Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer’s disease
Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer’s disease (AD). Computational simulations and animal experiments have hinted at the theory of activity-depe...
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creator | Tu, Jiaxin Cindy Millar, Peter R. Strain, Jeremy F. Eck, Andrew Adeyemo, Babatunde Snyder, Abraham Z. Daniels, Alisha Karch, Celeste Huey, Edward D. McDade, Eric Day, Gregory S. Yakushev, Igor Hassenstab, Jason Morris, John Llibre-Guerra, Jorge J. Ibanez, Laura Jucker, Mathias Mendez, Patricio Chrem Perrin, Richard J. Benzinger, Tammie L. S. Jack, Clifford R. Betzel, Richard Ances, Beau M. Eggebrecht, Adam T. Gordon, Brian A. Wheelock, Muriah D. |
description | Hub regions in the brain, recognized for their roles in ensuring efficient
information transfer, are vulnerable to pathological alterations in
neurodegenerative conditions, including Alzheimer’s disease (AD).
Computational simulations and animal experiments have hinted at the theory of
activity-dependent degeneration as the cause of this hub vulnerability. However,
two critical issues remain unresolved. First, past research has not clearly
distinguished between two scenarios: hub regions facing a higher risk of
connectivity disruption (targeted attack) and all regions having an equal risk
(random attack). Second, human studies offering support for activity-dependent
explanations remain scarce. We refined the hub disruption index to demonstrate a
hub disruption pattern in functional connectivity in autosomal dominant AD that
aligned with targeted attacks. This hub disruption is detectable even in
preclinical stages, 12 years before the expected symptom onset and is amplified
alongside symptomatic progression. Moreover, hub disruption was primarily tied
to regional differences in global connectivity and sequentially followed changes
observed in amyloid-beta positron emission tomography cortical markers,
consistent with the activity-dependent degeneration explanation. Taken together,
our findings deepen the understanding of brain network organization in
neurodegenerative diseases and could be instrumental in refining diagnostic and
targeted therapeutic strategies for AD in the future.
Our research introduces a refined hub disruption index that reveals early and
progressive targeted connectivity impairments in brain regions central to
information transfer in Alzheimer’s disease (AD). Detectable up to 12
years before clinical symptoms, selective functional connectivity impairments
were higher at high global connectivity regions, preceding changes in
amyloid-beta positron emission tomography markers. This supports the concept of
activity-dependent degeneration and underscores the vulnerability of hub regions
to neurodegenerative processes. Our findings enhance the understanding of the
brain’s network organization in AD and offer significant potential for
improving early diagnosis and developing precise therapeutic interventions. |
doi_str_mv | 10.1162/netn_a_00395 |
format | Article |
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information transfer, are vulnerable to pathological alterations in
neurodegenerative conditions, including Alzheimer’s disease (AD).
Computational simulations and animal experiments have hinted at the theory of
activity-dependent degeneration as the cause of this hub vulnerability. However,
two critical issues remain unresolved. First, past research has not clearly
distinguished between two scenarios: hub regions facing a higher risk of
connectivity disruption (targeted attack) and all regions having an equal risk
(random attack). Second, human studies offering support for activity-dependent
explanations remain scarce. We refined the hub disruption index to demonstrate a
hub disruption pattern in functional connectivity in autosomal dominant AD that
aligned with targeted attacks. This hub disruption is detectable even in
preclinical stages, 12 years before the expected symptom onset and is amplified
alongside symptomatic progression. Moreover, hub disruption was primarily tied
to regional differences in global connectivity and sequentially followed changes
observed in amyloid-beta positron emission tomography cortical markers,
consistent with the activity-dependent degeneration explanation. Taken together,
our findings deepen the understanding of brain network organization in
neurodegenerative diseases and could be instrumental in refining diagnostic and
targeted therapeutic strategies for AD in the future.
