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Emergent Functional Network Effects in Parkinson Disease
Abstract The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy, beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical pathology fails to account for the wide spectrum of clinical manifestations in PD. To reconcile these obser...
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Published in: | Cerebral cortex (New York, N.Y. 1991) N.Y. 1991), 2019-06, Vol.29 (6), p.2509-2523 |
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creator | Gratton, Caterina Koller, Jonathan M Shannon, William Greene, Deanna J Maiti, Baijayanta Snyder, Abraham Z Petersen, Steven E Perlmutter, Joel S Campbell, Meghan C |
description | Abstract
The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy, beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical pathology fails to account for the wide spectrum of clinical manifestations in PD. To reconcile these observations, resting-state functional connectivity (FC) can be used to examine dysfunction across distributed brain networks. We measured FC in a large, single-site study of nondemented PD (N = 107; OFF medications) and healthy controls (N = 46) incorporating rigorous quality control measures and comprehensive sampling of cortical, subcortical and cerebellar regions. We employed novel statistical approaches to determine group differences across the entire connectome, at the network-level, and for select brain regions. Group differences respected well-characterized network delineations producing a striking “block-wise” pattern of network-to-network effects. Surprisingly, these results demonstrate that the greatest FC differences involve sensorimotor, thalamic, and cerebellar networks, with notably smaller striatal effects. Split-half replication demonstrates the robustness of these results. Finally, block-wise FC correlations with behavior suggest that FC disruptions may contribute to clinical manifestations in PD. Overall, these results indicate a concerted breakdown of functional network interactions, remote from primary pathophysiology, and suggest that FC deficits in PD are related to emergent network-level phenomena rather than focal pathology. |
doi_str_mv | 10.1093/cercor/bhy121 |
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The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy, beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical pathology fails to account for the wide spectrum of clinical manifestations in PD. To reconcile these observations, resting-state functional connectivity (FC) can be used to examine dysfunction across distributed brain networks. We measured FC in a large, single-site study of nondemented PD (N = 107; OFF medications) and healthy controls (N = 46) incorporating rigorous quality control measures and comprehensive sampling of cortical, subcortical and cerebellar regions. We employed novel statistical approaches to determine group differences across the entire connectome, at the network-level, and for select brain regions. Group differences respected well-characterized network delineations producing a striking “block-wise” pattern of network-to-network effects. Surprisingly, these results demonstrate that the greatest FC differences involve sensorimotor, thalamic, and cerebellar networks, with notably smaller striatal effects. Split-half replication demonstrates the robustness of these results. Finally, block-wise FC correlations with behavior suggest that FC disruptions may contribute to clinical manifestations in PD. Overall, these results indicate a concerted breakdown of functional network interactions, remote from primary pathophysiology, and suggest that FC deficits in PD are related to emergent network-level phenomena rather than focal pathology.</description><identifier>ISSN: 1047-3211</identifier><identifier>EISSN: 1460-2199</identifier><identifier>DOI: 10.1093/cercor/bhy121</identifier><identifier>PMID: 29878081</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Aged ; Brain - physiopathology ; Connectome - methods ; Female ; Humans ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Neural Pathways - physiopathology ; Original ; Parkinson Disease - physiopathology</subject><ispartof>Cerebral cortex (New York, N.Y. 1991), 2019-06, Vol.29 (6), p.2509-2523</ispartof><rights>The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com 2018</rights><rights>The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-45bc00ef369024674e08e8864aaf12c565f6228a25ffac7c960e88ba665f3103</citedby><cites>FETCH-LOGICAL-c420t-45bc00ef369024674e08e8864aaf12c565f6228a25ffac7c960e88ba665f3103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29878081$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gratton, Caterina</creatorcontrib><creatorcontrib>Koller, Jonathan M</creatorcontrib><creatorcontrib>Shannon, William</creatorcontrib><creatorcontrib>Greene, Deanna J</creatorcontrib><creatorcontrib>Maiti, Baijayanta</creatorcontrib><creatorcontrib>Snyder, Abraham Z</creatorcontrib><creatorcontrib>Petersen, Steven E</creatorcontrib><creatorcontrib>Perlmutter, Joel S</creatorcontrib><creatorcontrib>Campbell, Meghan C</creatorcontrib><title>Emergent Functional Network Effects in Parkinson Disease</title><title>Cerebral cortex (New York, N.Y. 1991)</title><addtitle>Cereb Cortex</addtitle><description>Abstract
