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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Veröffentlicht in:Harvard data science review 2024-12, Vol.8 (4), p.1265-1290
Hauptverfasser: 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.
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container_end_page 1290
container_issue 4
container_start_page 1265
container_title Harvard data science review
container_volume 8
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
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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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