Disruption of white matter connectivity in chronic obstructive pulmonary disease
Mild cognitive impairment is a common systemic manifestation of chronic obstructive pulmonary disease (COPD). However, its pathophysiological origins are not understood. Since, cognitive function relies on efficient communication between distributed cortical and subcortical regions, we investigated...
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description | Mild cognitive impairment is a common systemic manifestation of chronic obstructive pulmonary disease (COPD). However, its pathophysiological origins are not understood. Since, cognitive function relies on efficient communication between distributed cortical and subcortical regions, we investigated whether people with COPD have disruption in white matter connectivity.
Structural networks were constructed for 30 COPD patients (aged 54-84 years, 57% male, FEV1 52.5% pred.) and 23 controls (aged 51-81 years, 48% Male). Networks comprised 90 grey matter regions (nodes) interconnected by white mater fibre tracts traced using deterministic tractography (edges). Edges were weighted by the number of streamlines adjusted for a) streamline length and b) end-node volume. White matter connectivity was quantified using global and nodal graph metrics which characterised the networks connection density, connection strength, segregation, integration, nodal influence and small-worldness. Between-group differences in white matter connectivity and within-group associations with cognitive function and disease severity were tested.
COPD patients' brain networks had significantly lower global connection strength (p = 0.03) and connection density (p = 0.04). There was a trend towards COPD patients having a reduction in nodal connection density and connection strength across the majority of network nodes but this only reached significance for connection density in the right superior temporal gyrus (p = 0.02) and did not survive correction for end-node volume. There were no other significant global or nodal network differences or within-group associations with disease severity or cognitive function.
COPD brain networks show evidence of damage compared to controls with a reduced number and strength of connections. This loss of connectivity was not sufficient to disrupt the overall efficiency of network organisation, suggesting that it has redundant capacity that makes it resilient to damage, which may explain why cognitive dysfunction is not severe. This might also explain why no direct relationships could be found with cognitive measures. Smoking and hypertension are known to have deleterious effects on the brain. These confounding effects could not be excluded. |
doi_str_mv | 10.1371/journal.pone.0223297 |
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Structural networks were constructed for 30 COPD patients (aged 54-84 years, 57% male, FEV1 52.5% pred.) and 23 controls (aged 51-81 years, 48% Male). Networks comprised 90 grey matter regions (nodes) interconnected by white mater fibre tracts traced using deterministic tractography (edges). Edges were weighted by the number of streamlines adjusted for a) streamline length and b) end-node volume. White matter connectivity was quantified using global and nodal graph metrics which characterised the networks connection density, connection strength, segregation, integration, nodal influence and small-worldness. Between-group differences in white matter connectivity and within-group associations with cognitive function and disease severity were tested.
COPD patients' brain networks had significantly lower global connection strength (p = 0.03) and connection density (p = 0.04). There was a trend towards COPD patients having a reduction in nodal connection density and connection strength across the majority of network nodes but this only reached significance for connection density in the right superior temporal gyrus (p = 0.02) and did not survive correction for end-node volume. There were no other significant global or nodal network differences or within-group associations with disease severity or cognitive function.
