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      A somato-cognitive action network alternates with effector regions in motor cortex

      research-article
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      Nature
      Nature Publishing Group UK
      Motor cortex, Basal ganglia, Cerebellum, Cognitive control

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          Abstract

          Motor cortex (M1) has been thought to form a continuous somatotopic homunculus extending down the precentral gyrus from foot to face representations 1, 2 , despite evidence for concentric functional zones 3 and maps of complex actions 4 . Here, using precision functional magnetic resonance imaging (fMRI) methods, we find that the classic homunculus is interrupted by regions with distinct connectivity, structure and function, alternating with effector-specific (foot, hand and mouth) areas. These inter-effector regions exhibit decreased cortical thickness and strong functional connectivity to each other, as well as to the cingulo-opercular network (CON), critical for action 5 and physiological control 6 , arousal 7 , errors 8 and pain 9 . This interdigitation of action control-linked and motor effector regions was verified in the three largest fMRI datasets. Macaque and pediatric (newborn, infant and child) precision fMRI suggested cross-species homologues and developmental precursors of the inter-effector system. A battery of motor and action fMRI tasks documented concentric effector somatotopies, separated by the CON-linked inter-effector regions. The inter-effectors lacked movement specificity and co-activated during action planning (coordination of hands and feet) and axial body movement (such as of the abdomen or eyebrows). These results, together with previous studies demonstrating stimulation-evoked complex actions 4 and connectivity to internal organs 10 such as the adrenal medulla, suggest that M1 is punctuated by a system for whole-body action planning, the somato-cognitive action network (SCAN). In M1, two parallel systems intertwine, forming an integrate–isolate pattern: effector-specific regions (foot, hand and mouth) for isolating fine motor control and the SCAN for integrating goals, physiology and body movement.

          Abstract

          Functional MRI studies across ages show that the classic homunculus of the motor cortex in humans is in fact discontinuous, alternating with action control-linked regions termed the somato-cognitive action network.

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          Most cited references96

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

          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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            The minimal preprocessing pipelines for the Human Connectome Project.

            The Human Connectome Project (HCP) faces the challenging task of bringing multiple magnetic resonance imaging (MRI) modalities together in a common automated preprocessing framework across a large cohort of subjects. The MRI data acquired by the HCP differ in many ways from data acquired on conventional 3 Tesla scanners and often require newly developed preprocessing methods. We describe the minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space. These pipelines are specially designed to capitalize on the high quality data offered by the HCP. The final standard space makes use of a recently introduced CIFTI file format and the associated grayordinate spatial coordinate system. This allows for combined cortical surface and subcortical volume analyses while reducing the storage and processing requirements for high spatial and temporal resolution data. Here, we provide the minimum image acquisition requirements for the HCP minimal preprocessing pipelines and additional advice for investigators interested in replicating the HCP's acquisition protocols or using these pipelines. Finally, we discuss some potential future improvements to the pipelines. Copyright © 2013 Elsevier Inc. All rights reserved.
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              Functional network organization of the human brain.

              Real-world complex systems may be mathematically modeled as graphs, revealing properties of the system. Here we study graphs of functional brain organization in healthy adults using resting state functional connectivity MRI. We propose two novel brain-wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships. These graphs contain many subgraphs in good agreement with known functional brain systems. Other subgraphs lack established functional identities; we suggest possible functional characteristics for these subgraphs. Further, graph measures of the areal network indicate that the default mode subgraph shares network properties with sensory and motor subgraphs: it is internally integrated but isolated from other subgraphs, much like a "processing" system. The modified voxelwise graph also reveals spatial motifs in the patterning of systems across the cortex. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                egordon@wustl.edu
                dosenbachn@wustl.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                19 April 2023
                19 April 2023
                2023
                : 617
                : 7960
                : 351-359
                Affiliations
                [1 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Mallinckrodt Institute of Radiology, , Washington University School of Medicine, ; St Louis, MO USA
                [2 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Neurology, , Washington University School of Medicine, ; St Louis, MO USA
                [3 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Biomedical Engineering, , Washington University in St. Louis, ; St Louis, MO USA
                [4 ]GRID grid.240324.3, ISNI 0000 0001 2109 4251, Department of Neurology, , New York University Langone Medical Center, ; New York, NY USA
                [5 ]GRID grid.5386.8, ISNI 000000041936877X, Department of Psychiatry, , Weill Cornell Medicine, ; New York, NY USA
                [6 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Psychiatry, , Washington University School of Medicine, ; St Louis, MO USA
                [7 ]GRID grid.17635.36, ISNI 0000000419368657, Department of Pediatrics, , University of Minnesota, ; Minneapolis, MN USA
                [8 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Department of Cognitive Science, , University of California San Diego, ; La Jolla, CA USA
                [9 ]GRID grid.428122.f, ISNI 0000 0004 7592 9033, Center for the Developing Brain, , Child Mind Institute, ; New York, NY USA
                [10 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Psychological and Brain Sciences, , Washington University in St. Louis, ; St Louis, MO USA
                [11 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Pediatrics, , Washington University School of Medicine, ; St Louis, MO USA
                [12 ]GRID grid.17635.36, ISNI 0000000419368657, Department of Neuroscience, , University of Minnesota, ; Minneapolis, MN USA
                [13 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Neurosurgery, , Washington University School of Medicine, ; St Louis, MO USA
                [14 ]GRID grid.255986.5, ISNI 0000 0004 0472 0419, Department of Psychology, , Florida State University, ; Tallahassee, FL USA
                [15 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Department of Neuroscience, , Washington University School of Medicine, ; St Louis, MO USA
                [16 ]GRID grid.17635.36, ISNI 0000000419368657, Masonic Institute for the Developing Brain, , University of Minnesota, ; Minneapolis, MN USA
                [17 ]GRID grid.17635.36, ISNI 0000000419368657, Institute of Child Development, , University of Minnesota, ; Minneapolis, MN 55455 United States
                [18 ]GRID grid.4367.6, ISNI 0000 0001 2355 7002, Program in Occupational Therapy, , Washington University in St. Louis, ; St Louis, MO USA
                Author information
                http://orcid.org/0000-0002-2276-5237
                http://orcid.org/0000-0001-5786-4705
                http://orcid.org/0000-0002-8787-0943
                http://orcid.org/0000-0002-9607-9491
                http://orcid.org/0000-0003-1672-8218
                http://orcid.org/0000-0002-8047-9458
                http://orcid.org/0000-0003-3030-6580
                http://orcid.org/0000-0003-1931-3587
                http://orcid.org/0000-0002-0065-3832
                http://orcid.org/0000-0003-1693-8506
                http://orcid.org/0000-0002-4716-5190
                http://orcid.org/0000-0001-6251-8436
                http://orcid.org/0000-0003-3345-6074
                http://orcid.org/0000-0003-3628-8029
                http://orcid.org/0000-0003-0032-9052
                http://orcid.org/0000-0003-2154-0826
                http://orcid.org/0000-0002-1639-5401
                http://orcid.org/0000-0002-0739-7771
                http://orcid.org/0000-0002-1312-8826
                http://orcid.org/0000-0001-8602-393X
                http://orcid.org/0000-0002-6876-7078
                Article
                5964
                10.1038/s41586-023-05964-2
                10172144
                37076628
                a70069ac-9571-47b0-9b16-a38b702bbb17
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 November 2022
                : 16 March 2023
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                © Springer Nature Limited 2023

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                motor cortex,basal ganglia,cerebellum,cognitive control
                Uncategorized
                motor cortex, basal ganglia, cerebellum, cognitive control

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