The organization of the human cerebral cortex estimated by intrinsic functional connectivity

Организация коры головного мозга человека, оцененная по внутренней функциональной связности
Danial Lashkari, Marisa O. Hollinshead, Bruce Fischl, Joshua L. Roffman, Jordan W. Smoller, Randy L. Buckner, Fenna M. Krienen, Jorge Sepulcre, Mert R. Sabuncu, Hesheng Liu, B.T. Thomas Yeo, Lilla Zöllei, Jon̈athan R. Polimeni
2011-06-09

functional brain networksintrinsic functional connectivityresting-state functional connectivity MRIsensory-motor pathwaysurface-based alignment
Information processing in the cerebral cortex involves interactions among distributed areas. Anatomical connectivity suggests that certain areas form local hierarchical relations such as within the visual system. Other connectivity patterns, particularly among association areas, suggest the presence of large-scale circuits without clear hierarchical relations. In this study the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI. Data from 1,000 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 results revealed local networks confined to sensory and motor cortices as well as distributed networks of association regions. 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. Focused analyses were performed to better understand properties of network connectivity. A canonical sensory-motor pathway involving primary visual area, putative middle temporal area complex (MT+), lateral intraparietal area, and frontal eye field was analyzed to explore how interactions might arise within and between networks. Results showed that adjacent regions of the MT+ complex demonstrate differential connectivity consistent with a hierarchical pathway that spans networks. The functional connectivity of parietal and prefrontal association cortices was next explored. Distinct connectivity profiles of neighboring regions suggest they participate in distributed networks that, while showing evidence for interactions, are embedded within largely parallel, interdigitated circuits. We conclude by discussing the organization of these large-scale cerebral networks in relation to monkey anatomy and their potential evolutionary expansion in humans to support cognition.
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Adjacently located subregions of the MT+ complex exhibit differential connectivity consistent with a hierarchical pathway spanning networks (visual to parietal to frontal eye field).
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In association cortex, connectivity patterns often show abrupt transitions at network boundaries, indicating discrete network organization.
3
Neighboring parietal and prefrontal regions have distinct connectivity profiles, participating in distributed but largely parallel, interdigitated circuits.
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Resting-state functional connectivity MRI across 1,000 subjects identifies reproducible cortical networks using surface-based alignment and clustering.
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The identified large-scale cerebral networks relate to known monkey anatomy and may reflect evolutionary expansion in humans supporting cognition.
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There are local networks confined to sensory and motor cortices and distributed networks composed of association regions.
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Within sensory and motor cortices, functional connectivity follows topographic representations across adjacent areas.

Human cerebral cortex functional networks estimated via resting-state functional connectivity MRI

Organization and topography of cortical networks: local sensory/motor vs. distributed association networks, their boundaries, hierarchical pathways (e.g., MT+ to parietal/frontal), differential connectivity profiles and large-scale network interactions

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2011-06-09
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Danial Lashkari
Marisa O. Hollinshead
Bruce Fischl
Joshua L. Roffman
Jordan W. Smoller
Randy L. Buckner
Fenna M. Krienen
Jorge Sepulcre
Mert R. Sabuncu
Hesheng Liu
B.T. Thomas Yeo
Lilla Zöllei
Jon̈athan R. Polimeni
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