File:Precentral gyrus parcellation.jpg
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Precentral_gyrus_parcellation.jpg (454 × 452 pixels, file size: 133 KB, MIME type: image/jpeg)
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[edit]DescriptionPrecentral gyrus parcellation.jpg |
English: Precentral gyrus (PCG) parcellation. This five-region PCG parcellation was used to estimate functional motor connectivity signatures for each subject. The parcellation was derived from test-retest resting state data collected from an independent sample of 20 neurotypical adults, (Nebel et al., 2014) and the parcels were initially eroded to reduce the influence of boundary voxels on between-parcel connectivity estimates. These functional subdivisions are named based on their location within the PCG: (1) Dorsomedial (DM), (2) Dorsolateral (DL), (3) Anterior Lateral (AL), (4) Posterior Lateral (PL), and (5) Ventrolateral (VL). (A) Anterior (front) view, (B) Left side view, (C) Superior (birds-eye) view. |
Date | Published online: 2014-05-14 |
Source | Nebel MB, Eloyan A, Barber AD and Mostofsky SH (2014) Precentral gyrus functional connectivity signatures of autism. Front. Syst. Neurosci. 8:80. doi: 10.3389/fnsys.2014.00080 http://journal.frontiersin.org/article/10.3389/fnsys.2014.00080/full |
Author | Nebel MB, Eloyan A, Barber AD and Mostofsky SH |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 21:07, 12 September 2015 | 454 × 452 (133 KB) | Was a bee (talk | contribs) | {{Information |Description={{en|1=Precentral gyrus (PCG) parcellation. This five-region PCG parcellation was used to estimate functional motor connectivity signatures for each subject. The parcellation was derived from test-ret... |
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Width | 1,181 px |
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Height | 1,163 px |
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Compression scheme | LZW |
Pixel composition | RGB |
Orientation | Normal |
Number of components | 3 |
Horizontal resolution | 72 dpi |
Vertical resolution | 72 dpi |
Data arrangement | chunky format |
Software used | Adobe Photoshop CS5 Windows |
File change date and time | 13:30, 10 May 2014 |
Color space | Uncalibrated |
Date and time of digitizing | 11:02, 15 November 2013 |
Date metadata was last modified | 19:00, 10 May 2014 |
Unique ID of original document | xmp.did:B5ECE88D284EE311BB298C636A64D278 |
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