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Intrinsic brain functional connectivity predicts treatment-related motor complications in early Parkinson’s disease patients
Background Treatment-related motor complications may develop progressively over the course of Parkinson’s disease (PD). Objective We investigated intrinsic brain networks functional connectivity (FC) at baseline in a cohort of early PD patients which successively developed treatment-related motor co...
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Published in: | Journal of neurology 2024-02, Vol.271 (2), p.826-834 |
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container_title | Journal of neurology |
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creator | De Micco, Rosa Di Nardo, Federica Siciliano, Mattia Silvestro, Marcello Russo, Antonio Cirillo, Mario Tedeschi, Gioacchino Esposito, Fabrizio Tessitore, Alessandro |
description | Background
Treatment-related motor complications may develop progressively over the course of Parkinson’s disease (PD).
Objective
We investigated intrinsic brain networks functional connectivity (FC) at baseline in a cohort of early PD patients which successively developed treatment-related motor complications over 4 years.
Methods
Baseline MRI images of 88 drug-naïve PD patients and 20 healthy controls were analyzed. After the baseline assessments, all PD patients were prescribed with dopaminergic treatment and yearly clinically re-assessed. At the 4-year follow-up, 36 patients have developed treatment-related motor complications (PD-Compl) whereas 52 had not (PD-no-Compl). Single-subject and group-level independent component analyses were used to investigate FC changes within the major large-scale resting-state networks at baseline. A multivariate Cox regression model was used to explore baseline predictors of treatment-related motor complications at 4-year follow-up.
Results
At baseline, an increased FC in the right middle frontal gyrus within the frontoparietal network as well as a decreased connectivity in the left cuneus within the default-mode network were detected in PD-Compl compared with PD-no-Compl. PD-Compl patients showed a preserved sensorimotor FC compared to controls. FC differences were found to be independent predictors of treatment-related motor complications over time.
Conclusion
Our findings demonstrated that specific FC differences may characterize drug-naïve PD patients more prone to develop treatment-related complications. These findings may reflect the presence of an intrinsic vulnerability across frontal and prefrontal circuits, which may be potentially targeted as a future biomarker in clinical trials. |
doi_str_mv | 10.1007/s00415-023-12020-6 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10827831</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2921230206</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-de0e9d3f8628dc03f1647462ce6a3d3ae6810472cb85199216c8c8538c104b293</originalsourceid><addsrcrecordid>eNp9kc1u1TAQhS0EopfCC7BAltiwMfgvibNCqKJQqRIsYG35OpPiktjBdirdDeI1-no8CXO5pfwsWFn2fHPOeA4hjwV_LjjvXhTOtWgYl4oJySVn7R2yEVpJJnTT3yUbrjRnjWr0EXlQyiXn3GDhPjlSnRFaKLEhX89izSGW4Ok2uxDpuEZfQ4puoj7FCHi5CnVHlwxD8LXQmsHVGWJlGSZXYaBzqikjPS9T8G7fXCgqgcvTjr53-TPqp_j923WhQyjgCtAFMZQoD8m90U0FHt2cx-Tj6esPJ2_Z-bs3ZyevzpnXXVPZABz6QY2mlWbwXI2i1Z1upYfWqUE5aI3gupN-axrR91K03njTKOPxeSt7dUxeHnSXdTvD4NE7u8kuOcwu72xywf5dieGTvUhXVnAjO6MEKjy7Ucjpywql2jkUD9PkIqS1WGk69MOddog-_Qe9TGvGjSKFs0mFWbVIyQPlcyolw3g7jeB2n6895GsxX_szX7tvevLnP25bfgWKgDoABUvxAvJv7__I_gBslLSq</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2921230206</pqid></control><display><type>article</type><title>Intrinsic brain functional connectivity predicts treatment-related motor complications in early Parkinson’s disease patients</title><source>Springer Link</source><creator>De Micco, Rosa ; Di Nardo, Federica ; Siciliano, Mattia ; Silvestro, Marcello ; Russo, Antonio ; Cirillo, Mario ; Tedeschi, Gioacchino ; Esposito, Fabrizio ; Tessitore, Alessandro</creator><creatorcontrib>De Micco, Rosa ; Di Nardo, Federica ; Siciliano, Mattia ; Silvestro, Marcello ; Russo, Antonio ; Cirillo, Mario ; Tedeschi, Gioacchino ; Esposito, Fabrizio ; Tessitore, Alessandro</creatorcontrib><description>Background
Treatment-related motor complications may develop progressively over the course of Parkinson’s disease (PD).
