Finding New Communities: A Principle of Neuronal Network Reorganization in Alzheimer's Disease
Graph-theoretical analyses have been previously used to investigate changes in the functional connectome in patients with Alzheimer's disease (AD). However, these analyses generally assume static organizational principles, thereby neglecting a fundamental reconfiguration of functional connectio...
Gespeichert in:
Veröffentlicht in: | Brain connectivity 2021-04, Vol.11 (3), p.225-238 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 238 |
---|---|
container_issue | 3 |
container_start_page | 225 |
container_title | Brain connectivity |
container_volume | 11 |
creator | Weller, Anna Bischof, Gérard N Schlüter, Philipp Richter, Nils Dronse, Julian Onur, Oezguer Neumaier, Bernd Kukolja, Juraj Langen, Karl-Josef Fink, Gereon Kunoth, Angela Shao, Yaping van Eimeren, Thilo Drzezga, Alexander |
description | Graph-theoretical analyses have been previously used to investigate changes in the functional connectome in patients with Alzheimer's disease (AD). However, these analyses generally assume static organizational principles, thereby neglecting a fundamental reconfiguration of functional connections in the face of neurodegeneration.
Here, we focus on differences in the community structure of the functional connectome in young and old individuals and patients with AD. Patients with AD, moreover, underwent molecular imaging positron emission tomography by using [18F]AV1451 to measure tau burden, a major hallmark of AD.
Although the overall organizational principles of the community structure of the human functional connectome were preserved even in advanced healthy aging, they were considerably changed in AD. We discovered that the communities in AD are re-organized, with nodes changing their allegiance to communities, thus resulting in an overall less efficient re-organized community structure. We further discovered that nodes with a tendency to leave the communities displayed a relatively higher tau pathology burden.
Together, this study suggests that local tau pathology in AD is associated to fundamental changes in basic organizational principles of the human connectome. Our results shed new light on previous findings obtained by using the graph theory in AD and imply a general principle of the brain in response to neurodegeneration. |
doi_str_mv | 10.1089/brain.2020.0889 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2473401305</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2513379714</sourcerecordid><originalsourceid>FETCH-LOGICAL-c366t-cc87066f762225df089e9d7539e6e3c172a5942dc2dab4cda668859765c63d5e3</originalsourceid><addsrcrecordid>eNpdkE1LAzEQhoMoKtWzNwl40EtrPjbZrLdSrQpFRfTqkmZna3Q3qckuYn-9qV8H5zID88zA-yB0QMmIElWczoO2bsQIIyOiVLGBdhkVakgIY5t_M8120H6MLySVyBQh2Tba4ZwLqRjZRU9T6yrrFvgG3vHEt23vbGchnuExvgvWGbtsAPs67fvgnW7S0L378IrvwYeFdnalO-sdtg6Pm9Uz2BbCccTnNoKOsIe2at1E2P_pA_Q4vXiYXA1nt5fXk_FsaLiU3dAYlRMp61wyxkRVp3RQVLngBUjghuZMiyJjlWGVnmem0lIqJYpcCiN5JYAP0Mn332Xwbz3ErmxtNNA02oHvY8mynGeEciISevQPffF9SMkSJSjneZHTLFGn35QJPsYAdbkMttXho6SkXNsvv-yXa_vl2n66OPz5289bqP74X9f8E3nyf3o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2513379714</pqid></control><display><type>article</type><title>Finding New Communities: A Principle of Neuronal Network Reorganization in Alzheimer's Disease</title><source>Alma/SFX Local Collection</source><creator>Weller, Anna ; Bischof, Gérard N ; Schlüter, Philipp ; Richter, Nils ; Dronse, Julian ; Onur, Oezguer ; Neumaier, Bernd ; Kukolja, Juraj ; Langen, Karl-Josef ; Fink, Gereon ; Kunoth, Angela ; Shao, Yaping ; van Eimeren, Thilo ; Drzezga, Alexander</creator><creatorcontrib>Weller, Anna ; Bischof, Gérard N ; Schlüter, Philipp ; Richter, Nils ; Dronse, Julian ; Onur, Oezguer ; Neumaier, Bernd ; Kukolja, Juraj ; Langen, Karl-Josef ; Fink, Gereon ; Kunoth, Angela ; Shao, Yaping ; van Eimeren, Thilo ; Drzezga, Alexander</creatorcontrib><description>Graph-theoretical analyses have been previously used to investigate changes in the functional connectome in patients with Alzheimer's disease (AD). However, these analyses generally assume static organizational principles, thereby neglecting a fundamental reconfiguration of functional connections in the face of neurodegeneration.
