Evidence map›Paper›PMID 37961586›Full record

ArticlebioRxiv : the preprint server for biology2023

Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer disease.

Jiaxin Cindy Tu, Peter R Millar, Jeremy F Strain, Andrew Eck, Babatunde Adeyemo, Alisha Daniels, Celeste Karch, Edward D Huey, Eric McDade, Gregory S Day and 17 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 7 institutions in 2 countries.

Jiaxin Cindy TuDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA, 63108.ORCID 0000-0003-1982-9890
Peter R MillarDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Jeremy F StrainDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Andrew EckDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Babatunde AdeyemoDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Alisha DanielsDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Celeste KarchDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA, 63108.ORCID 0000-0002-6854-5547
Edward D HueyDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, 02912.
Eric McDadeDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Gregory S DayDepartment of Neurology, Mayo Clinic College of Medicine, Jacksonville, FL, USA, 32224.ORCID 0000-0001-5133-5538
Igor YakushevDepartment of Nuclear Medicine, Technical University of Munich, Munich, Germany, 81675.
Jason HassenstabDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
John MorrisDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Jorge J Llibre-GuerraDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Laura IbanezDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.ORCID 0000-0003-2381-7059
Mathias JuckerDepartment of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany, 72076.ORCID 0000-0001-9045-1072
Patricio Chrem MendezMemory Center, Fleni, Argentina, C1428AQK.
Randell J BatemanDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.ORCID 0000-0002-7729-1702
Richard J PerrinDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Tammie BenzingerDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.ORCID 0000-0002-8114-0552
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA 55905.ORCID 0000-0001-7916-622X
Richard BetzelDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN USA, 47405.
Beau M AncesDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Adam T EggebrechtDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Brian A GordonDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA, 63108.ORCID 0000-0003-2109-2955
Muriah D WheelockDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA, 63108.
Dominantly Inherited Alzheimer Network
Washington University in St. Louis · USBrown University · USGerman Center for Neurodegenerative Diseases · DEIndiana University Bloomington · USJacksonville College · USMayo Clinic in Arizona · USTechnical University of Munich · DE

Funding

Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI RICHARD Justin PERRIN · 2020 to 2026
$28.7M
Genetic basis of neuropsychiatric symptoms in Alzheimer's diseaseU01AG079850 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gary Wayne Beecham, Edward D Huey · 2023 to 2026
$3.0M
Neuroanatomical associations with the factor structure underlying neuropsychiatric symptoms in Alzheimer's diseaseR01AG062268 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUEY, EDWARD D · 2018 to 2022
$2.5M
NINDS CENTER CORE FOR BRAIN IMAGINGP30NS098577 · NINDS · WASHINGTON UNIVERSITY · PI HERSHEY, TAMARA G, MARCUS, DANIEL SCOTT · 2016 to 2019
$2.4M
Using RDoC Negative and Positive Valence Paradigms to Investigate the Mechanisms of Neuropsychiatric Symptoms (NPS) in Alzheimer's Disease and Related DementiasR01MH120794 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUEY, EDWARD D · 2019 to 2023
$2.1M
PURCHASE OF A SIEMENS NEXT GENERATION PET/CTS10OD025214 · OD · WASHINGTON UNIVERSITY · PI WOODARD, PAMELA K · 2018 to 2018
$2.0M
Innovative biostatistical approaches to network level analyses of connectome-behavior relationshipsR00EB029343 · NIBIB · WASHINGTON UNIVERSITY · PI WHEELOCK, MURIAH D · 2022 to 2024
$955k
Neuroimaging Markers of Emerging Dysfunction In Preclinical Alzheimer DiseaseK01AG053474 · NIA · WASHINGTON UNIVERSITY · PI GORDON, BRIAN ANDREW · 2017 to 2021
$623k
Network level analysis of progressive brain degeneration in autosomal dominant Alzheimer diseaseK99EB029343 · NIBIB · WASHINGTON UNIVERSITY · PI WHEELOCK, MURIAH D · 2020 to 2021
$484k
NIA NIH HHS K01 AG053474NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG062268NIA NIH HHS U01 AG079850NIA NIH HHS U19 AG032438NIBIB NIH HHS K99 EB029343NIBIB NIH HHS R00 EB029343NIH HHS S10 OD025214NIMH NIH HHS R01 MH120794NINDS NIH HHS P30 NS098577
6 · The paper itself

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 Disease (AD). Given their essential role in neural communication, disruptions to these hubs have profound implications for overall brain network integrity and functionality. Hub disruption, or targeted impairment of functional connectivity at the hubs, is recognized in AD patients. Computational models paired with evidence from animal experiments hint at a mechanistic explanation, suggesting that these hubs may be preferentially targeted in neurodegeneration, due to their high neuronal activity levels-a phenomenon termed "activity-dependent degeneration". Yet, two critical issues were unresolved. First, past research hasn't definitively shown whether hub regions face a higher likelihood of impairment (targeted attack) compared to other regions or if impairment likelihood is uniformly distributed (random attack). Second, human studies offering support for activity-dependent explanations remain scarce. We applied a refined hub disruption index to determine the presence of targeted attacks in AD. Furthermore, we explored potential evidence for activity-dependent degeneration by evaluating if hub vulnerability is better explained by global connectivity or connectivity variations across functional systems, as well as comparing its timing relative to amyloid beta deposition in the brain. Our unique cohort of participants with autosomal dominant Alzheimer Disease (ADAD) allowed us to probe into the preclinical stages of AD to determine the hub disruption timeline in relation to expected symptom emergence. Our findings reveal a hub disruption pattern in ADAD aligned with targeted attacks, detectable even in pre-clinical stages. Notably, the disruption's severity amplified alongside symptomatic progression. Moreover, since excessive local neuronal activity has been shown to increase amyloid deposition and high connectivity regions show high level of neuronal activity, our observation that hub disruption was primarily tied to regional differences in global connectivity and sequentially followed changes observed in Aβ PET cortical markers is consistent with the activity-dependent degeneration model. Intriguingly, these disruptions were discernible 8 years before the expected age of symptom onset. Taken together, our findings not only align with the targeted attack on hubs model but also suggest that activity-dependent degeneration might be the cause of hub vulnerability. This deepened understanding could be instrumental in refining diagnostic techniques and developing targeted therapeutic strategies for AD in the future.

Indexed as

Alzheimer diseasebiomarkerfunctional connectivityhubsneurodegeneration

Identifiers

PMID37961586
PMCPMC10634945
OpenAlexW4388229504

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.