The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy, beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical pathology fails to account for the wide spectrum of clinical manifestations in PD. To reconcile these observations, resting-state functional connectivity (FC) can be used to examine dysfunction across distributed brain networks. We measured FC in a large, single-site study of nondemented PD (N = 107; OFF medications) and healthy controls (N = 46) incorporating rigorous quality control measures and comprehensive sampling of cortical, subcortical and cerebellar regions. We employed novel statistical approaches to determine group differences across the entire connectome, at the network-level, and for select brain regions. Group differences respected well-characterized network delineations producing a striking “block-wise” pattern of network-to-network effects. Surprisingly, these results demonstrate that the greatest FC differences involve sensorimotor, thalamic, and cerebellar networks, with notably smaller striatal effects. Split-half replication demonstrates the robustness of these results. Finally, block-wise FC correlations with behavior suggest that FC disruptions may contribute to clinical manifestations in PD. Overall, these results indicate a concerted breakdown of functional network interactions, remote from primary pathophysiology, and suggest that FC deficits in PD are related to emergent network-level phenomena rather than focal pathology.</description><subject>Aged</subject><subject>Brain - physiopathology</subject><subject>Connectome - methods</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neural Pathways - physiopathology</subject><subject>Original</subject><subject>Parkinson Disease - physiopathology</subject><issn>1047-3211</issn><issn>1460-2199</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkDFPwzAUhC0EoqUwsqKMLKG2kzj2goRKC0gVMHS3HGO3pold7ATUf49RSoGJ6T3pPt2dDoBzBK8QZNlYKi-dH1erLcLoAAxRTmCKEWOH8Yd5mWYYoQE4CeEVQlTiAh-DAWa0pJCiIaDTRvmlsm0y66xsjbOiTh5V--H8OplqrWQbEmOTZ-HXxgZnk1sTlAjqFBxpUQd1trsjsJhNF5P7dP509zC5macyx7BN86KSECqdEQZxTspcQaooJbkQGmFZkEITjKnAhdZClpIRGOVKkChkCGYjcN3bbrqqUS8yNvWi5htvGuG33AnD_yrWrPjSvXNSIEYYiwaXOwPv3joVWt6YIFVdC6tcFziGBSKExWoRTXtUeheCV3ofgyD_Gpv3Y_N-7Mhf_O62p7_X_cl23eYfr0_HkYrr</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Gratton, Caterina</creator><creator>Koller, Jonathan M</creator><creator>Shannon, William</creator><creator>Greene, Deanna J</creator><creator>Maiti, Baijayanta</creator><creator>Snyder, Abraham Z</creator><creator>Petersen, Steven E</creator><creator>Perlmutter, Joel S</creator><creator>Campbell, Meghan C</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190601</creationdate><title>Emergent Functional Network Effects in Parkinson Disease</title><author>Gratton, Caterina ; Koller, Jonathan M ; Shannon, William ; Greene, Deanna J ; Maiti, Baijayanta ; Snyder, Abraham Z ; Petersen, Steven E ; Perlmutter, Joel S ; Campbell, Meghan C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-45bc00ef369024674e08e8864aaf12c565f6228a25ffac7c960e88ba665f3103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Brain - physiopathology</topic><topic>Connectome - methods</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neural Pathways - physiopathology</topic><topic>Original</topic><topic>Parkinson Disease - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gratton, Caterina</creatorcontrib><creatorcontrib>Koller, Jonathan M</creatorcontrib><creatorcontrib>Shannon, William</creatorcontrib><creatorcontrib>Greene, Deanna J</creatorcontrib><creatorcontrib>Maiti, Baijayanta</creatorcontrib><creatorcontrib>Snyder, Abraham Z</creatorcontrib><creatorcontrib>Petersen, Steven E</creatorcontrib><creatorcontrib>Perlmutter, Joel S</creatorcontrib><creatorcontrib>Campbell, Meghan C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cerebral cortex (New York, N.Y. 1991)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gratton, Caterina</au><au>Koller, Jonathan M</au><au>Shannon, William</au><au>Greene, Deanna J</au><au>Maiti, Baijayanta</au><au>Snyder, Abraham Z</au><au>Petersen, Steven E</au><au>Perlmutter, Joel S</au><au>Campbell, Meghan C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Emergent Functional Network Effects in Parkinson Disease</atitle><jtitle>Cerebral cortex (New York, N.Y. 1991)</jtitle><addtitle>Cereb Cortex</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>29</volume><issue>6</issue><spage>2509</spage><epage>2523</epage><pages>2509-2523</pages><issn>1047-3211</issn><eissn>1460-2199</eissn><abstract>Abstract
The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy, beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical pathology fails to account for the wide spectrum of clinical manifestations in PD. To reconcile these observations, resting-state functional connectivity (FC) can be used to examine dysfunction across distributed brain networks. We measured FC in a large, single-site study of nondemented PD (N = 107; OFF medications) and healthy controls (N = 46) incorporating rigorous quality control measures and comprehensive sampling of cortical, subcortical and cerebellar regions. We employed novel statistical approaches to determine group differences across the entire connectome, at the network-level, and for select brain regions. Group differences respected well-characterized network delineations producing a striking “block-wise” pattern of network-to-network effects. Surprisingly, these results demonstrate that the greatest FC differences involve sensorimotor, thalamic, and cerebellar networks, with notably smaller striatal effects. Split-half replication demonstrates the robustness of these results. Finally, block-wise FC correlations with behavior suggest that FC disruptions may contribute to clinical manifestations in PD. Overall, these results indicate a concerted breakdown of functional network interactions, remote from primary pathophysiology, and suggest that FC deficits in PD are related to emergent network-level phenomena rather than focal pathology.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>29878081</pmid><doi>10.1093/cercor/bhy121</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Brain - physiopathology Connectome - methods Female Humans Magnetic Resonance Imaging - methods Male Middle Aged Neural Pathways - physiopathology Original Parkinson Disease - physiopathology |
title | Emergent Functional Network Effects in Parkinson Disease |
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