Kuner |
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Software used in Production: |
MATLAB, Fiji, ilastik |
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Grant Number: |
SFB 1158 |
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Distributor: |
heiDATA |
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Access Authority: |
Asan, Livia |
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Date of Deposit: |
2019 |
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Holdings Information: |
https://doi.org/10.11588/data/04HPWW |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, Microscopy, VBM, Voxel-based Morphometry, Correlative Neuroimaging |
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Topic Classification: |
Neuroscience |
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Abstract: |
This dataset accompanies the article of the same title in the journal Scientific Reports. It includes a) spreadsheets of data values for each plot in the main figures, b) all raw image data from Two-Photon in vivo microscopy (2pii) c) Custom code d) representative subsets of segmentation label images, coordinates of reidentified nuclei and corresponding magnetic resonance images from all timepoints of one animal (ID S8). |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Asan, L., Falfán-Melgoza, C., Beretta, C.A. et al. Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy. Sci Rep 11, 4234 (2021). |
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Identification Number: |
https://doi.org/10.1038/s41598-021-83491-8 |
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Bibliographic Citation: |
Asan, L., Falfán-Melgoza, C., Beretta, C.A. et al. Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy. Sci Rep 11, 4234 (2021). |
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File Description--f4156 |
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File: Figure 3 - source data 3.tab |
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Notes: |
UNF:6:vrpiPQIngNC9iv7muzFjAw== |
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File Description--f4154 |
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File: Figure 6 - source data 1.tab |
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Notes: |
UNF:6:NDIFW9dB88WxrxAxbaKKZA== |
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File Description--f4153 |
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File: Figure 7 - source data 1.tab |
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Notes: |
UNF:6:/MHuX5ND39KkjVuL/IG90A== |
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File Description--f4152 |
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File: Figure 8 - source data 1.tab |
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Notes: |
UNF:6:fMBoiE0tNmvnw2cdI4oUMQ== |
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File Description--f4155 |
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File: Figure 8 - source data 2.tab |
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Notes: |
UNF:6:E2tbDYgEEg6l9aGGC2qO4w== |
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List of Variables: |
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Variables |
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f4156 Location: |
Variable Format: character Notes: UNF:6:vrpiPQIngNC9iv7muzFjAw== |
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f4154 Location: |
Summary Statistics: Mean 4.777777777777777; Valid 54.0; StDev 2.3685571331681574; Max. 8.0; Min. 1.0 Variable Format: numeric Notes: UNF:6:3ewIWvFOZWArKJpV64rN6w== |
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f4154 Location: |
Summary Statistics: Min. 1.0; StDev 0.8241633836921342; Valid 54.0; Max. 3.0; Mean 2.0 Variable Format: numeric Notes: UNF:6:G5iYb5yDNVKl6mugz97r9g== |
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f4154 Location: |
Summary Statistics: StDev 1.6416359381602001; Valid 54.0; Mean 3.7222222222222223; Max. 6.0; Min. 1.0 Variable Format: numeric Notes: UNF:6:WD/RR0lUONWC/Il8R/+ejw== |
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f4154 Location: |
Summary Statistics: Min. 3.0568219690624E7; Valid 54.0; Max. 1.20650000762651E8; StDev 2.616817956764479E7; Mean 7.864423260119674E7 Variable Format: numeric Notes: UNF:6:XlgR6emcgEMuOjFuup1tyg== |
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f4153 Location: |
Summary Statistics: Max. 10.0; Mean 5.157142857142862; Min. 1.0; Valid 140.0; StDev 2.598481650102582 Variable Format: numeric Notes: UNF:6:D+mj6fIgR8Ylups/2ae/1Q== |
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f4153 Location: |
Summary Statistics: StDev 0.8070539473901018; Valid 140.0; Min. 1.0; Max. 3.0; Mean 1.8214285714285716 Variable Format: numeric Notes: UNF:6:fNu+Si4cDuD/LBI4ZvtzKQ== |
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f4153 Location: |
Summary Statistics: Valid 140.0; Min. 1.0; StDev 1.6881638620338608; Mean 3.5785714285714283; Max. 6.0 Variable Format: numeric Notes: UNF:6:HTm/du0Rf0EMKYeN5fNmgA== |
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f4153 Location: |
Summary Statistics: Max. 33868.0; Min. 8765.0; Valid 140.0; StDev 4773.522989931645; Mean 19310.664285714287; Variable Format: numeric Notes: UNF:6:6xZS5IksGQO3+MtZb5Strg== |
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f4152 Location: |
Summary Statistics: Max. 9.0; StDev 2.336285052835221; Mean 4.900000000000001; Valid 80.0; Min. 1.0; Variable Format: numeric Notes: UNF:6:QLcIKm3JWshQA/FSRbb10A== |
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f4152 Location: |
Summary Statistics: Max. 3.0; StDev 0.49920823386588253; Valid 80.0; Min. 2.0; Mean 2.4375 Variable Format: numeric Notes: UNF:6:wfoErqnoMjYb+hWkJljSSg== |
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f4152 Location: |
Summary Statistics: Max. 6.0; StDev 1.67062294149764; Min. 1.0; Valid 80.0; Mean 3.6375; Variable Format: numeric Notes: UNF:6:CMBgGKomaKp6P6q8Yr9Vfg== |
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f4152 Location: |
Summary Statistics: StDev 14.500492139729316; Max. 144.829895422088; Mean 98.29771973336548; Valid 80.0; Min. 66.9483027760061 Variable Format: numeric Notes: UNF:6:FC8GxR8EAsMWIMLifqDZNA== |
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f4152 Location: |
Summary Statistics: Min. 97.5393483; StDev 0.5050330913222685; Max. 100.254377; Mean 99.78682065189874; Valid 79.0; Variable Format: numeric Notes: UNF:6:VTiYojTYgXnK1Gug6ZdOYQ== |
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LinearMixedModelstoexplainJDinMRImasks;AnimalIDasrandomeffect |
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f4155 Location: |
Variable Format: character Notes: UNF:6:ygIcq2ECMyosLo5zltxfAg== |
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f4155 Location: |
Variable Format: character Notes: UNF:6:8daGNHl1z6UO7X8GxsjVzA== |
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f4155 Location: |