Our research introduces a refined hub disruption index that reveals early and
progressive targeted connectivity impairments in brain regions central to
information transfer in Alzheimer’s disease (AD). Detectable up to 12
years before clinical symptoms, selective functional connectivity impairments
were higher at high global connectivity regions, preceding changes in
amyloid-beta positron emission tomography markers. This supports the concept of
activity-dependent degeneration and underscores the vulnerability of hub regions
to neurodegenerative processes. Our findings enhance the understanding of the
brain’s network organization in AD and offer significant potential for
improving early diagnosis and developing precise therapeutic interventions.</description><identifier>ISSN: 2472-1751</identifier><identifier>EISSN: 2472-1751</identifier><identifier>EISSN: 2644-2353</identifier><identifier>DOI: 10.1162/netn_a_00395</identifier><identifier>PMID: 39735502</identifier><language>eng</language><publisher>255 Main Street, 9th Floor, Cambridge, Massachusetts 02142, USA: MIT Press</publisher><subject>Alzheimer’s disease ; Biomarker ; Functional connectivity ; Hubs ; Neurodegeneration</subject><ispartof>Harvard data science review, 2024-12, Vol.8 (4), p.1265-1290</ispartof><rights>2024 Massachusetts Institute of Technology.</rights><rights>2024 Massachusetts Institute of Technology 2024 Massachusetts Institute of Technology</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2843-7cd78a54538bec4f9aedc954cd38615bbd6c61498103b162e45abb4322d5933e3</cites><orcidid>0000-0002-3409-8777 ; 0000-0003-1982-9890</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/PMC11674321/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11674321/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,33745,53791,53793,64387</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39735502$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tu, Jiaxin Cindy</creatorcontrib><creatorcontrib>Millar, Peter R.</creatorcontrib><creatorcontrib>Strain, Jeremy F.</creatorcontrib><creatorcontrib>Eck, Andrew</creatorcontrib><creatorcontrib>Adeyemo, Babatunde</creatorcontrib><creatorcontrib>Snyder, Abraham Z.</creatorcontrib><creatorcontrib>Daniels, Alisha</creatorcontrib><creatorcontrib>Karch, Celeste</creatorcontrib><creatorcontrib>Huey, Edward D.</creatorcontrib><creatorcontrib>McDade, Eric</creatorcontrib><creatorcontrib>Day, Gregory S.</creatorcontrib><creatorcontrib>Yakushev, Igor</creatorcontrib><creatorcontrib>Hassenstab, Jason</creatorcontrib><creatorcontrib>Morris, John</creatorcontrib><creatorcontrib>Llibre-Guerra, Jorge J.</creatorcontrib><creatorcontrib>Ibanez, Laura</creatorcontrib><creatorcontrib>Jucker, Mathias</creatorcontrib><creatorcontrib>Mendez, Patricio Chrem</creatorcontrib><creatorcontrib>Perrin, Richard J.</creatorcontrib><creatorcontrib>Benzinger, Tammie L. S.</creatorcontrib><creatorcontrib>Jack, Clifford R.</creatorcontrib><creatorcontrib>Betzel, Richard</creatorcontrib><creatorcontrib>Ances, Beau M.</creatorcontrib><creatorcontrib>Eggebrecht, Adam T.</creatorcontrib><creatorcontrib>Gordon, Brian A.</creatorcontrib><creatorcontrib>Wheelock, Muriah D.</creatorcontrib><creatorcontrib>Dominantly Inherited Alzheimer Network</creatorcontrib><creatorcontrib>the Dominantly Inherited Alzheimer Network</creatorcontrib><title>Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer’s disease</title><title>Harvard data science review</title><addtitle>Netw Neurosci</addtitle><description>Hub regions in the brain, recognized for their roles in ensuring efficient
information transfer, are vulnerable to pathological alterations in
neurodegenerative conditions, including Alzheimer’s disease (AD).