Here, we focus on differences in the community structure of the functional connectome in young and old individuals and patients with AD. Patients with AD, moreover, underwent molecular imaging positron emission tomography by using [18F]AV1451 to measure tau burden, a major hallmark of AD.
Although the overall organizational principles of the community structure of the human functional connectome were preserved even in advanced healthy aging, they were considerably changed in AD. We discovered that the communities in AD are re-organized, with nodes changing their allegiance to communities, thus resulting in an overall less efficient re-organized community structure. We further discovered that nodes with a tendency to leave the communities displayed a relatively higher tau pathology burden.
Together, this study suggests that local tau pathology in AD is associated to fundamental changes in basic organizational principles of the human connectome. Our results shed new light on previous findings obtained by using the graph theory in AD and imply a general principle of the brain in response to neurodegeneration.</description><identifier>ISSN: 2158-0014</identifier><identifier>EISSN: 2158-0022</identifier><identifier>DOI: 10.1089/brain.2020.0889</identifier><identifier>PMID: 33356820</identifier><language>eng</language><publisher>United States: Mary Ann Liebert, Inc</publisher><subject>Aging ; Alzheimer's disease ; Community structure ; Neurodegeneration ; Neurodegenerative diseases ; Neuroimaging ; Positron emission tomography ; Principles ; Tau protein</subject><ispartof>Brain connectivity, 2021-04, Vol.11 (3), p.225-238</ispartof><rights>Copyright Mary Ann Liebert, Inc. Apr 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-cc87066f762225df089e9d7539e6e3c172a5942dc2dab4cda668859765c63d5e3</citedby><cites>FETCH-LOGICAL-c366t-cc87066f762225df089e9d7539e6e3c172a5942dc2dab4cda668859765c63d5e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33356820$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Weller, Anna</creatorcontrib><creatorcontrib>Bischof, Gérard N</creatorcontrib><creatorcontrib>Schlüter, Philipp</creatorcontrib><creatorcontrib>Richter, Nils</creatorcontrib><creatorcontrib>Dronse, Julian</creatorcontrib><creatorcontrib>Onur, Oezguer</creatorcontrib><creatorcontrib>Neumaier, Bernd</creatorcontrib><creatorcontrib>Kukolja, Juraj</creatorcontrib><creatorcontrib>Langen, Karl-Josef</creatorcontrib><creatorcontrib>Fink, Gereon</creatorcontrib><creatorcontrib>Kunoth, Angela</creatorcontrib><creatorcontrib>Shao, Yaping</creatorcontrib><creatorcontrib>van Eimeren, Thilo</creatorcontrib><creatorcontrib>Drzezga, Alexander</creatorcontrib><title>Finding New Communities: A Principle of Neuronal Network Reorganization in Alzheimer's Disease</title><title>Brain connectivity</title><addtitle>Brain Connect</addtitle><description>Graph-theoretical analyses have been previously used to investigate changes in the functional connectome in patients with Alzheimer's disease (AD). However, these analyses generally assume static organizational principles, thereby neglecting a fundamental reconfiguration of functional connections in the face of neurodegeneration.
