The Anatomical Distance of Functional Connections Predicts Brain Network Topology in Health and Schizophrenia
The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional connectivity, complex network topology, and anatomical (Euclidean) distance between connected brain regions, in the resting-state functional magnetic res...
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Published in | Cerebral cortex (New York, N.Y. 1991) Vol. 23; no. 1; pp. 127 - 138 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Oxford University Press
01.01.2013
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Subjects | |
Online Access | Get full text |
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Abstract | The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional connectivity, complex network topology, and anatomical (Euclidean) distance between connected brain regions, in the resting-state functional magnetic resonance imaging brain networks of 20 healthy volunteers and 19 patients with childhood-onset schizophrenia (COS). Normal between-subject differences in average distance of connected edges in brain graphs were strongly associated with variation in topological properties of functional networks. In addition, a club or subset of connector hubs was identified, in lateral temporal, parietal, dorsal prefrontal, and medial prefrontal/cingulate cortical regions. In COS, there was reduced strength of functional connectivity over short distances especially, and therefore, global mean connection distance of thresholded graphs was significantly greater than normal. As predicted from relationships between spatial and topological properties of normal networks, this disorder-related proportional increase in connection distance was associated with reduced clustering and modularity and increased global efficiency of COS networks. Between-group differences in connection distance were localized specifically to connector hubs of multimodal association cortex. In relation to the neurodevelopmental pathogenesis of schizophrenia, we argue that the data are consistent with the interpretation that spatial and topological disturbances of functional network organization could arise from excessive "pruning" of short-distance functional connections in schizophrenia. |
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AbstractList | The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional connectivity, complex network topology, and anatomical (Euclidean) distance between connected brain regions, in the resting-state functional magnetic resonance imaging brain networks of 20 healthy volunteers and 19 patients with childhood-onset schizophrenia (COS). Normal between-subject differences in average distance of connected edges in brain graphs were strongly associated with variation in topological properties of functional networks. In addition, a club or subset of connector hubs was identified, in lateral temporal, parietal, dorsal prefrontal, and medial prefrontal/cingulate cortical regions. In COS, there was reduced strength of functional connectivity over short distances especially, and therefore, global mean connection distance of thresholded graphs was significantly greater than normal. As predicted from relationships between spatial and topological properties of normal networks, this disorder-related proportional increase in connection distance was associated with reduced clustering and modularity and increased global efficiency of COS networks. Between-group differences in connection distance were localized specifically to connector hubs of multimodal association cortex. In relation to the neurodevelopmental pathogenesis of schizophrenia, we argue that the data are consistent with the interpretation that spatial and topological disturbances of functional network organization could arise from excessive "pruning" of short-distance functional connections in schizophrenia. The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional connectivity, complex network topology, and anatomical (Euclidean) distance between connected brain regions, in the resting-state functional magnetic resonance imaging brain networks of 20 healthy volunteers and 19 patients with childhood-onset schizophrenia (COS). Normal between-subject differences in average distance of connected edges in brain graphs were strongly associated with variation in topological properties of functional networks. In addition, a club or subset of connector hubs was identified, in lateral temporal, parietal, dorsal prefrontal, and medial prefrontal/cingulate cortical regions. In COS, there was reduced strength of functional connectivity over short distances especially, and therefore, global mean connection distance of thresholded graphs was significantly greater than normal. As predicted from relationships between spatial and topological properties of normal networks, this disorder-related proportional increase in connection distance was associated with reduced clustering and modularity and increased global efficiency of COS networks. Between-group differences in connection distance were localized specifically to connector hubs of multimodal association cortex. In relation to the neurodevelopmental pathogenesis of schizophrenia, we argue that the data are consistent with the interpretation that spatial and topological disturbances of functional network organization could arise from excessive "pruning" of short-distance functional connections in schizophrenia.The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional connectivity, complex network topology, and anatomical (Euclidean) distance between connected brain regions, in the resting-state functional magnetic resonance imaging brain networks of 20 healthy volunteers and 19 patients with childhood-onset schizophrenia (COS). Normal between-subject differences in average distance of connected edges in brain graphs were strongly associated with variation in topological properties of functional networks. In addition, a club or subset of connector hubs was identified, in lateral temporal, parietal, dorsal prefrontal, and medial prefrontal/cingulate cortical regions. In COS, there was reduced strength of functional connectivity over short distances especially, and therefore, global mean connection distance of thresholded graphs was significantly greater than normal. As predicted from relationships between spatial and topological properties of normal networks, this disorder-related proportional increase in connection distance was associated with reduced clustering and modularity and increased global efficiency of COS networks. Between-group differences in connection distance were localized specifically to connector hubs of multimodal association cortex. In relation to the neurodevelopmental pathogenesis of schizophrenia, we argue that the data are consistent with the interpretation that spatial and topological disturbances of functional network organization could arise from excessive "pruning" of short-distance functional connections in schizophrenia. |
Author | Clasen, Liv Alexander-Bloch, Aaron F. Gogtay, Nitin Bullmore, Edward T. Stidd, Reva Lalonde, François Rapoport, Judith Vértes, Petra E. Giedd, Jay |
AuthorAffiliation | 3 David Geffen School of Medicine at University of California—Los Angeles, Los Angeles, CA 90095, USA 2 Child Psychiatry Branch, National Institute of Mental Health, Bethesda, MD 20892, USA 1 Department of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK |
AuthorAffiliation_xml | – name: 2 Child Psychiatry Branch, National Institute of Mental Health, Bethesda, MD 20892, USA – name: 1 Department of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK – name: 3 David Geffen School of Medicine at University of California—Los Angeles, Los Angeles, CA 90095, USA |
Author_xml | – sequence: 1 givenname: Aaron F. surname: Alexander-Bloch fullname: Alexander-Bloch, Aaron F. – sequence: 2 givenname: Petra E. surname: Vértes fullname: Vértes, Petra E. – sequence: 3 givenname: Reva surname: Stidd fullname: Stidd, Reva – sequence: 4 givenname: François surname: Lalonde fullname: Lalonde, François – sequence: 5 givenname: Liv surname: Clasen fullname: Clasen, Liv – sequence: 6 givenname: Judith surname: Rapoport fullname: Rapoport, Judith – sequence: 7 givenname: Jay surname: Giedd fullname: Giedd, Jay – sequence: 8 givenname: Edward T. surname: Bullmore fullname: Bullmore, Edward T. – sequence: 9 givenname: Nitin surname: Gogtay fullname: Gogtay, Nitin |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22275481$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 Edward T. Bullmore and Nitin Gogtay have contributed equally to this work |
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PublicationTitle | Cerebral cortex (New York, N.Y. 1991) |
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Snippet | The human brain is a topologically complex network embedded in anatomical space. Here, we systematically explored relationships between functional... |
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SubjectTerms | Adolescent Brain - pathology Brain - physiopathology Brain Mapping - methods Connectome - methods Humans Male Nerve Net - pathology Nerve Net - physiopathology Neural Pathways - pathology Neural Pathways - physiopathology Prognosis Reference Values Reproducibility of Results Schizophrenia - pathology Schizophrenia - physiopathology Sensitivity and Specificity Statistics as Topic Young Adult |
Title | The Anatomical Distance of Functional Connections Predicts Brain Network Topology in Health and Schizophrenia |
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