Evidence map›Paper›PMID 36625756›Full record

ArticleBrain : a journal of neurology2023

Brain network decoupling with increased serum neurofilament and reduced cognitive function in Alzheimer's disease.

Muriah D Wheelock, Jeremy F Strain, Patricia Mansfield, Jiaxin Cindy Tu, Aaron Tanenbaum, Oliver Preische, Jasmeer P Chhatwal, David M Cash, Carlos Cruchaga, Anne M Fagan and 18 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

16 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors at 8 institutions in 4 countries.

Muriah D WheelockDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-3409-8777
Jeremy F StrainDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
Patricia MansfieldSchool of Medicine, Saint Louis University, St. Louis, MO, USA.
Jiaxin Cindy TuDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-1982-9890
Aaron TanenbaumDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-1627-9654
Oliver PreischeGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Jasmeer P ChhatwalDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-7792-1698
David M CashDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0001-7833-616X
Carlos CruchagaDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-5261-689X
Anne M FaganDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-5383-0214
Nick C FoxDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0002-6660-657X
Neill R Graff-RadfordDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.ORCID 0000-0001-9847-9096
Jason HassenstabDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-7802-3371
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-7916-622X
Celeste M KarchDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-6854-5547
Johannes LevinDepartment of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0001-5092-4306
Eric M McDadeDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-6764-3866
Richard J PerrinDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
Peter R SchofieldNeuroscience Research Australia, Sydney, NSW, Australia.ORCID 0000-0003-2967-9662
Chengjie XiongDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-0044-4499
John C MorrisDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0001-9820-5618
Randal J BatemanDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-7729-1702
Mathias JuckerGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.ORCID 0000-0001-9045-1072
Tammie L S BenzingerDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-8114-0552
Beau M AncesDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-3862-7397
Adam T EggebrechtDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-6320-2676
Brian A GordonDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-2109-2955
Dominantly Inherited Alzheimer Network
Washington University in St. Louis · USGerman Center for Neurodegenerative Diseases · DEUK Dementia Research Institute · GBMassachusetts General Hospital · USMayo Clinic in Arizona · USUNSW Sydney · AUWinnMed · USSaint Louis University · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PHILIP L DE JAGER · 2020 to 2026
$30.1M
Dominantly Inherited Alzheimer NetworkUF1AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2017
$21.6M
Dissect the mechanisms of selective regional vulnerability in Lewy Body Dementias via comparative snRNA-seq analysisR01NS123571 · NINDS · WASHINGTON UNIVERSITY · PI XU, JINBIN, ZHAO, GUOYAN · 2021 to 2025
$3.6M
PURCHASE OF A SIEMENS NEXT GENERATION PET/CTS10OD025214 · OD · WASHINGTON UNIVERSITY · PI WOODARD, PAMELA K · 2018 to 2018
$2.0M
POSTMORTEM VALIDATION OF BIOMARKERS FOR IMAGING PARKINSON DISEASER01NS092865 · NINDS · WASHINGTON UNIVERSITY · PI XU, JINBIN · 2016 to 2020
$1.7M
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
NCATS NIH HHS UL1 TR002345NIA NIH HHS K01 AG053474NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066462NIA NIH HHS UF1 AG032438NIBIB NIH HHS R00 EB029343NIH HHS S10 OD025214NINDS NIH HHS R01 NS092865
6 · The paper itself

Abstract

Neurofilament light chain, a putative measure of neuronal damage, is measurable in blood and CSF and is predictive of cognitive function in individuals with Alzheimer's disease. There has been limited prior work linking neurofilament light and functional connectivity, and no prior work has investigated neurofilament light associations with functional connectivity in autosomal dominant Alzheimer's disease. Here, we assessed relationships between blood neurofilament light, cognition, and functional connectivity in a cross-sectional sample of 106 autosomal dominant Alzheimer's disease mutation carriers and 76 non-carriers. We employed an innovative network-level enrichment analysis approach to assess connectome-wide associations with neurofilament light. Neurofilament light was positively correlated with deterioration of functional connectivity within the default mode network and negatively correlated with connectivity between default mode network and executive control networks, including the cingulo-opercular, salience, and dorsal attention networks. Further, reduced connectivity within the default mode network and between the default mode network and executive control networks was associated with reduced cognitive function. Hierarchical regression analysis revealed that neurofilament levels and functional connectivity within the default mode network and between the default mode network and the dorsal attention network explained significant variance in cognitive composite scores when controlling for age, sex, and education. A mediation analysis demonstrated that functional connectivity within the default mode network and between the default mode network and dorsal attention network partially mediated the relationship between blood neurofilament light levels and cognitive function. Our novel results indicate that blood estimates of neurofilament levels correspond to direct measurements of brain dysfunction, shedding new light on the underlying biological processes of Alzheimer's disease. Further, we demonstrate how variation within key brain systems can partially mediate the negative effects of heightened total serum neurofilament levels, suggesting potential regions for targeted interventions. Finally, our results lend further evidence that low-cost and minimally invasive blood measurements of neurofilament may be a useful marker of brain functional connectivity and cognitive decline in Alzheimer's disease.

Indexed as

Alzheimer DiseaseCognitive DysfunctionConnectomeBrainCognitionCross-Sectional StudiesHumansIntermediate FilamentsMagnetic Resonance ImagingNerve Netdefault mode networkenrichmentfunctional connectivityneurodegenerationNfLresting state

Identifiers

PMID36625756
PMCPMC10316768
OpenAlexW4313992148

What OpenQuestion holds

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Registered trials

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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.