Here, we focus on differences in the community structure of the functional connectome in young and old individuals and patients with AD. Patients with AD, moreover, underwent molecular imaging positron emission tomography by using [18F]AV1451 to measure tau burden, a major hallmark of AD.
Although the overall organizational principles of the community structure of the human functional connectome were preserved even in advanced healthy aging, they were considerably changed in AD. We discovered that the communities in AD are re-organized, with nodes changing their allegiance to communities, thus resulting in an overall less efficient re-organized community structure. We further discovered that nodes with a tendency to leave the communities displayed a relatively higher tau pathology burden.
Together, this study suggests that local tau pathology in AD is associated to fundamental changes in basic organizational principles of the human connectome. Our results shed new light on previous findings obtained by using the graph theory in AD and imply a general principle of the brain in response to neurodegeneration.</description><subject>Aging</subject><subject>Alzheimer's disease</subject><subject>Community structure</subject><subject>Neurodegeneration</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Positron emission tomography</subject><subject>Principles</subject><subject>Tau protein</subject><issn>2158-0014</issn><issn>2158-0022</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpdkE1LAzEQhoMoKtWzNwl40EtrPjbZrLdSrQpFRfTqkmZna3Q3qckuYn-9qV8H5zID88zA-yB0QMmIElWczoO2bsQIIyOiVLGBdhkVakgIY5t_M8120H6MLySVyBQh2Tba4ZwLqRjZRU9T6yrrFvgG3vHEt23vbGchnuExvgvWGbtsAPs67fvgnW7S0L378IrvwYeFdnalO-sdtg6Pm9Uz2BbCccTnNoKOsIe2at1E2P_pA_Q4vXiYXA1nt5fXk_FsaLiU3dAYlRMp61wyxkRVp3RQVLngBUjghuZMiyJjlWGVnmem0lIqJYpcCiN5JYAP0Mn332Xwbz3ErmxtNNA02oHvY8mynGeEciISevQPffF9SMkSJSjneZHTLFGn35QJPsYAdbkMttXho6SkXNsvv-yXa_vl2n66OPz5289bqP74X9f8E3nyf3o</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Weller, Anna</creator><creator>Bischof, Gérard N</creator><creator>Schlüter, Philipp</creator><creator>Richter, Nils</creator><creator>Dronse, Julian</creator><creator>Onur, Oezguer</creator><creator>Neumaier, Bernd</creator><creator>Kukolja, Juraj</creator><creator>Langen, Karl-Josef</creator><creator>Fink, Gereon</creator><creator>Kunoth, Angela</creator><creator>Shao, Yaping</creator><creator>van Eimeren, Thilo</creator><creator>Drzezga, Alexander</creator><general>Mary Ann Liebert, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20210401</creationdate><title>Finding New Communities: A Principle of Neuronal Network Reorganization in Alzheimer's Disease</title><author>Weller, Anna ; Bischof, Gérard N ; Schlüter, Philipp ; Richter, Nils ; Dronse, Julian ; Onur, Oezguer ; Neumaier, Bernd ; Kukolja, Juraj ; Langen, Karl-Josef ; Fink, Gereon ; Kunoth, Angela ; Shao, Yaping ; van Eimeren, Thilo ; Drzezga, Alexander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-cc87066f762225df089e9d7539e6e3c172a5942dc2dab4cda668859765c63d5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aging</topic><topic>Alzheimer's disease</topic><topic>Community structure</topic><topic>Neurodegeneration</topic><topic>Neurodegenerative diseases</topic><topic>Neuroimaging</topic><topic>Positron emission tomography</topic><topic>Principles</topic><topic>Tau protein</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Weller, Anna</creatorcontrib><creatorcontrib>Bischof, Gérard N</creatorcontrib><creatorcontrib>Schlüter, Philipp</creatorcontrib><creatorcontrib>Richter, Nils</creatorcontrib><creatorcontrib>Dronse, Julian</creatorcontrib><creatorcontrib>Onur, Oezguer</creatorcontrib><creatorcontrib>Neumaier, Bernd</creatorcontrib><creatorcontrib>Kukolja, Juraj</creatorcontrib><creatorcontrib>Langen, Karl-Josef</creatorcontrib><creatorcontrib>Fink, Gereon</creatorcontrib><creatorcontrib>Kunoth, Angela</creatorcontrib><creatorcontrib>Shao, Yaping</creatorcontrib><creatorcontrib>van