For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
36
views
24
references
 Top references
cited by
41
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      511
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Enhanced Functional Connectivity between Putamen and Supplementary Motor Area in Parkinson’s Disease Patients

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Parkinson’s disease (PD) is a surprisingly heterogeneous disorder with symptoms including resting tremor, bradykinesia and rigidity. PD has been associated with abnormal task related brain activation in sensory and motor regions as well as reward related network. Although corticostriatal skeletomotor circuit dysfunction is implicated in the neurobiology of Parkinson’s disease, the functional connectivity within this circuit at the resting state is still unclear for PD. Here we utilized resting state functional magnetic resonance imaging to measure the functional connectivity of striatum and motor cortex in 19 patients with PD and 20 healthy controls. We found that the putamen, but not the caudate, exhibited enhanced connectivity with supplementary motor area (SMA), using either the putamen or the SMA as the “seed region”. Enhanced SMA-amygdala functional connectivity was also found in the PD group, compared with normal controls. Our findings highlight the key role of hyper-connected putamen-SMC circuit in the pathophysiology of PD.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found

          Functional connectivity of human striatum: a resting state FMRI study.

          A. Di Martino, A Scheres, D S Margulies … (2008)
          Classically regarded as motor structures, the basal ganglia subserve a wide range of functions, including motor, cognitive, motivational, and emotional processes. Consistent with this broad-reaching involvement in brain function, basal ganglia dysfunction has been implicated in numerous neurological and psychiatric disorders. Despite recent advances in human neuroimaging, models of basal ganglia circuitry continue to rely primarily upon inference from animal studies. Here, we provide a comprehensive functional connectivity analysis of basal ganglia circuitry in humans through a functional magnetic resonance imaging examination during rest. Voxelwise regression analyses substantiated the hypothesized motor, cognitive, and affective divisions among striatal subregions, and provided in vivo evidence of a functional organization consistent with parallel and integrative loop models described in animals. Our findings also revealed subtler distinctions within striatal subregions not previously appreciated by task-based imaging approaches. For instance, the inferior ventral striatum is functionally connected with medial portions of orbitofrontal cortex, whereas a more superior ventral striatal seed is associated with medial and lateral portions. The ability to map multiple distinct striatal circuits in a single study in humans, as opposed to relying on meta-analyses of multiple studies, is a principal strength of resting state functional magnetic resonance imaging. This approach holds promise for studying basal ganglia dysfunction in clinical disorders.
          Article 0 comments Cited 326 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Imaging the premotor areas.

            Nathalie Picard, Peter L Strick (2001)
            Recent imaging studies of motor function provide new insights into the organization of the premotor areas of the frontal lobe. The pre-supplementary motor area and the rostral portion of the dorsal premotor cortex, the 'pre-PMd', are, in many respects, more like prefrontal areas than motor areas. Recent data also suggest the existence of separate functional divisions in the rostral cingulate zone.
            Article 0 comments Cited 207 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation.

              Simon B. Eickhoff, Danilo Bzdok, Angela R Laird … (2011)
              The organization of the cerebral cortex into distinct modules may be described along several dimensions, most importantly, structure, connectivity and function. Identification of cortical modules by differences in whole-brain connectivity profiles derived from diffusion tensor imaging or resting state correlations has already been shown. These approaches, however, carry no task-related information. Hence, inference on the functional relevance of the ensuing parcellation remains tentative. Here, we demonstrate, that Meta-Analytic Connectivity Modeling (MACM) allows the delineation of cortical modules based on their whole-brain co-activation pattern across databased neuroimaging results. Using a model free approach, two regions of the medial pre-motor cortex, SMA and pre-SMA were differentiated solely based on their functional connectivity. Assessing the behavioral domain and paradigm class meta-data of the experiments associated with the clusters derived from the co-activation based parcellation moreover allows the identification of their functional characteristics. The ensuing hypotheses about functional differentiation and distinct functional connectivity between pre-SMA and SMA were then explicitly tested and confirmed in independent datasets using functional and resting state fMRI. Co-activation based parcellation thus provides a new perspective for identifying modules of functional connectivity and linking them to functional properties, hereby generating new and subsequently testable hypotheses about the organization of cortical modules. Copyright © 2011 Elsevier Inc. All rights reserved.
              Article 0 comments Cited 154 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Fei Wang: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, USA )
                ISSN (Electronic): 1932-6203
                Publication date Collection: 2013
                Publication date (Electronic): 26 March 2013
                Volume: 8
                Issue: 3
                Electronic Location Identifier: e59717
                Affiliations
                [1 ]School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
                [2 ]Department of Image, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
                Yale University School of Medicine, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RY BL. Performed the experiments: BL JC XL. Analyzed the data: RY. Wrote the paper: RY LW.

                Article
                Publisher ID: PONE-D-12-30980
                DOI: 10.1371/journal.pone.0059717
                PMC ID: 3608571
                PubMed ID: 23555758
                SO-VID: 084c65fd-ba82-4400-9957-9d8c1701d5c0
                Copyright statement: Copyright @ 2013
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 8 October 2012
                Date accepted : 17 February 2013
                Page count
                Pages: 8
                Funding
                The authors have no support or funding to report.
                Categories
                Subject: Research Article
                Subject: Biology
                Subject: Anatomy and Physiology
                Subject: Neurological System
                Subject: Neuroanatomy
                Subject: Neuroscience
                Subject: Neuroimaging
                Subject: Fmri
                Subject: Neuroanatomy
                Subject: Medicine
                Subject: Anatomy and Physiology
                Subject: Neurological System
                Subject: Neuroanatomy
                Subject: Neurology
                Subject: Parkinson Disease
                Subject: Social and Behavioral Sciences
                Subject: Psychology
                Subject: Neuropsychology

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content511

                See all similar

                Cited by39

                See all cited by

                Most referenced authors413

                See all reference authors