COPD brain networks show evidence of damage compared to controls with a reduced number and strength of connections. This loss of connectivity was not sufficient to disrupt the overall efficiency of network organisation, suggesting that it has redundant capacity that makes it resilient to damage, which may explain why cognitive dysfunction is not severe. This might also explain why no direct relationships could be found with cognitive measures. Smoking and hypertension are known to have deleterious effects on the brain. These confounding effects could not be excluded.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0223297</identifier><identifier>PMID: 31581226</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aged, 80 and over ; Biology and Life Sciences ; Brain ; Brain damage ; Brain research ; Care and treatment ; Chronic illnesses ; Chronic obstructive lung disease ; Chronic obstructive pulmonary disease ; Cognition ; Cognitive ability ; Cognitive disorders ; Cognitive Dysfunction - etiology ; Cognitive Dysfunction - physiopathology ; Cognitive Dysfunction - psychology ; Computer and Information Sciences ; Connectome ; Cortex ; Density ; Diffusion Tensor Imaging ; Disruption ; Female ; Hospitals ; Humans ; Hypertension ; Image Processing, Computer-Assisted ; Lung diseases ; Male ; Medical tests ; Medicine and Health Sciences ; Middle Aged ; Morbidity ; Mortality ; Networks ; Neural networks ; Neurosciences ; Nodes ; Obstructive lung disease ; Patients ; Pulmonary Disease, Chronic Obstructive - complications ; Pulmonary Disease, Chronic Obstructive - diagnosis ; Research and Analysis Methods ; Respiratory Function Tests ; Respiratory tract diseases ; Risk factors ; Segregation ; Severity of Illness Index ; Smoking ; Streamlines ; Strength ; Substantia alba ; Substantia grisea ; Superior temporal gyrus ; Temporal gyrus ; White Matter - diagnostic imaging ; White Matter - physiology</subject><ispartof>PloS one, 2019-10, Vol.14 (10), p.e0223297-e0223297</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Spilling et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Spilling et al 2019 Spilling et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-208a0caf96e8c4bf3b49dcf250da4bb18ee6b1572f3a2f8b5e562985484ae63d3</citedby><cites>FETCH-LOGICAL-c692t-208a0caf96e8c4bf3b49dcf250da4bb18ee6b1572f3a2f8b5e562985484ae63d3</cites><orcidid>0000-0002-6908-5079</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776415/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776415/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31581226$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Spilling, Catherine A</creatorcontrib><creatorcontrib>Jones, Paul W</creatorcontrib><creatorcontrib>Dodd, James W</creatorcontrib><creatorcontrib>Barrick, Thomas R</creatorcontrib><title>Disruption of white matter connectivity in chronic obstructive pulmonary disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Mild cognitive impairment is a common systemic manifestation of chronic obstructive pulmonary disease (COPD). However, its pathophysiological origins are not understood. Since, cognitive function relies on efficient communication between distributed cortical and subcortical regions, we investigated whether people with COPD have disruption in white matter connectivity.
Structural networks were constructed for 30 COPD patients (aged 54-84 years, 57% male, FEV1 52.5% pred.) and 23 controls (aged 51-81 years, 48% Male). Networks comprised 90 grey matter regions (nodes) interconnected by white mater fibre tracts traced using deterministic tractography (edges). Edges were weighted by the number of streamlines adjusted for a) streamline length and b) end-node volume. White matter connectivity was quantified using global and nodal graph metrics which characterised the networks connection density, connection strength, segregation, integration, nodal influence and small-worldness. Between-group differences in white matter connectivity and within-group associations with cognitive function and disease severity were tested.
COPD patients' brain networks had significantly lower global connection strength (p = 0.03) and connection density (p = 0.04). There was a trend towards COPD patients having a reduction in nodal connection density and connection strength across the majority of network nodes but this only reached significance for connection density in the right superior temporal gyrus (p = 0.02) and did not survive correction for end-node volume. There were no other significant global or nodal network differences or within-group associations with disease severity or cognitive function.