Eimeren, Thilo</creatorcontrib><creatorcontrib>Drzezga, Alexander</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Brain connectivity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Weller, Anna</au><au>Bischof, Gérard N</au><au>Schlüter, Philipp</au><au>Richter, Nils</au><au>Dronse, Julian</au><au>Onur, Oezguer</au><au>Neumaier, Bernd</au><au>Kukolja, Juraj</au><au>Langen, Karl-Josef</au><au>Fink, Gereon</au><au>Kunoth, Angela</au><au>Shao, Yaping</au><au>van Eimeren, Thilo</au><au>Drzezga, Alexander</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Finding New Communities: A Principle of Neuronal Network Reorganization in Alzheimer's Disease</atitle><jtitle>Brain connectivity</jtitle><addtitle>Brain Connect</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>11</volume><issue>3</issue><spage>225</spage><epage>238</epage><pages>225-238</pages><issn>2158-0014</issn><eissn>2158-0022</eissn><abstract>Graph-theoretical analyses have been previously used to investigate changes in the functional connectome in patients with Alzheimer's disease (AD). However, these analyses generally assume static organizational principles, thereby neglecting a fundamental reconfiguration of functional connections in the face of neurodegeneration.
Here, we focus on differences in the community structure of the functional connectome in young and old individuals and patients with AD. Patients with AD, moreover, underwent molecular imaging positron emission tomography by using [18F]AV1451 to measure tau burden, a major hallmark of AD.
Although the overall organizational principles of the community structure of the human functional connectome were preserved even in advanced healthy aging, they were considerably changed in AD. We discovered that the communities in AD are re-organized, with nodes changing their allegiance to communities, thus resulting in an overall less efficient re-organized community structure. We further discovered that nodes with a tendency to leave the communities displayed a relatively higher tau pathology burden.
Together, this study suggests that local tau pathology in AD is associated to fundamental changes in basic organizational principles of the human connectome. Our results shed new light on previous findings obtained by using the graph theory in AD and imply a general principle of the brain in response to neurodegeneration.</abstract><cop>United States</cop><pub>Mary Ann Liebert, Inc</pub><pmid>33356820</pmid><doi>10.1089/brain.2020.0889</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2158-0014 |
ispartof | Brain connectivity, 2021-04, Vol.11 (3), p.225-238 |
issn | 2158-0014 2158-0022 |
language | eng |
recordid | cdi_proquest_miscellaneous_2473401305 |
source | Alma/SFX Local Collection |
subjects | Aging Alzheimer's disease Community structure Neurodegeneration Neurodegenerative diseases Neuroimaging Positron emission tomography Principles Tau protein |
title | Finding New Communities: A Principle of Neuronal Network Reorganization in Alzheimer's Disease |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T10%3A38%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Finding%20New%20Communities:%20A%20Principle%20of%20Neuronal%20Network%20Reorganization%20in%20Alzheimer's%20Disease&rft.jtitle=Brain%20connectivity&rft.au=Weller,%20Anna&rft.date=2021-04-01&rft.volume=11&rft.issue=3&rft.spage=225&rft.epage=238&rft.pages=225-238&rft.issn=2158-0014&rft.eissn=2158-0022&rft_id=info:doi/10.1089/brain.2020.0889&rft_dat=%3Cproquest_cross%3E2513379714%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2513379714&rft_id=info:pmid/33356820&rfr_iscdi=true |