Probabilistic cytoarchitectonic map of Area 6mp (SMA, mesial SFG) (v9.0)

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Ruan, J.;Bludau, S.;Palomero-Gallagher, N.;Caspers, S.;Mohlberg, H.;Eickhoff, S. B.;Seitz, R. J.;Amunts, K.

Description

This dataset contains the distinct probabilistic cytoarchitectonic map of Area 6mp (SMA, mesial SFG) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area 6mp (SMA, mesial SFG). The probability map of Area 6mp (SMA, mesial SFG) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area 6mp (SMA, mesial SFG): Ruan et al. (2019) [Data set, v9.1] DOI: 10.25493/2E1T-47F The most probable delineation of Area 6mp (SMA, mesial SFG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] DOI: 10.25493/8EGG-ZAR Amunts et al. (2020) [Data set, v2.2] DOI: 10.25493/TAKY-64D

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Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Human Brain Project Neuroinformatics Platform

License

Creative Commons Attribution Non Commercial Share Alike 4.0 International

Assigned Domain

Subfield

Economics and Econometrics

Field

Economics, Econometrics and Finance

Domain

Social Sciences

Confidence Score

41%

Source

Scholar Data Model

Keywords

Neuroscience

Normalization Factors

FT

43.27

CTw

1.00

MTw

1.00