COPD brain networks show evidence of damage compared to controls with a reduced number and strength of connections. This loss of connectivity was not sufficient to disrupt the overall efficiency of network organisation, suggesting that it has redundant capacity that makes it resilient to damage, which may explain why cognitive dysfunction is not severe. This might also explain why no direct relationships could be found with cognitive measures. Smoking and hypertension are known to have deleterious effects on the brain. These confounding effects could not be excluded.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Brain damage</subject><subject>Brain research</subject><subject>Care and treatment</subject><subject>Chronic illnesses</subject><subject>Chronic obstructive lung disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Cognitive disorders</subject><subject>Cognitive Dysfunction - etiology</subject><subject>Cognitive Dysfunction - physiopathology</subject><subject>Cognitive Dysfunction - psychology</subject><subject>Computer and Information Sciences</subject><subject>Connectome</subject><subject>Cortex</subject><subject>Density</subject><subject>Diffusion Tensor Imaging</subject><subject>Disruption</subject><subject>Female</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Image Processing, Computer-Assisted</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medical tests</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Networks</subject><subject>Neural networks</subject><subject>Neurosciences</subject><subject>Nodes</subject><subject>Obstructive lung disease</subject><subject>Patients</subject><subject>Pulmonary Disease, Chronic Obstructive - complications</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnosis</subject><subject>Research and Analysis Methods</subject><subject>Respiratory Function Tests</subject><subject>Respiratory tract diseases</subject><subject>Risk factors</subject><subject>Segregation</subject><subject>Severity of Illness Index</subject><subject>Smoking</subject><subject>Streamlines</subject><subject>Strength</subject><subject>Substantia alba</subject><subject>Substantia grisea</subject><subject>Superior temporal gyrus</subject><subject>Temporal gyrus</subject><subject>White Matter - diagnostic imaging</subject><subject>White Matter - physiology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkttu1DAQhiMEoqXwBggiISG42MXnJDdIVTmtVKmI063lOJNdrxJ7azuFvj1ON602qBfIF7bG3_xjz_xZ9hyjJaYFfrd1g7eqW-6chSUihJKqeJAd44qShSCIPjw4H2VPQtgixGkpxOPsiGJeYkLEcfb1gwl-2EXjbO7a_PfGRMh7FSP4XDtrQUdzZeJ1bmyuN95Zo3NXh-iH8QLy3dD1zip_nTcmgArwNHvUqi7As2k_yX5--vjj7Mvi_OLz6uz0fKFFReKCoFIhrdpKQKlZ3dKaVY1uCUeNYnWNSwBRY16QlirSljUHLkhVclYyBYI29CR7udfddS7IqRlBEoqQQFXBqkSs9kTj1FbuvOnTM6VTRt4EnF9L5aPRHcgCU4TbihecNozSpmS85LptMMVl3ZAiab2fqg11D40GG73qZqLzG2s2cu2upCgKwTBPAm8mAe8uBwhR9iZo6DplwQ0378YsjZCOtV79g97_u4laq_QBY1uX6upRVJ4KhAXhnLBELe-h0mqgN2m-0JoUnyW8nSUkJsKfuFZDCHL1_dv_sxe_5uzrA3YDqoub4LphNF6Yg2wPau9C8NDeNRkjORr_thtyNL6cjJ_SXhwO6C7p1un0L3lh_b8</recordid><startdate>20191003</startdate><enddate>20191003</enddate><creator>Spilling, Catherine A</creator><creator>Jones, Paul W</creator><creator>Dodd, James W</creator><creator>Barrick, Thomas R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6908-5079</orcidid></search><sort><creationdate>20191003</creationdate><title>Disruption of white matter connectivity in chronic obstructive pulmonary disease</title><author>Spilling, Catherine A ; Jones, Paul W ; Dodd, James W ; Barrick, Thomas R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-208a0caf96e8c4bf3b49dcf250da4bb18ee6b1572f3a2f8b5e562985484ae63d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biology and Life Sciences</topic><topic>Brain</topic><topic>Brain damage</topic><topic>Brain research</topic><topic>Care and treatment</topic><topic>Chronic illnesses</topic><topic>Chronic obstructive lung disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>Cognitive disorders</topic><topic>Cognitive Dysfunction - etiology</topic><topic>Cognitive Dysfunction - physiopathology</topic><topic>Cognitive Dysfunction - psychology</topic><topic>Computer and Information Sciences</topic><topic>Connectome</topic><topic>Cortex</topic><topic>Density</topic><topic>Diffusion Tensor Imaging</topic><topic>Disruption</topic><topic>Female</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Image Processing, Computer-Assisted</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Medical tests</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>Networks</topic><topic>Neural networks</topic><topic>Neurosciences</topic><topic>Nodes</topic><topic>Obstructive lung disease</topic><topic>Patients</topic><topic>Pulmonary Disease, Chronic Obstructive - complications</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnosis</topic><topic>Research and Analysis Methods</topic><topic>Respiratory Function Tests</topic><topic>Respiratory tract diseases</topic><topic>Risk factors</topic><topic>Segregation</topic><topic>Severity of Illness Index</topic><topic>Smoking</topic><topic>Streamlines</topic><topic>Strength</topic><topic>Substantia alba</topic><topic>Substantia grisea</topic><topic>Superior temporal gyrus</topic><topic>Temporal gyrus</topic><topic>White Matter - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Spilling, Catherine A</au><au>Jones, Paul W</au><au>Dodd, James W</au><au>Barrick, Thomas R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Disruption of white matter connectivity in chronic obstructive pulmonary disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-10-03</date><risdate>2019</risdate><volume>14</volume><issue>10</issue><spage>e0223297</spage><epage>e0223297</epage><pages>e0223297-e0223297</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Mild cognitive impairment is a common systemic manifestation of chronic obstructive pulmonary disease (COPD). However, its pathophysiological origins are not understood. Since, cognitive function relies on efficient communication between distributed cortical and subcortical regions, we investigated whether people with COPD have disruption in white matter connectivity.
Structural networks were constructed for 30 COPD patients (aged 54-84 years, 57% male, FEV1 52.5% pred.) and 23 controls (aged 51-81 years, 48% Male). Networks comprised 90 grey matter regions (nodes) interconnected by white mater fibre tracts traced using deterministic tractography (edges). Edges were weighted by the number of streamlines adjusted for a) streamline length and b) end-node volume. White matter connectivity was quantified using global and nodal graph metrics which characterised the networks connection density, connection strength, segregation, integration, nodal influence and small-worldness. Between-group differences in white matter connectivity and within-group associations with cognitive function and disease severity were tested.
COPD patients' brain networks had significantly lower global connection strength (p = 0.03) and connection density (p = 0.04). There was a trend towards COPD patients having a reduction in nodal connection density and connection strength across the majority of network nodes but this only reached significance for connection density in the right superior temporal gyrus (p = 0.02) and did not survive correction for end-node volume. There were no other significant global or nodal network differences or within-group associations with disease severity or cognitive function.
COPD brain networks show evidence of damage compared to controls with a reduced number and strength of connections. This loss of connectivity was not sufficient to disrupt the overall efficiency of network organisation, suggesting that it has redundant capacity that makes it resilient to damage, which may explain why cognitive dysfunction is not severe. This might also explain why no direct relationships could be found with cognitive measures. Smoking and hypertension are known to have deleterious effects on the brain. These confounding effects could not be excluded.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31581226</pmid><doi>10.1371/journal.pone.0223297</doi><tpages>e0223297</tpages><orcidid>https://orcid.org/0000-0002-6908-5079</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Biology and Life Sciences Brain Brain damage Brain research Care and treatment Chronic illnesses Chronic obstructive lung disease Chronic obstructive pulmonary disease Cognition Cognitive ability Cognitive disorders Cognitive Dysfunction - etiology Cognitive Dysfunction - physiopathology Cognitive Dysfunction - psychology Computer and Information Sciences Connectome Cortex Density Diffusion Tensor Imaging Disruption Female Hospitals Humans Hypertension Image Processing, Computer-Assisted Lung diseases Male Medical tests Medicine and Health Sciences Middle Aged Morbidity Mortality Networks Neural networks Neurosciences Nodes Obstructive lung disease Patients Pulmonary Disease, Chronic Obstructive - complications Pulmonary Disease, Chronic Obstructive - diagnosis Research and Analysis Methods Respiratory Function Tests Respiratory tract diseases Risk factors Segregation Severity of Illness Index Smoking Streamlines Strength Substantia alba Substantia grisea Superior temporal gyrus Temporal gyrus White Matter - diagnostic imaging White Matter - physiology |
title | Disruption of white matter connectivity in chronic obstructive pulmonary disease |
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