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| ||'''7 Network Estimate''' ||'''7 Network Confidence'''||'''17 Network Estimate''' ||'''17 Network Confidence'''|| || {{attachment:Yeo2011_JNeurophysiol_7networks_lateral.png}} || {{attachment:Yeo2011_JNeurophysiol_7networks_lateral_confidence.png}}|| {{attachment:Yeo2011_JNeurophysiol_17networks_lateral.png}} || {{attachment:Yeo2011_JNeurophysiol_17networks_lateral_confidence.png}}|| || {{attachment:Yeo2011_JNeurophysiol_7networks_medial.png}} || {{attachment:Yeo2011_JNeurophysiol_7networks_medial_confidence.png}}|| {{attachment:Yeo2011_JNeurophysiol_17networks_medial.png}} || {{attachment:Yeo2011_JNeurophysiol_17networks_medial_confidence.png}}|| |
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| ||'''Desikan-Killiany Atlas (aparc.annot)''' ||'''Destrieux Atlas (aparc.a2009s.annot)'''|| || {{attachment:Yeo2011_JNeurophysiol_7networks_confidence.png}} || {{attachment:annot-destrieux.jpg}}|| || {{attachment:annot-desikan-m.jpg}} || {{attachment:annot-destrieux-m.jpg}}|| |
== Background == Resting state fMRI data from 1000 subjects were registered using surface-based alignment. A clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex. The parcellations of the cerebral cortex into 7 and 17 networks in FreeSurfer surface space are illustrated above and available for download. The results revealed local networks confined to sensory and motor cortices as well as distributed networks of association regions that form interdigitated circuits. Within the sensory and motor cortices, functional connectivity followed topographic representations across adjacent areas. In association cortex, the connectivity patterns often showed abrupt transitions between network boundaries, forming largely parallel circuits. |
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| [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/Yeo_JNeurophysiol11_FreeSurfer.zip|Resting State Cortical Parcellation in fsaverage, fsaverage6 and fsaverage5 space]] | [[ftp://surfer.nmr.mgh.harvard.edu/pub/data/Yeo_JNeurophysiol11_FreeSurfer.zip|Resting State Cortical Parcellation in fsaverage, fsaverage6 and fsaverage5 Space]]. These subjects are also currently in the developmental version of FreeSurfer which can be assessed from the Martinos center network (/autofs/cluster/freesurfer/centos4.0_x86_64/dev/subjects/). These subjects will be officially included in some future FreeSurfer release. |
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| == Information about Downloads == There are three folders in "`Yeo_JNeurophysiol11_FreeSurfer.zip`", corresponding to the "fsaverage", "fsaverage5" and "fsaverage6" surface space. "fsaverage" contains the high resolution version of the parcellation, while "fsaverage6" and "fsaverage5" contain lower resolution versions of the parcellation. The parcellations were computed in "fsaverage5" space and upsampled to "fsaverage6" and "fsaverage". The structure of each folder follows that of a preprocessed freesurfer subject. In particular, "fsaverage/label/", "fsaverage5/label/", "fsaverage6/label/" contain all the parcellation and confidence files. For example, "fsaverage/label/rh.Yeo2011_7Networks_N1000.annot" is the 7-network parcellation for 1000 subjects on the right hemisphere and "fsaverage/label/lh.Yeo2011_17NetworksConfidence_N1000.mgz" is the confidence map for the 17-network parcellation for 1000 subjects on the left hemisphere. |
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| Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zollei L., Polimeni JR, Fischl B, Liu H, Buckner RL (2011) The organization of the human cerebral cortex estimated by functional connectivity. J. Neurophysiol. In Press. | [[http://www.ncbi.nlm.nih.gov.ezp-prod1.hul.harvard.edu/pubmed/21653723|Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zollei L., Polimeni JR, Fischl B, Liu H, Buckner RL (2011) The organization of the human cerebral cortex estimated by functional connectivity. J. Neurophysiol. In Press.]] |
Resting State Cortical Parcellation
7 Network Estimate |
7 Network Confidence |
17 Network Estimate |
17 Network Confidence |
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Background
Resting state fMRI data from 1000 subjects were registered using surface-based alignment. A clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex. The parcellations of the cerebral cortex into 7 and 17 networks in FreeSurfer surface space are illustrated above and available for download.
The results revealed local networks confined to sensory and motor cortices as well as distributed networks of association regions that form interdigitated circuits. Within the sensory and motor cortices, functional connectivity followed topographic representations across adjacent areas. In association cortex, the connectivity patterns often showed abrupt transitions between network boundaries, forming largely parallel circuits.
Downloads
Resting State Cortical Parcellation in fsaverage, fsaverage6 and fsaverage5 Space. These subjects are also currently in the developmental version of FreeSurfer which can be assessed from the Martinos center network (/autofs/cluster/freesurfer/centos4.0_x86_64/dev/subjects/). These subjects will be officially included in some future FreeSurfer release.
Movies of Seed-based Functional Connectivity
Information about Downloads
There are three folders in "Yeo_JNeurophysiol11_FreeSurfer.zip", corresponding to the "fsaverage", "fsaverage5" and "fsaverage6" surface space. "fsaverage" contains the high resolution version of the parcellation, while "fsaverage6" and "fsaverage5" contain lower resolution versions of the parcellation. The parcellations were computed in "fsaverage5" space and upsampled to "fsaverage6" and "fsaverage".
The structure of each folder follows that of a preprocessed freesurfer subject. In particular, "fsaverage/label/", "fsaverage5/label/", "fsaverage6/label/" contain all the parcellation and confidence files. For example, "fsaverage/label/rh.Yeo2011_7Networks_N1000.annot" is the 7-network parcellation for 1000 subjects on the right hemisphere and "fsaverage/label/lh.Yeo2011_17NetworksConfidence_N1000.mgz" is the confidence map for the 17-network parcellation for 1000 subjects on the left hemisphere.