Objective
We investigated intrinsic brain networks functional connectivity (FC) at baseline in a cohort of early PD patients which successively developed treatment-related motor complications over 4 years.
Methods
Baseline MRI images of 88 drug-naïve PD patients and 20 healthy controls were analyzed. After the baseline assessments, all PD patients were prescribed with dopaminergic treatment and yearly clinically re-assessed. At the 4-year follow-up, 36 patients have developed treatment-related motor complications (PD-Compl) whereas 52 had not (PD-no-Compl). Single-subject and group-level independent component analyses were used to investigate FC changes within the major large-scale resting-state networks at baseline. A multivariate Cox regression model was used to explore baseline predictors of treatment-related motor complications at 4-year follow-up.
Results
At baseline, an increased FC in the right middle frontal gyrus within the frontoparietal network as well as a decreased connectivity in the left cuneus within the default-mode network were detected in PD-Compl compared with PD-no-Compl. PD-Compl patients showed a preserved sensorimotor FC compared to controls. FC differences were found to be independent predictors of treatment-related motor complications over time.
Conclusion
Our findings demonstrated that specific FC differences may characterize drug-naïve PD patients more prone to develop treatment-related complications. These findings may reflect the presence of an intrinsic vulnerability across frontal and prefrontal circuits, which may be potentially targeted as a future biomarker in clinical trials.</description><identifier>ISSN: 0340-5354</identifier><identifier>ISSN: 1432-1459</identifier><identifier>EISSN: 1432-1459</identifier><identifier>DOI: 10.1007/s00415-023-12020-6</identifier><identifier>PMID: 37814131</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Brain ; Brain - diagnostic imaging ; Brain Mapping - methods ; Clinical trials ; Dopamine ; Dopamine receptors ; Frontal gyrus ; Humans ; Magnetic Resonance Imaging - methods ; Medicine ; Medicine & Public Health ; Movement disorders ; Neural networks ; Neurodegeneration ; Neurodegenerative diseases ; Neurology ; Neuroradiology ; Neurosciences ; Original Communication ; Parkinson Disease - complications ; Parkinson Disease - diagnostic imaging ; Parkinson Disease - drug therapy ; Parkinson's disease ; Patients ; Sensorimotor system</subject><ispartof>Journal of neurology, 2024-02, Vol.271 (2), p.826-834</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-de0e9d3f8628dc03f1647462ce6a3d3ae6810472cb85199216c8c8538c104b293</citedby><cites>FETCH-LOGICAL-c475t-de0e9d3f8628dc03f1647462ce6a3d3ae6810472cb85199216c8c8538c104b293</cites><orcidid>0000-0003-1740-8566</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37814131$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>De Micco, Rosa</creatorcontrib><creatorcontrib>Di Nardo, Federica</creatorcontrib><creatorcontrib>Siciliano, Mattia</creatorcontrib><creatorcontrib>Silvestro, Marcello</creatorcontrib><creatorcontrib>Russo, Antonio</creatorcontrib><creatorcontrib>Cirillo, Mario</creatorcontrib><creatorcontrib>Tedeschi, Gioacchino</creatorcontrib><creatorcontrib>Esposito, Fabrizio</creatorcontrib><creatorcontrib>Tessitore, Alessandro</creatorcontrib><title>Intrinsic brain functional connectivity predicts treatment-related motor complications in early Parkinson’s disease patients</title><title>Journal of neurology</title><addtitle>J Neurol</addtitle><addtitle>J Neurol</addtitle><description>Background
Treatment-related motor complications may develop progressively over the course of Parkinson’s disease (PD).
Objective
We investigated intrinsic brain networks functional connectivity (FC) at baseline in a cohort of early PD patients which successively developed treatment-related motor complications over 4 years.