Computational simulations and animal experiments have hinted at the theory of
activity-dependent degeneration as the cause of this hub vulnerability. However,
two critical issues remain unresolved. First, past research has not clearly
distinguished between two scenarios: hub regions facing a higher risk of
connectivity disruption (targeted attack) and all regions having an equal risk
(random attack). Second, human studies offering support for activity-dependent
explanations remain scarce. We refined the hub disruption index to demonstrate a
hub disruption pattern in functional connectivity in autosomal dominant AD that
aligned with targeted attacks. This hub disruption is detectable even in
preclinical stages, 12 years before the expected symptom onset and is amplified
alongside symptomatic progression. Moreover, hub disruption was primarily tied
to regional differences in global connectivity and sequentially followed changes
observed in amyloid-beta positron emission tomography cortical markers,
consistent with the activity-dependent degeneration explanation. Taken together,
our findings deepen the understanding of brain network organization in
neurodegenerative diseases and could be instrumental in refining diagnostic and
targeted therapeutic strategies for AD in the future.
Our research introduces a refined hub disruption index that reveals early and
progressive targeted connectivity impairments in brain regions central to
information transfer in Alzheimer’s disease (AD). Detectable up to 12
years before clinical symptoms, selective functional connectivity impairments
were higher at high global connectivity regions, preceding changes in
amyloid-beta positron emission tomography markers. This supports the concept of
activity-dependent degeneration and underscores the vulnerability of hub regions
to neurodegenerative processes. Our findings enhance the understanding of the
brain’s network organization in AD and offer significant potential for
improving early diagnosis and developing precise therapeutic interventions.</description><subject>Alzheimer’s disease</subject><subject>Biomarker</subject><subject>Functional connectivity</subject><subject>Hubs</subject><subject>Neurodegeneration</subject><issn>2472-1751</issn><issn>2472-1751</issn><issn>2644-2353</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNptkc1uEzEUhS0EolXpjjXykgUB_2bGK1RVFCJVYgNr6459J3E0Ywd7plK74jV4PZ6kDikllVjZso--e885hLzm7D3nS_Eh4hQtWMak0c_IqVCNWPBG8-dH9xNyXsqWMSa44Ey1L8mJNI3UmolTAqvoMkIJcU03c0d9KHneTSFFuoMMw4BDoR5HjFMAWvAGc5huaYgU5imVNMJAfRpDhDjRi-Fug2HE_Pvnr7JHVTC-Ii96GAqeP5xn5PvVp2-XXxbXXz-vLi-uF060Si4a55sWtNKy7dCp3gB6Z7RyXrZLrrvOL92SK9NyJrtqHZWGrlNSCK-NlCjPyOrA9Qm2dpfDCPnWJgj2z0PKawt5Cm5Aa2o0wI3yxnPFPQMnme8b1msFYISrrI8H1m7uxrpHdV-zeAJ9-hPDxq7Tja2lNHUnXglvHwg5_ZixTHYMxeEwQMQ0Fyu5ZnzvrKnSdwepy6mUjP3jHM72QGGPW67yN8e7PYr_dvpv9Bgmu01zjjX2_7PuAUSftB0</recordid><startdate>20241210</startdate><enddate>20241210</enddate><creator>Tu, Jiaxin Cindy</creator><creator>Millar, Peter R.</creator><creator>Strain, Jeremy F.</creator><creator>Eck, Andrew</creator><creator>Adeyemo, Babatunde</creator><creator>Snyder, Abraham Z.</creator><creator>Daniels, Alisha</creator><creator>Karch, Celeste</creator><creator>Huey, Edward D.</creator><creator>McDade, Eric</creator><creator>Day, Gregory S.</creator><creator>Yakushev, Igor</creator><creator>Hassenstab, Jason</creator><creator>Morris, John</creator><creator>Llibre-Guerra, Jorge J.</creator><creator>Ibanez, Laura</creator><creator>Jucker, Mathias</creator><creator>Mendez, Patricio Chrem</creator><creator>Perrin, Richard J.</creator><creator>Benzinger, Tammie L. S.</creator><creator>Jack, Clifford R.</creator><creator>Betzel, Richard</creator><creator>Ances, Beau M.</creator><creator>Eggebrecht, Adam T.</creator><creator>Gordon, Brian A.</creator><creator>Wheelock, Muriah D.