Variable Format: character Notes: UNF:6:jR6cr4ZbI2VTInyK2nO4JA== |
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f4155 Location: |
Variable Format: character Notes: UNF:6:ebD+/WljCKhmwJm7+eyFFQ== |
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Label: |
CustomCode.zip |
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Notes: |
application/zip |
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Label: |
RawImage_2Pii_S8_12weeks_position2.tif |
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Text: | |
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Notes: |
image/tiff |
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Label: |
RawImage_2Pii_S8_1week_position2.tif |
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Text: | |
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Notes: |
image/tiff |
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Label: |
RawImage_2Pii_S8_baseline_position2.tif |
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Text: | |
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Notes: |
image/tiff |
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Label: |
ReidentifiedNuclei_CenterCoordinates_S8_AllTimepoints.zip |
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Notes: |
application/zip |
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Label: |
SegmentationLabels_S8_12weeks_position2.tif |
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Notes: |
image/tiff |
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Label: |
SegmentationLabels_S8_1week_position2.tif |
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Text: | |
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Notes: |
image/tiff |
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Label: |
SegmentationLabels_S8_baseline_position2.tif |
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Text: | |
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Notes: |
image/tiff |
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Label: |
T2RARE_MRI_S8_12weeks.dcm |
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Notes: |
application/dicom |
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Label: |
T2RARE_MRI_S8_1week.dcm |
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Notes: |
application/dicom |
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Label: |
T2RARE_MRI_S8_baseline.dcm |
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Notes: |
application/dicom |
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Label: |
12weeks_2Pii_part1.zip |
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Notes: |
application/zip |
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12weeks_2Pii_part10.zip |
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application/zip |
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12weeks_2Pii_part3.zip |
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application/zip |
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12weeks_2Pii_part4.zip |
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application/zip |
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12weeks_2Pii_part5.zip |
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application/zip |
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12weeks_2Pii_part6.zip |
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application/zip |
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12weeks_2Pii_part7.zip |
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application/zip |
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12weeks_2Pii_part8.zip |
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application/zip |
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12weeks_2Pii_part9.zip |
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application/zip |
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1week_2Pii_part1.zip |
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Notes: |
application/zip |
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1week_2Pii_part10.zip |
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application/zip |
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1week_2Pii_part2.zip |
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application/zip |
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1week_2Pii_part3.zip |
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application/zip |
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1week_2Pii_part4.zip |
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application/zip |
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1week_2Pii_part5.zip |
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application/zip |
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1week_2Pii_part6.zip |
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application/zip |
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1week_2Pii_part7.zip |
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application/zip |
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1week_2Pii_part8.zip |
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application/zip |
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1week_2Pii_part9.zip |
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application/zip |
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Baseline_2Pii_part1.zip |
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application/zip |
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Baseline_2Pii_part10.zip |
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application/zip |
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Baseline_2Pii_part2.zip |
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application/zip |
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Baseline_2Pii_part3.zip |
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application/zip |
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Baseline_2Pii_part4.zip |
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application/zip |
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Baseline_2Pii_part5.zip |
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application/zip |
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Baseline_2Pii_part6.zip |
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application/zip |
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Baseline_2Pii_part7.zip |
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application/zip |
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Baseline_2Pii_part8.zip |
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Notes: |
application/zip |
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Baseline_2Pii_part9.zip |
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Notes: |
application/zip |
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Baseline_2Pii_partS1.zip |
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Notes: |
application/zip |