Methods
Baseline MRI images of 88 drug-naïve PD patients and 20 healthy controls were analyzed. After the baseline assessments, all PD patients were prescribed with dopaminergic treatment and yearly clinically re-assessed. At the 4-year follow-up, 36 patients have developed treatment-related motor complications (PD-Compl) whereas 52 had not (PD-no-Compl). Single-subject and group-level independent component analyses were used to investigate FC changes within the major large-scale resting-state networks at baseline. A multivariate Cox regression model was used to explore baseline predictors of treatment-related motor complications at 4-year follow-up.
Results
At baseline, an increased FC in the right middle frontal gyrus within the frontoparietal network as well as a decreased connectivity in the left cuneus within the default-mode network were detected in PD-Compl compared with PD-no-Compl. PD-Compl patients showed a preserved sensorimotor FC compared to controls. FC differences were found to be independent predictors of treatment-related motor complications over time.
Conclusion
Our findings demonstrated that specific FC differences may characterize drug-naïve PD patients more prone to develop treatment-related complications. These findings may reflect the presence of an intrinsic vulnerability across frontal and prefrontal circuits, which may be potentially targeted as a future biomarker in clinical trials.</description><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain Mapping - methods</subject><subject>Clinical trials</subject><subject>Dopamine</subject><subject>Dopamine receptors</subject><subject>Frontal gyrus</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Movement disorders</subject><subject>Neural networks</subject><subject>Neurodegeneration</subject><subject>Neurodegenerative diseases</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Original Communication</subject><subject>Parkinson Disease - complications</subject><subject>Parkinson Disease - diagnostic imaging</subject><subject>Parkinson Disease - drug therapy</subject><subject>Parkinson's disease</subject><subject>Patients</subject><subject>Sensorimotor system</subject><issn>0340-5354</issn><issn>1432-1459</issn><issn>1432-1459</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1TAQhS0EopfCC7BAltiwMfgvibNCqKJQqRIsYG35OpPiktjBdirdDeI1-no8CXO5pfwsWFn2fHPOeA4hjwV_LjjvXhTOtWgYl4oJySVn7R2yEVpJJnTT3yUbrjRnjWr0EXlQyiXn3GDhPjlSnRFaKLEhX89izSGW4Ok2uxDpuEZfQ4puoj7FCHi5CnVHlwxD8LXQmsHVGWJlGSZXYaBzqikjPS9T8G7fXCgqgcvTjr53-TPqp_j923WhQyjgCtAFMZQoD8m90U0FHt2cx-Tj6esPJ2_Z-bs3ZyevzpnXXVPZABz6QY2mlWbwXI2i1Z1upYfWqUE5aI3gupN-axrR91K03njTKOPxeSt7dUxeHnSXdTvD4NE7u8kuOcwu72xywf5dieGTvUhXVnAjO6MEKjy7Ucjpywql2jkUD9PkIqS1WGk69MOddog-_Qe9TGvGjSKFs0mFWbVIyQPlcyolw3g7jeB2n6895GsxX_szX7tvevLnP25bfgWKgDoABUvxAvJv7__I_gBslLSq</recordid><startdate>20240201</startdate><enddate>20240201</enddate><creator>De Micco, Rosa</creator><creator>Di Nardo, Federica</creator><creator>Siciliano, Mattia</creator><creator>Silvestro, Marcello</creator><creator>Russo, Antonio</creator><creator>Cirillo, Mario</creator><creator>Tedeschi, Gioacchino</creator><creator>Esposito, Fabrizio</creator><creator>Tessitore, Alessandro</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><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>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1740-8566</orcidid></search><sort><creationdate>20240201</creationdate><title>Intrinsic brain functional connectivity predicts treatment-related motor complications in early Parkinson’s disease patients</title><author>De Micco, Rosa ; Di Nardo, Federica ; Siciliano, Mattia ; Silvestro, Marcello ; Russo, Antonio ; Cirillo, Mario ; Tedeschi, Gioacchino ; Esposito, Fabrizio ; Tessitore, Alessandro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-de0e9d3f8628dc03f1647462ce6a3d3ae6810472cb85199216c8c8538c104b293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain Mapping - methods</topic><topic>Clinical trials</topic><topic>Dopamine</topic><topic>Dopamine receptors</topic><topic>Frontal gyrus</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Movement disorders</topic><topic>Neural networks</topic><topic>Neurodegeneration</topic><topic>Neurodegenerative