</creator><general>MIT Press</general><general>The MIT Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3409-8777</orcidid><orcidid>https://orcid.org/0000-0003-1982-9890</orcidid></search><sort><creationdate>20241210</creationdate><title>Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer’s disease</title><author>Tu, Jiaxin Cindy ; Millar, Peter R. ; Strain, Jeremy F. ; Eck, Andrew ; Adeyemo, Babatunde ; Snyder, Abraham Z. ; Daniels, Alisha ; Karch, Celeste ; Huey, Edward D. ; McDade, Eric ; Day, Gregory S. ; Yakushev, Igor ; Hassenstab, Jason ; Morris, John ; Llibre-Guerra, Jorge J. ; Ibanez, Laura ; Jucker, Mathias ; Mendez, Patricio Chrem ; Perrin, Richard J. ; Benzinger, Tammie L. 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S.</au><au>Jack, Clifford R.</au><au>Betzel, Richard</au><au>Ances, Beau M.</au><au>Eggebrecht, Adam T.</au><au>Gordon, Brian A.</au><au>Wheelock, Muriah D.</au><aucorp>Dominantly Inherited Alzheimer Network</aucorp><aucorp>the Dominantly Inherited Alzheimer Network</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer’s disease</atitle><jtitle>Harvard data science review</jtitle><addtitle>Netw Neurosci</addtitle><date>2024-12-10</date><risdate>2024</risdate><volume>8</volume><issue>4</issue><spage>1265</spage><epage>1290</epage><pages>1265-1290</pages><issn>2472-1751</issn><eissn>2472-1751</eissn><eissn>2644-2353</eissn><abstract>Hub regions in the brain, recognized for their roles in ensuring efficient
information transfer, are vulnerable to pathological alterations in
neurodegenerative conditions, including Alzheimer’s disease (AD).
Computational simulations and animal experiments have hinted at the theory of
activity-dependent degeneration as the cause of this hub vulnerability. However,
two critical issues remain unresolved. First, past research has not clearly
distinguished between two scenarios: hub regions facing a higher risk of
connectivity disruption (targeted attack) and all regions having an equal risk
(random attack). Second, human studies offering support for activity-dependent
explanations remain scarce. We refined the hub disruption index to demonstrate a
hub disruption pattern in functional connectivity in autosomal dominant AD that
aligned with targeted attacks. This hub disruption is detectable even in
preclinical stages, 12 years before the expected symptom onset and is amplified
alongside symptomatic progression. Moreover, hub disruption was primarily tied
to regional differences in global connectivity and sequentially followed changes
observed in amyloid-beta positron emission tomography cortical markers,
consistent with the activity-dependent degeneration explanation. Taken together,
our findings deepen the understanding of brain network organization in
neurodegenerative diseases and could be instrumental in refining diagnostic and
targeted therapeutic strategies for AD in the future.
Our research introduces a refined hub disruption index that reveals early and
progressive targeted connectivity impairments in brain regions central to
information transfer in Alzheimer’s disease (AD). Detectable up to 12
years before clinical symptoms, selective functional connectivity impairments
were higher at high global connectivity regions, preceding changes in
amyloid-beta positron emission tomography markers. This supports the concept of
activity-dependent degeneration and underscores the vulnerability of hub regions
to neurodegenerative processes. Our findings enhance the understanding of the
brain’s network organization in AD and offer significant potential for
improving early diagnosis and developing precise therapeutic interventions.</abstract><cop>255 Main Street, 9th Floor, Cambridge, Massachusetts 02142, USA</cop><pub>MIT Press</pub><pmid>39735502</pmid><doi>10.1162/netn_a_00395</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0002-3409-8777</orcidid><orcidid>https://orcid.org/0000-0003-1982-9890</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alzheimer’s disease Biomarker Functional connectivity Hubs Neurodegeneration |
title | Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer’s disease |
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