diseases</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Original Communication</topic><topic>Parkinson Disease - complications</topic><topic>Parkinson Disease - diagnostic imaging</topic><topic>Parkinson Disease - drug therapy</topic><topic>Parkinson's disease</topic><topic>Patients</topic><topic>Sensorimotor system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>De Micco, Rosa</creatorcontrib><creatorcontrib>Di Nardo, Federica</creatorcontrib><creatorcontrib>Siciliano, Mattia</creatorcontrib><creatorcontrib>Silvestro, Marcello</creatorcontrib><creatorcontrib>Russo, Antonio</creatorcontrib><creatorcontrib>Cirillo, Mario</creatorcontrib><creatorcontrib>Tedeschi, Gioacchino</creatorcontrib><creatorcontrib>Esposito, Fabrizio</creatorcontrib><creatorcontrib>Tessitore, Alessandro</creatorcontrib><collection>Springer Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>De Micco, Rosa</au><au>Di Nardo, Federica</au><au>Siciliano, Mattia</au><au>Silvestro, Marcello</au><au>Russo, Antonio</au><au>Cirillo, Mario</au><au>Tedeschi, Gioacchino</au><au>Esposito, Fabrizio</au><au>Tessitore, Alessandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intrinsic brain functional connectivity predicts treatment-related motor complications in early Parkinson’s disease patients</atitle><jtitle>Journal of neurology</jtitle><stitle>J Neurol</stitle><addtitle>J Neurol</addtitle><date>2024-02-01</date><risdate>2024</risdate><volume>271</volume><issue>2</issue><spage>826</spage><epage>834</epage><pages>826-834</pages><issn>0340-5354</issn><issn>1432-1459</issn><eissn>1432-1459</eissn><abstract>Background
Treatment-related motor complications may develop progressively over the course of Parkinson’s disease (PD).
Objective
We investigated intrinsic brain networks functional connectivity (FC) at baseline in a cohort of early PD patients which successively developed treatment-related motor complications over 4 years.
Methods
Baseline MRI images of 88 drug-naïve PD patients and 20 healthy controls were analyzed. After the baseline assessments, all PD patients were prescribed with dopaminergic treatment and yearly clinically re-assessed. At the 4-year follow-up, 36 patients have developed treatment-related motor complications (PD-Compl) whereas 52 had not (PD-no-Compl). Single-subject and group-level independent component analyses were used to investigate FC changes within the major large-scale resting-state networks at baseline. A multivariate Cox regression model was used to explore baseline predictors of treatment-related motor complications at 4-year follow-up.
Results
At baseline, an increased FC in the right middle frontal gyrus within the frontoparietal network as well as a decreased connectivity in the left cuneus within the default-mode network were detected in PD-Compl compared with PD-no-Compl. PD-Compl patients showed a preserved sensorimotor FC compared to controls. FC differences were found to be independent predictors of treatment-related motor complications over time.
Conclusion
Our findings demonstrated that specific FC differences may characterize drug-naïve PD patients more prone to develop treatment-related complications. These findings may reflect the presence of an intrinsic vulnerability across frontal and prefrontal circuits, which may be potentially targeted as a future biomarker in clinical trials.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37814131</pmid><doi>10.1007/s00415-023-12020-6</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1740-8566</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Brain Brain - diagnostic imaging Brain Mapping - methods Clinical trials Dopamine Dopamine receptors Frontal gyrus Humans Magnetic Resonance Imaging - methods Medicine Medicine & Public Health Movement disorders Neural networks Neurodegeneration Neurodegenerative diseases Neurology Neuroradiology Neurosciences Original Communication Parkinson Disease - complications Parkinson Disease - diagnostic imaging Parkinson Disease - drug therapy Parkinson's disease Patients Sensorimotor system |
title | Intrinsic brain functional connectivity predicts treatment-related motor complications in early Parkinson’s disease patients |
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